
The AI era is transitioning from simple request-response chat interfaces to sophisticated, agentic systems capable of reasoning, taking action, and maintaining persistent state across organizational workflows. This shift centers on agentic applications that integrate deep context from internal data sources, such as Microsoft’s WorkIQ and Foundry platforms, to drive outcomes like medical research or enhanced fan engagement in sports. Beyond the technology, successful implementation requires a fundamental cultural shift, as leaders from Telstra and Westpac emphasize that AI adoption is primarily a people-centric challenge. Organizations must prioritize employee upskilling, establish robust governance and security frameworks, and foster an environment where teams are encouraged to experiment. By leveraging private benchmarks and sovereign data control, companies can transform tacit institutional knowledge into unique competitive advantages, moving beyond experimentation into large-scale, value-driven transformation.
Sign in to continue reading, translating and more.
Continue