
The CDO’s unfiltered playbook: 5 lessons for AI at scale
Danijel Stankovic shares five essential lessons for scaling AI successfully, from workforce augmentation and data governance to C-Suite ownership and building a fail-fast, learning culture.

Danijel Stankovic shares five essential lessons for scaling AI successfully, from workforce augmentation and data governance to C-Suite ownership and building a fail-fast, learning culture.

In the midst of AI hype, businesses must pragmatically assess and adopt solutions that deliver tangible value. Danijel Stankovic outlines a framework to identify, prioritise, and evaluate AI opportunities for meaningful impact.

One of the biggest telcos in the UK has just rebuilt its entire IT infrastructure in less than a year. Here’s how.

Chief Data Architect & Global Head of Engineering Harveer Singh speaks to Digital Bulletin.

After 20 years at IBM, Simon Bennett is relishing his new job as Rackspace’s Chief Technical Officer for EMEA

NTT Data’s Simon Driscoll on AI’s data problem and a global drive to secure its ethics

The data centre is known for its manual, repetitive tasks – and it’s time to put a stop to this, writes Druva’s W. Curtis Preston

A panel of experts discuss the technology trends set to occupy CIOs in primary industries, including mining and energy generation.

This month, Ben, Rom and James discuss Sundar Pichai’s red-faced moment while on a call with Thierry Breton, along with the main themes of Europe v Big Tech. The trio also review our Lebara case study, while Ben interviews Anna Chung, a cyber threat research analyst.

In this episode, BT’s Leigh Feaviour tackles ‘robotics’, ‘blockchain’, ‘digital disruption’ and more.

Danijel Stankovic shares five essential lessons for scaling AI successfully, from workforce augmentation and data governance to C-Suite ownership and building a fail-fast, learning culture.

In the midst of AI hype, businesses must pragmatically assess and adopt solutions that deliver tangible value. Danijel Stankovic outlines a framework to identify, prioritise, and evaluate AI opportunities for meaningful impact.