... research to determine which platforms are best suited for your teams’ use cases. Overview What You Need to Know Analysis Alibaba Cloud Amazon Web Services BytePlus CoreWeave Databricks Google IBM LangChain Microsoft OpenAI Palantir Scale AI Tencent Cloud Grounding Guardrails Evaluations Observability ...
Analyst(s): Keith Holloway | Cary Pillers | Pamela Katz | Luke Parker
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... be AI agent intermediated, pushing over $15 trillion of B2B spend through AI agent exchanges. “Make products machine-readable to unlock new markets.” By the end of 2026, “death by AI” legal claims will exceed 2,000 due to insufficient AI risk guardrails. “Create contingency funds for damaging AI incidents ...
... cybersecurity market is in a continual state of flux as new requirements and technologies emerge and mature technologies converge into cybersecurity platforms. Cybersecurity leaders should use this guide to plan their journey to an effective technology stack, optimize existing spend, and plan for future technology ...
... Enterprise applications and IT leaders must now pair information governance with runtime governance. The AI TRiSM framework extends control to where AI uses information, while targeted remediation and wider life cycle, privacy and legal obligations continue. Insights at a Glance Issue Impact Implications ...
... Gartner client? Heads of enterprise architecture must leverage neurosymbolic AI to better train, observe, control, and orchestrate AI agents. Successful heads of EA source NSAI vendors with vertical AI pillars designed for their industry’s use cases, ontologies, cognitive frameworks, and knowledge bases ...
... As AI powers both content creation and discovery, weak governance can lead to inconsistent messaging, compliance risks, and fractured buyer experience. Use this toolkit to assess content governance maturity and establish the accountability and guardrails needed for both humans and machines. When to Use ...
... Access Insights Already a Gartner client? AI accelerates the need to mature data governance practices, but tech-centric business cases fall short, putting funding, sustainable governance practices, and AI value at risk. D&A leaders can use a six-step approach to build trust, credibility, and demonstrate ...
... cybersecurity into an AI enabler by transitioning from a risk-dominant to a value-dominant AI cyber governance model. This will balance AI adoption with AI cyber governance, and address issues created by AI technologies that cannot easily be seen or detected, including dark AI and shadow AI. Insights at a Glance ...
Analyst(s): Meghan Hollis | Christopher Mixter | Daryl Plummer