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When I joined SAS in 1997, most analytics workflows still revolved around desktops, batch processing and highly technical users. Later that same year, SAS introduced SAS/IntrNet – a technology that helped bring SAS analytics into the growing world of web applications. At the time, it felt like a major shift […] The post From SAS/IntrNet […]
From SAS/IntrNet to agentic AI: Watching two technology shifts unfold Read More »
By the time a company’s legal team finishes drafting its generative AI acceptable use policy, a meaningful percentage of its engineers, analysts, and product managers have already moved past it. Not deliberately. Not maliciously. Just practically. This is the core dynamic of what the industry now calls shadow AI: the unauthorized, ungoverned use of AI
Tax return registrations and filings continue to rise and fraud schemes are becoming more automated and sophisticated. At the same time, public expectations for fast, digital service are higher than ever. The intensity is real and the data tells a sobering story. In the United States alone, the Internal Revenue […] The post Why tax
Why tax agencies are embracing hybrid AI and generative AI Read More »
SAS leaders tipped their hats to the latest advances in data and AI and to the road ahead, at the media briefing during SAS Innovate. Leaders shared updates across agentic AI, industry-ready models, data management, governance and emerging technology, all grounded in helping organizations put AI to work responsibly and […] The post Even the
Even the news is bigger in Texas: Highlights from the SAS Innovate media briefing Read More »
Why it matters: How to use AI as a business strategy: real case studies from Klarna, Morgan Stanley, and Unilever, with ROI measurement, governance, and adoption guidance.
How Can You Use Artificial Intelligence As A Business Strategy For Your Organization? Read More »
Two weeks ago at Google Cloud Next ’26 in Las Vegas, Google did something the enterprise AI industry has been dancing around for the better part of two years: it made agentic AI governance a native product feature, not an afterthought. The centrepiece announcement was the Gemini Enterprise Agent Platform, pitched as the successor to Vertex AI
Google made agentic AI governance a product. Enterprises still have to catch up. Read More »
Table of contentsWhat Is AI Red Teaming?Top 19 AI Red Teaming Tools (2026)Conclusion What Is AI Red Teaming? AI Red Teaming is the process of systematically testing artificial intelligence systems—especially generative AI and machine learning models—against adversarial attacks and security stress scenarios. Red teaming goes beyond classic penetration testing; while penetration testing targets known software
Top 19 AI Red Teaming Tools (2026): Secure Your ML Models Read More »
The assumption that the US holds a durable lead in AI model performance is not well-supported by the data, and that is just one of the uncomfortable findings in Stanford University’s 2026 AI Index Report, published this week. The report, produced by Stanford’s Institute for Human-Centred Artificial Intelligence, is a 423-page annual assessment of where
The US-China AI gap closed. The responsible AI gap didn’t Read More »
AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is allowed to
As AI agents take on more tasks, governance becomes a priority Read More »
The same technology that financial institutions deploying is being weaponised against them. That is the core tension running through Experian’s 2026 Future of Fraud Forecast, and it’s a tension the company is in a position to name because it sits on both sides of it. According to FTC data cited in the forecast, consumers lost
Experian uncovers fraud paradox in financial services’ AI adoption Read More »
