(Machine) Learning to Make Great Decisions

In this session, we will share Fractal’s vision on the next wave of Analytics innovation in the area of Machine and Deep Learning that is now driving the analytics mandate to power every human decision in the enterprise.


Srikanth Velamakanni

Co-Founder, Group Chief Executive & Executive Vice-Chairman – Fractal Analytics

AI landscape: techniques, benefits and impacts

We will review the types and benefits of AI in machine learning and deep learning. How do they work and what can they do differently from traditional analytics or automation techniques?

Key Takeaways:

  • Learn how deep learning differs from machine learning and other forms of AI
  • Understand the difference between supervised, unsupervised and reinforcement learning
  • Learn about the key drivers in recent breakthroughs that has opened new doors to advanced AI deep learning applications


Prashant Warier

Chief Data Scientist – Fractal Analytics

Nudging and Beyond: From Behavioral Economics to Public Policy

In recent years, social scientists have been incorporating surprising empirical findings about human behavior into economic models. These findings offer important insights for thinking about what both the private and public sectors can do in order to be more effective. They also offer valuable suggestions about the appropriate design of effective, low-cost, choice-preserving approaches, including disclosure requirements, default rules, and simplification. A general lesson is that small, inexpensive initiatives can have large and highly beneficial effects. In the United States, many recent practices and reforms reflect an appreciation of this lesson.


Cass Sunstein

Renowned author, Harvard Law Professor and behavioral economist


How AI is Changing the Future

Artificial intelligence, machine learning and deep learning are quickly emerging as the next ‘must have’ capabilities required to build and drive adoption of data-driven decisions. We will discuss the latest trends in AI and how they are changing the world.

Key Takeaways:

  • Learn how AI and deep learning has already changed how we can recognize speech and images as well as play human games
  • Understand the new frontiers of deep learning under development to shape transportation, human-machine communication, healthcare, and video translation
  • Become familiar with the uses of deep learning approaches: image recognition, deep reinforcement learning, and deep unsupervised learning


Li Deng

Chief Scientist of AI – Microsoft