AI & Real-World Data: A Perfect Union

Posted by Arun Shastri on Mon, Jan 27, 2020

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

Real world data (RWD) is as old as data itself. It was relatively useless, however, until it was digitized. And then once it was digitized, we struggled to analyze so much data at scale with any kind of efficiency.

Enter our ability to store and analyze large volumes of data and advancements in data science, algorithms and technology. With the help of AI, it’s now possible to truly leverage RWD and begin to understand patient populations in holistic ways that have so far eluded pharmaceutical companies. It’s accelerating the use of evidence across healthcare to support the focus on patient health outcomes.


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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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Worried About Automation? 'Human-in-the-Loop' Protocols Offer Comfort and New Opportunities

Posted by Mike Jakymiw on Thu, Oct 31, 2019

Satish Jha co-wrote this post with Mike Jakymiw

Keeping someone “in the loop” means keeping them informed or involved. The term human-in-the-loop (HITL) means involving humans in processes that leverage innovations like AI, robotics and machine-learning algorithms. HITL ensures that a process isn’t run automatically without human supervision. On the surface, this might seem like distrust of automation and AI, but it’s a layer of precaution used to avoid mistakes or misses that AI and robots can easily make. More importantly, HITL will enhance these processes.


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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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