Name: Create value from your own data in industrial companies
SKU: 1032
Price: 22660 DKK
Availability: InStock

For this lecture, Mads Voigt Hingelberg provides first-hand experiences. He is an expert in industrial data acquisition and processing. The lecture is a reflection of how ready your own business is to work more data-driven. Finally, you get practical tools to take home with which you can work.

During the lecture, Mads will draw on interesting cases from his own customers in Danish industry. Finally, he will give some concrete examples of smaller initiatives that can make a big difference for the individual employee.


Work environment

Data analysis

Big Data

Artificial Intelligence (AI)

Mads Voigt Hingelberg

Create value from your own data in industrial companies

Mads has worked with information processing and large amounts of data since 1999. As a consultant in the technology industry in industrial data collection and processing, as a Senior Business Analyst at eBay for 9 years, and the last 4 years as an advisor to Danish companies on how to convert data into business.

In addition, Mads has written articles, been used as a background source at Børsen and worked as an external lecturer at DANIA University College.

Mads is a professional lecturer and spends approximately fifty percent of his time giving lectures or conducting research on areas for future lectures. The topics range widely, with information and technology as the focal point.


Mads Voigt Hingelberg gives three taste tests of how far we are with artificial intelligence. Cases from everyday life where, without knowing it, you are in close contact with something non-human, as well as the perspectives forward towards 2025.



Future

Overview of artificial intelligence

Get an overall introduction to the current and upcoming tools and principles within data analysis.

Easy, understandable and practical, seasoned with gold nuggets and experiences from Mads Voigt Hingelberg's 15 years of work with information processing.


Economy

Big data for professionals

This lecture is aimed at people who work with data today, or who have a professional interest in being updated on the latest technologies for processing large amounts of data.

We look at Cloud functions for real-time processing based on Google Cloud. From here we look at how the right algorithm can become a business in itself - and perhaps a new product for your company. We take our vision for granted, but if we are able to present large amounts of data in the right way, the human eye can be an excellent alternative to complex and opaque analyses. Processing large amounts of data on graphics cards is the future. We dive into a number of demonstrations and you get some pointers on how to get started.

Finally, we take a look into the future and see how quantum computers work and what new possibilities they can give you.


Future trends

After Innovation Lab has visited thirty manufacturing companies, it has become clear that these lag far behind other industries when it comes to mobilizing data for decision support.

In the lecture, we go through a number of cases from anonymous companies, their challenges and our proposed solutions to these. In these cases, we created great results in a short time with very few funds and a limited effort. You can do the same, but the right foundation.


Data collection, analysis and conclusion are the main tasks you have as an analyst, but the dissemination of your results is an equally important part that is often forgotten. The numbers and the previous work are not worth much if you fail to communicate the results to your management or colleagues.

In this lecture, you will take home concrete tools that you can use to tell a convincing and interesting story and thus ensure that your results come into play for the benefit of both yourself and your organisation.


Cooperation

Dissemination

Communication and presentation techniques for analysts

Blockchain as a concept is "just" a principle for the exchange of data between decentralized entities. It is difficult for most people to understand. In this lecture, you will come behind the "curtain" and we will look together at how two parties who do not know each other can exchange information in a secure way. The usage scenarios cover many different things, not just financial transactions.

You will go home with a fundamental understanding of the mechanisms behind blockchain and you will thus be able to make better decisions and have a more qualified dialogue on the subject.


Cryptocurrency

Digitization

Bitcoin and blockchain -behind the facade

Artificial intelligence is the digital helping hand of the future when data needs to be processed into knowledge and predictions about economics and politics.

"Intelligence" is a big word, and in the lecture Mads Voigt Hingelberg gives you a picture of what artificial intelligence really is and is not.


Create value from your own data in industrial companies

Pris

How can you use your own data in the company and create results?

Anmeldelser

Galleri

Create value from your own data in industrial companies

Pris

How can you use your own data in the company and create results?

Anmeldelser

Galleri

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