... Access Research Already a Gartner client? AI Leaders can use this tool to estimate their current readiness across several fundamental maturity pillars: AI strategy, AI use-case and product portfolio, AI governance, AI engineering, AI data, AI ecosystems and operating models, and people and culture. ...
Analyst(s): Leinar Ramos | Anthony Mullen | Alex Lowe Welch | Pieter den Hamer
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... Gartner client? As AI spreads across business units and functions, many C-suites realize that they are missing an AI leader. An AI leader is a transformative figure with two important competencies: business/strategic knowledge and technology knowledge to understand how to apply AI throughout the organization ...
Analyst(s): Erick Brethenoux | David Groombridge | Anthony Mullen
... data to a more diverse mix of approaches that include embedded AI in software, bring‑your‑own‑AI options and blended, built‑in capabilities. AI source 1: Embedded AI in software Embedded AI has become the largest and fastest-growing area of AI capabilities. Software vendors are increasingly delivering these ...
... Executive leaders in global companies struggle to raise AI literacy in their organizations, limiting their ability to identify use cases and build meaningful applications. This research explains how to use AI hackathons to fast-track an organization’s AI literacy and increase its skills. Overview Strategic ...
Analyst(s): Christian Stephan | Peter Skyttegaard | David Pidsley
... Access Research Already a Gartner client? AI is changing traditional workplace operating models by democratizing access to technology, generating insights and changing the relationship between people and technology. To manage AI-driven change, AI leaders must plan, build and monitor the changes they ...
... but not without concerns over accuracy. Learn how Soochow developed a multiagent AI workflow to address these issues and automate the investment advisory process from information retrieval to presentations delivered by AI avatars. Gartner Research ...
... Successful AI governance balances value and risk. It requires an operating model, policies, controls and enabling technologies that are included in this playbook. CIOs can use this playbook to design, implement and adjust AI governance, ensuring compliant, ethical, trustworthy and responsible AI. Overview ...
... AI will funnel into the enterprise from many new sources, changing the IT landscape. This presentation introduces a framework from the 2024 Gartner IT Symposium/Xpo keynote for CIOs to reimagine how their technology stacks, data approaches and governance structures can evolve to support AI. Overview ...
... Research Already a Gartner client? Finance leaders face challenges in implementing AI responsibly while ensuring reliable, repeatable and auditable results. This research helps finance transformation leaders build a measured AI maturity model, mitigate risks and deliver value. Overview Why This Matters How ...