Data Science Summit
Martin Treder

Often underestimated in AI: The quality of data and modeling

A Talk by Martin Treder (Business Data Consultancy, ReturnOnData.biz)

About this Talk

Next to people, Data Science depends on algorithms, tools, data, modelling and hardware.

Algorithms, tools and hardware (GPUs, cloud solutions) all have progressed significantly during the past years. Data Scientists know where to go. Libraries like TensorFlow and PyTorch have made life easy for them. But how good is our data quality, and how scientific is our modeling of real-life problems?

Setting the Foundation: the Infrastructure & Tools Needed to Maximize the Benefits of Data Science & Analytics Quality Trumps Quantity: Finding & Managing the Right Data Uncovering Insights Through Effective Story Telling Ensuring Trust Through Privacy, Security & Ethics Emerging Trends & Innovations in Data Science & AI

About The Speaker

Martin Treder

Martin Treder

Business Data Consultancy, ReturnOnData.biz

Proven successes in Data Governance, Masterdata Management, Data Modelling, Data Quality, Data Science and Data Analytics. Experience in setting up comprehensive management of data in organisations, building bridges between IT and business functions.