How Smart Pharma Teams Are Laying The Groundwork to Scale AI
You can’t build a next-gen pharma company on a shaky foundation. Here’s what it really takes to get AI-ready and why the backbone of your data systems, not your algorithms, is the place to start.
If your next board meeting has “AI strategy” at the top of the agenda, you’re not alone. Nearly every mid-market pharma leader is pressured to show tangible progress on new digital initiatives. But behind closed doors, many admit the infrastructure just isn’t there yet.
You can’t build a next-gen pharma company on a shaky foundation. Rushing into automation and advanced analytics without unified, trustworthy information can slow you down and even derail your entire strategy.
As Ernie Payne, Conexus Solutions, Inc. Senior Vice President & General Manager of Commercial Services, warns,
“If you don’t get the foundational business principles right, it doesn’t matter who you hire or how smart they are – it’s likely to underperform or fail.”
Here’s what it really takes to get AI-ready and why the backbone of your data systems, not your algorithms, is the place to start.
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