Do you want to implement Artificial Intelligence (AI) in your financial forecasting? This is a huge leap forward in the accuracy of your forecasts, but getting there can seem daunting. We’ve made it easy for you and have broken down the process into 7 steps.

It is extremely common that there are significant differences between forecast and reality. Check out this blog on the 4 main benefits of using AI to create better financial forecasts.

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.”

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.

Oleksii Klymchuk, Senior Business Analyst at eBay, followed the GAIn Train-The-Trainer program in 2020 through the eCG Analytics University. We interviewed him recently to look back on this experience and learn how he applies his trainer skills in his daily job.

In 2020, the World Economic Forum published “The Future of Jobs Report”, indicating the top declining and emerging roles in the world. According to the publication, while 75 Million (mostly) clerical jobs will decline, 133 million new roles will emerge. Can you guess which roles are dominating the top 10 emerging roles? That’s right – data analysts, data scientists and other data specialists.