Top 10 Machine Learning Start-ups In 2021

FEBRUARY 2021

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Machine Learning Start-ups In 2021

Fraud Detection: How Machine Learning Systems Helps in Revealing Scams.

Autonomous Driving:

Medical Diagnosis With The Help Of Machine Learning

An Integral Part Of Machine Learning Algorithms

RAMKUMAR THIRUMURTHI xxxx Co-founder & CEO

Co-Founders

AUTOLYTICS TECHNOLOGY PRIVATE LIMITED

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From t he E d itor …

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rtificial Intelligence (AI) is everywhere. Possibility is that you are using it in one way or the other and you don’t even know about it. One of the popular applications of AI is Machine Learning (ML), in which computers, software, and devices perform via cognition (very similar to human brain). Herein, we share few examples of the recent trends in machine learning that we use every day and perhaps have no idea that they are driven by ML. It’s always a pleasure to bring this magazine to all the readers. I am really encouraged by the feedback received from the readers and the institutions/ companies which are in association with our magazine.

I’ve wanted to be there not just by virtue of being the editor but because I had something to say something that might join us for a moment in that miraculous way words can. There seems to be an increasing level of confidence displayed by our team in practice, as they realise that the market demand for their skills is growing at an almost exponential rate. Many thanks to my team for the work undertaken.

Some print pieces have complementary components such as additional coverage, advertisements and still photography. There are regular columns by the editors with reflective articles to provide a window onto the Machine Learning and its importance.

The cover story has featured a very innovative personality Mr. Ramkumar Thirumurthi (CEO) of Autolytics Technology Private Limited. A visionary personality has brought machine learning into day-to-day life to make it more efficient.

SwiftNLift magazine is not just a print or digital anymore but everything we do derives from its long-standing character, approach and quality - while we continue to produce the print publication with as much dedication as ever.

- Nilesh Sabe Nilesh Sabe Chief Editor

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Fraud Detection: How Machine Learning Systems Helps in Revealing Scams.

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Autonomous Driving: An Integral Part Of Machine Learning Algorithms

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Medical Diagnosis With The Help Of Machine Learning

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RAMKUMAR THIRUMURTHI Co-founder & CEO

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Machine Learning Start-ups In 2021

“Actyv is an Intelligent technology layer between the FIs and Customers enabling and empowering swift/instant bidirectional interaction.”

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1 Autolytics Technology Private Limited Machine Learning Start-ups In 2021

AUTOLYTICS TECHNOLOGY PRIVATE approach - ‘Human in the loop Machine learning’.

LIMITED is a private company, incorporated in After all, COVID-19 made it abundantly clear that

April 2019. It is located in Bangalore and is driven by it was the local ecosystem that saved the day. We are Mr. Ramkumar Thirumurthi (CEO) And Mr. Raghu for WPA – With People Automation, people are at the Venkat (CTO). With a highly professional and talented centre of everything we do. This is our core principle. staff of 25 employees, Autolytics Technology is gaining a momentum.

Were there any constraints you faced

It was a wonderful experience interviewing Mr. Ramkumar Thirumurthi for our magazine. We are while starting with the company? glad to share the conversation with all the readers. A Every venture goes through the initial phases of churn visionary personality has brought machine learning in ideas, people and priorities. We would rather say that they were challenges that set the course for greater into day-to-day life to make it more efficient. focus rather than call it constraints.

Tell us about the journey of Autolytics Technology Private Limited. Its vision and mission.

We started in April 2019. Raghu and I had put in over 22 years of work in our respective domains prior to this venture. It was imperative to put the collective experience to good use and to create a visible difference where it is needed the most. With a clear vision to technologically empower Financial Institutions, Large Enterprises & SME (Small and Medium Enterprises) and solve their pain points, an ecosystem needed to be created for seamless interactions. We have set out on this mission. Artificial Intelligence, Machine Learning and Automation is needed but for enabling and making people more efficient. The SMEs should still exist, jobs should flourish and there should still be some hybrid

What services do you provide to the customers?

We provide a plethora of digital tools as part of the platform to bring about a technological transformation to their existing or proposed business processes.

We aim to democratize access to technology and financial products with a cross-platform digital offering that simplifies the day-to-day life of our Customers.

How can technology create an eco-system?

Technology is the most powerful and efficient means to connect people with processes. It has no discretion when it comes to delivering value. A neo platform such as ours, sets the course for a seamless transition from a lot of manual processes to digital processes. This enables the creation of an ecosystem where purposeCo- founder & CTO driven interactions are transformed leading to a largescale transformation. As already mentioned, people do not get displaced but are empowered. An ecosystem use that power is literally in our hands as well (no pun with people being empowered with technology is the intended). Powerful tools have always been two edged way forward. swords, we need to be very careful in using them as it can very easily destroy us. We should cherish and be a part of this digital revolution but always be cognizant What does it mean to live in a digital of why we as a society invented this in the first place.

RAGHU VENKAT

world?

Most aspects of our lives, even if we are not aware of it revolves around Digital Technology. In the majority of cases, these digital technologies have developed out of a desire to make our lives easier or more efficient.

Digitalization and new technologies such as cloud computing, artificial intelligence, big data and the internet are the things which are transforming the world in a way one had never imagined. The increasing ubiquity of devices and the availability of data has global implications that needs useful, innovative and reusable solutions. Using multidisciplinary approaches, the digital world aims to identify and solve real-world issues and contribute to developments at a social, political and economic level. Living in a digital world simply means you have the power to transform.

How digitization will change the world and what are its advantages?

Digital transformation brings the world to your palms.

With that kind of power, you can pretty much do what you want sitting at the comfort of your home. How we

How do you plan to partner neo banking with the traditional banks and help them acquire the customers in the most seamless manner?

As necessity drives innovation. It is the need of the hour that traditional banks adopt digital tools or platforms and bring about the much-needed unique experience to the customers. We are putting together the required technology layer or platform that enables this. With a large established physical network powered by our technology, the acquisition of customers will be just a click away.

How the collaboration with Financial Institutions and Enterprises will fuel the growth of MSMEs?

increase efficiency and throughput in case of SMEs. By building a digital layer for the FIs and Enterprises and solving for the working capital and business processes to SMEs, we build traction as well.

We are unique in the sense of being able to get all the Stakeholders on to a single platform and solve their pain points. FIs need to be connected to the MSMEs What is your strategy to reach new industries to offer banking products more so does the working and new customers? capital seamlessly but at the same time it must have We are a bit different from the other start-ups. Here at access to consent-based data.

Actyv, we strongly believe in solving pain points. Though Enterprises work with MSMEs to reach the last mile there is value in marketing but premature marketing and with the advent of COVID- 19, it is more necessary leads to high cash burn. Strategic partnerships that for them to be digitally connected. thrive in solving pain points for a lasting impact will We partner with FIs and Enterprises to acquire the drive our acquisition of new customers.

SMEs as it is difficult to reach them individually.

To enable a digital journey for all stakeholders involved, What are your upcoming projects? a plethora of digital tools have been developed. These tools solve for the basic business processes and Expansion to US and Middle East is our top priority.

RAMKUMAR THIRUMURTHI Co-founder & CEO

Address: Autolytics Technology Private Limited No 107, 3rd Cross J Block, Koramangala Bangalore Bangalore KA 560034 IN Website: https://www.actyv.com/

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PRAEDICO GLOBAL RESEARCH PRIVATE LIMITED

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t was a wonderful experience interviewing PRAEDICO GLOBAL RESEARCH PRIVATE LIMITED for our magazine. Praedico’s offices in India are located at Hyderabad, Delhi, Gurgaon, Gwalior and in Canada it is located Scarborough. Mr. Priyank Gupta is the Director - Chief Technical Officer (CTO) and Mr. Sunny Ralli is the Director - Chief Research Officer (CRO) of the company. This amazing company has the turnover of around 5 Crores.

We are glad to share this exclusive conversation with all the readers.

Tell us about your company. Its vision and mission.

Using Deep Learning.

Praedico Global Research focuses on the use of artificial intelligence to forecast the trends in the stock markets across the globe. Praedico Global Research is India’s first Financial Neuron Developer with the help of Machine Learning. They take a shot at the model of spreading financial literacy all over the globe and have their exploration model for India and worldwide stock trades.

The Company also conducts financial related workshops all over the globe. They offer their services to clients trading on stock markets all around the world. They use Financial Research and Neural Network Programming to develop hybrid products that can be used by traders and investors for better prediction of their investments.

Our Vision - To be the bellwethers in eradicating financial Praedico Global Research Private Limited is a private discrepancy around the world by providing financial company that is incorporated on 09 April access to people who do not have money to access costly financial products.

2018. We deal in Stock Market Training, Our Mission - To be the leader in financial products Stock Marketing development the world over. Products so developed Predictive Software, should have the highest performance and lowest fees in Robotic Stock Trading, comparison to other financial products in the Global Equity Research, market.

Portfolio Designing, Financial Literacy and Stock Market Research Tell us about the Founder/CEO’s

of the company and what were the constraints you faced at the initial stage?

Our founders Sunny Ralli (CRO) and Priyank

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FEBRUARY 2021 SwiftNLift

PRIYANK GUPTA

SUNNY RALLI

Director CTO

Director CRO

Gupta (CTO) realized that the financial industry needed improvements. Currently, banking as well as financial industries, are using the same old techniques which were used 10-15 years ago. For other UPI payments, the financial industry is still working on the same traditional process. They are not working on advanced models or new technologies. The company decided to provide our country the best possible solutions. The company decided to integrate the financial knowledge with the technology.

As every start-up faces some difficulties in one way to another. When the company started 4 years ago, people were not sure about the services provided but as soon as the results arrived of our prediction models, the technology used by Praedico was patented. Once the company got patented and when the accuracy of the predictions models was giving best results then people started believing in the services. Earlier people denied the usage of prediction models in finance and human brains cannot be replaced with technology but Praedico has replaced the human brains with the developed software by providing more accuracy. Gradually the company gained momentum and proceeded working on the advanced levels of prediction models.

Industry expert trainers. Live training exposure in market hours and India’s best training in the field of the stock market.

Neural networks or neural nets were inspired by the architecture of neurons in the human brain and we at Praedico Global Research are creators of these financial neurons in the field of stock market intelligence. We are a modern generation Fintech company that believes in discovering new research products in the field of finance with the effective use of Artificial Intelligence. We believe in providing free topnotch research to people across India with the highest accuracy. Our products boast of an accurate prediction of the Indian Stock Market and financial products with an accuracy of more than 80%.

Average Indian investors spend an average of 40k-50k in the form of advisory & research fees which Praedico aims to overthrow to zilch in coming years.

What might you find when you are looking at the overall process where something simple might have been stalling it?

Overall Process includes working on top solutions where we decode the problems from the bottom. The major How do you stay on top of changes in the constraint is financial problem. We have created software process, changes in thought of industries which will do all the funds and technology analysis through an app, which can be used all over India irrespective that you are going to look at more now? of urban and rural areas. For example, we work on the The company has its own AI-based trading software bottom-up where we find out the problem and then find FEBRUARY 2021 SwiftNLift

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out the possible 4-5 solution and work access of financial activities in rural on the best solution for the outcome. and semi-urban areas that leads to rationalizing and also saves the time of our clients as they don’t have Why choose Praedico Global to travel across. We also offer our services to clients trading on stock Research? markets all around the world. We By choosing Praedico Global identify the trend on the stock market Research Private Limited, you will and make an accurate prediction with get distinguish products built with at least an 80% confidence level. We advanced accuracy at the cheapest perform with a stock performance at cost possible as we believe in different times with a target price of 6 economizing and cost-efficiency. months, 1 year and 3 years.

The company has achieved many successes within the limited period time of its existence and currently, we Tell us about the recruitment are servicing the next generation just process and the environment like a research laboratory. We assist you with fundamental and technical at your company. How do analysis report of the client’s portfolio you get recommended? at certain time intervals.

While we hire any employee, we go through our selection process with certain parameters like - taking a How clients are getting personal interview, monitoring them benefited by doing business and the knowledge of the basics they carry in their minds, plus how with you?

Clients are being benefited by doing passionate they are regarding their business with us as we deliver the career and also what presupposition they’ve with our firm. Also, we do hire 18

employees through recommendations but before that they have to undergo the selection process. The environment is absolutely generous at the workplace. There are also many other perks provided with the job.

Currently the company is gaining momentum with the strength of 6580 employees.

We have been in this journey for so long. We get recommended by many of our institutional tie-ups and also through our retail customer’s references.

How do you contribute to make the industry better?

What can be expected in upcoming years?

Praedico Global Research can help the industry grow by working on the next-gen technologies and algorithms in the field of finance.

We are currently using and working on the languages and programs of the next-gen. Through this, we will FEBRUARY 2021 SwiftNLift

introduce the industry to advanced technologies, which has never been done by any other company.

Our goal is integration of software programming with finance at the highest possible level. Our company is trying to utilize the software programming in the most optimum way. We are working on languages like R, Python, SPSS and all the data mining to bring the best products in the industry. Our ultimate goal is to remove the monologue from the industry so that finance works on the prediction models rather than the traditional process.

In the coming years, Praedico Global Research will come with an app for the government of India.

Our target in the upcoming five years is to move up our revenues up to 80 – 100 million dollars.

We are on the way to spread our wings internationally too. We have recently opened our office in Canada. We are expanding our company globally where we would be catering services to clients in the FEBRUARY 2021 SwiftNLift

US, Australia, Europe and Southern Praedico means ‘predict’ in Italian language and that’s what our products America. provide with accuracy. The strategy of Praedico is to reach new industries What are your views on and new customers. Provide them today’s industry scenario? the most advanced possible solutions What is your strategy to based on technology. The company will have to give huge amounts to reach new industries and a data scientist for the predictions new customers? but our products provide the same So, as per the recent scenario the process of data mining, analysis, industry is working mostly on the interpretation, etc. traditional methods. Although we call them Fintech companies but More information about the there are very rare companies that are company can be accessed at: working on future technologies. They www.praedicoglobalresearch.com just use the internet and provide the same old services. None is working on the AI part of the finance industry.

Until companies work on the AI part, they won’t be able to reach the mass level. Today’s industry need is fast technology and easy decision making. There should be a detailed combination of finance and computer science so that new products could be developed which performs better than the capability of human brains.

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iAssist Innovations Labs Tell us about your company. Its vision and mission. iAssist Innovation Labs Private Limited is a premier IT research organization ready to solve seemingly unsolvable problems, making its clients’ lives better and easier.

We, as a company, believe in the most important aspect of iAssist’s services bouquet i.e., these new-age Tech solutions that is developed after multiple deep dive sessions to understand customers business, environment better and then a design of unique solution, with the patented technology of iAssist Innovations Labs, keeping the important factors such as adoptability, ease of use and a close focus on minimal need of change in the current infrastructure of the customer at the right cost to the client. That is where our vision is defined.

Tell us about the Founder/ CEO of the company. Were there any constraints you met with at the initial stages?

Being a computer Engineer & and an INSEAD alumni himself, Sharad looks closely at Technology & Business both. He had started as an entrepreneur and developed mini-ERP to address specific needs in Medicines in 2001 but soon realized it won’t work out due to market conditions. Worked in different capacity during first few years and then started the Technology Vertical at Oracle in 2013. Ran it as his own company successfully for 4 years established the name across different verticals/groups with significant amount of success and while he was leaving it became a large organization of 250+ consultants. He never left the urge of developing technologies and had been doing it for good 19 years before he joined a start up as a CTO. Soon he realized that a product can20

not be successful if it’s not sold with the same passion of what It was developed with So he started iAssist Innovations in 2019 with a clear objective of Patents, Research, Product, Business and sharp Financial goals.

It's not easy to leave a lucrative job and start something from scratch but at times you have to take the plunge and it was then as the time had come, started with the first patent and then the first customer. We were a very few lucky ones to be financially independent in the first 4 months of operations and this is his how it started.

How do you stay on top of changes in the process, changes in thought of industries that you are going to look at more now?

Change is inevitable and we know that there is always a room for improvement in every solution that is out there in industry either it’s developed by us or by the likes of Microsoft or Googles of the world. As a company, we don’t want to get stagnated at a point where the next step to providing the solution would be either to keep providing the same answers or to keep following what has been offered before. That would make us redundant.

And in this market, we can’t allow ourselves to get complacent. This thought is what keeps us going. To look at each problem in different angles, such as customer’s IT maturity, extent of modernization that is required, not just giving an overload of Technology because we have already developed it, so as to simplify the changes in the process. This is the norm for the industries now-a-days as everyone wants unique solutions to their business and with the help of our own technology, we care able to tailor it to the extent possible.

FEBRUARY 2021 SwiftNLift

SHARAD KUMAR Founder & CEO What might you find when you are looking at the overall process where something simple might have been stalling it?

We are a one-stop-shop for the issues like digital transformation and provide a complete handholding for our valuable customers, not just by giving them our technology but by taking them through the journey right from One word. Innovation. No matter how complex or the day the decision was made by the customer till it how simple the solution is, iAssist always looks at the moves to business as usual. problem from Business’ perspective, which allows us to understand the problem from their point of view. The outcome is the unique solution to the Business, as men- How clients are getting benefited by doing tioned earlier. business with you?

Why should one prefer you?

We aren’t a regular start-up in the current IT market.

We pride ourselves in what we call our company a research and development organization. Unlike the other companies, which do provide the same monotonous solutions day in/out, we stand out by offering innovative solutions with the help of our patented technologies and the deep business insights.

FEBRUARY 2021 SwiftNLift

We always believe that no one can understand a business better than the people who run it themselves. This holds true in the case of every business, which, the company agrees, require tons of paperwork and a large amount of time for financial transactions to be processed from start to finish. With iAssist unique platform, many of the transactions which seemed to be impossible to read, understand and transform are possible and we have done a few implementations where processes that used to take days have come down to hours and minutes in 21

few cases.

totality, there are a very few who can see issues on totalThe design of unique solution(s), with the patented ity but again out of those very few, there are hardly one technology of iAssist Innovations Labs, keeping the im- or two who are having the right technology/product or portant factors such as adoptability, ease of use and a having enough skillsets to tweak a technology and make close focus on minimal need of change in the current it as per the exact need, mostly because it doesn’t belong infrastructure of the customer at a very reasonable cost to them.

Industry is shifting towards providing personalized to the client. products that would understand and address the internal and external IT needs with the help of right and new Do companies typically accept your age technology that is scalable and stable both. There are recommendations? How does the manner a two major areas where we see the industry is lacking

company treats their employees come into play?

A BIG Yes.

There are 2 main reasons, One - the business acumen that we bring to the table and an apt solution what a business need. The way we start with deciphering a business problem, do deep dives, and eventually, come up with an eloquent solution for our customers, we call it a unique approach; which customers never rejected because of the very approach. They are onboard the very first day of the engagement. iAssist takes pride in endowing itself in the client’s success, creating stronger collaborations.

(1) a good and complete product that suits customer (2) an easy integration and translation of technology in the business process by looking at various aspects such as need of technology, customer’s business processes and ability to adopt a change to make a program successful.

The major pain point of customers is to maintain multiple technologies, products and all. This introduces lots of other issues such as cost of development, cost of maintenance etc becomes very high.

We have addressed the same by developing our own technology and platform which address the complete IT needs and our deep consulting approach and methodSecond – our technical depth and no dependencies on ologies help our customers to get what would suit them anyone’s products or technologies. We are a bunch of the best without getting the overdose of either technoltech geeks who always bring multiple ideas to the table ogy or Processes or a change for that matter. for every problem. The brainstorming sessions wherein which multiple solutions are discussed and the way we How does the company aim to make the treat every recommendation provided by a colleague is what stands out, as we always trust that no solution is industry better? What are your future too easy or too complex. This gives the employees the ventures? confidence and the freedom to express themselves to ap- Our Innovations engine runs all the time, we are not proach a problem. satisfied with one or 2 of them or a few of patents. We

What are your views on today’s industry scenario? What is your strategy to reach new industries and new customers?

will keep finding issues that require our attention, shall develop more and more technologies and find customers who would need a tailored solution per their need.

More information about the company ca be accessed We strongly believe that those days will be gone soon at: www.iail.in when a generic product can be sold to customers and customer would take all the pain to customize it (internally or externally) and make it of their use. This requires a deep understanding of both Technology as well as Business. There is no dearth of Solution providers in Automation area or of Product development companies in the realm of AI and ML. The major issue with most of the players are, no one is ready to see a problem in 22

FEBRUARY 2021 SwiftNLift

Armstrong Capital & Financial Services Pvt. Ltd

FRAUD DETECTION: HOW MACHINE LEARNING SYSTEMS HELPS IN REVEALING SCAMS Fraud Detection Using Machine Learning deploys a machine learning (ML) model and an example dataset of credit card transactions to train the model to recognize fraud patterns. The model is self-learning which enables it to adapt to new, unknown fraud patterns.

Machine Learning and Artificial Intelligence in Fraud Detection “Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” — Larry Page, the co-founder and developer of Google.

E-Commerce world is so dynamic that things can change significantly within a few days. Here Machine Learning fraud detection methods will come in handy to learn new patterns.

 Scale. ML methods show a better performance along with the growth of the dataset to which they are fitted — meaning the more samples of fraudulent operations they are trained on, the better they recognize fraud. This principle does not apply to rule-based systems as long as they never evolve themselves. Also, a data science team should be aware of the risks linked to fast model scaling; if the model did not detect fraud and marked it incorrectly, this will lead to false  Works faster. Rule-based systems imply creating negatives in future. exact written rules to “tell” the algorithm which  Efficiency. Machines can take routine tasks types of operations seem normal and should be and the dirty work of manual analysis, while permitted, and which shouldn’t be because they specialists will only spend time making more seem suspicious. However, writing rules takes high-level decisions. a lot of time. Also, manual interaction in the Fraud Detection with Machine Learning becomes possible due to the ability of ML algorithms to learn from historical fraud patterns and recognize them in future transactions. Machine Learning algorithms appear more effective than humans when it comes to the speed of information processing. Also, MLpowered Fraud Detection algorithms are able to find sophisticated fraud traits that a human simply cannot detect.

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FEBRUARY 2021 SwiftNLift

The machine learning (ML) approach to fraud detection has received a lot of publicity in recent years and shifted industry interest from rule-based fraud detection systems to ML-based solutions.

hardly detect implicit correlations. On top of that, rule-based systems often use legacy software that can hardly process the real-time data streams that are critical for the digital space.

The rule-based approach.

ML-based fraud detection.

Fraudulent activities in finance can be detected by looking at on-surface and evident signals. Unusually, large transactions or the ones that happen in atypical locations obviously deserve additional verification.

Purely rule-based systems entail using algorithms that perform several fraud detection scenarios, manually written by fraud analysts. Today, legacy systems apply about 300 different rules on average to approve a transaction. That’s why rule-based systems remain too straightforward. They require adding/adjusting scenarios manually and can FEBRUARY 2021 SwiftNLift

However, there are also subtle and hidden events in user behaviour that may not be evident, but still signal possible fraud. Machine learning allows for creating algorithms that process large datasets with many variables and help find these hidden correlations between user behaviour and the likelihood of fraudulent actions. Another strength of machine learning systems compared to rulebased ones is faster data processing and less manual work. For example, smart algorithms fit well with behaviour analytics for helping reduce the number of verification steps.

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Purple Introduction Purple was incorporated in December 2017. Its offices are located at Kolkata and Bhubaneshwar.

Its Founding Members are Abhishek Biswas, Kaustav Banerjee, Shubham Gupta and Saurabh Jain. It runs on the funding granted by BIRAC instrument of Department of Bio-Technology of GOI which awarded Purple with INR 50 Lakhs as part Bio-Technology Ignition.

The vision of Purple is to bring mankind back to nature, to gaze at the stars & nothingness and tells its story and to defend mother earth. The mission of Purple is that it will eternally strive to be an end-to-end solution provider, to bring Innovations from the lab to the People. It also intends to achieve its vision by pursing R&D in Artificial Intelligence, Human Behavioural Analytics, Healthcare, Mathematics and Astronomy.

Mastering the Circumstances and Challenges The pandemic has led to a new horizon to open up in all sectors. The sudden flux in the need, 26

behaviours and other dynamics in people from all spheres whether it is work, personal or spiritual.

The new shift brought about by the pandemic has led to massive slowdown in spending behaviours and a near stop in outside movement beyond the boundaries of home even in the sphere of work. However, as continuity is essential even in the scenario of lockdowns and restrictions, to accommodate the same there has been a massive shift to digital in all walks of life.

Purple by relying on its time tested, fully digital and cloud-based business processes was successful in maintaining continuity.

With a portfolio of products curated to needs of the time Purple is ready to say it’s very own unique multi-modal Hello! To the World.

Many R&D organisation goes through s o m e hurd les through its initial stages. Lack FEBRUARY 2021 SwiftNLift

ABHISHEK BISWAS

CEO

of Communication is one of the challenges faced.

Purple too had to underwent this difficulty where entire Human Capital is engaged in area specific research for the organization. Intense focus in R&D often leads slower meeting cycles & negligence to other duties of life and instant solutions which may be achieved through all heads working together as one is often missed out. In other words, things can be quicker.

Advantages Purple relies on process simplification and cost synergies through process automation backed by advanced applications of technology.

Purple depends on simplification of customer touch points with technology. By creating touch points which are curated to the individualised or personalised needs of the customer through process design and innovation backed by cloudFEBRUARY 2021 SwiftNLift

based Ai technologies, customers specific needs are satisfied.

Integrity Where there is trust and honesty, success and progression reside over there. The Founder personally believes that – “a habit of studying to explore different fields often leads to having a good visualisation of problems and through discussions with different stakeholders.”

The fundamental element for any start-up is building trust and taking time not to rush things.

But eventually by the cost pained in time, the team was able explore and hone their skills, matched to dynamics requirements of R&D start-up.

Strategies and Implementation Purple since its inception has been a digital first 27

company and any changes brought about by the pandemic led to minimal impact and negligible changes in the operation and capabilities of the organization. Thus, in the new normal Purple can easily deploy its solutions and access global markets faster. From an internal perspective the impact is already visible.

Purple through multi-modal Ai approaches is capable to automate many business processes across a wide swathe of sectors. Apart for end-toend Ai and process automation services, Purple is in the process of launching its portfolio of products.

Purple describes its products based on its patent protected proprietary technology as follows: Aladaee Fully Automated Psycho-Analysis tool of both conscious & sub conscious parameters. Detailed reports for users for self-analysis, counselling, career advisory and skill level understanding.

SecureSound Due to societal preference for male child in India and select other countries, ultrasonography is often used as a tool for pre-natal sex-determination and thus acts as a facilitator for female foeticide. Purple’s software capable of integration with existing ultrasound machines censors foetal-genitalia and renders the ultrasound machines incapable of use for female foeticide, while retaining all other functionalities.

PurpleCOVID20 Due to the rampant spread of COVID19 Healthcare & hospital pipelines across the globe are under huge stress. A primary challenge being faced by doctors across the globe is uniform reporting of COVID19 severity in patients. CT scans are the primary modality through which COVID19 severity assessment is done for patients being treated in hospitals.

Severity (Patients without COVID19 are classified as Negative). Also, a HeatMap is provided, showing affected areas for doctor’s reference.

About the CEO Abhishek believes in out of the box thinking combined with re-looking and re-thinking of existing processes. His research interests span over multiple domains including psychology, computer science and radiology. He focuses on innovation though cross disciplinary synergies. He started his journey of understanding in R&D of Ai based technologies and behavioural analysis in 2012 while studying IIT Kharagpur. His research in undergrad led to 3 patents being filed in the space of artificial intelligence-based applications of technology, around which Purple’s product portfolio is based today. Post IIT, Abhishek continued his study in IIM Calcutta where, as the President of Entrepreneurship Cell, he brought his understanding and concepts of business into application and achieved many firsts. Post IIM, Abhishek took up the Pre-Placement Offer from KPMG and worked in multiple sectors and teams and post which in 2017 he with his original team from college founded Purple.

More information about the company can be accessed at following websites: https://purpletech.in/ https://aladaee.com/ https://whymix.com/

Purple has developed an AI system capable of detecting Ground-Glass-Opacification and Pleural Effusion in the outer walls of the lung from chest CT Scan images. Once patient's Chest CT Scan is uploaded into our cloud servers the images are processed and classified into Low, Medium or High 28

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TECHWORKS LAB Introduction

Reliable service delivery

TechWorksLab is a provider of IT consulting and software development services. Having started as a small AI product-based company, now we have added IT services to our offerings and ever since we have helped non-IT organizations and software product companies improve business performance and quickly win new customers.

We have built up expertise in CRM, Enterprise Resource and Process Management, Ecommerce, Data Analytics, Information Security, LMS and other areas and conquered such innovative fields as Artificial Intelligence and Machine Learning, Big Data, Internet of Things, Computer Vision, and Augmented and Virtual Reality. Our Learning Management System is a software application for the administration, documentation, tracking, reporting, automation and delivery of educational courses, training programs, or learning and development programs.

We work with you to design solutions specifically for your needs. With everything we do, we strive to bring measurable value to our clients. This means excellent code, elegant solutions, and business-friendly processes. Having a strong product development experience, we provide a wide range of services for our global clients from various industries.

We guarantee that no incident influences our ability to operate. For that, we set up a proven information security strategy and management system and established 24/7 inhouse security monitoring. Our infrastructure is cloudbased, and we are ready for remote work.

Why our Customers Choose Us? Predictable performance and quality We follow a corporate quality management system.

According to it, we set up risk management practices on corporate, account, and project levels, and host the Project Management Office, which oversees all corporate processes.

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Fast development time We established a set of management and technology practices that allows us to follow an iterative approach to development, resorting to Agile project management practices, and relying on cloud-native architectures and modern approaches to infrastructure management.

Our Services Invent, build, integrate, scale and upgrade your applications with us. Fully in the art and science of software engineering and management, we help you to build high-quality software solutions and products as well as deliver a wide range of related professional services.

Software Consulting A holistic set of consulting services for both new and ongoing software development projects – from ideation and feasibility study to implementation strategy.

Custom software development Development of web, cloud, mobile, and desktop software solutions to address the unique complex needs or objectives of your business.

Software product development FEBRUARY 2021 SwiftNLift

PAWAN RAMA MALI Managing Director Development of single- / multi-tenant SaaS, mobile and desktop applications for marketing and distributing to mass enterprise/consumer users.

Software development outsourcing

computing. Interns will work on a range of projects that ideally align with their interests, be it AI specific silicon, building machine learning algorithms, working on large scale Artificial Intelligence system deployments or something in between.

Shouldering complete software development project We are seeking interns who are passionate about working pipeline or its part of mid and large enterprises to support on cutting edge solutions in deep learning, machine their business growth. learning, and AI in one or more of the following areas: Computer vision, object detection and localization, speech Enterprise application services recognition, natural language processing, recommendation A broad set of services – Help Desk & Support, cloud systems, forecasting, and multimodal learning. We are also migration, legacy reengineering, and more – to keep your seeking interns with strong interest in advancing the future of computing by working on cutting-edge accelerated business-critical applications healthy and stable. hardware, software and distributed systems. Competition for graduate and entry-level job openings has never been Development team augmentation More than 200 IT specialists to help you handle the lack of higher. To get your résumé/CV noticed you need to stand out from the crowd, that’s where our Training Internship your internal resources and capabilities.

Program comes in. We’ll provide you with an internship in artificial intelligence, allowing you to gain the professional skills and experience needed to advance your career.

Training & Internship in Artificial You’ll be given important projects that will bolster your Intelligence professional portfolio. Also, you won’t be in this alone, you We offer below training programs which provide you with will be fully supported by your internship coach who will learning and internship experience. provide advice and guidance to you whenever needed.

Artificial Intelligence internships offers candidates the unique experience that combines cutting edge research with commercial technology development. We apply research across the entire Artificial Intelligence stack to solve real world problems that require new paradigms of FEBRUARY 2021 SwiftNLift

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NEURONOIDS PRIVATE LIMITED Neuronoid's automated machine learning platform empowers users to quickly and easily build highly accurate predictive models with full transparency— and within minutes. Neuronoids have deep roots into developing custom algorithms on the need basis and building complete processing pipeline end to end. We offer services in the areas of Machine Learning, Computer Vision, Natural Language Processing and Text Analytics.

The team involved has vast experience in driving an idea from an imagination to reality. We also provide services in accelerating the algorithms both by researching alternatives in computational and functional space. We provide the custom libraries on demand basis so that the clients can use the libraries to build their processing pipe lines.

Our Mission Providing latest technology access in Machine Learning, computer vision and data analytics space to our customers with timely execution and reasonable cost by engaging them closely and making our clients excel in their business and exceeding their expectation by building more customized solution for them.

Our Vision To increase the reach and access of result-oriented Insights, by reducing the research and investigating time of machine 32

learning seekers, by building unified frame works and platforms to become leader and trusted solution provider in the technology of moulding intelligence and efficiency into the system.

We do research or implement the algorithms as per the need of the pipe line designed. This includes rigorous analysis and testing of the algorithms to be put for use.

We implement the pipeline fitting into common frame work in an integrated fashion. We help our customers to build the pipeline with minimal data move operations and computationally efficiency. We implement the pipeline fitting into common frame work in an integrated fashion.

In this phase we build data structures and proper data flow over the pipe line converged along with the algorithms. It is to run in initialization, execute and exit stages.

We encourage our clients to come up with their needs.

We take up the responsibility in building the pipe line and scoping out the effort and realization possibilities.

This kind of description and the purpose described is enough for our teams to enhance the idea considering the feasibility study. The pipeline architecture is about proposing a pipeline of the processing to make the idea realized. The pipe line Architecture involves the following phases. Input read →Feature computation →detect the object →Classify the object →update the count. Most of the computationally intensive tasks are required to be ported on to some kind of parallel architecture. We do port pipeline built over any hardware platforms based on the need.

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PAWAN RAMA MALI Managing Director Services Natural language processing (NLP)

Machine Learning Machine Learning is a part of Artificial Intelligence. It builds algorithms that allow computers to learn how to perform tasks from data instead of requiring a programmer to write code for those tasks. Machine Learning does this by generalizing from examples and it is a more costeffective and faster approach when Big Data is involved.

We help our customers in bridging the gap between human communication and digital data, and engage their customers in more meaningful ways. We offer language processing services, by blending linguistic knowledge and AI skills. Fully extensible knowledge graph and custom integration needs Deep Learning Data Analytics Neuronoids turns technology into business outcomes by delivering Information management, business intelligence and analytic solutions under one umbrella. We collaborate with our clients in building their proprietary solution for their hidden data.

Computer Vision

To maximize your data science potential, it is necessary to determine whether your data science capabilities are appropriate to make a significant business impact. We do offer the Annotation services, Building Deep Learning models, Compression of the complex models while working closely with our clients.

Turnkey Solutions

Turnkey is a product or service that is designed, supplied, Computer Vision (CV) is a field devoted for analysing, built, or installed fully complete and ready to operate. modifying, and detailed level understanding of images. We enable the companies with the vision technology reducing their time to market with our expertise in realizing the algorithms.

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Autonomous Driving: An Integral Part of Machine Learning Algorithms Machine learning algorithms are now used extensively to find solutions to different challenges ranging from financial market predictions to selfdriving cars. With the integration of sensor data processing in a centralized electronic control unit (ECU) in a car, it is imperative to increase the use of machine learning to perform new tasks. Potential applications include driving scenario classification or driver condition evaluation via data fusion from different internal and external sensors – such as cameras, radars, lidar or the Internet of Things.

Autonomous vehicles are starting to become a real possibility in some parts of industry. Agriculture, transportation and military are some of the examples.

The day when we are going to see autonomous 34

vehicles in everyday life for the regular consumer is quickly approaching. Many of the operations that vehicles have to perform are based on sensor information and some AI algorithms. Vehicles need to collect data, plan their trajectory and execute the trajectory. These tasks, especially the last two require non-traditional programming approaches and rely on machine learning techniques, which are part of AI. There are many tasks for autonomous vehicles that are still presenting significant challenges and require sophisticated approaches. Replacing the cognitive and motor abilities of a human is not easy and will continue to be work in progress for years to come.

There are different tasks that AI needs to solve so FEBRUARY 2021 SwiftNLift

classification, regression and dimension reduction The applications running a car’s infotainment system or anomaly detection. can receive information from sensor data fusion Unsupervised algorithms try to make sense of the systems and have, for example, the ability to direct available data. That means an algorithm develops a the vehicle to a hospital if it senses that something is relationship within the available data set to identify wrong with the driver. This machine learning-based patterns, or divides the data set into subgroups application can also incorporate the driver’s gesture based on the level of similarity between them. and speech recognition, and language translation. Unsupervised algorithms can be largely sub¬The algorithms can be classified as a supervised classified into clustering and association rule algorithm and an unsupervised algorithm. The learning. difference between the two is how they learn.

There is now another set of machines learning that we achieve reliable and safe autonomous drive.

Supervised algorithms learn using a training data¬set, and keep on learning until they reach the desired level of confidence (minimization of probability error). They can be sub¬-classified into FEBRUARY 2021 SwiftNLift

algorithms called reinforcement algorithms, which fall somewhere between supervised and unsupervised learning. In supervised learning, there is a target label for each training example; in 35

unsupervised learning, there are no labels at all; • Object detection and reinforcement learning has sparse and time- • Object Identification or recognition Object ¬delayed labels – the future rewards. classification Based only on those rewards, the agent has to learn to • Object localization and prediction of movement behave in the environment. The goal in reinforcement learning is to develop efficient learning algorithms, Machine learning algorithms can be loosely divided as well as to understand the algorithm’s merits into four categories: regression algorithms, pattern and limitations. Reinforcement learning is of great recognition, cluster algorithms and decision interest because of the large number of practical matrix algorithms. One category of machine applications that it can potentially address, ranging learning algorithms can be used to execute two or from problems in artificial intelligence to operations more different sub¬tasks. For example, regression research or control engineering – all relevant for algorithms can be used for object detection as well developing a self¬-driving car. This can be classified as for object localization or prediction of movement.

The purpose of this two-part series is to illustrate as direct learning and indirect learning.

One of the main tasks of any machine learning the AI applications that make autonomous algorithm in the self¬-driving car is continuous vehicles a reality, presenting their challenges and rendering of the surrounding environment and the accomplishments. The nature of AI, compared to prediction of possible changes to those surroundings. traditional software, is also explored and the specific These tasks are mainly divided into four sub-¬tasks: challenges for developing, testing and deploying AI technologies in the autonomous vehicle arena is 36

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further discussed in Part 2.

Analysis of AI in the Autonomous Vehicle The autonomous vehicle segment is the fastest growing segment in the automotive industry. Artificial Intelligence is indeed the most important and sophisticated component of self-driving vehicles The number of sensors with real time data and the need for intelligent processing of the data can be overwhelming. AI is used in the central unit as well as in the multiple electronic control units (ECU) of the modern automobile.

Since AI has been used in many areas, including robotics this is a natural fit of the technology which promises to master autonomy. The promise of the technology is that AI and perception technologies will provide a safer and more deterministic behaviour which will lead to benefits such as fuel efficiency, comfort and convenience

AI Applications in Vehicles 2.1. Sensor Data Processing There are numerous sensors providing data for the central computer of the vehicle during operation. Sensors provide information for the road, other vehicles on the road as well as any other impediments that can be noticed similarly to how a human can perceive them (Khayyam et al., 2019). Some of these sensors can provide better perception than the average human, but for this to happen we need smart algorithms that can make sense of the data streams generated in real time.

One of the main tasks is to detect and identify objects ahead and around the vehicle. Artificial neural networks (ANN) are the algorithms typically used for this task. Another term for this field is deep learning, because a neural network contains many layers that contain many nodes.

2.2. Path Planning Path planning is important in order to optimize the trajectory of the vehicle and to lead to better traffic patterns. This can help reduce delays and avoid congestion on the road. Planning is a very suitable task for artificial intelligence algorithms. It is a dynamic task that can take into consideration a lot of factors and can solve an optimization problem while executing the path. The following definition of path planning is given:” path planning for AVs enables self-driving vehicles to find the safest, most convenient, and most economically beneficial routes from point A to point B by using the previous driving experiences which help the AI agent make much more accurate decisions in the future” FEBRUARY 2021 SwiftNLift

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MARKTINE TECHNOLOGY SOLUTIONS PRIVATE LIMITED We are a decision science organization assisting clients Develop In-House Capability to leverage their under-utilized data in making complex We understand the gaps present in the client's premises and business decisions successfully. We comprise of Data help develop those capabilities in-house.

Enthusiasts (engineers, scientists visualizers), Business Consultants, and Sales Managers with a core focus to address your business growth via data.

Why Choose Marktine?

The most unique aspect of Data would be containing unique problems/opportunities even for organizations in the same sector. Since Marktine’s inception, we have worked with several sectors across Industries. We are still growing and consistently striving to improve to deliver world-class Data Assessment & Management Services. We do not follow a complex process rather strive to make complex data terminologies as simple as possible for our clients. From the team’s perspective, we adhere to complete industry standards following proper work-life balance among employees and provide the knowledge space for improvement. We encourage team building and follow a culture of innovation, transparency, and integrity. We are always open for the right enthusiasts to join our team.

Value Proposition Develop Professional Standards We adhere to build strong client engagement with the utmost obligation to be precise, transparent and ethical

We assist organizations comprising of any strength ranging from start-ups to multi-national organizations. Our scoping ranges from assisting organizations that have/ not have data science capabilities. We have worked and developed effective and efficient AI models to benefit several key industries and sectors.

We enable management of organizations get access to efficient and accurate metrics to make informed decisions.

We have expertise in using complete BI infrastructure like visualisation framework tools, QA Processes, performance optimisation etc. We also enable partnership with top industry BI vendors to help you choose feature specific solutions as per organisational need.

The key advantage Marktine has above other solutions provides is out knack for business domain expertise. With business consultants across sectors present in our team, we can assure you a robust BI planning strategy to focus on Key performance Indicators (KPI’s) to focus of Short, Median and Long-term plans.

Marktine understands the client's demands and helps develop in-house AI/ML capabilities to capture core business opportunities/ shortcomings. We also supplement Flexibility as per demand We align our experience with the client's demands and existing organizations to their existing AI/ML subfields such as Natural language processing. follow a flexible approach for better communication 38

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ALOK SHARMA Co-Founder Chief Growth Officer What is the science of data?

Now-a-Days every sector of any strength is applying BI solutions to manage their data and apply iBI Solutions to Data as a fuel has taken centre stage to make a definite various cases. We assist your organisation develop intransformation in the company’s digital infrastructure. house BI capabilities to assist management taking businessLeading Data Science terminology consists of a gamut of oriented decisions. Decision can range from Marketing AI/ML algorithms and technologies that foresight you to Budget Assessment, Risk Mitigation, performance deliver better data decisions. optimisation, Employee Assessment, and many more. We The major advantages of leveraging data science technologies also assist in developing and implementing data warehouse are better decision making, improve customer outreach capabilities and create a single data repository. and sales, better churn prediction and retention, reduced The power of data is being felt across every industry to monetary leakages. We at Marktine focus on developing visualize and predict future growth outcomes. From strong, robust Data Science technologies among its clients improving the delivery supply chain infrastructure to speed and assist them in getting ahead of their competition. and strengthen customer interaction, data analytics is being used everywhere.

Our Offerings

By leveraging our multiple years of Analytics expertise, to Unstructured and raw data has the potential to help make your exiting/ non-existing data team and infrastructure, we potential business decisions that can result into profitable at Marktine work on your existing historical, unstructured, ventures. For the same, you require enterprise level BI and unused data to perform data analysis and bring Solutions. The biggest challenge faced by organisations actionable insights to the management. to implement BI solutions include – data collection, integration etc. We at Marktine assist you in overcoming these challenges. The best BI Solutions is about delivering precise information at right time.

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FLUIDAI PRIVATE LIMITED Fluid AI is an AI-first company in the digital-first world, we believe the power of artificial intelligence can be harnessed to change the way we live and work, for the better. And for that, we work round the clock to build the most innovative solutions possible through our shared commitment to AI, that is constantly redefining what is possible. Fluid AI believes that the power of Artificial Intelligence can be used across industries, sectors and use cases. Our team is working hard to bring about a future where our solutions redefine the landscape of what is possible using AI

negative, neutral but also on feelings and emotions like angry, happy, sad and even on intentions like interested vs not interested.

Fluid AI Artificial Intelligence Platform for Data Quality enables you to cleanse unstructured data and monitor quality discrepancies on an ongoing basis, helping to turn your data into trusted information. The solution offers end-to-end data cleansing and correction across all your system silos with precision and utmost security, enabling you to cleanse, dedupe, standardize and match data; and maintain data lineage. The Data Cleansing Platform provides an entire ecosystem to track data – Right from data extraction to provide a detailed analysis and display key performance indicators (KPI)

Structured data and insights flow into your visualization dashboards for historical and predictive analytics.

Decode AI breaks sentences and phrases, using text deconstruction and NLP to evaluate semantics, syntax and context.

Artificial intelligence is not just one service or Analyse mechanism. AI is applied in many forms, from intuitive Perform sentiment analysis, categorization, named bots that self-learn, through to intelligent tools that entity recognition, theme extraction, intention detection transform data insights into powerful business solutions. and summarization.

By talking with businesses and listening to their needs, we build AI based products and platforms that turn problems into a business’ best asset.

Report

Fluid AI experts not only focus on polarities like positive, 40

AI-powered Digital Reception Fluid AI Digital Reception for a complete touch-free front desk experience in your office and stores.

Computer Vision and Face Detection Powered with superior Computer Vision and Face Detection, the digital reception can easily recognize employees and visitors even with their COVID-Masks.

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ABHINAV AGGARWAL Co-Founder and CEO Monitor and Track Number of People in Office

AI agents that talks, understand and interacts with your customers

The Avatar can monitor and track the number of people with- in the office premises, and raise an alert when the Handle Inbound Calls limit is nearly full.

AI Voice agent to handle incoming calls, right from lead qualification to addressing customer queries.

Contactless In-Store and Branch Kiosk AI Avatar made available on a kiosk form factor with 24 Outbound Lead Generation X 7 availability to run people-less retail stores and bank Voice calling to generate and qualify leads in minutes branches. after they've contacted on your website or App. Voice and Gesture Enabled for Touch-less Experience Renewal and Payment Reminders Complete with Voice and Gesture control, customers can easily operate kiosks with zero human contact, Avatars Automatically remind customers to make credit card or EMI payments, renew insurance policies, or reorder are smart enough to make two-way conversations essentials Faster, Better and Smarter Service Automate Customer Survey Avatars are trained to serve your customers faster and smarter, helping them navigate through menus, answer Automate customer feedback, gather product review, FAQ's, complete quick service tasks or up-sell products conduct market research or measure satisfaction with voice sentiment analytics.

Automated AI-Voice Calling and Contact Centre Make conversations more productive and engaging with FEBRUARY 2021 SwiftNLift

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SPOCTO SOLUTIONS PRIVATE LIMITED Introduction A Big Data Analytics Company focused on ‘Individual Consumer’ Data driven Insights’ on mass scale to significantly enhance effectiveness of business and marketing actions. We provide unique tailored solutions to each client as compared to offering a standard package Our proprietary algorithms apply machine learning to multiple digital touch-points of 380+ million individual personae sourced from 52+ data sources, and continually curate them to keep it “LIVE”. Thereon, we use trademarked predictive artificial intelligence to draw insights and provide specific recommendations.

These unique capabilities allow us to enrich persona data from public domain with not only demographic, but also behavioural & psychographic information on a hyper-personalized scale.

grow their businesses with our tailored data solutions.

With the highly specific persona data, businesses can laser target their consumers by increasing consumer engagement, improvised customer experience and customer retention. Using proprietary ontology & algorithms, Spocto creates innovative applications to suit the specific needs of every business.

Mission & Vision Mission: By marrying the art & science of marketing to technology, we bring the best of both worlds on one common platform.

Vision: To become a credible consumer analytics platform for B2C Organization in developing world by enabling them to unlock incredible possibilities in We at Spocto are a Big Data Analytics company that offering technology enabled experiential products to transforms consumer data into actionable intelligence their customers to help businesses know their consumers better. Using Journey of “One” To become a credible consumer machine learning we provide psychographic data analytics platform for B2C Organization in developing that offers meaningful insights into the “why” of the world by enabling them to unlock incredible possibilities consumer behaviour, psychology and buying patterns. in offering technology enabled experiential products to ML helps us in collecting, analysing and understanding their customers a vast quantity of data augmentation towards identifying potential problems and deriving faster solutions.

We use 850+ data sources along with our trademarked Data Augmentation predictive artificial intelligence that help us enrich 400+ Integration with 850+ publicly available digital data million persona and derive highly accurate Behavioural sources, that allows us to enrich data from single string and psychographic information on a highly personalized to multi-dimensional real world live data. scale. We help businesses strategize, tap, strengthen and 42

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SUMEET SRIVASTAVA Founder & CEO Uniqueness

structured platforms is cleaned, curated and connected to give meaningful actionable insights empowering Spocto creates Individual Persona based on augmented organizations with data intelligence that enable SMART data which is far sharper than normal demographic decision making possible. data driven insights The persona data is curated continually so our recommendations and leads are always Live and current! Be it a new product launch, selling, cross Simple selling, upselling or down selling, you can optimize Spocto works on plug and play model and does not your conversions with our insightful and actionable seek any integration or modification in existing client data intelligence! eco system. It is customized to work with any kind of IT & Business infrastructure available. It also does not require any consumer interaction

How We Do It We leverage the power of classic OCEAN (Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism) traits with our trademarked start of the art predictive artificial intelligence to emulate consumer behaviour and personality traits. We use 2000+ algorithms to vet the data to enable organizations reach accurate decisions. Billions of data collected from multi FEBRUARY 2021 SwiftNLift

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UPVOTE CONSULTING SERVICES Introduction

as well as Open-Source platforms to deliver solutions. Upvote delivers both, on-premise or Upvote Consulting Services Pvt Ltd is a global in-cloud solutions and is geared up to provide software development and consulting company complete solution lifecycle support through wellspecialized in delivering outsourced business established delivery methodologies. solutions that requires in-depth technical knowhow, process proficiency and domain expertise. We apply Design Thinking principles to solve Upvote was formed with the vision of delivering customer's complex business problems through state of art solution using the best-in class solutions that are optimized for performance, technology amalgamated with latest framework cost, accessibility and ease of use. Upvote helps and adoption of industry standards. Upvote customers to implement IT solutions to execute greatest strength and asset is skill with mix-n- their business strategy. We follow proven project match of industry specialist and people with strong management methodologies such as DevOps, technical acumen who are specialized in delivering Agile/Scrum. We ensure timely implementation maximum business value for enterprises around through close interaction with all stakeholders. the globe.

We provide managed services for business Our mission is to simplify technology decisions of applications within customers IT ecosystem. This includes upgrading / migrating to latest versions individuals of solutions / platforms / technologies. We provide Our solution delivery approach combines aspects training services for individuals and corporates on of onshore, offshore and nearshore models OEM / Open-source technologies / Platforms. providing our clients with the highest quality projects at significantly reduced costs. The key value proposition of Upvote stems from the fact that we Services are always looking at unique ways and geared to use "accelerators" indigenously developed to address Data Engineering information and process related challenges for our Our data engineers can stitch disparate data customers. sources and build a 360 data view to enable high Upvote specializes in in both COTS enterprise end analytics which can help the organizations software platforms available through our partners understand key behaviours of their customer's 44

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products and processes. Our experts in the field of data science can help decode your complex business problems, devise a "Analytics strategy", and provide you end to end solution. We will help you in defining what data to capture, how to analyse and draw actionable conclusions from it. Our data experts will provide you end to end data management, data governance and data engineering solutions. We have experience in providing solutions on premise as well as on cloud. Our data engineers can stitch disparate data sources and build a 360 data view to enable high end analytics which can help the organizations understand key behaviours of their customer's products and processes. We expertise in data governance framework. We have robust data quality checks which is deployed at all the stages right from the source data to processed data.

users and developers with drag and drop ease, enabling them to create functional prototypes and iterate toward their next great application at scale.

Our experts in the field of Application Development can help decode your complex business problems, devise an "Analytics strategy", and provide you end to end solution. We will help you in defining what data to capture, how to analyse and draw actionable conclusions from it.

Digital Automation Digital Automation has wide functionality, ranging from automating processes using Robotic Process Automation to using machine learning for intelligent decision-making.

Our dedicated consulting services help you accelerate your Digital Automation journey by leveraging technologies like BPM, Low-code, RPA It will help the organizations gather quality data and Analytics/AI (Machine learning) to improve and thereby enable quality insights from data. Our user experience and drive operational efficiency. engineers have expertise on most of the database UCS has delivered more than 100 projects in the technology like Teradata, MS SQL Server, Hadoop, Digital Automation space.

No SQL Database like Mongo DB to name a few.

Our engineers have expertise on cloud platforms like AWS and Azure.

Low-Code Development Low-Code makes exploring and integrating next generation technologies accessible for business FEBRUARY 2021 SwiftNLift

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MEDICAL DIAGNOSIS WITH THE HELP OF MACHINE LEARNING Machine learning is simply making healthcare smarter. This powerful subset of artificial intelligence may be familiar to many in use cases such as speech recognition used by voice assistants and in creating personalized online shopping experiences through its ability to learn associations. However, machine learning has demonstrated truly life-impacting potential in healthcare – particularly in the area of medical diagnosis.

data is not easy to collect, share and distribute.

Furthermore, there are challenges with the format and quality of data which usually require significant effort to clean and prepare for machine learning analyses.

As machine learning and data science are starting to be adopted as a tool in healthcare applications, the industry is slowly pushing the boundaries on what it can do. Its primary function will most likely involve data analysis based on the fact that each patient generates large volumes of health data such as X-ray results, vaccinations, blood samples, vital signs, DNA sequences, current medications, other past medical history and much more.

There are several obstacles impeding faster integration of machine learning in healthcare today.

One of the biggest challenges is the ability to obtain patient data sets which have the necessary size and quality of samples needed to train state-of-theart machine learning models. Since patient data is These are some examples of types of data that could protected by strict privacy and security rules, the be useful to make an accurate medical diagnosis 46

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using machine learning: Disease data: Physiological measurements and information about known diseases or symptoms that an individual has experienced.

Environmental data: Information about an individual’s environmental exposures, such as smoking, sunbathing, weather conditions, etc.

Genetic data: All or key parts of the DNA sequence of an individual.

using medical imaging data or data from other kinds of sensors. The explosion of results in these areas is, in large part, ascribed to the creation of data sets (e.g., these ones) that are far larger than those that were previously available. A common approach to annotate a data set (e.g., label whether an x-ray contains a tumour) is to have a set of clinicians give their opinion and to collate the responses.

 We rely on visually identifying patterns. The alternative to an automated diagnosis system would be to have an expert clinician look at your Benefits data (perhaps discuss it with some fellow experts) Some benefits of leveraging machine learning in to determine the outcome. This point captures medicine are the following: why deep learning should be successful in this area: deep learning automates the entire process • Find Risk Factors of extracting patterns and learning relationships in this kind of ‘unstructured’ data. There are many Discover which variables are more associated with non-medical applications of deep learning (e.g., the risk of suffering a disease. face recognition) that have similar requirements; • Increase Diagnosis Efficiency because of this, the tech is quite mature. Indeed, even models trained on medical images are now Diagnose diseases earlier and more accurately. being open sourced.

• Reduce Unnecessary Hospital Visits Schedule hospital visits only when patient care is needed.

Diagnosis via machine learning works when the condition can be reduced to a classification task on physiological data, in areas where we currently rely on the clinician to be able to visually identify patterns that indicate the presence or type of the condition.

To break this down into details:  Classification. The results are areas of medical diagnosis that can be reduced to a classification problem: given some data, diagnosis can be reduced to the problem of mapping that data to one of N different outcomes. In some cases, N = 2: the task is just to identify whether the data (e.g., an x-ray) displays the condition or not. Note that there are other problems (e.g., image segmentation) that can be tackled with deep learning, but I haven’t yet seen them used in isolation for diagnosis (as opposed to, say, analysis only).

Applied Machine Learning in Healthcare Machine learning in medicine has recently made headlines. Google has developed a machine learning algorithm to help identify cancerous tumours on mammograms. Stanford is using a deep learning algorithm to identify skin cancer. A recent JAMA article reported the results of a deep machinelearning algorithm that was able to diagnose diabetic retinopathy in retinal images. It’s clear that machine learning puts another arrow in the quiver of clinical decision making.

Still, machine learning lends itself to some processes better than others. Algorithms can provide immediate benefit to disciplines with processes that are reproducible or standardized. Also, those with large image datasets, such as radiology, cardiology and pathology, are strong candidates. Machine learning can be trained to look at images, identify abnormalities, and point to areas that need attention, thus improving the accuracy of all these processes.

Long term, machine learning will benefit the family practitioner or internist at the bedside. Machine learning can offer an objective opinion to improve  Physiological data. The results below tend to be efficiency, reliability and accuracy.

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