What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...

Leveraging AI for Legal Processes without Compromising Confidential Client Information In an era where compliance requirements and AI advancements shape the legal landscape, our session delves into ...

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

With intelligent automation and sound policies, IT teams can properly manage and leverage data for game-changing AI and analytics initiatives. The Fast Company Executive Board is a private, fee-based ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise AI is only as good as the data that is available to a model.

Like many of you, I regularly incorporate AI tools to keep up with marketing and martech trends. They provide me with summaries and extract insights that I either agree or disagree with. While ...

Data science isn’t new, but the demand for quality data has exploded recently. This isn’t a fad or a rebranding, it’s an evolution. Decisions that govern everything from successful presidential ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...