Agent-based AI impresses in demos, but many applications often fail in live operation because, for example, latency is too high or the systems are too complex. This shows that, in practice, it is less ...

Business models don’t evolve by accident. At Salesforce Inc., operational discipline and strategic clarity are shaping a new chapter driven by automation and agent-based systems. Customer demand for ...

As agentic AI and autonomous agents trend in 2026, enterprises face a major new hurdle: standard IAM stacks aren't built to ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Overview: LangGraph currently leads advanced AI workflow development with strong memory and execution control.CrewAI and ...

Parcel Tracker has launched its AI-native logistics platform, marking the company’s evolution from traditional parcel logging software to an intelligent, agent-based system designed to automate ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent enterprise systems? We asked the experts. Agentic AI has emerged as the ...

Close-up on the pipetting arm of a robot; some hydraulics and the top of a 96-well plate are also visible. A pipetting robot handles liquid in a laboratory in 2023. Researchers developing autonomous ...

In today's business environment, characterized by rapid technological evolution, application modernization has become an essential strategic step to ensure the competitiveness and efficiency of ...