The $92 billion data management market is merging with AI. Explore how AI is transforming data quality, governance, integration, and analytics.

A tiny LLM node looking up at a giant wall of database tables visualized as blocks, each with cryptic names.

Why LLMs Struggle to Integrate with Corporate Systems

Large language models (LLMs) have been heavily promoted as productivity tools for enterprises in a range of use cases, such as customer chatbots, content creation for marketing material, and enabling employees to easily access and summarise documents like product documentation or product manuals. There are other use cases, such as automation of business processes like…

2 Robots or digital avatars sorting or analysing stacks of digital files at a desk with stacks of digital 'paper', hinting at automation.

Data Management and AI

The worlds of data management and artificial intelligence (AI) are gradually converging. There are many segments of the huge $92 billion enterprise data management market, including data governance, master data management, data quality, data integration, databases and data analytics. Every one of these has been touched by AI to some extent. Enterprise data management continues…

A conveyor belt feeding bright, clean, polished code or data blocks into a sophisticated machine or brain, with low-quality or damaged blocks filtered out or falling away.

Garbage In, Garbage Out – The Importance of Training Data for LLMs

As the large language models (LLMs) that underlie artificial intelligence chatbots like ChatGPT permeate more and more of daily life, people are increasingly coming to depend on them. Students use LLMs to help with their homework, programmers use LLMs to debug code or write new program code, and marketers to write descriptive content about their…