... AI literacy is crucial for AI adoption and workforce upskilling and is now rapidly becoming a legal mandate. Data scientists must partner with AI architects and business leaders to develop and implement an AI literacy program focused on business outcomes and value creation from AI implementations. Overview ...
Analyst(s): Zain Khan
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... origin as strategic sourcing risks in light of the White House executive order 14420 on bulk-power system security. They should expand supply risk management to include power, grid, and geopolitical constraints, and validate infrastructure readiness before scaling AI. Overview Analysis Contributors Gartner ...
Analyst(s): Cheryl Van Dyke | Mark Jaggers | Will Sommer | Vikas Bhardwaj | Katarzyna Fonteyn
... Access Insights Already a Gartner client? Unmanaged AI projects drain critical capital when they proceed without clear evidence of business impact. CIOs must rein in poor-performing initiatives by using explicit, time-bound impact metrics to pivot or stop projects before they bleed resources. Insights ...
... Related Gartner resources Gartner for Supply Chain Future of Supply Chain Supply Chain Strategic Planning Client Story Managing Supply Chain Risk to Predict Disruption Learn how leaders from Alexion Pharmaceuticals and Thales work with Gartner to develop effective supply chain risk management strategies ...
... Data and analytics (D&A) leaders must adapt their data governance frameworks to embed AI-specific data requirements in order to support and scale AI initiatives effectively. Outcome Suggested Partners Featured Resource Step 1 Step 2 Step 3 Gartner Insights Abstract ...
... Access Insights Already a Gartner client? R&D leaders can use this AI use case prioritization framework to align AI projects with strategic goals, ensuring investments deliver meaningful R&D outcomes by assessing use case value and feasibility. Insights at a Glance Impact Actions How to Execute Success ...
... Access Insights Already a Gartner client? The rapid rise of AI agents exposes organizations to severe operational and legal liabilities that traditional AI governance cannot address. Data and analytics leaders must shift their governance programs to adapt to the risks of “agency,” analyze the fragility ...
Analyst(s): Yogesh Bhatt | Andrei Razvan Sachelarescu | Lauren Kornutick
... turns a competitive moat into a vulnerability for AI systems, including AI agents, risking catastrophic real-world consequences. Product leaders must secure data pipelines and repositories, and rigorously validate simulation data to ensure reliable, safe AI outcomes. Overview Analysis Gartner Recommended ...
... Access Insights Already a Gartner client? Misaligning your AI posture with your enterprise guarantees operational chaos and “shadow AI.” Use the AI-ambition fit matrix to correct your course, or watch the CEO strip your strategic influence. Insights at a Glance Impact Actions How to Execute Success Measures ...
Analyst(s): Daniel Sanchez Reina | Alexander Buschek