Path to Data Science for Engineer_Webinar_Altair-Data-Analytics

The Deep Dive: Practical AI and Data Science for Engineers

Part 2: How to Apply AI and Data Science to Your Operations Easily

On-Demand Recording Now Available!

Data science and AI are game-changing technologies for engineering and manufacturing companies. But who is going to execute all the data science?

At Altair, we are convinced that engineers have the necessary skills to be successful in this exciting field.

Data science has three main pillars:

  • Mathematical skills
  • Domain expertise
  • Computer science

In many cases, mastering the computer science skills aspect of it is the biggest hurdle for engineers to climb whilst trying to enter this field.

By bridging the gap between the data scientist and engineering roles – your organization can breakdown data silos and extract actionable insights to drive real business value.

Why Attend? 

  • Learn how you can make inroads into the field of data science without much time and effort on your part 
  • De-code the many buzzwords used in this field so you can navigate them and use them correctly
  • Be inspired by the myriad of applications of data science in the engineering domain and learn how you can approach the usage of AI in your day-to-day work 
  • See our low - no code platform in action to overcome computer science difficulties

Who Should Watch?

This webinar is perfect for engineering & manufacturing leaders of all levels, in particular:

  • Production & Quality teams within Manufacturing Operations
  • Engineering, CAE & R&D teams
  • Manufacturing Operations – CTO / Digitalization Officer
  • The CDO Circle – Chief Data Officers & Chief Analytics Officers

Watch On-Demand >


Marco Flieber
Marco Fliesser
Technical Director, Data Analytics (EMEA)

Marco Fliesser specializes in applying data analytics to engineering and manufacturing processes for Altair’s industry-leading clients. With his strong background in data science, engineering and manufacturing, he is working with clients on innovative projects to converge those important fields. 

Throughout his time at Altair, he has pioneered in using data-driven methodologies to improve product development processes. Since 2015 he is giving statistics and DoE lectures to automotive master students at the University of Applied Sciences FH-Joanneum in Graz, Austria. 

He is leading the European team of Data Engineers, Data Scientists and Visualization experts. He holds a Master's (Dipl.-Ing. (FH)) degree in Aerospace Engineering.