What Can J.R.R. Tolkien Teach Us About AI Adoption?

Posted by Asheesh Shukla on Wed, Dec 18, 2019

While companies are embracing AI, a recent study shows that their pursuits are driven more by fear of obsolescence than enthusiasm for change. Eighty percent of companies in a recent survey stated that they intend to expand their AI use over the next 12 months, but we also know that 77% of AI projects face challenges with business adoption, and less than 8% of companies have successfully implemented AI at the enterprise level.


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AI & User Experience: As Always, the User Comes First

Posted by Arun Shastri on Mon, Nov 18, 2019

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

While most of us are aware of the importance of user experience, UX goes beyond simply developing a relevant and usable interface for software. UX is a discipline that requires a thorough understanding of users’ needs and the context in which they use technology. Whatever solution you may roll out to users, good UX is about meeting those needs.


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AI & Analytics Consumption: Insights on Demand

Posted by Arun Shastri on Wed, Oct 02, 2019

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

The past few years have seen an explosion of data, and with it, the need to make use of it. Gathering and stitching together internal and external data sources presents one set of challenges, but what about the analysts who struggle to leverage all of this data? How can they keep up with increasing demands for data-driven insights from the entire organization? How can we empower the whole organization to have access to these critical insights? Here’s a hint: AI is part of the solution.


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AI & the Enterprise: The Pursuit of Faster, Cheaper and Better

Posted by Arun Shastri on Wed, Sep 25, 2019

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

The latest wave of AI continues to break across many industries, including retail, self-driving cars, agriculture and manufacturing. While tales of driverless cars are likely to catch your eye, there’s a less newsworthy, but no less important demand for leveraging AI behind the scenes in the workplace. How can non-commercial, enterprise functions improve efficiency and enable better decision-making?


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AI & Clinical Trials: Poised for Disruption

Posted by Arun Shastri on Wed, Sep 11, 2019

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

We always tell our clients to start small with AI. As Pratap Khedkar shared in my first interview, it’s important to start with clear, specific use cases. For some aspects of the business, it may take some time to carefully consider what these specific use cases are and what opportunities AI can create. Clinical trials present no such difficulties. The opportunities to improve efficiencies are numerous and clear, and AI has begun to make an impact. The industry is aware of the inefficiencies that abound in clinical trial design and execution and is eager to solve them.


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