Effective, tailored user personas drive successful digital workspace strategies by discovering diverse staff needs, fostering innovation, and supporting flexibility.
Model Context Protocol (MCP) is a vital standard enabling AI agents to automate tasks in core enterprise systems, but requires immediate, strong governance for safe adoption.
AI governance isn’t a brake on progress; it’s a strategic enabler of ethical, scaled innovation, requiring a shift to use-case focus and universal literacy.
Boards and executives must ask targeted questions to bridge their AI knowledge gap, ensuring responsible adoption and effective governance.
Neo4j’s investment highlights graph technology’s critical role in practical AI, providing essential context to unlock efficiency gains from GenAI and ML.
Atlassian’s $610m browser acquisition is a high-stakes bet on secure, specialised AI productivity against free, embedded Microsoft/Google competition.
Modernising B2B contracts is key to value creation, shifting from time-and-materials to rewarding outcomes for sustainable, innovative partnerships.
Neo4j’s Infinigraph architecture unifies transactional and analytical workloads at scale, simplifying data ecosystems and enabling real-time insights for AI.
Microsoft is bundling its specific Copilots into the main M365 license, signaling a shift to specialised AI tools embedded in daily workflows.
