... Access Insights Already a Gartner client? Cloud and AI costs will stretch technology budgets as training, inference and scale-ups change. CIOs should govern consumption with guardrails, selective commitments and model/compute right‑sizing to keep spend predictable without stalling outcomes. Insights ...
Analyst(s): Chris Ganly | Lauren Wheatley
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... Access Insights Already a Gartner client? Regulations, technology and organizations are changing rapidly. CCEOs must learn how to use generative AI to move from stagnant, periodically updated policies, training and communication to guidance that keeps up with the pace of change. Insights at a Glance ...
... client? As AI plays a larger role in service and support, leaders cannot outsource responsibility for service AI outcomes to IT or anyone else. This note guides leaders in building a service operating capability that owns the roadmap and manages AI in production in partnership with IT and central AI teams. ...
... Already a Gartner client? AI agents must be able to integrate with enterprise applications and data to reason effectively and take action based on those decisions. This requires a strategic approach that balances technical architecture, integration practices and governance to provide AI-ready integration capabilities ...
Analyst(s): Shrey Pasricha | Mark O'Neill | Andrew Humphreys | Keith Guttridge
... Access Insights Already a Gartner client? Most AI initiatives fall short due to critical skills gaps in AI engineering capability. This research equips software engineering leaders to assess senior candidates’ engineering experience, technical acumen (including example assessments), and behavioral skills ...
Analyst(s): Mukul Saha | Aaron Harrison | Manjunath Bhat | Nabeeha Ahmed | Nitish Tyagi | Frank O'Connor
... AI design-to-code accurately translates UI designs into front-end code, automating a tedious process. Software engineers should use AI-native application generation and agentic development design-to-code workflows to accelerate software delivery while preserving design intent in implementation. Overview ...
... more agency shifts to machines, the challenge isn’t the role of humans’ in the loop but building shared meaning between humans and AI to drive outcomes. To overcome this, AI leaders and Tech CEOs must innovate with human augmentation in mind. Gartner Recommended Reading Gartner Insights Abstract ...
... features inputs from 19 Gartner Research Board for Global CIOs and Data and Analytics Research Board members on their AI initiatives, spending and investment mix, return on investment (ROI), and AI financial operations (FinOps) maturity. Overview Summary of Results Survey Results Detail Gartner Insights Abstract ...
... CISOs need a business-relevant way to communicate the value of their efforts to secure their organizations’ use of AI. This downloadable tool helps CISOs quickly create a one-page AI cybersecurity strategy that engages senior stakeholders. When to Use Directions for Use Contributors Gartner Recommended ...
Analyst(s): Meghan Hollis | Josh Murphy | Christopher Mixter