By Dec 22, 2019 0 A couple years ago I took part in a marketing video where I was recorded answering questions about my career path, interests, and goals. The next day, the videographer offered to show me the footage, so I took him up on it. As I watched myself, I became dismayed. My eyes darted from left to right instead of looking into the camera. And my head did this weird, reflexive sort of mini-nod whenever I said something I felt strongly about.

Deepak: AI applications in the Indian pharma industry has definitely not caught up as much as it has in some other industries like e-commerce or Financial services. With AI there is always a need for scale (as scale allows learning to happen faster) and most of the attempts have hence been consumer or patient facing. In the developed world we do hear about large scale solutions in imaging and diagnosis, in clinical trials and in pipeline success measurement. Specifically, within Abbott we have identified a few focus areas namely forecasting, decision tree applications like attrition prediction, robotic process automation in internal data management processes and in delivering superlative user experience for the salesforce through Maya, our virtual assistant for the sales reps and in recommendation engines in KnowledgeGenie. Deepak: AI has a huge role to play in managed services and backend support.

I'm sitting down on a sofa, talking to what looks like a Facetime with Deepak Chopra on a phone. It's an animated, sometimes realistic, talking head. He asks me how I feel. I end up discussing work stress. For a few minutes, I'm having a little session with a Deepak that doesn't exist. A few weeks later, I'm talking to actual Deepak Chopra on the phone about what I experienced.