As third-party cookies lose their grip on digital marketing and privacy regulations tighten, marketers haven't lost data; ...

AI agents have become remarkably good at demonstrations. The harder challenge begins after deployment, when workflows break because a model changes behavior, an API shifts, or an orchestration layer ...

As the global race for artificial intelligence intensifies, how can India use this emerging technology to maximise the ...

Mobile messaging apps now sit at the center of how billions of people communicate. WhatsApp passed 3.3 billion monthly ...

In the next wave of healthcare AI, differentiation will turn less on model sophistication and more on the quality and ...

Collaboration aims to tackle one of autonomous vehicle industry’s biggest challenges, namely proving how systems make ...

Durable workflow engine Obelisk argues a SQLite file plus Litestream backup can replace Amazon SQS and RabbitMQ for AI agent workflows and tenant-isolated pipelines. The open-source, pre-release ...

Enterprises cannot secure AI agents by making the underlying models more robust and must instead enforce security controls at the system level around them, researchers behind a paper published this ...

AI makes costly mistakes, but combining it with humans and software can help avoid them.

Vertical AI agents for intake, revenue operations, and coaching. Privilege enforced at the protocol layer. COLORADO SPRINGS, Colo.--(BUSINESS WIRE)-- ...

Merck cut a drug discovery cycle by 33% and ships compliant marketing 80% faster. Mastercard is rethinking fraud disputes.

AI agents can only find, recommend and route customers to retail locations that exist within the foundational entity data powering those agents.