Meta’s Muse is less important as another shopping interface than as a signal that AI agents are moving from recommendation into execution. The enterprise issue is therefore not whether Muse wins, but whether businesses can expose trusted data, APIs, identity, payments and service workflows to software acting on a customer’s behalf. META MUSE: FROM ASSISTANT… Read more »
Enterprise AI keeps stalling at the last mile. Forward Deployed Engineering is emerging as an answer to that problem – and increasingly looks like a new operating model, not just a hiring fad. This market insight brings together market research on AI deployment, talent and managed services to assess what the shift could mean for… Read more »
The next cybersecurity platform is not another dashboard. It is a continuously learning decision-and-action layer that understands the enterprise, predicts the attacker’s next move and contains risk at machine speed with humans still accountable for the outcome. Competitive edge now lies in governed, context-aware action at machine speed. This market research examines the shift through… Read more »
More pilots. More copilots. More AI agents. Yet value still lags adoption. Governance, skills, data, legacy systems and regulation – not model access – are becoming the real barriers to scale. The next phase of AI will be defined by how well enterprises can govern, integrate and operationalize it. THE WARNING SIGN: AI ENTHUSIASM IS… Read more »
In the space of eight days in May 2026, both OpenAI and Anthropic launched PE-backed enterprise AI services entities, acquired implementation firms, and moved into territory long owned by management consultants and system integrators. This is not pure co-existence, and it is not wholesale replacement – it is segmentation: the labs are competing for the… Read more »
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