The rise of AI has transformed data into a strategic asset, requiring flexible, integrated, and real-time data architectures. Traditional, rigid systems and pipelines, designed for dashboards and ...

For many, ChatGPT and the generative AI hype train signals the arrival of artificial intelligence into the mainstream. But while there’s little question of a seismic sea change these past six months ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...

Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...

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 ...

In 2025, enterprise data platforms support business operations by combining analytics, governance and orchestration in one system, increasingly with generative and agentic AI-enabled features to ...

Businesses have always relied on data, but they never were able to get full value out of them when they were siloed by structure, system, or storage. Today’s enterprise demands flexible, well-governed ...

Unstructured data is now the constraint shaping how far artificial intelligence platforms can realistically scale. Enterprises are struggling to scale AI because unstructured data pipelines can’t ...

Benjamin is a business consultant, coach, designer, musician, artist, and writer, living in the remote mountains of Vermont. He has 20+ years experience in tech, an educational background in the arts, ...