1. Patrick Schwerdtfeger
In one of the TED conferences, Patrick Schwerdtfeger made a very interesting observation which forms the premise of this whole theory behind Big Data & Analytics. Patrick says, that the human mind is capable of making 10 million observations in 1 minute. Smell, sight etc. Out of which it can make sense of (retain) only 40 observations which it then uses to predict the immediate outcome. For example, on the highway, a seasoned driver would know if the car ahead is likely to take an unexpected swerve and endanger lives; or a coach knows if the tennis player is likely to make a double fault. Intuition? Remarkable as it may sound, but it also means that 99.99% of these observations go unreported, and that’s where machines can trump humans. This is the premise on which machine learning can be theorized, to scientifically predict future outcomes with jaw-dropping accuracy, which makes it even more remarkable and incredible.
Patrick Schwerdtfeger is a leading authority on global business trends including disruptive innovation, ‘big data’ and the social media revolution. He has lectured at numerous academic institutions including Purdue and Stanford Universities, and is the author of the award-winning book Marketing Shortcuts for the Self-Employed (2011, Wiley). Patrick is a regular speaker for Bloomberg TV and has spoken about business trends, technology and digital marketing at hundreds of conferences and business events in dozens of cities around the world.
Catch him live at the NASSCOM Big Data & Analytics Summit. He will be addressing a Masterclass, Monetizing Big Data: Monetizing Big Data: Leveraging Predictive Analytics & Business Intelligence; and in addition, the Closing Keynote on Day 1 (23rd June, Hyderabad) on Will Artificial Intelligence Destroy Us?
2. Viktor Mayer-Schönberger
Viktor Mayer-Schönberger, is Professor of Internet Governance and Regulation at Oxford University (UK). In his words, “There is potentially too much at stake to delegate the issue of control to individuals who are neither aware nor knowledgeable enough about how their data is being used to raise alarm bells and sue data processors.”
The source of value isn’t the huge computing cluster or the smart statistical algorithm, but the data itself. It is only appropriate then, to focus on the ethics of data use. On being asked, what is more important, people`s good intention or good data? He said, good intentions point towards an ethical use of data, which helps protect against unethical data uses, but does not prevent false big data analysis. “Fetishization of data” means, the human temptation to imbue the results of Big Data analysis with more meaning than they deserve, especially suggesting that they tell us why when they only tell us what. This is again a result of human bias towards causality – understanding the world through a sequence of cause and effects.
He has published more than ten books and over a hundred articles, and most recently is the co-author of the international best-seller Big Data, published in twenty language.
Viktor will be at the NASSCOM Big data & Analytics Summit and addressing a Masterclass on, Big Data Business Models: A Deep-Dive to Learn from Successes and Failures. The other big attraction is the Opening Keynote on, Big Data in the Algorithmic Age: A New Perspective on Reality.
Do catch him live at the Summit.
3. Guy Peri
The Chief Data Officer of P&G, Guy Peri, has an interesting anecdote to share. He has been around for a very long time. Back in his university days, he wrote a program in COBOL exactly as per the specs given by the professor, and yet he got a C. On enquiry, he was told that the specs given were deliberately imperfect and could (should?) have been further improved upon. Very early in life, he realised the significance of outcome, which later he would go on to extend to business as well.
His first job at Procter & Gamble, was that of a Laundry Market Analyst. He helped P&G sell a lot more laundry detergent, by gaining a better understanding of how and when people use it. An early foray into the world of Analytics, when it still hadn’t become a buzzword. And, thus he embarked on a remarkable journey.
He has been with P&G for more than 18 years, across the U.S., Europe, Middle East, and Asia spanning a variety of assignments including Marketing, International Sales & Operations, Supply Chain and Global R&D. Guy has led P&G’s Global Business Analytics organization, driven transformation as part of an industry-leading Business Intelligence / Analytics journey. He has also been conferred with many prestigious awards & recognition. A bit of trivia on George – a towering man at 6 feet 6 inches, he is still the “shortest” in his family.
Guy Peri is a Keynote Speaker at the NASSCOM Big Data & Analytics Summit. He will be addressing on, Analyst to Algorithms – Leveraging Advanced Analytics for Competitive Advantage.
4. George John
His Linkedin Profile says, as a kid, George John was overly influenced by Star Trek, which led to a short-lived interest in model rocketry (his eyebrows grew back after the explosion), and so did a lifelong interest in Artificial Intelligence. Applications of data and AI have been the hallmark of his stellar career for more than 25 years; this has got him to the helm in academics at Stanford and the corporate world as well – NASA, Lockheed to name a few.
George is known to wear two hats – tech evangelizer and investor. He spends a substantive amount of his time in talking to technologists, and he avers that it is an enriching experience to sit with them to make them understand the nuances of business, commercial viability and such other. He sees a healthy trend where increasingly, techies are getting to understand business practicalities, which go beyond impassioned love affairs with products.
He has huge confidence in India being able to leverage AI, but he is certain that some of these applications will be different from what is seen in Western nations.
Catch him live at NASSCOM Big Data & Analytics Summit, delivering the Opening Keynote on Day 2 on, Liquid Human and AI Labor in the Next 20 Years. A solid opportunity which you ought NOT to let go!