Quality and efficiency soar with agentic AI for claims
From intake to settlement, agentic AI can create notable improvements in insurance claims processing.
Tag: 2026 trends
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
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,
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
Revitalizing public health surveillance systems with AI
As we wrap up 2025, subject matter experts across SAS have been thinking ahead to 2026 and how we might see AI evolve in the public sector over the next 12 months. Recently, we released a compilation of public sector AI predictions, including mine: AI-led extraction and entity resolution will
Leading with trust: The new playbook for AI-driven marketing
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
Using LLMs to create synthetic data and tangible progress in the public sector
People are starting to compile resolutions for the new year, focusing on evolving their own habits and goals. At SAS, we’ve also looked toward 2026 to gather predictions on how AI in the public sector might evolve over the next 12 months. Prediction: By 2026, governments will utilize large language
Bringing GenAI to industrial IoT: Why context is the missing piece
As companies rush to adopt GenAI, one question keeps coming up: How do we make all this intelligence useful on the plant floor? SAS Vice President of IoT Jason Mann and Jobi George, Global VP of Business Development at Weaviate, discussed how vector databases and retrieval-augmented generation (RAG) are enabling manufacturers
The year of the AI audit: When the fines start to bite
For years, “responsible AI” has lived comfortably as a corporate promise, a slide in a presentation, a talking point at a conference. But as the EU AI Act phases into force, that comfort is rapidly eroding. The regulation officially entered into force on August 1, 2024, but its obligations will
The future of trust: AI is powering a new era in banking fraud detection
Digital banking has made convenience the norm, but it’s also made fraud inevitable. The accelerating pace of digital transactions – real-time payments, mobile banking, embedded finance – creates new opportunities for innovation and opens the door to more sophisticated fraud. This is where AI steps in. Not just as a
The AI paradox: A path to success – and failure
Discover how to establish a foundation for success with AI in insurance.
Agentic AI is the fix for communication breakdowns in health care payment integrity
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,
Reflecting on responsible innovation: A defining moment
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
Maturing public sector AI to combat fraud, waste and abuse
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
How AI and IoT are powering the next wave of health care delivery
Health care is entering a new era, one that moves closer to where people live. By 2026, the traditional model of care, centered around hospitals and clinics, is giving way to a more decentralized, patient-centric approach. This shift is driven by three converging forces: rising costs, evolving patient expectations and
You’ve got scale: The past, present and future of phishing’s evolution
Hackers have a major milestone to celebrate this year as the phishing attack turns 30 years old. Phishing attacks can be traced back to the 90s, coinciding with the popularity of America Online (AOL). For those too young to remember, AOL was an early internet service provider that revolutionized the
Quantum computing: Standing at the edge of the next AI revolution
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
Predicting the future of AI and smarter manufacturing
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
What’s next after zero-click search? It’s agentic
Recently, AOL discontinued the dial-up tone synonymous with the internet. After 34 years, we will no longer hear the mechanical screech of connecting to the World Wide Web. Nostalgia notwithstanding, this news gives me pause to contemplate what my children will see sunset in their lifetimes. Consider Google today. A
Choose your own adventure: Business edition
Our daily lives are constructed from a continuous series of choices; some small, some big, some connected, many unrelated. These choices are intentional decisions we make to steer ourselves towards our goals (or away from potential pitfalls). Organizations do this, too, although how and by whom is often unclear. As
How to measure AI ROI in 2026
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
The risks of AI agents: Lessons from autonomous vehicles
Would you trust a car to make a life-or-death decision for you? That’s the kind of question that sits at the heart of AI today. As AI rapidly becomes a part of our everyday lives, from smart assistants to AI agents, it’s easy to get swept up in the excitement.
What happens when machine learning meets credit ratings?
A new study spanning more than two decades and more than 500,000 issuer-months presents one of the most accurate and forward-looking models of corporate credit rating transitions to date. By combining machine learning with the SAS® KRIS® 1-year default probability (KDP), the authors show how investors can gain a powerful
The real AI advantage is trust
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
The new era of procurement starts with agentic AI
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
AI engineering: The discipline that will shape the future
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
We trust GenAI – but should we?
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
What should governments know about AI agents and agentic AI?
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
Could synthetic data be the catalyst for the future of credit scoring?
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.
AI governance isn’t a constraint — it’s your competitive advantage
I've seen firsthand how companies often treat AI governance as a necessary evil – something bolted on after innovation, like installing smoke detectors in a finished building. As both a data scientist building models and an advocate pushing for responsible AI practices, I experienced this dynamic daily. The companies winning