innovation

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50 years of innovation: Customer stories show what’s possible with data and AI

ai, AI (Artificial Intelligence), Artificial Intelligence, customer story, innovation, SAS Viya

For 50 years, SAS has worked alongside organizations tackling some of the world’s most complex challenges. While the technology has changed dramatically, one thing remains constant: our customers’ commitment to solving problems, improving outcomes and making a meaningful difference. In the first half of 2026, we shared 26 new customer […] The post 50 years […]

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How to close the gap between AI adoption and governance

ai, AI (Artificial Intelligence), AI Governance, Artificial Intelligence, innovation, responsible innovation, SAS Innovate, Trustworthy AI

Organizations know AI is important. They’re investing in it, encouraging teams to use it and looking for ways to scale its value. But many organizations are still struggling to turn that priority into governed, scalable action.   Leaders are left scrambling to feel confident about whether AI is being used responsibly, creating a widening gap between what leaders want from AI – innovation, efficiency and competitive […] The post How to

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AI in banking: It isn’t just for the big banks

ai, AI (Artificial Intelligence), AI for SMB, AI readiness, Artificial Intelligence, banking trends, IDC study, innovation, smb

For years, the assumption has been that AI would primarily benefit the largest banks – those with the biggest technology budgets, the deepest talent pools and the resources to experiment at scale. But AI may be creating a different kind of competition. While large banks continue to invest billions in […] The post AI in

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Understanding humans’ value in work

ai, AI (Artificial Intelligence), Artificial Intelligence, Future of Work, innovation, pondering ai, SAS podcasts

What if the real disruption in AI isn’t that machines are becoming more capable but that we’re quietly redefining work in ways that make humans less so?  It’s an uncomfortable question. But it sits at the center of nearly every conversation about productivity, automation and the future of work.  Across industries, work is increasingly framed in terms machines can understand: outputs, efficiency gains, […] The post Understanding humans’

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AI agents are reshaping government. What should leaders know?

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Governance, Artificial Intelligence, Generative AI, innovation, Retrieval-augmented generation, SAS Retrieval Agent Manager, Trustworthy AI

AI agents are moving beyond individual productivity and into government operations.  According to Gartner, at least 80% of governments will deploy AI agents to automate routine decision-making, enhancing efficiency and service delivery by 2028. Because of this, government leaders are challenged to determine where they can deliver value with AI agents while maintaining public trust. Their […] The post AI agents

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Decision intelligence: Why insights alone don’t create value

ai, AI (Artificial Intelligence), AI Governance, Artificial Intelligence, decision intelligence, innovation, SAS Decision Builder, sas intelligent decisioning

Most organizations are struggling to use AI insights. Even as it’s been easier than ever to produce predictions, recommendations and scores, many data science and business teams end up with a stockpile of unused information that doesn’t drive meaningful transformation. Decision intelligence helps organizations bridge that gap by embedding insights […] The post Decision intelligence:

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AI reflects the people who build it

ai, AI (Artificial Intelligence), AI bias, Artificial Intelligence, Generative AI, IDC study, innovation, responsible innovation, trust, Trustworthy AI

Today, your life is being affected by decisions made by AI and machine learning systems. These technologies influence everything from hiring and lending decisions to the content you see online.   When those decisions produce harmful outcomes, many people worry about the technology itself. But the greater risk beyond AI becoming […] The post AI reflects

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Why AI projects fail before the model ever runs

ai, AI (Artificial Intelligence), AI for SMB, AI readiness, Artificial Intelligence, data readiness, innovation, smb, SMB trends, Trustworthy AI

AI readiness is often framed around models, technology and talent. In practice, it starts with something more fundamental: trusted data. Without clean, integrated and governed data, even the most sophisticated AI systems can produce unreliable results and erode confidence across the business. I often meet with data industry professionals and […] The post Why AI

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What leaders learn when AI meets reality

2026 trends, ai, AI (Artificial Intelligence), AI readiness, Artificial Intelligence, Braindate, IDC study, innovation, SAS Innovate, smb

Most leaders do not have an AI problem. They have a readiness problem. In many small and midsized businesses, pilots are underway and use cases are defined. But when leaders step back and ask the harder question, “Is AI actually paying off?”, the answer is often less clear. This gap […] The post What leaders

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What leaders learn when AI meets reality

agentic ai, ai, AI (Artificial Intelligence), AI readiness, Artificial Intelligence, Future of Work, Generative AI, IDC study, innovation, Retrieval-augmented generation, SAS Innovate, SAS Retrieval Agent Manager

The global AI market feels more Orwellian than Dickensian these days, with headlines hitting our feed like AI contributed “basically zero” growth to US GDP (2025). This latest revelation represents a series of increasingly worrisome disappointments: 95% of GenAI pilots fail (MIT), Amazon’s Kiro agent sparks 13-hour outage by deleting […] The post What leaders

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