AI Governance

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Building a governed banking workflow with SAS® Viya® MCP Server and Claude Cowork

Learn how the SAS Viya MCP Server enables AI assistants like Claude Cowork to orchestrate governed, auditable banking analytics workflows while keeping model execution, governance and oversight within SAS Viya. The post Building a governed banking workflow with SAS® Viya® MCP Server and Claude Cowork appeared first on SAS Blogs.

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Private AI vs Public Cloud AI: A CEO/CIO Decision Framework for Cost, Control, and Speed

TL;DR Private AI versus public cloud AI is not a binary infrastructure decision. It is a workload-placement decision involving five distinct operating models: SaaS AI, direct public model APIs, managed AI platforms, private AI, and hybrid AI. SaaS AI normally provides the fastest path to employee productivity. Public model APIs provide fast access to model

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Why AI ROI Is Stalling: A CEO and CIO Guide to Turning Pilots into Operating Results

TL;DR AI ROI is stalling because many organizations are managing experiments, not investments. A pilot can prove that a model works, users are interested, or a workflow can be partially automated. It does not prove that the organization can produce repeatable business value after integration, data, security, change management, support, and operating costs are included.

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What the CMS HCC transition means for the future of open analytics

Open-source technologies have become a standard part of modern analytics, data science and AI. Organizations across regulated industries are adopting tools like Python to accelerate innovation while building more flexible analytics environments. But adopting open-source technologies introduces a new challenge. As organizations modernize, they must also maintain the governance, transparency […] The post What the

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4 lessons on turning AI into real business decisions

Organizations have spent the past few years experimenting with AI. The question now isn’t whether AI can generate insights. It’s whether organizations can consistently turn those insights into business decisions that create measurable value. That’s where many AI initiatives stall. Models perform well in development but never make it to […] The post 4 lessons

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Permits, reimagined: 5 ways that AI is transforming government approval processes

For many applicants, the permitting process feels like a black box – slow, complex and often frustrating. That perception isn’t unfounded. Across agencies, permitting has long relied on manual reviews, paper-heavy workflows and disconnected systems. The result is predictable: delays, inconsistencies, errors, undetected fraud, and limited visibility for both regulators […] The post Permits, reimagined:

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POOF! Risk evolves, models break and capital vanishes

Consider the following quote from George Box: “All models are wrong, some are useful.” Most of today’s models are free. And models power AI outcomes. When considering your enterprise strategy, AI should fit snuggly into business processes that successfully execute tasks supporting the overall strategic vision – underwriting policies, pricing […] The post POOF! Risk

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OpenAI Presence sells enterprise AI agents with engineers attached

The newest way to buy enterprise AI agents from OpenAI does not involve buying anything online. OpenAI Presence, announced on July 22, is a managed product delivered through a limited general availability programme, and the company states plainly that it is not yet available as a self-serve product. Deployments are led by OpenAI’s own Forward Deployed Engineers

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Trust first, scale faster: The new role of AI governance in banking

A bank deploys a new AI-powered credit decisioning model. The technology works. The model performs well. The business team is ready to move forward. Then the questions begin. Can we explain the recommendation? What data was used? Who approved the model? How do we monitor performance over time? What happens […] The post Trust first,

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Human in the lead: Redefining the role of AI in financial services

Most conversations about agentic AI focus on how autonomous these systems can become. Financial services leaders are asking a different question: Where should autonomy stop? For banks and insurers, the challenge is not simply deploying AI agents. It is determining how those systems, governance requirements and human expertise can work […] The post Human in

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