Struggling with metadata is nothing new, but there's a misconception that advanced data tech and cloud storage solved this problem. That's not the case - so what is the way forward?
Starting a digital transformation project should be about the 'why' and the 'how', not the buzzwords. Sanjay Brahmawar of Software AG shares three key ways to make it work
Re-inventing the flywheel - how Walmart plans to transform retail as the COVID e-commerce boom slows down
It's time for Walmart to get started on what comes next as the world's largest retailer ramps up its e-commerce ambitions and eyes up new revenue opportunities.
Thoughts on things for CIOs to think about from Dell Technologies Global CTO, from quantum computing to 5G subplots.
Celonis is pitching a way of delivering exponential value. What is that telling us about our enterprise systems landscapes?
COVID has led to an acceleration of digital transformation efforts, but that has implications for planning ahead, says Salesforce's Peter Coffee.
Bed, Bath & Beyond furnishes its $250 million omni-channel transformation with a Google and Oracle cloud mix
Bed, Bath & Beyond was already committed to Google and now it's added Oracle ERP to its cloud mix as a pivotal year gets underway for the retailer's omni-channel transformation plans.
Artificial intelligence can augment our working lives if it is introduced carefully and people are re-skilled to take advantage of their benefits.
Cloud data warehouses aren't trendy enough - now we evidently need data lakehouses as well. But how should enterprises sort these terms? And has the data lake outlived its usefulness?
Enterprise hits and misses - taking stock of AI in retail, Black History Month's tech voices, and the COVID-19 data challenge
This week - AI in retail gets realistic; Black History Month brings needed scrutiny to diversity in tech. COVID-19's data challenges get a tech boost, and Google makes enterprise moves. Your whiffs include Amazon's (lack of) employee experience, and my no-blockchain show rule.
Most of us have heard of cognitive bias - and the problem it can pose. Less well known is the practice of moral licensing. But it's an issue AI teams need to consider.
While AI may offer the “biggest wealth opportunity of our lifetime”, the big question is will that wealth be limited to the technically-savvy and well-educated?