TIME TO INNOVATE

ON-DEMAND WEBINAR

Ingolstadt University of Applied Sciences: Maximizing the value of industrial data through the integration of machine learning and data analytics

Interest is growing in data literacy and the opportunity to become more efficient and effective by exploiting data better.

We’ve all heard the promises but gaining an advantage from data-driven methods is somewhat different. Success requires the integration of data management, data analysis, and subject matter expertise, plus the ability to communicate findings with brevity and simplicity. Understanding the circumstances under which our data has been collected, how it has been measured, and its potential limitations are foundations of the process of extracting maximum information from our data.

Perhaps you want to get started with machine learning techniques or are looking for a route to effectively integrate these tools within existing programs. Whatever challenge you’re facing, learn:

• How to get started with applying machine learning tools to your data to maximize the value you can obtain from it.
• The importance of using domain knowledge, experience, and intuition alongside statistical and machine learning methods.
• The impact that data quality, structure, and resolution have upon the questions we can answer from our data.
• How data-driven processes and analytics can deliver explainable insight into your data.

Presenter