Generative AI has seen drastic improvement in image, video, audio, and text generation within the last few years. Humans, on the other hand, are still catching up on determining when it’s appropriate to use Generative AI and how to review the content generated by AI before sharing it with others.
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
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
Generative AI (GenAI) has seemingly permanently shifted the trajectory of enterprise strategy, offering a way to transform massive amounts of unstructured data into actionable, contextual intelligence. However, as organizations move past pilot projects and scale this technology, they run headfirst into a widening gap between the potential of AI and
Discover how to establish a foundation for success with AI in insurance.
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
SAS' new approach to MRM streamlines your compliance and review process by delivering real-time model reporting and statistical outputs.
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
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
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.
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
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
Leaders are increasingly preparing their organizations for the latest AI technology. The problem? They aren’t ready and struggle to implement and show ROI. Despite widespread recognition of AI’s potential, a critical trust gap has emerged in the enterprise landscape. A report by the Boston Consulting Group (BCG) reveals that 74%
Learn how parametric insurance works and why synthetic data could make models more accurate.
Generative AI is everywhere in the headlines, but for most organizations, the real challenge is making it work with their own knowledge base. That’s the focus for SAS and its long-time partner Pinnacle, who are applying retrieval-augmented generation (RAG) to put company data directly in the hands of employees, made
The banking industry is at a crossroads. With rising customer expectations, intense competition, ever-evolving regulations and mounting cost pressures, financial institutions must transform – or risk falling behind. Enter agentic AI, an advancement in artificial intelligence that’s poised to redefine how banks operate, serve, and grow. What is agentic AI?
“What’s in the box?” This question can come from a joyous child tearing into a nondescript package – or it can come from Brad Pitt’s infamous line in the crime thriller Seven. Most of the time, what’s in the box ends with smiles and laughter. In banking, though, the “box”
Generative AI (GenAI) has moved past its experimental phase. It is now deeply embedded in core business workflows, from sophisticated financial modeling and predictive analytics to dynamic content creation and strategic decision-making. This means the very definition of a “job-ready” professional has dramatically changed. Global surveys reveal the same trend:
A new report from MIT estimates 95% of AI projects will fail. That’s staggering. Corporate GenAI pilots are failing to deliver significant revenue growth or measurable impact. The primary issues are not the quality of AI models, but a “learning gap” and flawed enterprise integration. Recent findings from the SAS
Get inspired by a SAS Hackathon team that used AI and IoT to tackle heat stroke.
AI is transforming every industry, from automating insurance claims to optimizing supply chains in manufacturing. But for many organizations, the challenge isn’t whether to adopt AI; it’s how to start. This blog, the first in a two-part series, outlines the initial steps you can take to deliver a strong foundation for
We at SAS were proud to see Iain Brown, SAS Head of Data Science for Northern Europe and author of the book Mastering Marketing Data Science: A Comprehensive Guide for Today’s Marketers, recently acknowledged as one of the top 100 AI influencers on X/Twitter. (Number 36, not too shabby!) Iain
This guide explains how businesses can successfully implement generative AI by focusing on narrow use cases, curating data, leveraging AI agents, safeguarding sensitive information, monitoring for bias and toxicity, and ensuring model accuracy and relevancy.
Many of today’s fraudsters are figuring out how to use AI to automate and structure scams that are unique to each person they target. If fraudsters can analyze your data, learn your patterns, track your interests, and exploit who you trust – how can you combat them? According to SAS
I’m a credit card transactor – I pay off my balance in full each month and use credit purely as a payment method to avoid interest. Recently, a major payment processor experienced an outage that disrupted many money movement services. As a result, my scheduled electronic payment was converted into
Call it what you want – an arms race, a land grab, a gold rush – but AI is now the centerpiece of most business strategies. Executives aren’t just curious about AI anymore; they are positioning their organizations for the technology's future. The problem? Most organizations aren’t ready. Even as
My car dealer knows me. I bought a car from a family-owned dealership 20 years ago and never left. Why? They know my car type, my preferences and what I need before I do. Every visit is frictionless, letting me focus on what I enjoy most (which, frankly, isn’t car
Ask most people what gives AI its edge and they'll likely point to speed, automation or the aura of generative AI tools. But according to experts at SAS Innovate 2025, AI's real competitive advantage isn’t the algorithm – it’s the ability to use it responsibly to make trusted, faster, better decisions. As
The digital marketing landscape demands increasingly sophisticated audience targeting, yet many organizations struggle with the technical complexity of creating precise audience segments. The integration between SAS Customer Intelligence 360 and Amazon Bedrock is fundamentally changing how marketers approach audience creation through the power of generative AI (GenAI) and natural language
For the 12th annual SAS NC State College of Design project, students used generative AI within B2B products in varying industries. The annual NC State Design Day came back for its 12th year. Like many years before, the future designers brought their "A game" to SAS world headquarters, showcasing innovative
