#AI agents

#AI agents

The system combines an ontology model, semantic models, and AI agents to convert business data into real-time decision-making. According to Microsoft, organizations are drowning in data without understanding the semantics. For example, an airline does not think in terms of tables and schedules, but in terms of flights, passengers, and delays. However, that meaning lives in people's minds. Teams use their own definitions and reports. AI systems can read data, but they lack the business context to make reliable decisions.

Salesforce has completed its acquisition of Informatica. The CRM provider paid more than $8 billion (€6.9 billion) for the data management company. The acquisition is intended to lay the foundation for reliable AI agents within the Salesforce ecosystem. The completion brings Informatica's data catalog, integration tools, and governance services to the Salesforce platform. CEO Marc Benioff emphasizes the importance of this step: "You have to get your data right to get your AI right. Data and context is the true fuel of Agentforce."

The US insurance industry faces a compounding crisis: the Bureau of Labor Statistics projects nearly 400,000 workers will leave through attrition by 2026, while claim volumes continue rising and operational complexity deepens. This staffing shortage hits third-party administrators particularly hard, as TPAs depend entirely on adjuster capacity to process claims, coordinate repairs, and manage the full lifecycle from intake to resolution.

Amazon sued a prominent artificial intelligence startup on Tuesday over a shopping feature in the company's browser, which can automate placing orders for users. Amazon accused Perplexity AI of covertly accessing customer accounts and disguising AI activity as human browsing. Perplexity's misconduct must end, Amazon's lawyers wrote. Perplexity is not allowed to go where it has been expressly told it cannot; that Perplexity's trespass involves code rather than a lockpick makes it no less unlawful.

That work started about a year ago when Lamaa and his team began pulling together and standardizing its data sources into a single customer data platform. It's no small task for a company that sits on everything from subscription and audience data to e-commerce signals. Think of it as building the brain that will eventually power Immediate Media's wider AI ambitions.

Last fall, Salesforce debuted an AI agent so remarkably human-like it seemed like a vision from the future. In a sleek demo, the company showed how luxury retailer Saks Fifth Avenue was using Salesforce's new flagship AI software Agentforce to create "Sophie," a charming, patient customer service representative. A Salesforce executive dialed a Saks hotline, the chipper-voiced Sophie picked up, and then deftly recommended a sweater based on his order history and talked through shipping options.

Mbodi wants to make training robots easier and quicker with the help of AI agents. The company will be showcasing this tech as one of the Top 20 Startup Battlefield finalists at TechCrunch Disrupt 2025. New York-based Mbodi built a cloud-to-edge system, a hybrid computing system using both cloud and local compute, that is designed to integrate into existing robotic tech stacks. The software relies on a multitude of AI agents that communicate with each other to gather the needed information to help a robot learn a task faster.

When AI is a bubble, and talking about AI being a bubble is a bubble ... what do you do? Right, you start talking about AI agents. And AI... agentic... what does it matter? Once you put out a new message, you quickly find a small group of people most likely to respond. You harvest that group fast, performance drops, you change the message, find a new cohort, repeat.

Imagine an always-on learning partner that knows what you don't, nudges you at just the right moment, and turns busy work into bite-sized growth. That's the promise of learning co-pilots-intelligent AI agents embedded into daily workflows to guide, teach, and coach employees at scale. Not a replacement for instructors or mentors, these co-pilots augment human capability: they make learning contextual, timely, and measurable.