Generative AI will revolutionise how businesses handle data, offering natural language interfaces for queries and merging data and information governance.
Regardless of their current data maturity levels, enterprises often encounter challenges in fully engaging their entire workforce in data-driven decision-making. Senior executives are seeking ways to effectively leverage generative AI to implement enterprise-wide business intelligence, enabling every team to access real-time operational data and derive actionable insights.
AI video tools, like early desktop publishing, offer huge potential, but smart adoption needs a clear strategy, skilled people, and pilot programmes to ensure real business value.
Most artificial intelligence proof-of-concepts fail in production due to underestimated costs, dynamic data issues, governance, and integration challenges. Tackle these early for success.
Salesforce’s Agentforce 3.0 offers new observability for AI agents, but deeper, end-to-end workflow visibility is needed for complex multi-agent systems.
Salesforce’s new AI pricing offers clear costs per action, but expect AI expenses to jump as vendors stop loss-leading and orchestration grows.
Microsoft’s Azure expansion in Perth will cut latency and boost resilience for WA and ASEAN customers, enabling local hosting of critical workloads, especially for the public and resources sectors.
Microsoft’s new AI security tools, like Entra Agent ID, aim to embed security into AI agent development, tackling risks like prompt injection and data poisoning head-on.
Google’s universal AI assistant aims for proactive, personalised support via a world model and live capabilities, but caution is advised on its reasoning claims.
