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 | Predictions

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Jared PetersonFebruary 3, 2026 0

Retro vibes to futuristic leaps: 4 predictions for the year ahead

Last year was a big one for AI – especially regarding agents, large language models (LLMs) and digital twins. With every new advancement that changed our lives for the better came something equally complicating (trust and governance, for example), but I firmly believe AI is steering us in the right

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Artificial Intelligence | Innovation

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Glynn NewbyFebruary 2, 2026 1

Why predictive maintenance needs more than retrieval

Manufacturers operate some of the most complex machinery on the planet – from CNC machines and industrial robots to gas turbines with over 20,000 components. Keeping these assets running smoothly is mission-critical, yet maintenance teams are often buried under vague alerts, scattered documentation and time-consuming root cause analysis. Much of

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Manufacturing

Artificial Intelligence | Innovation | Machine Learning

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Thomas WilemanJanuary 26, 2026 0

Conversational pipeline building with SAS Viya Copilot in Model Studio

Building a machine learning pipeline in SAS® Model Studio is rarely a straight line. You start with a goal in mind but quickly find yourself navigating many decisions: understanding the nuances of your data, identifying and fixing data quality issues, choosing models for the task and evaluating training results to

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Customer Intelligence | Innovation

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Mike TurnerJanuary 21, 2026 0

Rethinking how we build modern marketing

This is the final post in a five-part blog post series that delves into modernizing marketing strategies through the integration of advanced marketing platforms. I had the pleasure of interviewing Shaun Memon of Munvo for this series, where we discuss a wide range of topics, from fragmented MarTech stacks, first-party

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Artificial Intelligence | Innovation | Predictions

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Riad GydienJanuary 20, 2026 0

Trust and talent: The foundation for responsible AI adoption

Every so often, new technology hits like an earthquake. It starts with faint rumblings, then suddenly creates an irreversible shift in the landscape. Social media was one of those moments. What began as an experiment quickly became a cultural engine, reshaping how we communicate, consume information and do business. Its

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Artificial Intelligence | Predictions

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Thorsten HeinJanuary 14, 2026 0

Quality and efficiency soar with agentic AI for claims

From intake to settlement, agentic AI can create notable improvements in insurance claims processing.

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Insurance

Fraud & Security Intelligence | Innovation | Predictions

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Dan StarbuckJanuary 13, 2026 0

Inside a modern cybersecurity strategy

Cybersecurity programs are often judged by what goes wrong. However, the most effective security teams are defined by what remains invisible to customers: disciplined preparation, swift decision-making and a clear understanding of where risk truly matters. At SAS, cybersecurity is treated as a business enabler rather than a reactive control

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Artificial Intelligence | Innovation | Predictions

Colby HokeJanuary 12, 2026 0

AI engineering: The unifying force

If AI engineering is the connective tissue, what exactly does it connect? In part one of this series, I made the case that AI engineering isn't just another buzzword – it's a discipline that integrates the technical, ethical and human dimensions of building AI systems. So, what are we connecting,

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Artificial Intelligence | Predictions

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Sascha SchubertJanuary 6, 2026 0

New perspectives for innovation with quantum AI

Now that AI has entered the business world, I believe the next stage involves combining AI technology with significantly greater computing power. Quantum AI represents the next step, opening up exciting prospects for organizations by enabling speed, precision, efficiency and innovation in areas where classical technology reaches its limits. Traditional

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Fraud & Security Intelligence

Dynamic Network Graph Visualizing Intricate Connections to Uncover Complex Fraud Schemes for Financial Crime Analysis and Intelligence

Caitlin EstradaDecember 18, 2025 1

Designing financial crime systems that work for people, not just models

Technology advances fast, but meaningful innovation still comes down to one truth: systems work best when they’re built around people. In risk, fraud, and compliance (RFC), this means designing tools that understand intent, reduce friction for investigators, protect sensitive data, and adapt as fraud evolves. The Grace Hopper Celebration (GHC)

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