Data can be classified as structured, semi-structured or unstructured – but what bearing do these classifications have on a company’s data-handling strategy? The short answer is that it is becoming ...
To better understand the risks and potential guidelines related to this evolving conduit to information, practitioners in both the corporate and legal settings must understand the many uses (and ...
IDC estimates that upwards of 80% of business information is likely to be formed of unstructured data by 2025. And while “unstructured” can be something of a misnomer, because all files have some sort ...
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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 ...
MemSQL announced that its distributed in-memory database can now provide JSON analytics, to deliver a consolidated view of structured and semi-structured data, including standard enterprise and social ...
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 ...
Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...
Mandar Khoje is an Engineering Leader at Moveworks, leading Data Platform teams and based in the San Francisco Bay Area. The conversational capabilities of large language models (LLMs) are reshaping ...
In our initial article we examined the lesser-discussed but quickly expanding use of generative artificial intelligence (gen AI) systems that leverage large language models (LLMs) to query data stored ...