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.
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.
