Adam Lieberman, Chief AI Officer at Finastra, explains how Model Context Protocols (MCPs) connect AI systems and applications securely, unlocking innovation, automation, and new business possibilities.
To maximise AI project success, define clear goals, secure data access, embrace iterative learning, and don’t fear pausing or pivoting when needed—progress comes from persistence.
Everything is about to change. Bain & Company, alongside Workato and Skan AI, help us understand how to prepare.
The team at North Caspian Operating Company takes us behind the scenes of its new innovative initiatives.
Aerohive Networks’ Roy Verboeket answers questions about the growth of cloud networking
Without effective DataOps, CIOs will struggle to justify their digital investments, according to Hitachi Vantara’s Jonathan Bowl
Responsible custodianship of customer data should now be a priority for businesses, says Informatica’s Greg Hanson
Operational sovereignty is now critical as organisations face geopolitical instability, regulatory pressure and infrastructure disruption while striving to maintain resilience, compliance and control over digital operations.
Telefónica Spain’s Javier Magdalena Pinilla talks us through the company’s bold programme of automation
This month Ben, Rom and James talk coronavirus and how it’s changing the way we work, how the outbreak is testing healthcare infrastructures and why it’s putting new demands on Silicon Valley. The trio also discuss our Thames Water case study and hear from Richard Brown, CTO of enterprise blockchain firm R3.
Adam Lieberman, Chief AI Officer at Finastra, explains how Model Context Protocols (MCPs) connect AI systems and applications securely, unlocking innovation, automation, and new business possibilities.
To maximise AI project success, define clear goals, secure data access, embrace iterative learning, and don’t fear pausing or pivoting when needed—progress comes from persistence.
