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
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.
Developing comprehensive security policies can be difficult. Use the IBRS service to quickly generate a tailored policy template, ready for customisation.
For Azure Virtual Desktop, executives must choose: fully outsourcing daily ops, or empowering internal teams with specialised management platforms.
Despite an unwavering focus on fundamental operational excellence, value delivery, and governance, senior ICT leaders are increasingly balancing immediate security and compliance needs with a strategic evaluation of emerging technologies like artificial intelligence and generative AI to drive future efficiency and organisational value.
Creative AI is evolving beyond manual prompting to programmatic, high-throughput image generation with enhanced governance and analytics features.
Google’s new AI tool, nano-banana, is a major step towards integrating generative AI directly into creative workflows, automating repetitive tasks and redefining productivity.
An ‘AI arms race’ in education is underway as Turnitin introduces AI humaniser detection. This highlights the need for pedagogical reform, not just technological solutions.
