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... Access Insights Already a Gartner client? Life science CIOs are responsible for accelerating the adoption and use of innovative technologies for competitive differentiation and to drive efficiency in their business. CIOs can use this Hype Cycle to identify innovative technologies reshaping their industry ...
... •Understand how agentic AI shifts value from insight generation to autonomous action •Assess readiness across data, processes, technology, governance and talent •Build a 90-day action plan to responsibly delegate work to AI agents AI is moving beyond insight generation toward autonomous, context-driven ...
... Access Insights Already a Gartner client? Life science R&D is unifying real and in silico workflows to innovate discovery, clinical and product development processes. This Hype Cycle helps CIOs prioritize digital investments, resulting in accelerated speed to market, reduced costs and enhanced productivity ...
... •Understand why context is a dynamic, situational capability rather than a static repository of enterprise data •Learn why semantic models, ontologies and conformed business metrics are critical for reliable AI reasoning •Explore how organizations can capture undocumented processes and institutional ...
... The 2027 Gartner CIO and Technology Executive Survey provides strategic guidance to help CIOs navigate four critical disconnects. Life science CIOs can use this research to benchmark against their peers, prioritize investments and more rapidly realize value from AI initiatives. Insights at a Glance ...
Analyst(s): Animesh Gandhi | Evun Wyer | Roger Caleya | Jeff Smith | Michael Shanler | Reuben Harwood
... agentic AI outpaces human oversight, human-in-the-loop governance becomes a compliance and scalability bottleneck. GxP guardian agents enable life science CIOs to build trust at scale through continuous oversight, auditability and policy enforcement. Insights at a Glance Strategic Planning Assumptions ...
Analyst(s): Evun Wyer | Robert Potts | Animesh Gandhi | Laura Craft
... machine learning initiatives as AI for decision making becomes a priority. This brings unique challenges as datascience teams embrace full-stack AI development. This research offers datascience leaders best practices to ensure AI success. Overview Introduction Analysis Gartner Recommended Reading Gartner ...
... This interview guide consists of questions hiring managers in data and analytics can use to systematically evaluate datascience candidates’ ability to think critically about important ethical issues that they encounter in their work. Overview Directions for Use Recommended by the Authors Gartner Insights ...
Analyst(s): Chief Data and Analytics Officer Research Team