Get a fast introduction into Industries 4.0 to understand its impact and chances for your business. You will be inspired how a steady evolutionary transformation and retro-fitting of an organization or a community can be done in the spirit of industries 4.0 for a future-oriented cooperative enterprise in a shared platform economy without breaking your existing structure all of a sudden
This course is for you if you want to understand:
- What Industries 4.0 can do for you and what it cannot
- Disruptive business models with Industries 4.0
- Benefits and Risks of Industries 4.0
- Use of Industries 4.0 in various industry sectors
- Disruption caused by Industries 4.0 for agriculture and health care
- The technology required to implement Industries 4.0
- Principles of machine assisted analytics
- How machines can easily interact with humans
- Security, safety, privacy and blockchain
- Myths and truth about Artificial Intelligence
Course Layout
A short crash course meant to give an exhaustive understanding to executives, corporate decision makers and policy makers.
What Industries 4.0 can do and it cannot
Define a common understanding and scope of Industries 4.0 and review the terminology used in order to avoid a Babylonian language muddle.
- Connecting Analog Machines to Digital Computers;
- Woven production; Autonomous vehicles; Sharing and Platform Economy
Use cases in various business sectors
Industries 4.0 is a practice-oriented design concept to make various industrial works more productive, efficient and ecological.
- Manufacturing 4.0, Agriculture 4.0, Health Care 4.0, Logistics 4.0, Education 4.0
- Benefits, Risks and Disruptive business models
The technology required to implement Industries 4.0
- Internet Infrastructure; Data Storage, Data Management, Enterprise Service Bus
- Practical approach to retrofit existing industries to Industries 4.0
Security, safety, blockchains etc.
Industries 4.0 depends completely on the availability and the reliability of the Internet and common services for security, safety and reliability.
- Security, Safety, Privacy, Blockchains etc.
- Data privacy, digital Rights management, making money with data
Machine learning: from data to analytics
- Data Acquisition, data Aggregation and pooling
- Data Analytics: Descriptive analysis, diagnostics, prediction, prescription
Myths and truth about Artificial Intelligence
Artificial Intelligence uses technologies to compile information and collect derived results of other analysis and simulate possible scenarios.
- How machines can easily interact with humans
- Machine Learning, Learning Machines, Machine games, Darwin Machines
Project management for Industries 4.0
We can control the complex and dynamic tasks of changes in highly distributed holistic environments by designing evolution.
- Evolution by Design: Strategies to keep controlled in a shared economy
- Standard Operation Procedures to control human-machine cooperation
Implementation strategies for Industries 4.0
In the end you want to know how to invest efficiently to transform your organization into a Industries 4.0 chamopion.
- Retro-fitting existing machinery for Industries 4.0
- A master plan for efficiently achieve Industries 4.0