Why you’re not deploying AI

Imagine the following scenario. A (sizable) team at a large company writes customer documents in response to customer requests. They request help from the automation team to reduce their repetitive tasks. The automation team brings in an AI company, which develops an ML model that generates the customer documents automatically and virtually eliminates the need … Read moreWhy you’re not deploying AI

Digital business: automated at heart

Digitalization is fundamentally enabled by three core technologies: software, data and artificial intelligence. The common denominator, which is inherent in a digitalized business, is that automation is at the heart of it. Digital technologies allow for automation to a much more significant extent than traditional technologies. We see this reflected in companies: whereas in traditional … Read moreDigital business: automated at heart

Don’t be like everyone else

This week, I had a wonderful conversation with the CEO of a midsized company (around 1,000 employees) to discuss business strategy and the implications on technology strategy in the overall context of digitalization. As the company supports its customers with digital solutions, it’s an example of the part of the economy that’s doing really well … Read moreDon’t be like everyone else

What’s with all the Ops?

DevOps, DataOps, MLOps – the number of different “Ops” combinations seems to have exploded over the last year or so. There are manifestos, meetups, lots of blog posts and research articles about these various approaches. In order to get clear on terminology, I think it’s good to define what we’re talking about. So, first, DevOps … Read moreWhat’s with all the Ops?

AI engineering part 2: data versioning and dependency management

In my last column, I presented our research agenda for AI engineering. This time, we’re going to focus on one of the topics on that agenda, ie data versioning and dependency management. Even though the big data era has been with us for over a decade now, many of the companies that we work with … Read moreAI engineering part 2: data versioning and dependency management

AI engineering: making AI real

Few technologies create a level of hype, excitement and fear these days as artificial intelligence (AI). The uninitiated believe that general AI is around the corner and worry that Skynet will take over soon. Even among those that understand the technology, there’s amazement and excitement about the things we’re able to do now and lots … Read moreAI engineering: making AI real

Digitalization accelerated

For all the human suffering and economic impact caused by corona, there’s one thing that has just surprised me over and over again these last weeks: companies and professionals just adjust and adjust quickly. Teams and departments that were stuck in old ways of working suddenly have found that it’s entirely possible to work in … Read moreDigitalization accelerated

Focus on outcomes for cross-functional teams

With the vast majority of white-collar staff in companies currently working from home, the normal ways of managing people are disrupted quite fundamentally. Working closely with people in such a way that you can tell them what to do is much more difficult when you’re not physically in the same place. Similarly, many organizations rely … Read moreFocus on outcomes for cross-functional teams