There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave the ...

Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...

The Center for Analytics and Data Science (CADS) is a university-wide initiative that develops problem solvers to turn data into insights and insights into action. CADS promotes education, ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

The company is saying that Amazon S3 Vectors makes S3 a “more cost-effective and scalable” solution for AI and machine ...

"Big data" and the ability to discover patterns and make predictions from large amounts of data is revolutionizing almost every other scientific and technical field. The Data and Predictive Analytics ...

Data is increasingly the differentiator between winners and also-rans in business. Today, information can be captured from many different sources, and technology to extract insights is becoming ...

AWS vice president of technology (data and analytics) Mai-Lan Tomson Bukovec spoke to the Computer Weekly Developer Network ...

Todd is the CEO and Co-Founder of OmniSci, the pioneer in accelerated analytics that enables businesses to uncover important insights. For years, analytics and data science had always been siloed and ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...