AI Will Disrupt the Workforce. Does That Make Andrew Yang Right About UBI?

Posted by Arun Shastri on Thu, Aug 01, 2019

A businessman turned politician calls for insurance against job losses in a quickly changing America. His own experience in business pits him against an indifferent Washington, D.C., as he becomes the lone voice of a single issue. Eventually, he decides to run for president. Who is this man? Jacob Coxey.


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AI & Pharma: Start Small But Think Big

Posted by Arun Shastri on Wed, Jul 24, 2019

This blog post is the first in a series on the impact that AI will have on different business aspects of pharma.

AI has been here for many decades, but the buzz around this latest wave of AI is louder than any I can remember. You can find articles about AI in every publication and medium. These articles deal mostly with broad themes, rarely delving into how AI might be applied in our work lives. There are plenty of stories about self-driving cars and the latest human expert to be outwitted by an algorithm. But what about the unsexy business that most of us find ourselves in? How can we apply AI to improve customer interactions, maximize product launches, optimize clinical trial operations, or find patient insights?


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Launching Conversational AI: Six Keys to Success

Posted by Satish Jha on Tue, Jul 16, 2019

Vaibhav Bansal co-wrote this post with Satish Jha 

A witty, ever-reliable butler is a must-have for crime-fighting billionaires — just ask Bruce Wayne. The closest thing that Tony Stark has to a butler is his AI assistant Jarvis, with its alert, intelligent and unaffected responses to Ironman’s perpetual snark.

While we are still years away from creating a chat bot as sophisticated as Jarvis, the recent advancements in NLP, (natural language processing, the technology that powers chat bots,) have been very encouraging. Someday, we believe these AI agents will become so advanced that they allay the common belief that AI can’t be as perceptive or intuitive as humans. Though such a future is a few decades away, conversational AI is already solving countless problems and driving better engagement and experience.


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Intelligent Process Automation: Starting Is Easy, Scaling Is a Different Ball Game

Posted by Vishal Kabra on Thu, May 09, 2019

Satish Jha co-wrote this blog post with Vishal Kabra 

Today, there is no denying that when it comes to increasing efficiency, reducing cost and offering a better customer experience, intelligent process automation (IPA) is a go-to strategy for businesses, and pharma is no exception. IPA promises that it can free up people to do more value-added work and play more strategic roles within their organizations. At a fundamental level, IPA is an emerging set of new technologies that include robotic process automation (RPA), conversational AI and machine learning to mimic activities carried out by humans. With the evolution in IPA technologies and the broad applicability of such automation, IPA continues to be a buzzword in every industry. Given the many benefits and possibilities, it’s understandable why organizations are jumping onto the IPA bandwagon.

However, most organizations aren’t succeeding at scaling intelligent process automation.


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Has AI Reached Peak Hype?

Posted by Arun Shastri on Wed, May 08, 2019

Pratap Khedkar co-wrote this blog post with Arun Shastri.

At The Wall Street Journal Health Forum, held in Washington D.C. on April 30, Novartis Chief Executive Vas Narasimhan called artificial intelligence “another tool in the toolbox.” This viewpoint diverges from recent notions that AI is a critical capability that’s going to change the way that pharma companies do business. In fact, industry experts have hoped that the dwindling return on investments for R&D (the current 3% ROI is predicted to hit 0% by 2020) could be reversed by employing AI-based technologies in drug discovery. There are more than 100 AI startups in this field that have received generous investments from venture capital. Yet, IBM has discontinued sales of its Watson AI system for drug discovery.


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