How Retailers Handle Price Wars: Europe Versus the US

On both sides of the Atlantic, retailers are facing two major industry pain points, flattening demand and compressed prices. Behind both these issues, however, is fast-changing consumer behavior. In both markets, there’s a race to fulfil consumer demand effectively and efficiently.

Power to The People: Why Man + Machine Learning = Maximum Productivity

IN Machine Learning — 24 July, 2017

We live in a world where people like to pitch man against machine. But isn’t the truth that humans should be working with technology to drive a more efficient future?

The Promise of Artificial Intelligence & the Reality of Super-Human Performance

Watson, Einstein, Leonardo. These names were chosen as product names for Artificial Intelligence (AI)-based technology. These names are not random choices – they are names associated with brilliant and creative minds, reflecting the aspirations these products have. These exceptional figures are extremely individual and have had such a profound…

Building Robust AI Systems – Part I

“What's the first thought that comes to mind when you think of Artificial Intelligence (AI)? Perhaps it’s a scene from a science fiction movie? Or – more realistically – AlphaGo, developed by the Google owned company DeepMind that learned to beat the best players at the complex game of Go? Perhaps you wonder about job security? MIT Technology Review

My Metric is Better Than Yours – Optimizing Business Decisions with AI

P. Sondergaard, Senior VP at Gartner famously said: “Algorithms are where the real value lies”. Artificial Intelligence (AI) and machine learning are reshaping entire industry sectors and verticals, creating the foundation of the next industrial revolution.

We Need to Talk About Your Data - Data Quality in the Age of AI

IN Machine Learning — 21 June, 2017

A short while ago I attended an industrial conference about production machines and engineering. This specific community is about five years behind retailers in understanding the impact that Artificial Intelligence (AI) and machine learning can make when integrated into their processes.

Building AI Applications – It’s More than Sticking AI in Front of It

Recent advances in machine learning and artificial intelligence (AI) — as well as technological improvements — have enabled a wide(r) range of businesses to integrate AI into their offering or integrate AI in their business processes.

Big Data vs. Artificial Intelligence

In recent years, almost all companies have jumped on the bandwagon to invest in Big Data. Each year, Matt Turck compiles a comprehensive list of Big Data companies that shows the relevant players on the market. Although such a list is ultimately incomplete, the recent versions have become so complex and detailed that they become hard to read, even…

How to Build an AI Strategy

A recent article by Harvard Business Review opens with “every serious technology company has now an Artificial Intelligence (AI) team in place.” The author raises an important point when claiming “Please don’t hire a Chief Artificial Intelligence Officer” by highlighting: “For them, AI is a competitive advantage, but not part of their core product.”…

A Cultural Change – How AI Drives Change Management

In 2012, Thomas Davenport and DJ Patil, who went on to become the first Chief Data Scientist of the United States Office of Science and Technology Policy at the White House under President Obama, published an essay in Harvard Business Review titled “Data Science is the Sexiest Job of the 21st Century”. In it, they defined this role as “a…