Search Results for: Catalogs

Data Catalogs are Half the Battle–We Need Answers to Real Questions

In this special guest feature, Kaycee Lai, Founder and CEO of Promethium, discusses how the data catalog is a critical step in the movement towards data-driven business. But it’s also a step that needs to be bolstered by a few other things before it enables business questions to be answered. Reviewed are a few of the roadblocks that analysts encounter to identify functionality that needs to be added to data cataloguing.

Deep Learning at scale for the construction of galaxy catalogs

A team of scientists is now applying the power of artificial intelligence (AI) and high-performance supercomputers to accelerate efforts to analyze the increasingly massive datasets produced by ongoing and future cosmological surveys. “Deep learning research has rapidly become a booming enterprise across multiple disciplines. Our findings show that the convergence of deep learning and HPC can address big-data challenges of large-scale electromagnetic surveys.”

AI-Driven Data Catalogs: How to Find the Right one for Your Business

The commoditization of data has opened a world of opportunities up for countless enterprises. But as big data explodes, metadata initiatives are failing, and data discovery and retrieval is getting more and more difficult. A new white paper from IO-Tahoe explores data catalogs as a potential answer to this challenge.

AI-Driven Data Catalogs for the Insights-Driven Enterprise: How to Find the Right Data Catalog

Data lakes have turned into data swamps. Metadata initiatives have derailed. As a result, data discovery and retrieval are ongoing, head-banging challenges. In the universal search for a workable solution, data catalogs are quickly rising to the top of the list. Download the new report from Io-Tahoe that outlines some of the major considerations to help you find the AI-driven data catalog that will work best for your organization. 

Cloudera Announces Data Platform Updates

Santa Clara, CA — Sept. 25, 2025 — Cloudera today announced updates to its platform, specifically Cloudera Iceberg REST Catalog and Cloudera Lakehouse Optimizer, both “strengthening the company’s commitment to delivering the best open data lakehouse powered by Iceberg,” the company said. With these updates, Iceberg REST Catalog provides open interoperability for sharing data seamlessly, […]

Forrester Names Red Hat a Leader in Multicloud Container Platforms

RALEIGH, N.C. – July 30, 2025 — Red Hat, the world’s leading provider of open source solutions, today announced that it has been named a Leader in The Forrester Wave: Multicloud Container Platforms, Q3 2025 report. Red Hat scored the highest among evaluated vendors in both the current offering and strategy categories. Red Hat attributes this recognition to its strong […]

Bunk Bed Manufacturer

A successful bunk bed manufacturer today must operate at the intersection of engineering, ergonomics, and global logistics. Bunk beds are no longer just furniture pieces for children’s rooms or dormitories—they’re essential infrastructure in industries such as defense, hospitality, education, emergency response, and workforce housing. Each of these segments requires custom specifications, durable designs, and region-specific […]

National Lab’s Machine Learning Project to Advance Seismic Monitoring Across Energy Industries

A new initiative designed to revolutionize seismic monitoring and forecasting using real time, advanced machine learning (ML) technologies is coming to the West Texas/New Mexico area. The U.S. Department of Energy (DOE) Technology Commercialization Fund awarded $1.8 million in funding to Lawrence Livermore National Laboratory (LLNL). The project is known as RECONNECT, or the Real-time […]

Greater Complexity Brings Greater Risk: 4 Tips to Manage Your AI Database

AI advancements will fundamentally change how enterprises use and manage data, making it essential to embrace and understand this transformation. For organizations looking to adopt AI at scale, the state of their databases is a critical success factor. Poor data quality, weak governance ….

Report Released on Enterprise AI Trust: 42% Don’t Trust Outputs

“…. the report finds that while 58% of organizations have implemented or optimized data observability programs – systems that monitor detect, and resolve data quality and pipeline issues in real-time – 42% still say they do not trust the outputs ….”