
How to maximise AI project success
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.
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.
Inside Lenovo’s technological drive towards true customer centrality.
Over four years, Mars has instilled a culture of user centric design and agile sprint delivery.
Delphix’s Sanjeev Sharma says companies are still falling short with their data work
How Deutsche Telekom IT maintained its digital transformation momentum during a global lockdown
Internationally renowned data scientist Anthony Scriffignano on the need to make AI investments with humility, pragmatic realism, and a readiness to persevere.
Sisense’s Scott Castle explains how business leaders can become truly data-driven
Thor Jørgensen and Steen Kronborg tell Digital Bulletin how Danish retail giant Salling Group successfully built its first grocery home delivery service at turbo-speed during COVID-19.
This month Ben, Rom and James discuss the coronavirus’ impact on Mobile World Congress and the technology industry as a whole. The panel also revisit our Lenovo case study and hear from Aptum Technologies CEO Susan Bowen about her experience of being elected to the Forbes Technology Council.
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.