As AI agents gain autonomy, who governs their actions? How do we ensure they align with human values, ethical standards, and legal frameworks? The urgency of governance for AI agents AI is no longer just a tool – it is becoming an actor in decision-making processes. From AI research assistants
AI is reshaping insurance – from streamlining underwriting and fraud detection to fighting climate risk.
In today's digital age, marketing technology (MarTech) plays a crucial role in how businesses engage with their customers. However, the success of truly contextual customer engagement hinges on one fundamental principle: trust. Building and maintaining customer trust is essential for long-term business success, as it fosters loyalty and contributes to
AI and automation – often referred to as hyperautomation – are evolving rapidly with industry experts emphasizing their increasing ability to operate independently and make intelligent decisions. By combining powerful generative AI with business expertise, organizations can accelerate and streamline their processes like never before. I recently sat down with Mayank
As AI agents gain autonomy, the ability to make informed, strategic decisions – at scale – becomes mission-critical. AI has evolved rapidly. We started with rule-based automation and then moved to machine learning models. Then 2023 was the year of ChatGPT, and 2024 was the year of multi-modal AI. We’re now
The world of data and AI is evolving at breakneck speed, with 2025 shaping into a year of breakthroughs and significant challenges. From AI model hallucinations to the role of synthetic data in innovation, industry leaders are grappling with complex issues that will shape the future of technology. I recently
The rise of digital banking, driven by tech-savvy consumers, has permanently transformed the financial services landscape. Both individuals and businesses now demand seamless, user-friendly experiences, to manage their finances effortlessly across multiple platforms. Generational shifts in expectations Younger generations, including Gen Z and Millennials, have distinct financial expectations compared to
Let’s talk about the must-attend event of the year: SAS Innovate 2025. It’s happening May 6-9 in Orlando, Florida and it’s not your average tech conference. Think groundbreaking innovation meets star-studded entertainment. Plus, a little nostalgia to keep things fun. Where else can you hear industry leaders lay out the
Ida B. Wells was a pioneer in the United States who used data collection and analysis methods well ahead of her time. Today, she might be called a data scientist, but I'll call her a boss! Her approach to documenting and analyzing lynchings back in the day (late 19th century)
Fast-paced technology like AI can have barriers to entry. Whether infrastructure, data limitations, talent gaps or complying with rapidly changing regulations. Organizations from health care to manufacturing and the public sector are often stymied by these obstacles that can slow AI adoption and use. Ready-made AI models can bypass the
Not too long ago, whenever I heard the word ‘hackathon,’ I thought of Wreck-It Ralph from the Disney movies. Ralph was a video game character tasked with wrecking buildings, while Fix-It Felix would repair them. In Wreck-It Ralph 2, Ralph broke the internet. I used to think hackathons were only
Can tattooing's artistry survive the emergence of generative AI (GenAI) innovation? And what lessons does this hold for other industries navigating the blend of creativity and technology? When I was in Florida during my winter break, I got a new tattoo. After some conversation back and forth about the ideas
Let’s face it – early AI rollouts have been anything but smooth. Standout examples include McDonald’s attempt at using AI to take drive-through orders, which caused customers to plead with the AI to quit adding Chicken McNuggets to their orders. Or, Amazon’s AI-powered HR recruitment tool, which favored male job
Learn how insurers can combat AI-driven fraud, secure data and build trust in an increasingly digital world.
Many scientists compare the universe to a network of tiny vibrating strings, smaller than subatomic particles. String theory suggests that these strings, as they twist and vibrate give rise to everything around us – matter, energy and even forces like gravity. But this idea of interconnected threads isn’t just confined
Failure accompanies all technological breakthroughs – the wheel, manned flight, the internet. AI is no exception. I know insurance companies are using AI – SAS research confirms it. 90% of insurers have budgeted for GenAI in 2025. I also know that only 1 in 10 insurers (11%) are fully “AI-prepared.”
AI is revolutionizing insurance by tackling talent gaps, boosting efficiency and driving innovation.
It seems like every day, there’s a new study or report about how AI, GenAI and machine learning will transform industries. For Georgia-Pacific, this isn’t forward-looking speculation. It’s our reality. When we look at the innovation investments Georgia-Pacific has in play, we’re predicting a nine-figure return. We see $100 million
The critical link between skills, AI and productivity Fifteen years ago, I would not have believed that my office would be phone-free or that meetings would be virtual, even with nearby colleagues. Today’s work environment would have seemed impossible back then. And as we look to the future – say
Building a digital fortress with modern data management In an era where stone walls and moats are relics of the past, the battleground has shifted to the digital realm. Since the first cyberattack in 1988, governments worldwide have been on high alert, fortifying their defenses against invisible intruders. The ultimate
Synthetic data has emerged as a powerful tool for overcoming the limitations of real-world data. The future holds great promise for accelerated innovation. With synthetic data, companies can now generate financial transactions, medical records or customer behavior patterns that maintain statistical relevance like real data. This emerging technology can help
Major global elections, volatile financial markets, extreme weather events, and sophisticated and costly cyberattacks are increasing operational risks across every industry. Generative AI (GenAI) is redefining how industries navigate this uncertainty and transforming potential risks into powerful opportunities. Organizations across industries are increasingly invested in GenAI – for instance, last
What does the path to a fully AI-integrated government look like? “Figure out where you want to be and then take the steps to get there.” I remember my dad giving me that advice when I was growing up, and I think about it now as I watch the unfolding
SAS' Mary Osborne, Ali Dixon Ricke, and Franklin Manchester break down what insurers still need to learn about generative AI.
The time is now for insurance companies to lead the way in addressing climate risk
With a new year around the corner, it’s time to start thinking about what tech trends are coming in the months ahead. 2025 will be interesting, because now that AI has been around long enough to go from novel to normal, we should stop marveling at what it can do
In 2012, Harvard Business Review declared the data scientist the sexiest job of the 21st century. Here’s what we knew at the time: big data was (and still is to this day) an enormous opportunity to make new discoveries. We were in the boom of user-generated content from social platforms,
At the very heart of the financial world lies a commodity so vast it’s almost immeasurable ... and it’s growing exponentially with potential yet unrealized. Big data – complex structured and unstructured datasets arriving from innumerable sources – is reshaping the global banking industry. Used effectively, big data can support the delivery
Many of us have fond memories of a Family Feud host saying, “And the survey says…!” as the game show’s answer board lit up, bringing joy or disappointment to the contestants. For some, the host who comes to mind is Richard Dawson or Ray Combs, while today’s fans likely think
As data decays, it becomes less useful. See how synthetic data for insurance can help.
