Tech Deep Dive

AI Solutions Leveraging Foundation Models

Foundation Models (FMs) are large pre-trained AI models that can adapt to various tasks, simplifying development of AI solutions. The pre-training is self-supervised on very large-scale datasets (such as text, images, audio, time series, etc., or combinations of...

SAFe® 6.0 Framework - Project Management [at] scale

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

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...

Why we need data product management

"How do we effectively create value from our data?" Many organisations ask themselves these and similar questions when dealing with their data. The fundamental importance of data is undisputed - however, it is often unclear how the growing amount of data...

LLM Explainability: Why the "why" is so important

"Explainable AI" (XAI) is crucial for understanding the decision logic of highly complex AI models such as LLMs. Suppose you have applied for a loan from a bank. In a conversation with the bank representative, you are told that your...