Intended for (senior) management to distinguish sense and nonsense in the world of AI and Analytics and to understand the most important concepts of data analytics and AI. But also technicians who like a good introduction to an adjacent field of expertise appreciate the workshops.
The workshops take two hours each (can be shortened to 1 hour if necessary), are interactive and do not require any prior knowledge. Ideal for anyone who comes into contact with a world of buzzwords and likes clear subtitles in a safe environment. The ideal group size for an in-company training is 10-25 people. For the Lego exercises, the group is divided into sub-groups.
Online versions of the workshops can also be followed in corona time. A maximum number of participants of 20 applies for this.
Just under 3000 participants, from programmers to C-level, preceded you. They rated the workshops with an 8.5 on average (on a 1-10 scale).
With open registration, the costs are € 150 ex VAT per workshop.
For non-data scientists. Intended for (senior) management to distinguish sense and nonsense in the world of AI and to understand the most important concepts
For non-data scientists. Intended for (senior) management to get a picture of what it takes to be successful with analytics, the role of data and data quality, what the most important techniques are and how they essentially work, and how to organize it so really leaves the innovation corner.
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Many organizations regard documents and texts as data (if they see it as data at all) that needs to be processed manually. But much can be automated way better and faster than by hand. RPA (Robotics) often does the if-this-then-that processing, but everything else remains manual work.
This workshop explains the different techniques that exist in the world of text and for what kind of problems they are suitable (and where not at all; the hype of talking robots)
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For anyone who wants to give substance to responsible use of models. Where does bias come from, can it be prevented, how to recognize it, and the importance for the organization to have a grip on it. How can you safely use models in good governance that derive value from data, without getting into the news (or worse)? With fun exercises that show that prejudices are quite unruly.
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Walter has more than 25 years of experience in data analytics and helps organizations harvest the value from their data.
info@walterdiele.nl