article thumbnail

Four things that matter in the AI hype cycle

CIO Business Intelligence

The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work. Vector Databases To make use of a Large Language Model, you’re going to need to vectorize your data. For that, you’ll need an embedding model.

article thumbnail

The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”. How does one express “context” in a data model? Hence, the graph model can be applied productively and effectively in numerous network analysis use cases. Ahh, that’s the topic for another article.

Metadata 250
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Quantitative and Qualitative Data: A Vital Combination

Sisense

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” What are the problems with quantitative data? or “how often?”

article thumbnail

Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

article thumbnail

How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

zettabytes of data in 2020, a tenfold increase from 6.5 While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. Data pipeline maintenance. Poor performance.

Big Data 104
article thumbnail

Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

Quoting Keystone Research, he opened with the finding that: Companies who use data effectively have 18% higher gross margins and 4% higher operating margins Keystone Research. And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

article thumbnail

Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

ROI 211