Sweet explains why leaders must understand AI, why companies should fix broken processes before investing in advanced models, and why she’s doubling down on entry-level hiring even as automation ...

The biggest challenge for agentic AI adoption is the lack of standardization and good practices, both shared and verified.

When revenue systems aren’t built on shared definitions, clean inputs and cross-functional alignment, AI doesn’t create leverage. In fact, it amplifies confusion.

Rising power demands threaten AI progress, driving the need for smarter, leaner models.

Agoda CTO Idan Zalzberg says engineers now spend more time reviewing AI output and guiding how AI tools are used.

Generative AI may be old news, but for those who have lost their jobs because of it, the technology is creating fresh wounds. In the customer experience industry, job loss due to AI could be ...

This race for infrastructure modernisation in the face of AI sees containers become an even more central and core component of enterprise application strategy. Almost all (85% of respondents) have ...

AI accelerates execution, but human leaders need to define purpose, judgment, trust and accountability. Effective AI leadership balances innovation with ethics, transparency, workforce empowerment and ...

Moving from cutting-edge pilot programs to real-world production is turning out to be harder than many companies thought. AI assistants and more advanced agent-based tools are gaining visibility in ...

The AI impact on jobs in 2026 is often framed as a replacement story, but the reality looks more balanced and far less dramatic. Most roles aren't disappearing overnight; instead, specific tasks ...

AI fintech startup chooses Arango to help hedge funds and asset managers analyze complex market relationships with speed, transparency, and auditability. SAN FRANCISCO & COLOGNE, Germany--(BUSINESS ...