Video interview with Antti Myllymäki, Head of Artificial Intelligence at OP Financial Group, about how to best use data in the AI age by identifying use cases and challenges in the business.
Category - Interview
Time Series Anomaly Detection with Machine Learning – Sergei Bobrovskyi, Airbus
Video interview with Sergei Bobrovskyi, Data Scientist at Airbus on deep learning models used for anomaly detection in aerospace engineering.
Developing Explainable and Trustworthy Machine Learning Models – Edvard Sjögren, Kidbrooke Advisory
Video interview with Edvard Sjögren, a Partner at Kidbrooke Advisory, talking about trust and explainability as two key aspects of machine learning models, as well as their role in surpassing common machine learning...
AI Deployment in the Real World – Elin Allison, Telia Company
Video interview with Elin Allison, Head of New Product & Strategy at Division X | Telia Company, talking about AI applications and deployment today, and how Telia uses a framework of AI ethics for demystifying AI...
The Challenging Task of Data Science in Digital Transformation – Katharina Glass, Aurubis AG
Video interview with Katharina Glass, Data Science Manager at Aurubis AG about data science as a fundamental component of digital transformation and data scientists input in it.
How Data Science is Used To Make a Real Impact – Oskar Eriksson, DataRobot
Video interview with Oskar Eriksson, Customer Facing Data Scientist at DataRobot, on use cases as the stepping stone for any data science project, and common hinders and solutions companies face with data science, as...
Fake News Battle Between “Bad AI” and the “Good AI”- Or Levi, AdVerif.ai
Video interview with Or Levi, Founder of AdVerif.ai, on the continuous race between tools for generating fake news and tools for detecting them. He also discusses AI technology for fighting deepfakes and doing social...
Lessons in getting and using data – Victoria Chudinov, DSB Digital Labs
Video interview with Victoria Chudinov, Data Scientist at DSB Digital Labs on what is needed for a successful data science project and the data scientists’ role in deriving value from data.
Distributional Semantics for Improving Patient Safety – Lucie Gattepaille, Uppsala Monitoring Centre
Video interview with Lucie Gattepaille, Data Scientist at Uppsala Monitoring Centre about the use of distributional semantic methods in improving patient safety with data-driven representations of drugs side effects.
Why the IT industry cannot deliver data-centric computing – George Staw, Barclays
Video interview with George Staw, Barclays on the most common pitfalls faced when implementing data tools, why the IT industry cannot deliver data-centric computing, as well as the importance of data quality and...