data.blog - Facts about Data Science & Artificial Intelligence

From time to time, a new software system appears on the horizon of the technology landscape. In this paper we look at such a new data access and processing layer: the feature store. It will play an important role in the construction of intelligent systems based on machine learning (ML) algorithms.

Reinforcement Learning - Algorithms in the Brain

The future in e-commerce - with AI to automated product descriptions

Writing product descriptions is time-consuming - especially for providers who have a very large product portfolio. However, in order to be successful in online sales, these descriptive texts are extremely important.

Trust in Autonomous Driving

EU AI Act Whitepaper

by Patrick | Jun 19, 2024

With the entry into force of the AI Act by the European Parliament in August 2024, companies face the challenge of making their AI systems transparent, explainable and comprehensible. This new regulation, similar to the introduction of the...

data.deepdive - Expert knowledge and exciting project insights

SAFe® 6.0 Framework - Project Management [at] scale

by Patrick | Aug 21, 2024

Overview of the basics of project management, the structure and elements of the SAFe® 6.0 framework and a pragmatic view of implementation and application. https://youtu.be/zRcXRL7a2PM Video: From Scrum to SAFe: Agile project management for large teams...

Better Lotto Numbers with CNNs

by Patrick | Aug 9, 2024

Using Convolutional Neural Networks in a betting use-case won't make you a millionaire - but it will certainly help you to lose (much) less in the lottery. The German state-run lottery ("Lotto 6 out of 49") has a fundamental construction error. Consider for example...

data.basement - basic knowledge around the topics of data and AI

Transfer Learning in Machine Learning: Simply explained

by Patrick | Oct 2, 2024

Transfer learning has developed into a very valuable method in machine learning, which makes it possible to transfer knowledge from an already learnt task to a new, often related task. This offers a significant...

Why you should set guardrails in LLMs: An overview

by Patrick | Sep 19, 2024

Generative AI and large-scale language models have been the talk of the town since ChatGPT became available to users worldwide. Today, companies are utilising these technologies for their business processes such as advertising and marketing, and the...

An Introduction to Shot-based Learning

by Patrick | Sep 16, 2024

If you have dealt with artificial intelligence and machine learning, you probably know that obtaining good training data is one of the main problems in creating good models. And in many cases...

The role of parameters in LLMs

by Patrick | Sep 9, 2024

Large Language Models (LLMs) drive business growth through services such as answering questions, composing emails and generating code. They improve generative AI applications and are recognised for their human-like...

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