数据和 AI 影响力报告信任必要性(英)
DATA AND AI IMPACT REPORT: The Trust ImperativeSEPTEMBER 2025Insights provided byWhat People are Saying About The Data and AI Impact Report“ Change is the only constant, and AI is evolving faster than ever, but speed without trust is a risk we can’t afford. This report reveals a striking trend: Industries like banking and insurance are seeing both high returns and high volatility – a clear sign of the trust gap. As a passionate leader in trustworthy AI, I see these findings reflected in real business conversations every day. The path forward is clear: Trust and data governance must drive the race.”Preeti Shivpuri Partner, National Leader Trustworthy AI and Data Risk, Deloitte“ Trying to scale GenAI on weak data foundations is like building a skyscraper on quicksand. This The Data and AI Impact Report by SAS and IDC unpacks important nuances for trust in AI and the impact of AI and offers essential guidance for leaders navigating the fast-moving world of technology.”Derek Yueh Research Lead, LinkedIn B2B Institute“ Trust is essential to create impact. This report aligns with our own findings on the importance of improving employee trust in AI adoption, and this research will aid organizations in that process.”Roy Ikink Technology Lead, Accenture the Netherlands “ As an organization deeply committed to leveraging data and AI responsibly, we found Data and AI Impact Report to be a powerful validation of what drives real business value – trust, governance and scalable data foundations. This analysis goes beyond surface-level insights, offering a global and actionable view into how AI maturity correlates with strategic impact. For leaders navigating the shift from experimentation to enterprise transformation, this report is a must-read.”Ryan Bishara EVP, Revenue & Data Strategy, LAFC and BMO Stadium 1DATA AND AI IMPACT: THE TRUST IMPERATIVE | GLOBAL REPORTContentsExecutive Summary ....................................................................................................1A Message from the Analyst Team .........................................................................2Methodology .................................................................................................................4Introduction ...................................................................................................................5The Global State of Data and AI..............................................................................6Core Metrics of this Research ..................................................................................7The Trust Dilemma ......................................................................................................8Global – Key findings ..................................................................................................9The State of Data and AI Across Industries .........................................................12The Trust Dilemma Across Industries ......................
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