Official company update
What Is Context Engineering and Why Business AI Needs It
Publisher preview
Describe your idea — get a budget breakdown in minutes. Lenovo’s 2026 CIO Playbook, with research by IDC, found that 46% of AI proofs of concept (PoCs) have progressed into production, so just over half have not. Many tools that work well in testing start failing when used in real-world conditions. Data is a persistent obstacle: a Gartner survey lists data availability and quality among the top barriers to AI adoption. Even if your AI PoC or pilot handles demo questions well, it can perform much worse with real documents, real users, and a distributed, inconsistent company knowledge base. It doesn’t necessarily mean that AI models are degrading. More likely, they’re just struggling to find the right information when someone asks.
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Current roles
4
30-day current-market scope
Company stories · 30d
10
10 official · 0 independent
Attention records · 7d
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Open roles
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Technical roles
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Vacancy history
Current role mix
3 technical · 1 other
75% of currently observed roles are technical.
Vacancy history uses saved daily snapshots through 2026-11-02. News counts are dated publications; attention counts are matched records, not search volume or prediction probabilities.