Equity and Responsibility

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Why consistent reproducibility can’t be optional in clinical research

ai, AI (Artificial Intelligence), Artificial Intelligence, clinical research, Clinical Trials, Equity and Responsibility, responsible innovation, SAS Clinical Acceleration, statistical computing environment

Run the same analysis on the same data. You should get the same result. Every time. In clinical research, that simply isn’t a best practice. It’s a regulatory expectation. Yet, a surprising number of clinical research teams still rely on individual analysts, local computing environments and manual documentation to ensure […] The post Why consistent […]

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Personalization is becoming health care’s new standard

ai, AI (Artificial Intelligence), AI in health care, Artificial Intelligence, clinical care, Equity and Responsibility, patient care, Personalization

The consumerization of health care is no longer a future-state concept. It is here, and it is reshaping expectations faster than many organizations are prepared to meet. Patients today are not just recipients of care. They are consumers comparing experiences across industries. They expect the same level of personalization, convenience […] The post Personalization is

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

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Governance, Artificial Intelligence, customer story, Equity and Responsibility, responsible innovation, SAS Innovate, sas interns

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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Beyond AI pilots: Why governance matters in banking

ai, AI (Artificial Intelligence), AI Governance, AI readiness, Artificial Intelligence, Equity and Responsibility, Generative AI

Editor’s note: This post was co-authored by Diana Rothfuss. For the past few years, banks have focused on proving that AI can deliver business value. Across financial services, organizations have launched pilots, explored generative AI use cases and tested how AI can improve everything from customer engagement and fraud detection […] The post Beyond AI

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Reflecting on 50 years of environmental innovation

ai, AI (Artificial Intelligence), Artificial Intelligence, corporate sustainability, earth day, environmental innovation, Equity and Responsibility, equity and responsiblity, SAS 50th anniversary, Sustainability

As we celebrate our 50th anniversary, this Earth Day carries special meaning for us at SAS. For me, it’s also a moment to step back and evaluate what has worked and what it really takes to sustain environmental progress over time. Reflecting on five decades of environmental stewardship, we didn’t […] The post Reflecting on

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Overcoming the AI trust dilemma: Key strategies for public sector leaders

2026 trends, ai, AI (Artificial Intelligence), Artificial Intelligence, Equity and Responsibility, IDC study, public sector trends, responsible innovation, trust, Trustworthy AI

Few words stir both excitement and fear quite like AI. Similar to a carnival rollercoaster, some people lean into the thrill, while others clutch their safety bar. The promise of AI seems limitless, but so does the risk of going off the rails. This dynamic is playing out across government, […] The post Overcoming the

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Agentic AI in health care and life sciences: autonomy, accountability and the architecture of trust

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Governance, Artificial Intelligence, data lineage, Equity and Responsibility, Trustworthy AI

With all the change that’s happened in the past decade, a few key things remain the same across health care and life sciences. Clinical trials remain the engine behind every new therapy, care delivery systems determine whether patients receive timely and effective treatment and health care payers must steward finite […] The post Agentic AI

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Governance isn’t a burden — it’s a business strategy

2026 trends, ai, AI (Artificial Intelligence), AI Governance, AI regulation, Artificial Intelligence, data ethics, Equity and Responsibility, EU AI Act, governance, public sector trends

Regulatory pressure is real. Regulations keep piling up – ESG, GDPR, supply chain due diligence and now the EU AI Act. There’s no sign of it slowing down. And it’s not just regulators watching; customers, partners, and investors have rising expectations. The situation feels like a pressure cooker. Leaders in […] The post Governance isn’t

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AI risk is not a black swan – it’s a flock of grey swans

ai, AI (Artificial Intelligence), AI Ethics, AI Governance, Artificial Intelligence, Equity and Responsibility, EU AI Act, Responsible AI, trust, Trustworthy AI

We see headlines about misbehaving chatbots, fictitious reports, and systemic fairness issues. Yet AI risks are neither unexpected nor unforeseeable. They stem from a combination of well-known but underestimated risks across ethics, data security and legal topics. These are not black swans, but grey swans. Recognizing this shift in perspective […] The post AI risk

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Reflecting on responsible innovation: A defining moment

2026 trends, Artificial Intelligence, data ethics stories, Equity and Responsibility, responsible innovation, SAS executives, Trustworthy AI

I had the privilege of joining the Dean’s Speaker Series at UNC Kenan-Flagler Business School, hosted in partnership with the Kenan Institute of Private Enterprise. My sincere thanks to Dean Mary Margaret Frank, the Kenan Institute team and all who made this event possible. It was an honor to share […] The post Reflecting on

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