Hall 1: Keynotes & Panels

Challenges we face in implementing AI /Analytics in healthcare
– Use cases where Analytics/AI has been researched successfully
– How do Indian companies and research institutes are working towards AI in Healthcare?

While the last decade has given us giants such as Flipkart, Ola, Inmobi, and MakeMyTrip, the next decade belongs to platform companies built upon the data foundation. In this talk, we reflect upon the last decade, look at the current state, and provide a blueprint to win in the platform ecosystem. We will look beyond medium posts, Coursera classes, and StackOverflow chatter, to ask honest questions and explore what we can learn from stalwarts in China and Silicon Valley – the ones who wrote the textbook on winning with data.

Artificial Intelligence (AI) is today’s most exciting technological frontier. Systems that are capable of simulating intelligent behavior are already being used to combat fraud, help smart speakers answer you back and make it easier to hail a ride-share when you want it. And it is just getting started. In the future, everything from autonomous transportation systems to advanced robotics will be made possible through AI.

With so many exciting possibilities, no industry wants to miss out on AI’s true potential. What this means is that right now is an excellent moment to build AI capabilities and skills at your organisation.

This panel will focus on 3 key areas:

– Problems AI is solving at scale today

– Building data capabilities to leverage the full potential of AI

– Bridging the existential crisis of technology skill gaps

The talk will highlight the need to rethink learning, creating more room to do
innovation and experiments in corporate world. Two interesting stories will be
narrated to bring out the state of affairs currently in industry and academics.
I will draw from my experience, strategy and tactics for continuous learning
and building culture of experimentation –intensive contemplation, going down
the rabbit hold and multiple trails.
Finally, concluding with the _ONE_ skill that’s dwindling and stopping the
experimentation to flourish.

In order to leverage data insights to guide strategic decisions, companies need to build a strong analytics team. Understanding the key traits of an effective predictive analytics professional will help you identify the right people to upskill within your organization. Understanding what motivates your analytics professionals will help you attract them and knowing how best to support your data scientists will help you retain them. By having a better understanding of your data scientists, you’ll be able to attract, groom and grow your analytics team.

AI is gradually gaining a significant position in cybersecurity both on the offensive and
defensive sides. This talk will introduce the applications of AI in cybersecurity defensive strategies
against the continually growing amount of cyber-attacks, data breaches. On the offensive side, the
talk will review possible implementations of AL/ML by adversaries in reconnaissance, infiltration,
and exploitation of vulnerable systems.

Innovation has been the cornerstone of all human evolution. Numerous evidences have been documented about how early humans used inventive approaches to survive in unpredictable environments and made steady progression into culturally advanced ecosystems. Likewise, companies today are faced with unprecedented changes in their business environment owing to volume of data and overwhelming technology disruptions. Surviving and leading in this new business landscape requires companies to continuously re-think and re-design their business models in line with the right leadership (emotional intelligence) and ‘responsible AI’. Through this session, the speaker presents his thought leadership in leveraging organizational capability and cultivate the culture of innovation and collaboration to stay ahead

The proliferation of biological, clinical, medical, regulatory, commercial and customer data as they relate to the pharma, biotechnology and medical devices industries promises to transform how life science companies will research, develop and commercialize products and therapies in future. The explosion in data coupled with AI/ML technology presents an unprecedented opportunity to unlock value through data science and analytics and thereby deliver smarter and more personalized solutions to patients and consumers. This presentation will discuss the need for verticalization of horizontal AI/ML technologies for the life sciences and profile the opportunities for advanced analytics to transform every aspect of the product value chain – R&D, regulatory affairs, safety, medical affairs, sales, marketing and market access.