Modern Data Stacks and AI

Discover the diverse applications of generative AI – from AI assistants to specialized tools transforming industries.

Explore how the EU AI Act reshapes compliance and risk management in AI. Discover the role of MLOps in aligning AI systems with new regulations for safer, more ethical practices.

Unlock the potential of prompt engineering in LLMs. Discover techniques to craft precise prompts and integrate AI into workflows, apps, and data systems.

Generative AI creates new content: From text to images to music – discover the possibilities of this creative technology.

Discover the benefits of knowledge graphs for data-driven applications: flexible, scalable solutions for companies managing complex data ecosystems.

Explore key data integration processes like cleansing, mapping, and merging to enhance data quality for informed decision-making.

How we helped a leading German manufacturer of workwear and protective clothing establish a future-proof data foundation.

Natural language processing enables organizations to extract value from an abundance of textual information, internal and external. There’s no one-size-fits-all. Learn more about the various approaches to NLP and how they add value to business applications.

This article showcases how understanding the needs and premises of an international retailer can lead to implementing a highly scalable and extensible data platform.

AI and modern data stacks are critical to enabling more personalized service in wealth management and private banking. How can organizations become more data-driven, ensure trust and reliability of AI-powered data, and drive-up adoption and business value?

Collaborating with CID, a law firm’s team kick-started a data science project, working along business use cases and data products.

A global professional services firm created a data fabric connecting business professionals and next-gen services with a wealth of information across their global network while enforcing high security and trust.