... 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 ...
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... exploitability gap while combating GenAI and regulatory risks. To win, vendors must deliver unified code-to-cloud platforms that secure both human and AI-generated pipelines. Insights at a Glance Strategic Planning Assumption Gartner Recommended Reading Gartner Insights Abstract ...
... hasn’t yet made a material difference to financial results in most enterprises, but boards of directors still expect it to be influential. CIOs should propose digital technology investments that address the board’s top business challenges in 2020. Overview Introduction Analysis Gartner Recommended Reading ...
... Access Insights Already a Gartner client? AI transformation is outpacing workforce readiness. To maximize AI value and thrive in the human-machine era, CHROs must build and evolve targeted skills that align with how AI augments, reengineers, or invents work itself. Insights at a Glance Impact Actions ...
... AI leaders can use this online tool to gauge their maturity across seven main AI capability categories: strategy, value, organization, people and culture, governance, engineering, and data. Take this assessment to establish your current maturity, find priority gaps and receive recommended next steps. ...
Analyst(s): Anthony Mullen | Pieter den Hamer | Joe Ham | Leinar Ramos
... Can Facilitate Effective Risk-Based Authentication Decisions 3DS-2 Offers a Scalable Approach to Meet Regulatory Demands for Stronger Authentication in Digital Commerce 3DS-2 Can Be Tightly Integrated With Fraud Detection Tools to Improve Risk Mitigation Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Akif Khan | Jonathan Care | Dayna Ford
... Gartner client? Google’s integrated AI agent tech stack, scalable enterprise adoption support and strategic investments inAI disruptors make it the company to beat in the agentic AI race because it outpaces competition in vision and innovation. Competitors can invest in model innovation and scalability ...
Analyst(s): Kiumarse Zamanian | Jason Wong | Eric Goodness | Danielle Casey
... emerging trends I&O leaders can add new decision analysis capabilities and trust levels for their AI operations, following Dynatrace’s intended acquisition of Arize. This acquisition highlights a major shift, with AI agent observability now emerging as a core component of observability platforms. Overview ...
Analyst(s): Andre Bridges | Manjunath Bhat | Andrea Curry | Alex Coqueiro | Leo Li | Pankaj Prasad | Padraig Byrne
... AI-focused protocols like Model Context Protocol and Agent2Agent are creating both excitement and confusion in the AI developer community. Software engineering leaders should adopt MCP for context-oriented use cases and hold off evaluating interagent-oriented protocols until adoption is more widespread ...
Analyst(s): Aaron Lord | Gary Olliffe | Keith Guttridge | Andrew Humphreys