... impact and future opportunities, and why enablement, platform investment and governance are becoming more important drivers of value than tool selection alone. The session will also demonstrate how to use the AI Score for Software Engineering to assess AI's contribution and communicate its impact to business ...
Analyst(s): Keith Holloway | Akriti Kapoor
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... 2026 and Gartner Hype Cycle™ forArtificial Intelligence. Formalize the AI strategy What steps should I take to initiate the AI strategy? Align and realign AI strategy with business strategy — and vice versa — while integrating both your AI portfolio and AI operating model. Follow this guidance. How do ...
... CFOs can create cost transparency and shared accountability across decentralized cloud, SaaS and AI spending •Explore approaches for building investment discipline, outcome metrics and value-based governance across the enterprise •Discover how modernization can fund future growth by reducing structural ...
... examine how CIOs and technology leaders can redesign operating models to accommodate AI-enabled workforces, strengthen governance of critical assets such as data and platforms, and adopt more adaptive approaches to delivering business outcomes. Return to this web page to watch the webinar. Contact us at ...
... include: Assess gaps in AI-readiness and develop strategies to close those gaps. Build the business case to secure funding for investments in AI-ready data and analytics. Define and demonstrate the value of AI readiness for data, governance and people. Evaluate technologies, platforms and architectures needed ...
... across strategy, data, technology, governance, talent and business value — not just tools. Why and how do I use an AI maturity model? It serves as a planning and diagnostic tool to: Establish a baseline of AI capability for the enterprise or a business function Guide strategic planning and resource allocation ...
... Assess the current state of agentic AI in customer service and support, including adoption trends, use cases and business value •Evaluate organizational readiness for agentic AI across data quality, workflow design, integration and governance •Understand why many agentic AI initiatives stall before reaching ...
Analyst(s): Daniel O'Sullivan | Kim Hedlin | Ian Elliot
... accelerates, enterprise AI coding agents are capturing a growing share of enterprise software engineering spend, with the market estimated at roughly $9.8 billion to $11.0 billion annualized as of April 2026. Market growth is accelerating — and becoming more complex Since mid-2025, the market has expanded rapidly ...
... Transportation, particularly in the execution phase, is a domain full of AI opportunities across agentic, generative and ML-based AI. Heads of logistics should use this research to evaluate AI use cases based on business value and feasibility to discover and prioritize the most beneficial use cases. ...