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The latest big data news and articles

Heard on the Street – 5/10/2022

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.

UiPath Launches Next-Gen UiPath Automation Cloud™ to Extend Automation Leadership in Latest Platform Release

UiPath (NYSE: PATH), a leading enterprise automation software company, introduced Automation Cloud Robots alongside a wealth of other powerful new capabilities as a part of the UiPath 2022.4 platform release. The new release provides enterprises with an even more comprehensive automation foundation to achieve fast and accurate outcomes.

Increase Speed-to-Value with Data Science as a Service

In this contributed article, Tom Martin, data science team leader at E Source discusses Data Science as a Service (DSaaS), a comprehensive package of data science resources and capabilities – think people, algorithms, data, and a cloud-based platform for starters – that enables companies who want to become more data-driven to accomplish that in partnership with experts in a flexible, organic way that accelerates speed-to-value. 

Introducing Innodata’s New AI Data Marketplace

Innodata is excited to announce its new Innodata AI Data Marketplace – an e-commerce portal where users can purchase on-demand datasets to accelerate AI/ML model building and training. With easy access to curated, industry-leading datasets, data science teams can now overcome persistent data challenges that often hamper AI initiatives, such as volume, variety, and privacy constraints. 

Why AlOps Is the Future of Network Management?

In this special guest feature, Amit Shingala, CEO of Motadata, points out that with the vast amounts of incoming data, it can be difficult to identify and estimate all the complications. Therefore, IT organizations must evaluate the benefits of introducing AIOps for network monitoring.

Increasing Customer Loyalty With Data Collecting: How to Do It Right

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.

Research Highlights: Transformer Feed-Forward Layers Are Key-Value Memories

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!

“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.

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.