AI & RoboticsNews

AI agents are hitting a liability wall. Mixus has a plan to overcome it using human overseers on high-risk workflows

While enterprises face the challenges of deploying AI agents in critical applications, a new, more pragmatic model is emerging that puts humans back in control as a strategic safeguard against AI failure. One such example is Mixus, a platform that uses a “colleague-in-the-loop” approach to make AI agents reliable for mission-critical work. This approach is a response to the growing evidence…
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AI & RoboticsNews

Walmart cracks enterprise AI at scale: Thousands of use cases, one framework

Walmart continues to make strides in cracking the code on deploying agentic AI at enterprise scale. Their secret? Treating trust as an engineering requirement, not some compliance checkbox you tick at the end. During the “Trust in the Algorithm: How Walmart’s Agentic AI Is Redefining Consumer Confidence and Retail Leadership” session at VB Transform 2025, Walmart’s VP of Emerging…
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AI & RoboticsNews

Boston Consulting Group: To unlock enterprise AI value, start with the data you’ve been ignoring

When building enterprise AI, some companies are finding the hardest part is sometimes deciding what to build and how to address the various processes involved. Organizations are dealing with the pain of thinking through how tech intersects with people, processes and design, said Braden Holstege, managing director and partner at Boston Consulting Group. He added that companies need to think about a…
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AI & RoboticsNews

‘Sandbox first’: Andrew Ng’s blueprint for accelerating enterprise AI innovation

Enterprises may be concerned about the impact of AI applications when put into production, but hampering these projects with guardrails at the onset could slow innovation. Andrew Ng, founder of DeepLearning AI and one of the most prominent figures in AI development, emphasized the importance of observability and guardrails in AI development during a fireside chat at VB Transform today. However, he…
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