#aistrategy — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aistrategy, aggregated by home.social.
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Sawn
A lawyer, not a data scientist, built an AI system to automate patent analysis at Roche. With Dataiku, 90% of the work done himself. 🤯Completely revamped how his team handles patentability decisions and takes on law firm requests.
Amazed by the ROI from this unexpected source.
Watch on YouTube https://youtube.com/shorts/exnqUHYnwFA
#aistrategy #roche #dataiku #agenticai #patentlaw -
Sawn
A lawyer, not a data scientist, built an AI system to automate patent analysis at Roche. With Dataiku, 90% of the work done himself. 🤯Completely revamped how his team handles patentability decisions and takes on law firm requests.
Amazed by the ROI from this unexpected source.
Watch on YouTube https://youtube.com/shorts/exnqUHYnwFA
#aistrategy #roche #dataiku #agenticai #patentlaw -
Why Most AI POCs Stall and How to Build an AI Operating Model That Works
Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value. -
Why Most AI POCs Stall and How to Build an AI Operating Model That Works
Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value. -
Why Most AI POCs Stall and How to Build an AI Operating Model That Works
Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value. -
Why Most AI POCs Stall and How to Build an AI Operating Model That Works
Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value. -
Why Most AI POCs Stall and How to Build an AI Operating Model That Works
Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value.