@Tutorial: Big Data and AI

A course by TMG Muenchen

Information about the course

Big Data 
usually refers to data that can’t be effectively processed with traditional applications due the challenge of capturing, storing, transferring, querying, and updating data in such large amounts. While there’s no singular definition for it, people often refer to the 3 V’s of big data: Volume (the size of the data), Variety (data from different sources or in different formats) and Velocity (the speed at which data is generated and at which it needs to be available for processing).
The @Tutorial explores the strategic choices for new Business Models and operational Performance Improvements.

can be defined as a branch of computer science that aims to create intelligent machines.
That is, machines that emulate human performance typically by learning, understanding complex concepts, getting to conclusions or engaging in dialogues with people.
On the other hand, Machine Learning refers to one of the branches of AI that is based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
And last but not least, Deep Learning refers to a part of a broader family of Machine Learning methods based on learning data representations focused on Neural Networks, as opposed to task-specific algorithms.
The @Tutorial shows how to develop a competitive Strategy for a Man-Machine Advantage by organizational change.

Is this course for you?

If you've answered "I can't" to any of the questions above, then this is the right course for you.

Learning Objectives

  • The @Tutorial on-demand provides a short introduction to the technologies and their management challenges. This enables the i4.0 Project Team to understand its value and area of usage.

  • By understanding areas of usage internal needs are revealed and speed of improved automation is increased.

  • The @Tutorial has the following Objectives.:

  • Understand current challenges which i4.0 can address
  • Discovering the Root Causes for Change
  • Evaluate the strategic and operational usage of the Industrie 4.0 Technologies
  • Exploring the i4.0 Solution Space with Use Cases for becoming a “Industrie 4.0 Master”

  • Learning Result: Rapidly Moving i4.0 Ideas from inception to Implementation

Content and Description

This @Tutorial will provide you with the insight into the following Module:

Module: Big Data and AI
>Creating the Man-Machine Advantage

Big Data & AI: Smart Connected Products
Co-Creating with AI
Big Data management
Data Science process
Artificial Intelligence
Predictive Analytics of Fleets
Big Data & AI as a Business
Man- Machine Advantage
Framework for implementing Big Data & AI

As this self-service @Tutorial is designed to address challenges and specific up-skilling needs on-demand.
Therefore, this provides a unique opportunity to come away from reviewing this @Tutorial with all the information you need.

Duration 2 hours
Cost 34.0€ incl. VAT
Difficulty Intermediate

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