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BITCOIN
- THE FUTURE OF GLOBAL CURRENCY?
Story of the Machine Series:
In conversation with
SIMARPREET SINGH & PRITIKA MEHTA Founder, SockSoho -One of The Most Loved Sock Brands
GALILEO TELESCOPE
SCRUM PROJECT ARE YOU JUST MANAGEMENT: AGILE” The“DOING Ideal Agile Practice OR “BEING AGILE” How does
THE FUTURE OF OpenAI’S ROBOT AND WORK
RITAM
Founder of India Film Project,
Talks about growing a community of 7.5 lac filmmakers, writers, storytellers, musicians, photographers, and creators.
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GPT 3
WORK? MEET
CLUBHOUSE
Table of Contents 13 Scrum Project Management: The Ideal Agile Practice Scrum aims at helping the project team to work together, build team spirit, embrace agility, and deliver a quality product in less time. It also allows them to self-organize, collaborate, and assess their failures and successes.
32 How does OpenAI’s GPT 3 work? The GPT 3 can write texts, poems, translate paragraphs, chat, code, design, create answers, and much more. It’s like having a personal writing assistant!
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48 Story of the Machines Series: Unravelling the Mysteries of The Universe, With A Wooden Tube and A Polished Lens It was Galileo who, at the start of the 17th century, gave substance to Copernicus’s heliocentric (planets revolve around the Sun) theory. He helped humanity belie the abstract ideas of our self-centred existence, albeit not necessarily during his lifetime, and unleashed the rather hefty idea that we were not the centre of the universe.
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Culture Shift – An indispensable shift to building an AI-Powered organization
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SockSoho Interview
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Everything You Need to Know About Deep Fake Technology
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Artificial Intelligence’s Ethical Dilemma: A Positive Outlook
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Artificial Intelligence: The Future is Now; How AI is All Around Us
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IFP Interview
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Education Technology Innovations and Their Role in the COVID World
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Bitcoin - The Future of Global Currency?
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Editor
From the
Work-from-home is the new normal, and many organizations are embracing the remote work environment. Managing a team remotely could be challenging. The Scrum project framework allows the team members to self-organize, collaborate, and assess their failures and successes. As you would read further, you would learn about the benefits of the scrum framework, why to choose it, and how to manage scrum frameworks. Artificial Intelligence is all around us, and it seems impossible to imagine our daily chores without technology tools. There are always ethical concerns associated with machine’s capability to think or behave like humans. One of the articles focuses on the positive side of artificial intelligence’s ethical dilemma. As you would read along, you would learn in details about the products of AI like GPT-3, Deep Fake Technology, and innovations in educational sector. In our interview series, we had the tech-founders of a direct-to-consumer sock brand for men. Mr. Simarpreet Singh, a computer science engineer, and TEDx speaker, talks about how he and his partners have been leveraging technology to disrupt fashion. We also spoke with Ritam, founder of the India Film Project (IFP). He talks about his journey that started as a 50-hour filmmaking challenge with 600 participants in 2011 and became the world’s largest filmmaking challenge with 36,000 participants in 2019. We discussed with him the impact of emerging technologies in the filmmaking industry. We bring you the story of the Galileo Telescope, ‘Unravelling the Mysteries of The Universe, With A Wooden Tube and A Polished Lens’ in our ‘Story of Machine’ series. We would appreciate your feedback and are always open to suggestions. Here is your edition. Do read it, enjoy it, and nourish in the knowledge. Happy reading! Thank you Srikant Rawat COO, Techfastly
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BARKHA SHETH
CULTURE SHIFT – An indispensable shift to building an AI-Powered organisation
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An insight-driven organisation - It’s been ten years since this phrase found its way into active business vocabulary, and yet most companies have fallen short of truly being one. Why? ‘Cultural barrier’ might be to blame.
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elping leaders make more informed, effective and intelligent business decisions is the core idea behind analytics. Yet, entrenching data, evaluation, and evidence-based reasoning into the organisation’s decision-making processes has fallen short of mainstream application in a wide variety of cases. In a report published by Deloitte on Becoming a Data-Driven Organisation, surveyors found that “fewer than four in 10 (37 per cent) place their companies in the top two categories of the IDO (Insight Driven Organisation) Maturity Scale, and of those, only 10 per cent fall into the highest category. The remaining 63 per cent were aware of analytics but lacked infrastructure, found themselves still working in silos, or were expanding ad hoc analytics capabilities beyond silos”. Reasons for this vast discrepancy ranged from lack of leadership direction to even a lack of trust in a machine’s interpretation of happenings. This would result in falling back onto traditional working mechanics and failure to expand on AI’s value proposition. In each of these cases, the organisation’s culture has played a significant role in the acceptance and successful implementation of deep data analytics. As most executives eventually realise, embedding AI-based decision making into an organisation involves re-wiring the business at a fundamental level. While the initial work might seem substantial, the rewards are to be leveraged well into the future. Here are some relatively simple ways to help employees become active participants in charting a path towards truly being an Insight Driven Organisation (IDO).
Taking the Leap of Faith and Setting the Tone Analytics is already mainstream. However, most businesses still rely on structured data that fits into rows and columns, missing out on critical insights that are to be gained from product images, customer interaction recordings and social media messaging. Herein lies the argument for adopting technologically advanced AI-driven software that can sift, consolidate and show appropriate recommendation from troves of data. To make the shift, it’s essential organisations give due consideration to these four avenues-
a. b. c.
Data Science is a Team Effort – Traditional working mindsets are often the most significant resistance to the adoption of AI, making it imperative that welcoming datadriven decision-making starts right from the top. Cultivate the Talent- It’s essential to nurture a diverse team that is curious, numerally proficient, and capable of walking the median line between analytics and business requirements. This progressively creates a shift in the right direction.
Go experiential to Data-Driven– Augmenting human decision making with data-driven insights means trusting the algorithm’s suggestions. It also entails building the autonomy to act on those insights without higher-level authority. If every proposal generated by the systems has to be approved, then the purpose gets defeated. 7
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