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
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,
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
¿Qué es FRTB? El FRTB (Fundamental Review of the Trading Book) es una reforma integral del Comité de Supervisión Bancaria de Basilea (BCBS) para corregir debilidades del marco previo de riesgo de mercado, evidenciadas en la crisis financiera de 2008. Sus objetivos principales son: Marco más robusto: metodología más precisa
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)
As energy systems become more distributed, digital and dynamic, utilities are increasingly turning to AI and IoT to help modernize operations, improve reliability and accelerate decarbonization. Yet according to the IDC InfoBrief, How AIoT Is Reshaping Industrial Efficiency, Security, and Decision-Making, more than half of AIoT initiatives are still stuck in
Artificial intelligence is no longer a distant horizon – it’s here, reshaping how marketers engage with audiences and create experiences that last. Over the past year, generative AI (GenAI) has become the new status quo. More than 85% of marketing teams worldwide are already using it, with 93% having dedicated
There are moments in your career that stay with you forever – not because they were carefully orchestrated – but because they were fueled by passion and a desire to make a real difference. For R&D Senior Director, Dan Tamburro, one of those moments came shortly after the terrorist attacks
Discover how to establish a foundation for success with AI in insurance.
At SAS, we use and contribute to a wide range of open source projects. This series – SAS Contributes – highlights how our teams give back to the open source community. In this installment, we’re focusing on OpenSearch. If you’ve ever sifted through thousands of system logs or product reviews to
This is the fourth 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 data
One of the lesser talked-about issues large organizations face is the siloes that their various business units operate in. It’s a peculiar situation born from the specificity of tasks and objectives assigned to hyper-specialized teams within an enterprise. This separation of tasks inevitably leads to critical dependencies between teams. However,
If you’re building AI solutions today, you already know the stakes: faster decisions, trusted results and the ability to scale without blowing up your compute budget. What you may not always see is what’s happening under the hood to make that possible. That’s where strong technology partnerships matter. For more
No one is immune to identity theft – I know this firsthand. I was targeted while working at a financial institution where I was also a credit card customer. One day at work, I received an internal call from the bank’s customer contact center. I was informed that someone impersonating
Across government programs worldwide, the stakes for managing fraud, waste and abuse (FWA) have never been higher. Every dollar lost to fraud is a dollar that could have been used to fund public health, education, or infrastructure. In a previous blog, I discussed the movement toward increasing public sector productivity
Imagine being dropped into a vast mountain range, such as the Adirondacks and being tasked with finding a specific lake. You are told that the lake is located at the lowest part of the mountain range and the only tools you are given are a compass and a method for
The term “Internet of Things” has been around for over a decade, but the conversation between SAS Vice President of IoT Jason Mann and Quasar CEO Edouard Alligand shows that the real transformation is only just beginning. The two explored how IoT is moving beyond reactive monitoring toward predictive analytics
When companies invest in AI, the first question often asked is: “What’s the ROI?” It's a fair question – but often the wrong one, at least in the way it's traditionally framed. In the early 2000s, no one could give you an ROI calculation for building a website. But they could
When AI projects stall or fail, most leaders assume the culprit is flawed models or immature technology. But research shows the real barrier is trust. The new Data and AI Impact Report uncovered what we call the trust dilemma: the gap between how AI is perceived and how responsibly it’s
Procurement has long been burdened by complexity – slow contract cycles, compliance risks and manual handoffs that eat away at time and efficiency. As AI matures beyond basic chat interfaces and static outputs, procurement leaders are beginning to witness the transition from manual inefficiency to automated agility. What makes agentic
Before we get started, I’d like to acknowledge that we’re inundated with buzzwords – all day, every day. I work in marketing, so I totally understand I’m part of the group to blame (sorry). But hear me out: “AI engineering” not only makes sense, but it’s critical to the future
At SAS Innovate in Orlando, our partners shared how they’re helping public sector organizations modernize operations and serve communities more effectively with SAS®. From using AI and automation to streamline government workflows, to enabling data-driven decision-making that improves citizen services, they’re showing what’s possible when innovation meets collaboration. In
Generative AI (GenAI) adoption is skyrocketing, but are leaders putting too much trust in it? The new Data and AI Impact Report found decision-makers trust GenAI three times as much as traditional machine learning, even though machine learning is more mathematically explainable. Just because GenAI seems trustworthy doesn’t mean it
Agentic AI is generating excitement and being cheered as the next frontier in automation and decision-making. However, beneath the buzz, lies a sobering forecast: Gartner warns that “over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value, or inadequate
In the latest Sounds of SAS video, Greg Kraus, SAS' Director of Product Accessibility, shared a pivotal moment that highlighted his team's groundbreaking work. A few years ago, his team experienced a milestone that redefined what inclusive technology could achieve. During a brainstorming session to showcase data sonification capabilities,
Financial institutions operate in a highly regulated, data-sensitive environment. At the same time, these institutions are under pressure to modernize credit scoring models that balance fairness, accuracy and compliance. The challenge? Most financial institutions lack access to the volume and diversity of high-quality, privacy-safe data needed to fuel these models.
Leadership doesn’t start with a title; it starts with action. In statistical programming, that might mean stepping up to explain a complex data set in a cross-functional meeting, suggesting a new way to visualize results or taking ownership of a project that goes beyond coding. These are the moments where
AI systems have problems. They don’t always work right. They hallucinate, lie, or simply forget the all-important closing bracket in a JSON payload. AI systems need accountability, safeguards and oversight. But what should that look like? Human-in-the-loop (HITL) and its companion human-on-the-loop are in a nascent stage. These strategies, designed
Cada día, la IA toma decisiones que determinan vidas, industrias y el futuro. ¿Pero podemos confiar en esas decisiones? Las organizaciones están haciendo grandes inversiones en IA, y eso está cambiando la forma en la que se toman las decisiones. Pero sin resultados claros y un valor demostrado, invertir en
Generative AI has stormed into the enterprise toolkit. According to the IDC Data and AI Impact Report: The Trust Imperative, commissioned by SAS, eight in ten organizations are already using it. It’s become a social phenomenon, too. Many have used GenAI tools like Copilot and ChatGPT, talked about their prompts
