When deployed as a supporting layer, distributed ledger technology can introduce a verifiable record that strengthens traceability across systems.
While the availability of AI tools has removed barriers to entry, it has also increased the risk of misalignment.
To generate real impact from AI, leaders must first take a counterintuitive step: unbundling work to understand where AI can add the most value.
Every time an enterprise deploys AI on infrastructure it does not own, it exposes operational data to external platforms and renews that dependency.
If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else’s issue to solve after the demo.
The failure is not in the technology. It is in the operating model surrounding it, and it shows up in three interconnected places.
Over decades and across industries, I’ve seen two playbooks deliver results.
Embracing agentic AI requires a complete rewrite of the enterprise playbook.
Jabra has announced three new headsets for its Evolve3 range. The new headsets provide in-call ANC with Sidetone and audio optimised for AI collaboration tools.
Women-specific conditions have historically generated far less structured data than those taken from men.