... client? PMOs that deploy AI agents without solid foundations risk autonomous systems making poor decisions across the portfolio at scale. This research guides PPM leaders to turn experimentation into strategic value, implementing AI agents to transform their PMO to maximize AI benefits and minimize risks ...
Analyst(s): Robert Handler | Peter Clegg | Aditi Pant
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... Access Insights Already a Gartner client? AI anxiety, change fatigue, and declining engagement are undermining workforce readiness for AI transformation. CIOs should replace one-size-fits-all engagement approaches with targeted actions aligned to four key intrinsic drivers — purpose, growth, curiosity ...
Analyst(s): Rob O'Donohue | Kevin Smith | Shawn Murphy
... Access Insights Already a Gartner client? AI is creating situations that current workplace policies were never designed to address, from AI-generated work and human-AI collaboration to decisions influenced by algorithms. HR leaders can use these insights to determine which policies no longer reflect ...
... client? AI implementation can act as a technical debt stress test to expose existing weaknesses across infrastructure platforms, integrations and data. Heads of I&O should use four AI readiness checkpoints to proactively discover technical debt and evaluate remediation needs as they progress AI initiatives ...
... existing data management practices to support AI readiness. We summarize some of the leading practices and steps that data management practitioners can take to integrate and extend their existing architecture and data foundation to deliver data management for AI. Insights at a Glance Strategic Planning Assumptions ...
... This tool helps general counsel evaluate legal AI use cases and determine whether enterprise AI, legal-specific AI, or AI capabilities embedded within existing legal technology are best suited to support them. By applying a structured set of business, risk, governance, operations, and technology criteria ...
... leaders’ top questions about AI agents: Use cases, strategy and market trends AI agents promise efficiency, but D&A leaders need clarity on how to make them work. Here’s what they’re asking: What are the most valuable use cases for AI agents in D&A? CDAOs want examples of AI agents automating data ingestion ...
... Access Insights Already a Gartner client? AI is rewriting the rules of analytics. Dashboards are giving way to AI-native, perceptive intelligence, while data science and ML teams evolve to support AI at scale. D&A leaders must rethink strategies, operating models, skills, and governance to thrive in ...
... Enterprises that think about AI in IT terms are less able to realize AI’s potential. AI is not another technology deployment problem. Barriers to AI’s business impact extend into the way enterprises think and mobilize for an AI world. Enterprises need to deal with more than new technology or evolve their ...