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 .

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 ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

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 ...

Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

For all the hype about data (how many times have you heard “data is the new oil”?), a shocking number of business leaders are missing out on their biggest data… Read More ...

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.

Managing unstructured data is a daunting task. ... Tackling Unstructured and Semi-Structured Data 3 minute read. By Marisa Peacock. March 2, 2009. Enterprise CMS. Share. Share. Copy link. Email.

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 ...

The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles. My team of data and analytics researchers and consultants falls into two ...