Oracle’s vision: AI-as-a-Service built into OCI and applications will drive productivity, minimise customisation, and secure business outcomes.
CustomGPT.ai’s new visual processing allows AI agents to incorporate images (diagrams, screenshots) as visual citations into responses, leveraging existing multimodal large language model (LLM) technology.
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.
Acquisitions like Workday-Paradox risk fragmenting HCM with new data silos, demanding unified AI governance and local compliance scrutiny.
ServiceNow has announced the release of AI Experience, a unified interface that will span the entire ServiceNow platform and seek to position it as the unified orchestration layer for enterprise AI.
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.
