Choosing the Right AI for Data Quality
Data quality is getting renewed attention in the age of AI. Large language models (LLMs) are trained on vast amounts of text and images, but to be useful in a…










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At The Information Difference we have developed these charts which summarise the key players in the MDM Landscape, DQ Landscape and Big Data Warehouse Landscape and assesses their relative positions. It is important to understand that any summary level diagram like this combines various weighted assessments of a vendor and its technology, and these may not match your particular project priorities. For example, certain vendors have a much better track record in tackling certain data domains (customer, product) than others. So the positions of vendors would potentially change if the weightings were done as they relate to your particular project. You are encouraged to examine the Profiles, which go into greater depth, or to talk at an Information Difference analyst about your particular needs.
Data quality is getting renewed attention in the age of AI. Large language models (LLMs) are trained on vast amounts of text and images, but to be useful in a…
If you access a large language model (LLM) at home in your web browser or app, then you appear to be directly interacting with the model. In actual fact there…
Chess is a game that has fascinated AI researchers. Alan Turing wrote a chess algorithm on paper in 1951, though the computers of the time were too slow to run…
One of the biggest challenges facing large language models (LLMs) is hallucination: generating information that is false but presented as fact. Moreover, these fabrications tend to be plausible and convincing.…
Aesop’s fable “The Boy Who Cried Wolf” may have been written 2,600 years ago, but is proving relevant to the AI age. Anthropic CEO Dario Amodei has long had a…
While media attention recently has been focused on Anthropic and OpenAI, a new AI announcement from outside Silicon Valley quietly upstaged them on June 22nd. Fugu is a new AI…
As enterprises deploy AI, they are discovering the high cost of actually running an AI model, the “inference” costs. Uber spent its way through its 2026 AI budget in four…
Did a Munich court just open a legal can of worms for AI companies? Traditionally, internet platforms and search providers like Google have been legally insulated from the content that…
As AI project failures appear increasingly in the press, a less reported consequence is that insurance companies are starting to exclude AI from their policies. The Financial Times reports that…