The open lakehouse integrates with Vertex AI, Google Cloud's fully managed, unified AI development platform, to fuel Google's AI platform. Governed, cataloged data provides trusted input for training ...

In a new set of papers, Booz Allen Hamilton details its Cloud Analytics Reference Architecture, blending big data and cloud computing into a solution that agencies are using to detect threats.

Managing unstructured data is a daunting task. Good thing Digital Reef is here to help. Today, they emerge from stealth mode after two years of developing their unstructured data management ...

There are three classifications of data: structured, semi-structured and unstructured. While structured data was the type used most often in organizations historically, AI and machine learning ...

Unstructured data is complicated compared to working with structured data - Finding the insight buried within unstructured data is challenging. It requires a high level of technical and analytics ...

This step involves using OpenAI technology to process the unstructured data and convert it into structured data. Next, you’ll need to provide the model name GPT-3.5 Turbo .

Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyze and report insights from ...

In the past, companies have maintained data warehouses filled with “structured” data. This is information such as credit card transactions and customer records that was kept in transactional ...

Structured and unstructured data create similar challenges. Put aside the emergence of generative AI for the moment. The foundational challenges of data management that cut across both structured ...

As the demand for e-discovery grows, so too does the challenge of collecting and preserving digital information—including unstructured and structured data. Unstructured data, such as Word ...