Top 10 AI Influencers to Follow in 2022

ISSN 2582-127X

January 2022

Leadership Slogans in the Era of AI Leadership and AI: 10 Effective and Essential Skills You Need

AI INFLUENCERS

to follow in 2022

EDITORIAL A

ll of us are quite familiar with the word influencer these days. Social media platforms are starlight with such people. However, now we also have something called AI influencers.

While humans are probably still many years away from walking among robots on the street, running into them in the gym, or dining next to them in a restaurant, social media is one place where H2R (Human 2 Robot) interaction is evolving at a rapid pace.

The transformative impact of artificial intelligence on our society will have far-reaching economic, legal, political and regulatory implications that we need to be discussing and preparing for.

Determining who is at fault if an autonomous vehicle hurts a pedestrian or how to manage a global autonomous arms race are just a couple of examples of the challenges to be faced. Deep learning continues to produce advanced techniques with widespread applications faster than one can keep up with. Dozens of papers get uploaded to the archive every day, and there are hundreds of scientists and engineers active in the field. On the other hand, there are business experts who are successfully using artificial intelligence. However, both of them have an extensive amount of knowledge when it comes to artificial intelligence. To understand the nooks and cranks of artificial intelligence, the common people like us must follow these experts who can explain to us all the why's and how's.

AI is seen by many as an engine of productivity and economic growth. It can increase the efficiency with which things are done and vastly improve the decision-making process by analyzing large amounts of data. It can also spawn the creation of new products and services, markets, and industries, thereby boosting consumer demand and generating new revenue streams.

However, AI may also have a highly disruptive effect on the economy and society. Some warn that it could lead to the creation of super firms – hubs of wealth and knowledge – that could have detrimental effects on the wider economy. It may also widen the gap between developed and developing countries, and boost the need for workers with certain skills while rendering others redundant; this latter trend could have far-reaching consequences for the labor market. Experts also warn of its potential to increase inequality, push down wages and shrink the tax base. While these concerns remain valid, there is no consensus on whether and to what extent the related risks will materialize. They are not a given, and a carefully designed policy would be able to foster the development of AI while keeping the negative effects in check. The EU has the potential to improve its standing in global competition and direct AI onto a path that benefits its economy and citizens. In order to achieve this, it first needs to agree on a common strategy that would utilize its strengths and enable the pooling of Member States' resources in the most effective way.

Artificial intelligence algorithms are powered by data. As more and more data is collected about every single minute of every person's day, our privacy gets compromised. If businesses and governments decide to make decisions based on the intelligence, they gather about you like China is doing with its social credit system, it could devolve into social oppression. In tough markets like today having AI skills that are developed as a researcher are even more valued to influence the masses. That is when an AI researcher turns into an AI influencer driving key value and success to his respective field and line of work.

Satavisa Pati Content Analyst

January

2022 1357, Ridder Park, Dr. San Jose, CA 95131, USA Tel : +1-408-380-2566 540/6, 3rd Floor, Geetanjali Towers, KPHB, Phase-6, Hyderabad 500072, Telangana, India Tel: +91 40 23055215 Copyright @2021 Analytics Insight. All Rights Reserved.

The content and images used in the publication should not be reproduced of transmitted in any form or by any means without the prior permission of Analytics Insight.

CREDITS Ashish Sukhadeve

Adilin Beatrice

Shivani Muthyala

Editor-in-Chief

Associate Manager

Content Analyst

Arti Chaudhary

Satavisa Pati

Disha Sinha

Content Analyst

Content Analyst

Content Analyst

Aratrika Dutta

Nikita Das

Shruthi Talla

Content Analyst

Marketing Manager

Research Analyst

Amit Kumar

Nagesh Tembhekar

Web Developer

Creative Head

10

18

Mike Romeri

Ankush Sabharwal

Analytics2Go

CoRover

22

28

32

Raj Muppala

Shekhar Gupta

Anoop G Prabhu

HaiX AI

MyAnIML

Vehant Technologies

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Leadership Slogans in the Era of AI

Leadership and AI: 10 Effective and Essential Skills You Need

Goldman Sachs

MyAnIML

Sonia Johnson

Shekhar Gupta

Vice President of Product Management

CEO

As the Vice President of

Shekhar Gupta is the CEO of

Product Management at

MyAnIML. He has been involved

Goldman Sachs, Sonia Johnson builds products and solutions from scratch to the gate. She is a product management leader with 12+ years of

in high technology for the last 25 years, either working for fortune 100 companies or his start-ups. Shekhar had his

experience in creating

own technology companies

compelling services. Prior to

that he has developed

Goldman Sachs, Sonia has been

successfully. He has also been

managing over a dozen

engaged in different sectors

products at Yahoo and Verizon Media. Her domain expertise are New Product Development, Consumer Tech Products, etc. www..goldmansachs.com

AI INFLUENCERS

including the cloud since 2001,

to follow in 2022

AI/ML since 2006, and blockchain since 2011. www.myaniml.com

CoRover

Vehant Technologies

HaiX AI

Ankush Sabharwal

Anoop G Prabhu

Raj Muppala

Analytics2Go Mike Romeri

Founder & CEO

Co-Founder & CTO

Founder & CEO

CEO

Ankush Sabharwal is the

Anoop G Prabhu is the Co-

Raj Muppala is an

Mike Romeri is the CEO of

Founder and CEO of CoRover.

Founder and CTO of Vehant

entrepreneur and an AI

Analytics2Go. Earlier, he Co-

With over 16 years of

Technologies. Since his college

innovation solutions architect.

Founded of OPSRules, a

experience in building SaaS

days, he has had a keen

He has over 18 years of global

company engaged in AI

products, Ankush has created and spearheaded the global winning teams to design scalable and secure enterprise platforms. As a technology

interest in imaging and

experience in playing various

consulting projects with a

computer vision technologies.

senior business and IT

vision to provide unique, highly

During an internship at the IBM Research Labs, Anoop

leadership roles. Raj is the Founder and CEO at HaiX AI. He

sophisticated AI solutions to cater the needs of the supply

leader, Ankush has led many

worked on R&D problems in

start-ups and large MNCs

the multimedia and image

across Asia, North America,

processing space.

and Europe, and has generated

Subsequently, he also worked

multi-million dollars in

on another short stint at

revenue.

Mobileye's Research Centre.

www.corover.ai

www.vehant.com

www.haix.ai

www.analytics2go.com

Hloov

VeriSmart Ai

Facebook

Tesla

has led digital transformation, big data and AI innovation with Fortune 500 companies like Shell and Hitachi.

chain and price optimization sectors. Currently, he is working to deliver easy-touse, powerful AI solutions to all businesses at Analytics2Go.

Suhail Arfath

Saurabh Gupta

Yann LeCun

Andrej Karpathy

Co-Founder

Co-Founder & CEO

VP & Chief AI Scientist

Sr. Director of AI

Suhail Arfath is Co-Founder of Hloov. A technology futurist, business leader, and keynote speaker, Suhail has dedicated his life to empowering the built environment organizations through Business and Digital Transformations.

With an engineering background, he has over 15 years of experience driving innovation and operational excellence through a combination of strategic team leadership, high-performance execution, and go-to-market focus.

Saurabh Gupta is the CoFounder and CEO of VeriSmart Ai, an identity blockchain platform for data management and automation in KYC, Business profiling & risk assessment, built on data intelligence of different institutions. He has gained experience from his last venture as a Co-Founder of getmeashop.com. Saurabh's startup journey began as a solo founder in the automobile sector.

Yann LeCun is the VP and Chief AI Scientist of Facebook.

He is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is also a co-recipient of the Turing Award for his work on deep learning. Yann is best known as the founding father of convolutional neural networks, in particular their early application to optical character recognition.

Andrej Karpathy is the Sr. Director of AI at Tesla where he leads the neural networks/computer vision team of the Autopilot.

Karpathy most recently held a role as a researcher at OpenAI, the artificial intelligence nonprofit backed

by Elon Musk. He has an extensive background in AIrelated fields, having completed a Ph.D at Stanford University in computer vision.

www.hloov.com

www.verismart.ai

www.facebook.com

www.tesla.com

Mike Romeri CEO

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www.analyticsinsight.net

Augmenting a Digital Future with Strong Artificial Intelligence Representation and Tech Innovation

M

ike Romeri worked as a management consultant for almost 25 years with a firm that's now owned by PWC before cofounding OPSRules. OPSRules was engaged in AI consulting projects with a vision to provide unique, highly sophisticated AI solutions to cater to the needs of the supply chain and price optimization sectors. The company took up several projects starting from early stage e-commerce companies to Fortune 500 companies providing them with real-time intelligence for decision making. OPSRules was sold to Accenture in 2016 and since then, Mike put a phenomenal team of data scientists and business veterans together to build Analytics2Go (A2Go). The goal at A2Go is to deliver easy-to-use, powerful AI solutions to all businesses so they can continue to compete with the Amazons of the world.

An AI and Data Pioneer Leading at the Front Mike describes that he has learned throughout his career that change within a company is a very difficult thing to do well and always takes longer than anticipated. He expresses that billions of dollars are wasted every year on platforms, software, training, and more because companies feel the pressure to use data & AI but they don't know how to make AI solutions fit their business nor do they have a plan to assure adoption across their workforce. If their decision makers won't use it, it is worth nothing. One of the biggest barriers to adoption comes from ripping out & replacing existing workflows that were built after years of effort and financial investments.

Workflows that knowledge workers believe are valuable and do not need to be changed. To solve this problem, Mike and his team build AI solutions that are embedded www.analyticsinsight.net

into the existing workflows, which target a specific, recurring business decision and can be measured.

Mike further articulates that the data & AI markets are very confusing where everyone is describing their solutions as using AI when in reality, they do not. But even for those that do, Mike believes that the same basic problems still exist for the vast majority of companies when it comes to using any new technology, AI in particular, which are getting the right solution fit and getting adoption.

He says that the 800 pound gorilla in the room for AI solutions is 'data'. Businesses are almost always shy when it comes to questions like “What data do you have that is relevant to this problem?” or “Is all of your data accessible now?” Many just don't know the answers. Mike clarifies that there will be data 'issues' in nearly all businesses that are embarking on new AI initiatives.

Because of this, A2Go prefers to do a data assessment early on in their engagements and encourages clients to not try to get 'data ready' before they understand the problem they will be solving. In short, businesses should focus on the business need first, not the data they may or may not need.

Overcoming the Misconceptions of How to Acquire AI Capabilities According to Mike, the biggest initial challenge A2Go faced was changing peoples' mindsets on how machine learning and AI can be used in businesses. Many were familiar with things like robotic process automation (RPA) to automate document processing and directing information from point A to B without a human decision-

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“

The most valuable assets any business has are its human capital and its data. The future of AI business solutions lies in combining machine intelligence and human intelligence to make the best decisions.

“

Mike Romeri CEO

www.my.analytics2go.com 12

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maker. In addition, most business leaders were aware of the many prepackaged platforms available in the market that address specific needs but not necessarily the ones each customer has. Early on, it was clear that most business leaders had no idea that there was a better waya way to get AI capabilities embedded into what people already do to improve decision making and see improvements in revenue and operations quickly.

Practicality and Tech Adoption: Must for Leader While talking about the vital attributes of a successful leader, Mike says that practicality is what comes to his mind. He explains that when leaders are evangelizing AI at conferences, in articles, etc, more emphasis should be placed on the practical business uses and practical ways that AI can be deployed. As per Mike, deployment and measuring success are two of the hardest parts. A practical, well-defined use case that can be measured and quickly produce ROI, is where the focus should be.

Mike further mentions that most businesses today know they need to up their game in terms of digital transformation to remain competitive. “Customers tell us this all the time, but most do not know how to start or even understand their own data, in general. We try to frame our customer engagements in practicality- specific to them,” adds Mike.

An Innovative 'Toolbox' for Artificial Intelligence Solutions Mike emphasizes that A2Go builds its solutions based on customer needs. The more customers it works with, the more AI solutions and components it develops. A2Go uses its component 'toolbox' to quickly compose AI solutions as needed. According to Mike, by the term tools, the company means everything from sets of algorithms that it has proven work well on specific workflow decision points, to external data sets it has used to augment a particular supply chain solution, to the hundreds of 'connectors' needed to tie its solutions to ERPs, CRMs, POSs, existing dashboards, internal data sources and more. Every company is a spaghetti bowl of software and workflows, all of it should be considered. Mike further clarifies that no two companies are exactly the same nor do they have the same workflows to make their decisions. After many years of all businesses trying to 'fit' themselves into solutions, it became very clear that solutions must be composed for each customer by taking their existing situation into account. Mike is confident that this doesn't have to take years or millions of dollars. For him, this is really the point—bringing affordable, easy-to-use, and targeted solutions to businesses that can change with the business, not confine the business.

technologies such as AI have created a very dynamic business environment that is difficult to navigate without help,” he mentions. Mike jokes that in today's technology race, business owners are playing the game of frogger by jumping from one technology to the next to stay afloat but he warns that oftentimes they jump too fast because of the fear of missing out. Jumping too fast could mean selecting technology before understanding the business need and what data and AI are needed to solve it... For companies like A2Go, understanding and testing how each new technology best serves customers is its challenge and its expertise. It requires a strong data science team, engineering team and innovative business thinkers to bring the best solutions to customers. A2Go describes their model as 'AI as a Service'. Mike believes that the burden of keeping up with fast-moving technology will move the vast majority of non-tech companies toward a 'service' model for end-to-end data & AI capabilities.

Towards New Horizons with Amazing Plans While talking about future plans, Mike opines that his vision for A2Go is to build large libraries of AI solutions and solution components to bring the power of AI to businesses of all sizes. This vision includes providing very targeted solutions into existing workflows to augment human performance in things such as demand forecasting, supply sensing, dynamic pricing, and more.

Most businesses simply can't afford the price tag or time to rip out entire workflows and replace them. In terms of the AI software industry, Mike believes that the future lies in targeted, high-value AI solutions, or apps, that are built to be easy to use, easy to monitor, and easy to improve when needed.

Words of Wisdom for Aspiring Leaders Mike advises future leaders to focus on customer needs.

First, there are many platforms and solutions out there that don't and can't address every customer's needs—forcing businesses to squeeze their business into multiple solutions. Customers are looking for AI that augments what they already do. Second, “You will quickly learn that even the most amazing AI solution has a small market because very few customers are 'data ready' for it,” he adds. Assume every customer will need help with their data.

Also, for those building AI solution companies, Mike asks the leaders to believe in one certainty—customers “will change”. So, he pushes them to build solutions that can change with a business. Mike also believes that they should keep it fun. He likes to think that A2Go works to give humans many superpowers.

Entrust Business Problems to 'AI as a Service' Mike is always at the forefront of innovation. He believes that technologies which are disruptive and ever-changing will always impact any bottom-line business model by laying a foundation for its future success. “Advancing www.analyticsinsight.net

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Leadership Slogans in the Era of

AI

T

he advent of the steam engine in the 17th century ushered in an era when machines replaced human muscular power. The second machine age, driven by artificial intelligence (AI), has the potential to replace humans in areas where they are superior to all others, such as intellectual capacity. Elon Musk, the CEO of Tesla and SpaceX, has identified artificial intelligence as humanity's greatest existential danger. In addition, the late Stephen Hawking raised concerns that future advances in AI “could mean the end of the human race.” Or, as Yuval Noah Harari, a well-known author, puts it, “AI will create a worthless class” of humans. These concerns stem from groundbreaking discoveries in the field of machine learning, in which technology is augmenting (and even replacing) human intelligence.

Despite these reservations, AI is already used in nearly every sector, business, and even everyday activity. It is already assisting company leaders in automating

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business operations, obtaining insights through advanced data analytics, and interacting with consumers and workers using natural language processing chatbots. The application of artificial intelligence (AI) has aided in the diagnosis, creation of vaccinations, and treatment of the Covid-19 pandemic. As a result, the need of the hour is to improve human skills with the help of these intelligent robots while striving to keep apprehensions at bay. As a result, every organization's CEO will need to learn how to smoothly integrate this “machine” workforce with "human" workers. The following abilities may be useful: Adaptability: In the virtual world of data, the rate of technological innovation is matching the speed of light, and product life is growing shorter by the day.

Smartphones have a relatively short product life cycle of 12 to 24 months. To keep his organization ahead of the curve, a leader must adapt to the rapid speed of change and employ technology.

www.analyticsinsight.net

service delivery, and optimize business processes, innovation must be 'innovated' in this era.

Emotional Intelligence: We now outperform robots in terms of emotions and empathy, even though AI-enabled machines are rapidly catching up. The capacity to control one's emotions and connect with other individuals gives a leader a distinct edge in situations where success relies on influencing others.

Data Vision: Every day, 2.5 quintillion bytes of data are produced, and this number is increasing as the Internet of Things expands (IoT). Machines outperform humans at identifying patterns in data and presenting them in interactive dashboards. To carve out an effective business strategy, vision, and purpose for the organization, leaders must establish a data vision to detect signals from noise in data utilizing dashboards. Mapping, mining, preparation, modeling, analysis, assessment, and implementation of data solutions are all common steps in the process. Given AI's capacity to analyze and calculate far more data than humans, Deep Knowledge Ventures (DKV), a Hong Kong-based venture capital firm, made history in 2017 by appointing the world's first AI robot to its board of directors. DKV has opted to wait for Vital's permission before making any positive investment choices.

Judgment: The significance of anticipating the next market change or creating a fantastic product, as well as making sense of many elements, cannot be overstated for any company leader. Artificial intelligence (AI) is increasingly being used to capture market patterns and forecast upcoming trends. In machine-assisted decisionmaking, however, a leader's judgment becomes even more critical. The AI system beauty. AI, which was employed to judge an international beauty contest, became an embarrassment when it chose the winners exclusively based on skin color. Before deploying the model, a leader must verify that bias-free data is utilized for machine learning and that the findings are fully evaluated.

Keeping an Eye Out for 'Fake' Data: Deep-fake, a subfield of machine learning, uses neural net simulation to produce a 'fake' by applying it to huge data sets. Jordan Peel, an American comedian, utilized cutting-edge AI techniques to produce a false film of Barack Obama criticizing President Donald Trump to illustrate the dangers of AI misuse. One might envision the ramifications of such deception in a culturally varied nation like India, where deep fakes can be exploited to sow discord among religious groups. To avoid any negative consequences, a leader must be aware of such false information.

Innovation: Long-term success of a company has always depended on its ability to innovate. To enhance productivity, engage consumers and workers, improve www.analyticsinsight.net

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Ankush Sabharwal Founder and CEO

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Proudly Leading the Chatbot Sphere with Strategical Innovations and Implementations

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oRover is on a mission to enable users to talk to any systems in the way they talk to an intelligent person, in the language, channel and format of users' choice (AI VideoBot, VoiceBot, ChatBot). Being the Founder and CEO, Ankush is all set to drive the mission and vision of the company.

A Transformational Leader Spearheading Winning Teams With over 16 years of experience in building SaaS products, Ankush has built and spearheaded the global winning teams to design scalable and secure enterprise platforms. As a technology leader, Ankush has led many start-ups and large MNCs across Asia, North America, and Europe, and has generated multi-million-dollars in revenue withpay per use, subscriptions, and license fees. The peak team size Ankush managed/led is 1200 and peak software license fees from one customer is US$5 million per year.

Honouring his technical, business and leadership acumen, many national and international level www.analyticsinsight.net

honors have been awarded to Ankush. He pursued his MS (Software Engineering) from BITS, Pilani, MBA from ICFAI, Executive Management Program from IIM-C, and Entrepreneurship 101 from MIT. Exhibiting Excellence with Human Centric Conversational AI CoRover, the VC backed company, is the brainchild of Ankush. It is the world's first and the highest ROI delivering Human Centric Conversational AI Platform, powered with proprietary cognitive AI framework that is offering managed Chatbot-as-aService(with self-onboarding option) to help enterprises generate revenue, save cost, improve customer experience, and achieve greater operational efficiency. Currently, the innovative and patent-pending platform is being used by over 500 million+ users.

Besides steering business operations, Ankush also oversees the key aspects behind CoRover's success namely customer satisfaction, operational excellence and revenue drivers.

Ankush leads by defining the Strategy and Vision of the company and strongly believes in

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“

If we chose the right problem to solve, most of the other required things (like Team, Funds, Execution) get sorted easily!

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Ankush Sabharwal Founder and CEO

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collaboration, teamwork, and leadership through involvement as the ethos defining success.

Ankush is a Keynote speaker and a panellist in many national and international conferences, and a guest faculty in the top colleges and universities.

Sticking to the Basics to Channelize Success Ankush always goes deep in understanding a given problem. He believes that understanding the problem means 50% win in the battle! He launched the MVP (Minimum Viable Product) to get the real feedback from the real users. Ankush says he tries to stick to the basic as far as possible. He adds that,CoRover used Cos θ (Cosine Theta) for its first product, which he studied in9th standard mathematics.

“Data science is simple, if people consider it so,” implies Ankush.

Data Science at the Forefront of Innovation Ankush opines that innovation happens with a blend of science (Data Science) and art to solve real problems with the available sample data model! According to him, uniqueness of idea and product, execution, team, and funds are the most important things for an innovation.

Promoting Technology to the Unexplored Audience, a Must for Executives Ankush asks future executives to just understand the problems of the audience. “The useful innovation is solving the real problem(s) well, where the solution can be implemented at scale, possibly with the help of technology,” he adds.

Ankush further states that one should not just think of giving improved tech to the people who are already using tech, instead, he requests to give tech to people who are not using tech. The company still has more than 500 million users in India who are away from tech. www.analyticsinsight.net

Leveraging Artificial Intelligence at Any Possible Field Ankush articulates that people need to see the emerging technologies in harmony, but not in isolation. And he stresses that one needs to see how he or she can leverage AI in any possible field.

“While implementing solutions in AI, one should first think of the whole world or to the minimum whole nation. As more users would get more data to help people, it will help to build better algorithms and better products with high accuracy.

Data Flywheel!” adds Ankush.

Towards New Horizons Ankush says that accordign to Markets-andMarkets prediction, the global artificial intelligence (AI) market size will go from US$58.3 billion in 2021 to US$309.6 billion by 2026, at a compound annual growth rate (CAGR) of 39.7% during the forecast period.“The Chatbot market alone is projected to reach USD 102.29 billion by 2026. The company has a huge opportunity!” he adds.

Chatbot is the low hanging fruit of AI, so Ankush quotes, “Let's go ahead and implement Chatbots first.” he adds that using human-centric conversational AI platform (VideoBot, VoiceBot, ChatBot), people should be able to talk to any system as if they are taking to an expert/person.

He demands to let the users to talk in the language of their choice, format of their choice and even channel of their choice. “One should go to people wherever they are, instead of asking them to download the app. This will increase the adoption of any system!” Concludes Ankush.

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Raj Muppala Founder and CEO

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Leading with Perseverance and Giving Life to Explainable AI to amplify Human Intelligence

R

aj Muppala is an entrepreneur and an AI innovation solutions architect. He has over 18 years of global experience in playing various senior business and IT leadership roles. Raj is the Founder and CEO at HaiX AI. He has led digital transformation, big data and AI innovation with Fortune 500 companies like Shell and Hitachi.

A Tech-Savvy Leader and Innovator Talking about providing AI solutions, Raj says, “We all know data is growing fast and we need fast trusted insights to amplify Human Intelligence. Millions of companies lose 40-50% on Social Media and Marketing ad spend and doesn't get trusted insights for Risk, Opportunities, trending sentiment on marketing ads performance and social media data, to stay ahead and grow.”

He also proclaims that most current tools stop at basic data aggregation and provides lots of reports, which isn't enough to find the key insights.

To address this big gap in the market for lack of real-time transparent AI solutions, Raj has founded HaiX AI with the vision to bring trust and transparency with Explainable AI solutions for organizations to stay ahead and grow. Within

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a very short time of eight weeks, Raj has built an innovative AI product called “Alivecore” using cutting-edge NLP, machine learning and deep learning. Explainable AI is known for providing real-time insights such as trending issues, risk, growth indicators and sentiment for a company or a portfolio from vast social media and marketing ads data. It helps companies to stay ahead, mitigate risk, and drive revenue growth. Raj mentions that this product has been very useful for customers during the pandemic to find the key insights and complement their human workforce and help them grow.

Introducing Amazing AI SaaS Products to Stay Ahead of the Curve Raj states that data is growing at an exponential speed and he has seen the gap getting bigger in finding actionable insights on big data. This led him to start HaiX AI to build AI SaaS products for companies to easily use and integrate into their solutions and stay ahead of the curve. Some of HaiX AI's achievements in the tech sphere include bringing the latest AI research to build easy-to-use SaaS AI applications and Explainable AI, and machine learning and NLP to provide insights on unstructured data. The team, including Raj and a part-time AI engineer, built the first pilot within six weeks and since then, the company has been iterating with customers by scaling the products.

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“

Everyone is on the bandwagon to associate with AI. Focus on business-relevant solutions with Explainable AI to bring transparency to people for longer-lasting success.

“

Raj Muppala Founder and CEO

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Facing the Market Challenges with Passion and Determination

customers and develop our product with new features quickly, so they get the value,” he presumes.

Raj shares that after having a very comfortable job for 18 years with Fortune 500 companies, working in a start-up for him needed absolute determination and faith. With any new start-up, many rejections stop founders to move forward.

HaiX AI follows a three-step process to ensure great value to their customers, according to Raj. He adds that the company's first step is to look at the new ways to bring efficiency to the genuine business problems with state-ofthe-art AI, starting from research to application. Then, the second step is to enhance the solution with customers feedback under various use-case scenarios. Lastly, HaiX AI's third step is to ensure that the AI model algorithms are trained ethically so that they bring transparency and hence would be easy to use. To stay ahead with innovation, some of the top AI professors work as AI advisors at HaiX AI in order to bring their latest research to business applications.

Raj recollects the time when he started HaiX AI amid the pandemic, it was challenging. But with the company's clear value proposition of providing real-time actionable insights to the customers got perfectly aligned with the needs of the industry, everything started going well.

According to Raj, another challenge that he faced was to hire the right advisors in the business, as everyone tends to give their advice which is not right. “Releasing the product early and iterating the product is vital to learn from customers, so one can shape the product better and scale,” claims Raj.

Humans and AI: A Powerful Combo Driving Growth

He opines that the hard lessons which he learned during his journey and his business acumen helped him to quickly build from an idea to the commercialization of scalable AI applications. Raj admits that these lessons gave him and his team the confidence to swim through the challenges.

Raj confesses that the increasing adoption of AI with cloud computing can bring efficiencies, grow revenues, improve customer experience, etc. However, in his experience, he understood that humans always come first and he feels that AI should always complement their work with transparency in their outputs. “This way, one will always achieve the best results when humans and AI work together, especially, using Explainable AI solutions will be very much needed for people to use,” adds Raj.

Communicating Value Proposition of Customer Satisfaction

Explainable AI + Customer Satisfaction Attitude: Algorithm to HaiX AI's Success

Raj claims that with so much distrust in AI, using trust and transparency with Explainable AI is vital, along with an innovative mindset and absolute customer satisfaction.

As everyone is on the bandwagon of associating with AI work, Raj articulates that it is vital to look at genuine business problems and see certain unique ways of solving them with transparent solutions. “Keeping great customer satisfaction is very important in bringing value,” mentions Raj.

Raj is driven by a strong passion for Explainable AI as it can bring efficiency to humans to solve some of the complex problems. He points that HaiX AI is a human-first AI company that ensures transparent AI solutions to complement humans. “Innovative Explainable AI technology and an absolute customer satisfaction attitude have both helped the company to stay ahead of the curve and innovate with customers. Explainable AI paves the way to bring more adoption of AI for users,” concludes Raj.

Transparent AI Solutions at the Forefront of Innovation Words of Wisdom for the Future Leaders Raj shares that from day one, HaiX AI always has been customer-focused and given value to them by providing transparent AI solutions. “With this, we attracted great clients who have worked with us in shaping our product to cater for some of the common problems. Unlike other companies, we cater for the individual needs of our

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Raj recommends future leaders stay focused on a bold vision and bring transparent AI solutions to help humans solve complex problems. “One should not be afraid of being disruptive and look at new ways of innovation and always focus on customer satisfaction,” advises Raj.

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Shekhar Gupta CEO

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A Tech-Savvy Leader Shielding the Digital World Against AI Bias

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hekhar Gupta has been involved in high technology for the last 25 years, either working for fortune 100 companies or his start-ups. He had his own technology companies that hehas developed successfully. Shekhar has also been engaged in different sectors including the cloud since 2001, AI/ML since 2006, and blockchain since 2011. On the other hand, he has developed multiple products and networks using these technologies in various industries such as Telecom, Govtech, EdTech, and even AgTech now.

Recently, Shekhar started an animal health company called MyAnIML that uses AI to analyze an animal's face and predict a disease before any symptoms are visibly seen and the animal becomes sick and contagious. “We are using the technology on cows first before going into other livestock and domesticated animals. This has never been done. We developed our own AI process and algorithm to train the system,” says Shekar.

An Inclusive Pioneer with Impressive Background Shekhar Gupta is the CEO of MyAnIML. He believes that technology can solve many challenges he faced. In the early 90s, no one ever actually thought thatFord would become a software company and that the 'Internet of Things' would help a farmer plan their watering needs.Shekhar had many successes and failures in his professional career and has always learnt from both equally. Looking back at his career, he realizes that there www.analyticsinsight.net

have been many times when he was a little too early.

Shekhar, who is in the technology field for so long now knows when to launch what technology. He has also encountered many biases in his career and his life where he managed diverse teams of various sizes and has seen the bias all along his path. Shekhar always strived hard to remove the bias aspect from his team and from his companies to provide an equal opportunity to everyone in order to be successful. In one of Shekhar's other companies that is dedicated to the education tech, he is creating a platform with a good motif so the disadvantaged population gets the same opportunity to excel.

According to Shekhar, AI has been around for some time but lately, it is picking up steam and having issues with its own biases as well.He always knew that someday technology could help in sorting this out, and now that AI has matured enough, he knows it is a good time to start talking about the existing biases in technology. “These biases come from dataset labelling and as long as we have our own biases, we will continue to label the dataset accordingly,” Shekhar remarks.

As part of being an AI innovator and influencer, he is working very hard to convince people to stop using their own biases in labelling datasets and thus creating a biased AI. Overcoming Obstacles by Embracing Technologies Quickly

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Ethical bias is the biggest issue facing AI today but for me, a more alarming factor is the lack of free thinkers and philosophers in this field.

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In the beginning, the most frustrating thing according to Shekhar was the slow technology adoption.Learning to work with diverse teams in the global economy was another challenge for him. Although his background helped to learn and lead a diverse team, he always recollects and wonders about his journey of challenges and how he adapted to the changing technologies quickly.

Attributions of a Promising AI Leader In Shekhar's words, influential leaders' attributes have nothing to do with the titles and he articulates that it is all about gaining the admiration, confidence and trust of those around them. “It comes from the ability to inspire and motivate those around them. Leadership is about how they use their vision to engage with others and rally people. They need to be selfless, honest, empathetic, and always willing to listen and learn,” says Shekhar.

Talking about AI leaders, Shekhar confesses that AI is converting the local economy into a global economy and hence he asks the AI Leaders to actively understand, lead and appreciate new cultures, diverse teams of global remote employees with different backgrounds and knowhow to enter and succeed in new global markets. “AI offers leaders and companies unprecedented opportunities to engage consumers in new and different ways with its massive datasets and amazing processing powers,” he adds.

User Experience as the Driving Force Behind Innovation According to Shekhar, user experience is a must for innovation. He believes that no matter how good the product is, if a user can't use it easily and effectively, no one will want to use it. He advises to figure out the pain points and the emotions in an innovation as there is no better way to connect with anybody or a group of people than by going to solve their pain points, do the customer discovery, do the market research to understand if you have a novel concept or if others are already tackling the issue. “The market always has its advantages. If you can think of something, know that others can as well.

Execution is the key. Learning to use the technology, hiring the correct team to execute are very important in any innovation,” he expresses.

Artificial Intelligence at the Forefront of the Digital World

'Then' sentence. The issue is that many think they know AI or understand it but the truth is, only very few actually do.

Shekhar clarifies that AI has the power to not only bring efficiency to the existing economy but can also overhaul the entire innovation process. It is a very useful tool that makes people rethink how they collect data, integrate and analyse data to gather necessary information, and how it improves decision making. He discusses the current global crisis which has accelerated the adoption of analytics and AI. Shekhar claims that many companies either have found a way to use it or are in the process of finding it. “Artificial intelligence is the main driver behind many emerging technologies like big data, robotics, and IoT and it will continue to act as a technological innovator for the foreseeable future. It is engaged in every aspect of people's lives and every industry segment,” highlights Shekhar.

Talking about the advancements in AI and the contradiction that it will one day replace humans, Shekhar mentions that even though AI is there to augment, improve, and resemble human intelligence, it will never replace humans. It will be a big compliment to the human race. AI will help create better leaders by enhancing their skills, says Shekhar.

Towards New Horizons with Disruptive Tech Initiatives Shekhar states that he runs an AgTech company along with anEdTech company. He believes that the future of AI in both the fields is huge. “AI is impacting every aspect of people's lives and every industry and has a tremendous impact on -AgTech. The agricultural industry is one of the last ones to be acquainted with technology and was resistant to new ideas. But with these advancements in technology the industry is picking up steam as well and AI is helping in various fields,” says Shekhar. He further adds that AI initiatives, however, shouldn't simply be about automation but they should also provide an opportunity to be the catalyst to rethink processes and business models..

Words of Wisdom for Emerging Executives Shekhar opines that every leader must be willing to deal with the ethical guidelines of AI and he asks them to take responsibility for their algorithm. He also advises seeking to preserve and increase trustworthiness by eliminating AI bias. “Even though the term AI has been around for quite some time, there is still much to be done,” he concludes.

Shekhar opines that 'disruptive technologies' is not a buzzword anymore. There are actual use cases that help the human race. AI has become more than just the 'If' – www.analyticsinsight.net

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Anoop G Prabhu Co-Founder, and CTO

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Spearheading Disruptive Technologies to Unravel Futuristic Solutions in the Security and Surveillance Sphere

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ehant Technologies was formed in 2005 as an outcome of incubation from IIT-Delhi. It is the leading company that develops state-of-the-art security screening solutions, smart and safe city solutions and enterprise analytics solutions with their central focus on artificial intelligence/machine learning.

Vehant was cofounded by Anoop Prabhu and Kapil Bardeja with five Professors of Computer Science and Engineering from IIT-D as founding mentors, forming the company's backbone in the academia and industry research group. The main motivation of Vehant is to develop indigenous products and solutions out of India in the areas of computer vision and image processing, especially in security and surveillance.

It was a strategic necessity for the country to have these security products, made in India, so Vehant kick-started its journey by designing an under-vehicle scanning system, which was till then imported in the country. Over the years since its inception, the company has supplied and installed around 1000 units in India and 14 other countries. Vehant also added an AI-based automated number plate reading system, which got morphed into Trafficmon: Traffic enforcement and management system that is now being deployed in almost 42 smart cities across India. In 2015, the firm developed the X-Ray baggage scanner that grabbed 25% of the market share in the last 2 years and got successfully sold to airports as well.

A Pioneer in the Digital Shift Anoop G Prabhu is the Co-Founder and CTO of Vehant Technologies. Since his college days, he has had a keen interest in imaging and computer vision technologies. During an internship at the IBM Research Labs, Anoop worked on R&D problems in the multimedia and image processing

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space. Subsequently, he also worked on another short stint at Mobileye's Research Centre, which is a pioneer in camerabased driver assistance systems in Israel, and this is when Anoop firmed up his interest in building solutions in the imaging and AI technology circle.

Talking about how it all started, i.e., in the early 2000s, Anoop mentions that the future of the global vehicle surveillance market seemed promising with opportunities in the passenger car and commercial vehicle industries where security became more important due to terror attacks, security threats, etc. And so, he states that the demand for high-end technology solutions, growing R&D, changes in the pattern of buying, economic growth, and spreading awareness towards vehicle safety fuelled the market's growth.

In such a case, Vehant identified security as one area which was gaining huge prominence. In 2005, he Co-Founded the company along with Kapil Bardeja (Co-Founder and CEO) to build 'ZenScan', which is the under-vehicle scanning system.

Sailing through Painstaking Challenges to Become a Market Leader According to Anoop, some of the difficulties that he and his teammates faced during the journey were more or less similar to what most of the entrepreneurs face while starting a venue. Apart from these, he mentions that the 'UVSS' was a product that was focussed on the security of the highprofile establishments to which there wasn't a practically established demand for India and Anoop considers this to be one of the initial challenges which he had to tackle.

"Establishing a market for the same was a painstaking process, but it allowed the company to become a market leader in that space,” adds Anoop. Recruiting the key R&D

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The coming decade is going to see a new wave of AIpowered innovations (many unpredictable today), disrupting industry verticals while creating new ones, as AI working with people (while not quite replacing them) forces an evolved, more creative role for humans in many spheres.

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Anoop G Prabhu Co-Founder, and CTO

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talent in the initial days was another big challenge for Anoop and his team when the AI/ML boom was yet to take off.

Championing Changes: The Must-Have Attribute of a Leader Anoop states that businesses across the globe have adopted technologies such as artificial intelligence, blockchain, robotics, the internet of things, big data, augmented reality, and more. Just about every industry and company will change because of these technologies and hence Anoop stresses the need of the leaders to understand and have conversations on taking technology-related decisions. “The ability to understand what tech can do for an organization is essential, and leaders must continuously embrace new platforms and tech tools,” claims Anoop.

According to him, every leader must consider as to which disruptive innovation might influence their value chain and plan to respond to them or figure out whether they should use them in their business or not. Anoop pinpoints that they should understand their capabilities and limits to meet the outside dangers and opportunities of digitization.

He further articulates that business leaders must not only have to evolve quickly in this new and dynamic environment, but they also need to champion change throughout the organization to bridge the gap between old and new businesses and work realities.

'Choosing Right Techniques' as a Secret Mantra to Success Embarking on success and innovation, Anoop says, “In my experience, one key aspect we always try to adhere to has been to choose techniques that lie somewhere in the middle of the wide AI/ML technology spectrum: they give us a good mix of accuracy, performance and superlative value. We have seen this applicable in other areas as well including choice of imaging or computing hardware, UI/UX, etc. Another key advantage of this approach is that these are bound to be more robust than the most sophisticated ones or the latest kid on the block approach. Plus, it's easier to find talent who've worked with these techniques or solutions.

Ultimately, Anoop opines that this approach provides more value to the customer and gives them more bang for the buck. He recounts how Vehant tries to use technology to stay one or two steps ahead of the competition so the company also has its flagship models, where it goes away from this philosophy and chooses more of the shinier, glittery building blocks.

Artificial Intelligence at the Helm of Driving Business Growth Anoop always stands at the forefront of leveraging technologies. While talking about artificial intelligence, he clarifies that AI has offered Vehant many unprecedented opportunities to engage consumers in new and different ways. Today, the company has massive datasets at its fingertips as well as the extraordinary processing power to extract patterns, connections, and meaning from that data to

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get to the intent of consumers.

Anoop notes that AI is the buzzword of today and gets thrown around everywhere. He mentions that any serious solution or product offering today needs to have AI baked in to pass muster from customers, partners and technology experts alike. Having said that, Anoop expresses how experienced practitioners will understand that there are a wide variety of techniques ranging from the simplistic to the latest bleedingedge deep neural networks that can be thrown at any given problem.

Disruptive technologies like artificial intelligence/ big data/ cloud computing, according to Anoop, are likely to play a major role in improving the quality of life of people, global economies, and business models of companies. As technology is evolving at a very fast pace, he says that the advancement is changing the way we work, live, and do business ushering us into the age of information.

Considering bigger developments, Anoop remarks that autonomous vehicles (AVs) have been in development for a while, however, they are expected to bring about several benefits including fewer road accidents, more efficient fuel consumption and reduced traffic congestion. Lastly, he adds that healthcare is also seeing numerous possibilities of integrating AI into its existing systems.

Aiming to Make Vehant a Muti-Crore Company in Future Anoop remarks that Vehant intends to continue its position as a market leader in the UVSS range of products, to grow its market share to around 30% in the X-Ray business, and also to add new X-ray scanning use cases for people and vehicles.

He adds that the company also wishes to expand to the South East Asian region for smart city business, add new use cases on smart city and private AI-based analytics space, and retain a 60% market share in the smart city portfolio. In the long term, Anoop says that Vehant aspires to be an 8001000 crore Indian MNC with a diversified portfolio of Indiamade products in the Security, surveillance and traffic management space across the world.

A Piece of Advice for Budding Leaders Every year, far more Millennials fail than succeed in entrepreneurship. “But if you aren't one of the lucky few, don't lose hope: Failure has transformed from a source of shame into a badge of honour,” says Anoop He opines that they should create jobs of the future, not simply train for them as it will undoubtedly play a greater role in the years ahead. Anoop affirms that they should ask themselves the most important skills needed to succeed in the workforce of the future because what is trendy today may not be the same in the next few years since technology is evolving rapidly.

“One should also keep the communication lines open, and you will set yourself up for more interesting work and a faster career progression in no time. Focus on end goals, and while everyone has favourites, do not be tied to only one technology tool or framework,” concludes Anoop.

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here must be a time when you have written a performance appraisal for someone's review and comments and waited for that person to return from a business trip or vacation to submit their performance review late. Does that feel like torture? If yes, then online performance appraisals are the solution to make your life hassle-free. Discussions about artificial intelligence (AI) and occupations frequently rotate around the redistribution of assignments and abilities as society gets ready for the 58 million new jobs AI will make by 2022 (as per reports). However, artificial intelligence effect rises above manual tasks. The essential, significant abilities of business leaders are all set for change.

In 2021, more creative leaders are getting ready to work alongside artificial intelligence to redefine leadership. With the development of new jobs — some that are as yet getting characterized — pioneers are inclining toward artificial intelligence to pose queries that remained unanswered for years.

Leadership and AI:

10 Effective and Essential Skills You Need

So how artificial intelligence is willing to redefine leadership? Here are two management practices in the path of artificial intelligence disruption: The Organizational Chart Small and big companies and enterprises depend on organizational charts to plan jobs and obligations, fully intent on characterizing jobs and advancing assignment across different lines of business.

Assignments are then scattered to the appropriate department, with the graph filling in as the impetus to discover voids in existing jobs or map jobs successfully across divisions. Organizational charts have additionally been utilized as a tool to direct career advancement.

Digitalization is lessening the worth of organizational charts as devices for seeing how work gets done in an organization. Connections and jobs in current organizations are not as inflexible as the straight lines of an organizational chart would have you accept.

Individuals work cross-practically, with little idea to formal reporting connections. Just like utilizing organizational charts to direct career improvement no longer bodes well for most professionals.

With the ideal information, artificial intelligence can be used to acquire a superior comprehension of how work

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gets done in an organization where the organizational chart no longer means what it once did. Artificial intelligence can outline which workers have the best effect and where skill development is required. Artificial intelligence is likewise proving valuable in assisting workers with recognizing what occupation moves — horizontal, vertical, or something else — are probably going to have the best advantage for their drawn-out professional development.

Staffing Individuals will consistently be the core of any organization's prosperity, as there is no substitution for innovativeness and relational cooperation. But artificial intelligence can assist an organization's people to bring out the best on the tables. In particular, artificial intelligence will reclassify the staffing and recruiting measure by giving the responses to questions, for example, "What skills does this worker need to get to a higher level?" Artificial intelligence can likewise assist pioneers with recognizing when it's better to search for outer ability and when an advancement or inside candidate would be ideal.

Also, artificial intelligence can assist pioneers with entering into new business sectors, as it can illuminate pioneers whether a geographical region's ability and business conditions offer a feasible chance of growth and profit or not.

These equivalent information points assist pioneers to see the best way to staff an area and look at compensations by locale.

Pioneers need to trust artificial intelligence just like they trust their employees. And also understand that artificial intelligence is certainly not an enchantment mixture to fix all issues, and blind trust can make algorithmic inclination or lead to frameworks without the oversight important to guarantee the calculations perform ideally.

In any case, with trust and time, artificial intelligence will have a positive effect. Those pioneers who are available to explore innovations and ready to test new cycles will succeed. Today, the C-suite is transforming into the solution suite. Gone are the days when pioneers could exclusively depend on gut feelings to settle on business choices. From hiring and employee development to succession planning, every aspect of your workforce will be redesigned by artificial intelligence. Pioneers who figure out how to function close by artificial intelligence, utilizing it as a tool to help yet don't supplant conventional administration dynamic, will flourish.

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