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.
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.
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.
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.
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?
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.”
In this contributed article, IT and digital marketing specialist Natasha Lane says that if your goal for the upcoming period is to increase customer loyalty and ensure your hard-won leads remain paying customers long into the future, then it’s important to know how data collecting might help you achieve that effect.
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.
In this regular column, we take a look at highlights for important research topics of the day for big data, data science, machine learning, AI and deep learning. It’s important to keep connected with the research arm of the field in order to see where we’re headed. In this edition, if you (like me) have wondered what the feed-forward layers in transformer models are actually doing, this is a pretty interesting paper on that topic. Enjoy!