Can technology fix technical debt? VFunction has announced a new tool, Assessment Hub, a product that uses AI and graph algorithms to measure the quality of code and guides developers on how to improve it. Read More
Blockchain interoperability is essential to avoid the flaws of Web2
A seamless bridge of information and tokens between different blockchains will be key for a truly decentralized, multichain economy.Read More
Hewlett Packard Enterprise Ushers in Next Era in AI Innovation with Swarm Learning Solution Built for the Edge and Distributed Sites
Hewlett Packard Enterprise (NYSE: HPE) announced the launch of HPE Swarm Learning, a breakthrough AI solution to accelerate insights at the edge, from diagnosing diseases to detecting credit card fraud, by sharing and unifying AI model learnings without compromising data privacy.
What Comes After the Data Lakehouse?
In this special guest feature, Lewis Carr, Senior Director of Marketing at Actian, observes that while – the data warehouse and the data lake – have their benefits and shortcomings, the question is really how does blending the best capabilities of each component in the process address tomorrow’s challenges?
4 Areas Where Grocery Stores Can Use Data Analytics to Enhance Operations
In this special guest feature, Bagrat Safaryan, Co-Founder and CEO of Local Express, takes a close look at four areas where data analytics can have a significant impact for grocers. Thanks to new, easy-to-integrate technologies, if you are a grocer, you can start baking the cake yourself and claim most of it as revenue. The key here is to use the technologies and collect own data, analyze systematic relationships and patterns, and tailor your store’s operations to your and your customers’ needs.
Galileo Launches to Give Data Scientists the Superpowers They Need for Unstructured Data Machine Learning
Galileo emerged from stealth with the first machine learning (ML) data intelligence platform for unstructured data that gives data scientists the ability to inspect, discover and fix critical ML data errors 10x faster across the entire ML lifecycle – from pre-training to post-training to post-production. The platform is currently in private beta with the Fortune 500 and startups across multiple industries.
New Streamlined Statistical Method Provides Improved Pattern Detection and Risk Prediction for Disease
Researchers from the Renaissance Computing Institute (RENCI) at UNC-Chapel Hill, Perspectrix, the UNC School of Medicine, and the WVU Rockefeller Neuroscience Institute have collaborated to develop a new method for finding patterns in data which arguably surpasses the performance of a generally accepted “gold standard.”
TOP 10 insideBIGDATA Articles for April 2022
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.
Heard on the Street – 5/2/2022
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
“Above the Trend Line” – Your Industry Rumor Central for 5/5/2022
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.