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Lessons Learned: Training and Deploying State of the Art Transformer Models at Digits

In this blog post, we want to provide a peek behind the curtains on how we extract information with Natural Language Processing (NLP). You’ll learn how to appy state-of-the-art Transformer models for this problem and how to go from an ML model idea to integration in the Digits app.

Heard on the Street – 9/8/2021

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.

How to Organize Data Labeling for Machine Learning: Practical Approaches

In this contributed article, AI and computer vision enthusiast Melanie Johnson discusses how prior organization of data labeling for a machine learning project is key to success. Organizing data labeling for machine learning is not a one sitting job, yet a single error by a data labeler may cost you a fortune. Now, you probably wonder how do I get high-quality datasets without investing so much time and money?

TOP 10 insideBIGDATA Articles for August 2021

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.

“Above the Trend Line” – Your Industry Rumor Central for 9/1/2021

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.

insideBIGDATA Latest News – 8/31/2021

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

5 Misconceptions of ML Observability

In this special guest feature, Aparna Dhinakaran, Chief Product Officer at Arize AI, explains five of the biggest misconceptions surrounding machine learning observability. As tools emerge to facilitate the three stages of the machine learning workflow–data preparation, model building, and production–it’s typical for teams to develop misconceptions as they attempt to make sense of the crowded, confusing, and complex ML Infrastructure space.

Heard on the Street – 8/26/2021

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.

Data Con LA 2021 is Coming! Best Regional Data Conference

The Data Con LA schedule is now available and the list contains leaders in various well-hyped industries. Spearheaded by Subash D’Souza and organized and supported by a community of volunteers, sponsors and speakers, Data Con LA features the most vibrant gathering of data and technology enthusiasts in Los Angeles.

NFL and AWS Launch AI Challenge to Crowdsource Ways to Automate Player Identification using NFL Game Footage

The National Football League (NFL) and Amazon Web Services (AWS) launched a new artificial intelligence Kaggle challenge to create ways for computers to automatically identify players using NFL game footage. New computer vision models created through the challenge will accelerate the NFL’s work with AWS to better understand, and aim to reduce, injuries in the NFL. Prize money totaling $100,000 will be awarded to data scientists with winning models.