San Francisco-based platform, Bland AI replaces traditional call centers with self-hosted, enterprise-grade voice agents ...

One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the ...

Enterprise IT Infrastructure and Operations (I&O) teams are entering 2026 facing a fundamental shift in expectations. The ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...

What it takes to operationalize entities and schema across large organizations, without breaking governance or increasing ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Shifting from engineering to architecture — Focusing solely on building better AI models and engineering solutions leads to isolated, non-reusable outputs. Instead, organizations should build AI into ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...

End-of-life devices remain a pervasive security concern in the enterprise, as do poorly segmented networks, unpatched systems, and visibility gaps, according to recent telemetry reports. The extent to ...

Cisco has embarked on a plan to modernise its campus, branch and industrial networks for the artificial intelligence (AI) era. Cisco believes the new products can simplify operations, scale for ...

When Donald Trump abruptly demolished the White House’s East Wing last month, he shattered a culture of consultation with experts that has shaped Washington’s architecture for 125 years—since the last ...