Oracle streamlines OCI and embeds AI across all products, enabling hybrid cloud options and unlocking data-driven business intelligence for users.
Google Cloud’s Gemini Enterprise elevates existing Gemini capabilities, moving beyond basic prompt-based AI to focus on agentic AI for measurable business value. This shift is Google’s strategy to monetise AI by enabling semi-autonomous services that directly leverage business data, overcoming initial market resistance to proving productivity gains from simple AI adoption
Salesforce’s Agentforce signals conversational AI is the ‘final mile’ in IT support automation, freeing up human staff for complex work.
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.
End-user testing is crucial; it guarantees new systems truly meet user needs, enabling a smoother operational handover via service desk and project team collaboration.
Acquisitions like Workday-Paradox risk fragmenting HCM with new data silos, demanding unified AI governance and local compliance scrutiny.
Neo4j’s investment highlights graph technology’s critical role in practical AI, providing essential context to unlock efficiency gains from GenAI and ML.
AWS’s New Zealand region is essential expansion, yet broader investment shifts toward high-risk, high-reward AI infrastructure will affect core cloud services.
Atlassian’s $610m browser acquisition is a high-stakes bet on secure, specialised AI productivity against free, embedded Microsoft/Google competition.
