Blogs

Innovation

Read how data-driven insights can help organizations uncover new approaches to their key challenges and deliver new innovations faster.

Artificial Intelligence | Innovation

Edie MoyersMarch 26, 2026 0

Same toolbox, different tools: Understanding machine learning, computer vision and NLP in the public sector

Advanced AI technology is transforming how governments think, work and solve problems. With new terminology and evolving tools, understanding AI can feel overwhelming. Before diving into new applications, it helps to build a strong foundation in its core concepts. This overview breaks down three of today’s most prominent AI capabilities: machine learning,

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Government

Data Management | Innovation | Internet of Things

Saurabh MishraMarch 25, 2026 0

Enterprise AI agents: Requirements for reliable data access

Many conversations about AI agents focus on models and frameworks. But when organizations attempt to deploy agents in real operational environments, a different challenge quickly emerges. How agents reliably and securely access enterprise data. Without reliable access to relevant data, AI agents struggle to support operational decisions. Whether diagnosing equipment

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Artificial Intelligence | Data Management | Innovation

Reyk MiklesMarch 25, 2026 0

What a modern governance platform looks like – and how to choose the right one

Governance, risk and compliance (GRC) has evolved beyond a control mechanism or regulatory safeguard. In today’s environment, it forms the operational backbone of effective corporate management – enabling organizations to identify risks early, meet regulatory expectations reliably, and ensure that decisions and processes remain transparent and traceable. Yet many organizations still

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Banking | Government | Health Care

Artificial Intelligence | Innovation | Predictions

Franklin ManchesterMarch 23, 2026 1

The hunt for (Reddit) data is over

A nagging question remains after asking, “What’s next after zero-click search?” How do frontier models – like OpenAI’s o3 series or Google’s Gemini 3 – learn? Garbage in, garbage out Large language models (LLMs) learn from massive amounts of text data, including billions of words, public information, and, you guessed it,

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Insurance

Analytics

Caslee SimsMarch 18, 2026 0

50 years of health care innovation: Stories of data, discovery and better outcomes

For 50 years, SAS has worked alongside organizations trying to solve some of the most complex challenges in health care. Over that time, the tools have evolved dramatically. The industry has moved from paper records and mainframes to cloud platforms, AI models and genomic datasets spanning millions of data points.

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Health Care

Artificial Intelligence

Ellen HooverMarch 17, 2026 0

When risk moves faster: What government procurement needs next

It’s 5:05 p.m., and a procurement analyst is staring at a new 47-event alert with no clear sense of which flags are truly high-risk. Across the hall, a compliance lead has just uncovered a low-risk event that sat untouched in a queue for 19 days. These moments capture a broader

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Government

Cloud | Innovation | Predictions

Digital background depicting innovative technologies, data protection Internet technologies. Cloud computing digital concept

Elaina SiverlingMarch 15, 2026 0

Top 5 challenges SMBs face – and how modernizing to the cloud can help

For small to medium businesses, the pressure to innovate is real, but so are the constraints. Teams are expected to deliver more with the same resources, manual processes and limited budgets. Modernizing analytic workflows often feels out of reach, especially without enterprise-level staff or funding. But change is coming fast.

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Artificial Intelligence | Predictions | Risk Management

Reyk MiklesMarch 10, 2026 0

AI in credit: Faster decisions, stronger controls

Credit processes in banking are at a turning point. Volatile markets, new competitors, increasing regulatory requirements and an exponentially growing database are putting unprecedented pressure on traditional, largely manual and siloed processes. At the same time, customers expect fast and consistent decisions, while regulators demand transparency, traceability, and control. In

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Banking

Artificial Intelligence | Data Management | Predictions

Lindsey CoombsMarch 5, 2026 0

How to modernize your data estate for AI success

Improve AI readiness, governance and trust by establishing a modern data estate.

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Artificial Intelligence | Innovation

John BallaMarch 2, 2026 1

Five imperatives for responsible AI in government

As a public sector leader, the pressure to resolve operational issues in your organization is constant, and you may be considering new or better AI models, AI agents or more broadly applied generative AI (GenAI) applications. At the same time, growing use of AI can raise issues related to accountability,

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Government

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