The Global Data Lakehouse Market reached USD 13.6 Bn in 2024. The sector should expand at a 25.5% CAGR and approach USD 131.8 Bn by 2034.

Companies are abandoning AI projects because fragmented, unstructured data is blocking meaningful decision-making insight.

Modern biology research can now generate valuable data on an unprecedented scale. But there is one major obstacle: making ...

The best AI outputs are fueled by both structured and unstructured data. Structured data, by definition, has some kind of order, such as rows and columns. Unstructured data is the opposite, lacking ...

The investment industry has long framed one of its biggest challenges incorrectly: investors are no longer suffering from a lack of data, but from the difficulty of interpreting and understanding it ...

Automating unstructured data enables businesses to process and analyse information at scale. It opens the door to strategic business intelligence that manual processing cannot unlock. As per industry ...

Large enterprises in regulated industries, especially in data-rich financial services and insurance, have invested significantly in data governance programs. Other businesses have been catching up as ...

Even though unlocking unstructured data and processing datasets faster can help with AI projects, organizations still need to ensure their governance, security and data management strategies are ...

The transformative power of generative AI lies in its capacity to turn unstructured data into an actionable asset—helping organizations to work smarter, automate decisions, and gain new business ...

The oldest axiom of computer science is "garbage in, garbage out." There's even an acronym for it: GIGO. The IT industry has seen countless examples of GIGO in action since the dawn of the computer ...

When leaders think about data, structured data—such as payment amounts, invoice processing dates and customer names—likely crosses their minds first. Because structured data is objective, it’s ...