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Top 10 Data Catalogues

If you have data, you also have data about data. This so-called metadata should also be collected, structured and stored. But why? We show the top 10 data catalogues with which this metadata can be collected, managed and effectively distributed within a company as part of a data strategy.

Top 10 application areas for AI in finance

The fintech (financial technologies) industry is one area where AI can be and is already being used very effectively. From lending to investing to customer service, many data-driven companies have already proven that AI can add real value in a wide range of FinTech areas.

Top 10 Data Warehousing Services

Machine learning and business analytics requires large storage capacities for big data. Therefore, many companies offer scalable, fast and user-friendly OLAP (Online Analytical Processing) data warehousing services to store, transform and analyse data for myriad business applications.

Top 10 AI Hardware Companies

Training machine learning (ML) algorithms, especially artificial neural networks such as large language models, is increasingly pushing the hardware available today to its limits. Therefore, it is important for a broad implementation and use of AI to have specialised and powerful hardware available. AI chips that have more efficient ways to parallelise computations are becoming increasingly popular. A few start-ups as well as various tech giants are already developing state-of-the-art AI hardware, making research and use ML and especially Deep Learning ready for mass production.

Top 10 ML & Data Science Courses

Data science and machine learning are now finding their way into almost every industry. The demand for highly qualified data scientists, engineers and visualisation experts can hardly be satisfied - also at [at]. If you are thinking about gaining a foothold in the field of data & AI, tackling exciting data-driven projects, working on cool use cases and exploring new technologies, this is the right place for you.

Top 10 Business Intelligence Tools

Data to Action: This is what BI & Analytics tools enable. Every aspect of a business throws off data. This should be used: With the help of business intelligence, data can be transformed, evaluated, reports and dashboards created and analytics applications programmed. In this way, you can maintain an overview and quickly answer specific questions in a data-driven manner.

Top 10 building blocks of a data strategy

Becoming a data-driven company is not easy. Data plays a role in almost all areas of a company. The first step is to make more out of this data: A data strategy as the basis for future innovations,...

Top 10 Data & AI Books for Beginners

In 2022, we will celebrate the 10th anniversary of [at] - Alexander Thamm. In 2012, we were the first consultancy in the German-speaking world to take up the cause of Data & AI. Today, we can say that artificial intelligence has the potential to become a...

Top 10 ML Algorithms for Beginners II

Recommender, clustering, regression, text analytics, anomaly detection... Machine Learning can be used today for a variety of problems and is faster and more accurate than ever. But what is it about the algorithms behind it? We take a look behind the scenes and show you which algorithms are really used in machine learning.

Top 10 ML Algorithms for Beginners

Recommender, clustering, regression, text analytics, anomaly detection... Machine Learning can be used today for a variety of problems and is faster and more accurate than ever. But what is it about the algorithms behind it? We take a look behind the scenes and show you which algorithms are really used in machine learning.