In this episode, Justin Johnson, co-founder of World Labs, joins us to discuss world models and the emerging field of spatial AI. We explore why many researchers see capabilities beyond language as an important frontier for AI, and what it means to build models that can understand, generate, and simulate the environments around them. Justin explains the different approaches to world modeling,...

Reading Time: 3 minutesAs a VMware Kubernetes Ecosystem Partner, we are pleased to announce the release of the TIBCO Platform VKS reference architecture, designed to help TIBCO customers get started with TIBCO Platform on VMware VKS. The reference architecture explores how TIBCO Platform can be deployed and validated on VMware vSphere Kubernetes Service as part of VMware Cloud […] The...

Large B2B operations keep running order entry, invoicing, and other repetitive back-office workflows by hand, years after most companies started investing heavily in AI. In this episode, Chris Bradley, Chief Marketing Officer and Head of AI Transformation at Veritiv, breaks down why legacy systems have kept agentic AI out of these workflows, and what changed once Veritiv began automating a...

Proprietary models are amazing! But sometimes what is of importance is configurability rather than raw power. This has led to the emergence of locally hosted models.  The Mac mini has emerged as a surprisingly capable machine for running AI locally. With Apple Silicon, enough unified memory, and tools like Ollama and LM Studio, users can now run capable models entirely on-device.  But...

“It’s not a technology problem. It’s a process problem.” “It’s not an accuracy issue. It’s an adoption issue.” “It’s not the model. It’s the human.” Sound familiar? I hear these arguments all the time. But here’s the reality: generative AI has an accuracy problem. In fact, it is well documented [...] The post Stop saying AI isn’t a technology problem appeared first on SAS Blogs.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. By now you’ve probably heard about last month’s major AI security incident, in which OpenAI agents escaped their sandbox and hacked into the AI platform Hugging Face while trying to cheat on…

Industrial environments run on a different set of constraints than the typical enterprise office — physical risk, standalone factory sites, and workflows where a fragmented handoff can cost time, quality, or worse. ​ In this episode, Scot Burdette, Global CIO of Measurement & Analytics at ABB, examines why industrial AI has to be built around knowledge capture, human-in-the-loop...

Most marketing teams are using AI to do the same work faster. That, says Liza Adams, is the wrong goal. Doing things differently is where growth happens.

Run the same analysis on the same data. You should get the same result. Every time. In clinical research, that simply isn’t a best practice. It’s a regulatory expectation. Yet, a surprising number of clinical research teams still rely on individual analysts, local computing environments and manual documentation to ensure [...] The post Why consistent reproducibility can't be optional in...

You don’t need to know anything about AI automation to get started. There are plenty of free courses that can take you from the basics to building your own automations, even if you’re starting from zero. Some are completely beginner-friendly, while others are better once you’re comfortable with the basics. We’ve picked courses covering popular […] The post Top 7 Free AI Automation...