Food assistance programs like SNAP are lifelines for millions of households. Yet, ensuring their accuracy is an ongoing challenge for state agencies managing them. Even small errors in eligibility decisions can quickly add up, costing states billions, straining resources and undermining trust in the program. The question isn’t whether these
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
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
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
As more organizations migrate work to the cloud, the conversation is moving from infrastructure requirements to the impact of cloud technologies. Organizations can see the benefits. IT teams are being freed up to focus on innovation and high-return projects. According to Gartner, cloud computing is a must for capitalizing on
Walk into any Southeast SAS User Group (SESUG) event and you’ll quickly realize it’s not just about the software. Yes, there are technical sessions, coding workshops and deep dives into data visualization. But what makes the conference resonate year after year isn’t simply the tools, it’s the people and the
Reinforcement learning is a framework that allows AI systems to learn from experience and make decisions in dynamic environments. One way to explore its potential is by training an AI agent to play a video game in real time. This controlled environment demonstrates principles that apply to everyday business challenges.
Globally, health care is undergoing a transformation driven by the rapid aging of populations. By 2034, one in five Americans will be aged 65 or older, surpassing the number of children for the first time in U.S. history. This demographic shift brings new opportunities and new challenges for our health
Iowa’s Pleasant Valley School District faced a challenge familiar to many educators: mountains of student data, but limited insight into what it all meant. Ranked in the top 15% of districts statewide, Pleasant Valley knew it was succeeding – but it wanted to understand exactly why and how to do
Leading brands like Macy’s prioritize creating meaningful, personalized customer experiences driven by data and thoughtfully orchestrated marketing decisions. Macy’s focus centers on customer obsession, which fuels its drive for customer loyalty and sustainable growth. Marketing analytics and AI serve as the foundation for a successful marketing decisioning journey underpinned by
