Allard de Boer, Head of Global Analytics at eBay Classifieds Group, talks about the many areas where eBay uses data and AI to improve their platform, how the role of human creativity and problem solving remains critical in the process, and how this sparked an inhouse training program to raise the bar across the whole organization on using data.
Ralph Smeets brings 7 years of experience working on AI solutions and education at MIcompany, with a core focus on people development within the GAIn Academy: ”People development is a passion of mine that started early, sparked by my father who was a primary school teacher. I’ve been active in education throughout my studies and professional life, from being part of student boards, to doing my PhD – and training actual doctors on team collaboration. All of this has led me to find my dream job at MIcompany and GAIn.”
Introducing SCENE, the first data-driven and scientifically proven personality test in the field of Artificial Intelligence. SCENE has been developed to help companies drive successful AI transformations by understanding human personalities, proactively overcoming the challenges of human change management and building business processes where humans and machines collaborate in harmony – a prerequisite for reaching the full potential of AI.
Our 8-year long collaboration with Bol.com continues in 2021 with focus on upskilling business analysts. The program will prepare business analysts to identify, validate and communicate opportunities for analytics & AI solutions. By the end of the year 533 people from Bol.com will have been trained by GAIn. Read about how the company took on the challenge to start building data-driven business teams. This case study is from 2015 and was first published on MIcompany.nl.
Did you have a childhood dream of becoming a super hero or a pop star? Perhaps you wanted to be Indiana Jones or Lara Croft; something that seemed impossible. But nowadays it can be real, with the help of AI.
How do you choose which machine learning algorithm to use? It is a fascinating question, as an enormous amount of algorithms has been developed in recent years. To be able to address this question in some detail in this (short) blog post, we will limit ourselves to classification algorithms, which are the algorithms most commonly used in our branch.
Aegon started building its data analytics capabilities back in 2013, when they set up the Aegon Analytical Academy together with the training school of MIcompany, now called GAIn. Today, 8 years after its launch, the academy is still running and has upskilled more than 80 employees in AI & data across the company in 11 countries. Have a look back on how and why Aegon started this important initiative to educate its people. This case study is from 2015 and was first published on MIcompany.nl.
As part of the 3-year program of the Aegon Analytical Academy, participants complete two exchange projects of 3 months at another Aegon Unit, in many cases abroad. In Paula Genovés’ case, she went to Budapest to work on a churn prediction project, putting all her new skills and learnings into practice. Read on to learn about her experience building a model that could save the company more than €1,000,000.00 a year!
Berkeley, a small town twenty minutes east of San Francisco, is home to UC Berkeley, the oldest campus of the University of California. This prestigious university is famous for its excellent institution and has been the Alma Mater for more than seventy Nobel prize winners. In 1973, the university discovered something shocking about its admissions: 44 percent of all men that applied for a PhD position at UC Berkeley were accepted, whilst only 35 percent of women were accepted. This seemed to indicate gender discrimination in the selection process!