
Aligning AI adoption with business objectives: A path to success
Aligning AI adoption with business goals is crucial for maximizing ROI, requiring robust data infrastructure and integration to enhance operational efficiency and drive innovation.
Aligning AI adoption with business goals is crucial for maximizing ROI, requiring robust data infrastructure and integration to enhance operational efficiency and drive innovation.
Chief Data Architect & Global Head of Engineering Harveer Singh speaks to Digital Bulletin.
Inside Lenovo’s technological drive towards true customer centrality.
Automation strategies will succeed only in the right culture, says ABBYY’s Neil Murphy
Michel Spruijt, VP & GM, Brain Corp on what it takes to develop a 10,000-strong robotics fleet.
Data centralisation and automation are vital for effective AI. Without strong data foundations, companies risk underperformance, missed opportunities, and costly, error-prone decision-making.
Ted McHugh, Senior Director Analyst at Gartner, outlines three key steps for closing the cloud operations gap: clarifying roles, addressing the skills gap, and engaging stakeholders.
The Digital Bulletin Podcast series designed to bust the buzzwords that dominate the business technology world. In this episode, Verizon’s Craig Palmer tackles the likes of ‘omnichannel’, ‘customer centricity’ and ‘digital transformation’.
In this episode, Norfolk County Council’s Chief Technical Officer Kurt Frary digs in on ‘digital disruption’, ‘DevOps’, ‘augmented reality’ and more.
Aligning AI adoption with business goals is crucial for maximizing ROI, requiring robust data infrastructure and integration to enhance operational efficiency and drive innovation.