Currently, automation does increase productivity to an extent, but the key to reaching its full potential is by an appropriate upskilling of the workforce. This was the conclusion of Capgemini’s latest report, which also found that in the majority of companies, automation is not yet meeting executives’ desired goals of increased productivity.

Our recent report on how the consulting delivery model could change from being an often uncomfortable and suboptimal mix of advice and implementation to a combination of deep expertise, smart software, and proprietary data (something we’ve reluctantly—in the absence of anything better—termed “managed services”) has triggered more conversations with more firms than anything else we’ve written this year.

The most radical period of change in industrial history is nearly upon us. While technology is evolving faster than humanity and is able to keep up with it, there is a need for rapid, sustained and growing innovation in what the World Economic Forum has dubbed the Fourth Industrial Revolution.

15 years or so ago, AI still largely had a terrible reputation. It had suffered from decades of over-promise and under-delivery, and if you went into a company saying you wanted to do something with AI, you’d be treated with a high degree of skepticism. Now, it’s rare to find any technology-driven venture that doesn’t have AI of some kind in it. It’s akin to the dot-com boom whereby every single business in the world, and indeed most projects within businesses, had to have a web element to it. Now, the same is largely the case with AI.

Conference organisers are always looking for speakers who can give informative technical presentations which are engaging and memorable

I recently led a project team at ThoughtWorks to create and open source a new Facial Expression Recognition (FER) toolkit named EmoPy. The system produces accuracy rates comparable to the highest rates achievable in FER and is now available for anyone to use for free.

Gartner says changing corporate culture is but one area business leaders need to master – developing privacy, artificial intelligence plans matter, too

The Consumer Goods Forum together with Capgemini has created a Global Health and Wellness Digital Framework to demonstrate how digital can help impact behavioural change to empower people to lead healthier lives.

​Why do some companies struggle to create real value? In part, because employees spend their days completing routine tasks. We can turn things around by redefining work to focus on identifying and addressing unseen problems and opportunities.

Artificial intelligence and cloud computing are both dynamic technologies on their own. Put them together and you get a customer experience powerhouse. Gartner predicts that by 2020, 85% of customer interactions will be managed without a human. It’s likely that many of those interactions will be handled through cloud-based solutions with AI.

​Regulating complex environments needn’t be cumbersome or expensive. New technologies and methods can help regulators operate efficiently and effectively, reducing compliance costs and improving the business experience.

Every now and again a technology comes along that escapes its tank in the IT department. Before you know it people at the front desk are discussing it with customers.Then the business needs a strategy related to the said technology because everyone is talking about it.

Being asked to come for an interview is exciting, but it is also something that many people get nervous about.

Change is the new norm
The business landscape looks very different now compared to ten years ago.

Whether it’s taking advantage of automation quick wins, those use cases that are not only easy to implement but also have a high benefit upside, or implementing automation use cases on a larger scale, the new report by the Capgemini Research Institute “Reshaping the future: unlocking automation’s untapped value” shows that organisations are not yet taking full advantage of the benefits of automation.

We operate in an increasingly fast, complex and interconnected world, where nimble new market entrants have been able to upend established sectors through a laser focus on unified experiences that win loyalty — and drive great businesses. Many of these barnstorming startups share a common feature: they have co-founders who have embraced human-centered design or come from a design background.

Where do data scientists come from? They don't all have PhDs, and hail from a wide variety of fields of study, levels of education, and prior jobs. That's the conclusion of Chris Lindner, a product scientist at Indeed, who recently looked at piles of resumes that his firm processes.

With the advancement of technology and more organisations offering flexible working arrangements, telecommuting has become the norm among many professionals today.Research from the TUC (Trades Union Congress) estimated that the number of people working remotely in the UK increased by a fifth between 2006 and 2016, and now stands at approximately 1.5 million.

Gartner research shows the need for customer insights is growing — 74% of marketing leaders surveyed ranked market and customer insight as their most prized capability. This makes sense; customers expect personalised, targeted, relevant experiences and the way to determine the how, what and where of those experiences is through qualitative and quantitative customer insight.

I recently interviewed a consultant who was telling me about a digital transformation programme he’d worked on with one of Britain’s police forces.