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Book Review: Machine Learning for Kids

I greatly enjoyed reading and reviewing this delightful new book, Machine Learning for Kids: A Project-based Introduction to Artificial Intelligence, by Dale Lane, which was developed to introduce machine learning technology to children. It is well-written and includes everything needed to jump-start a kid’s life in data science. The book is just the thing to motivate a young person to extend their innate curiosity to data centric experimentation.

Interview: Prat Moghe, CEO of Cazena

I recently caught up with Prat Moghe, CEO of cloud data lake leader Cazena to get his take on how getting off the ground with cloud data lakes continues to be a major frustration for enterprises. We’re seeing such deployments taking at least six months and millions of dollars of annual spend for in-house development and management. There’s got to be a better way. Gartner has estimated the failure rate of big data projects as high as 80%. What can you do about companies that stubbornly hang on to legacy data strategies, using analytics/BI approaches that put them ever-more behind competitors who are modernizing their data stack with AI/ML/etc? In this interview, we’ll get some valuable perspectives for you to follow in accelerating your time-to-analytics.

The insideBIGDATA IMPACT 50 List for Q2 2021

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

TOP 10 insideBIGDATA Articles for March 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.

Tecton Announces Line-Up for First Annual Machine Learning Data Engineering Conference – apply()

Tecton, the enterprise feature store company, announced the line-up for apply(), a virtual conference that it is hosting on data engineering for applied machine learning (ML) April 21 – 22. apply() is a practitioner-focused community event for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world

Gaining the Enterprise Edge in AI Products

In this contributed article, Taggart Bonham, Product Manager of Global AI at F5 Networks, discusses last June, OpenAI released GPT-3, their newest text-generating AI model. As seen in the deluge of Twitter demos, GPT-3 works so well that people have generated text-based DevOps pipelines, complex SQL queries, Figma designs, and even code. In the article, Taggart explains how enterprises need to prepare for the AI economy by standardizing their data collection processes across their organizations like GPT-3 so it can then be properly leveraged.

Book Excerpt: Real World AI

This article was adapted from the recently released best-selling book, Real World AI, written by Alyssa Rochwerger and Wilson Pang. Alyssa is the director of product at Blue Shield of California and has previously served as VP of product for Figure Eight (acquired by Appen), VP of AI and data at Appen, and director of product at IBM Watson. Wilson is the CTO of Appen and has over nineteen years’ experience in software engineering and data science, having served as the chief data officer of Ctrip and the senior director of engineering at eBay.

Understanding NoSQL Databases: Document Stores

In this contributed article, Alex Williams, Writer/Researcher at Hosting Data UK, discusses document-oriented databases (also called: aggregate databases, document databases or document stores) and how they place each record, and its associative data, inside single documents. This database type is a subset of the NoSQL umbrella, which refers to the growing list of popular database management systems that use ‘non-relational’ models — i.e. databases that don’t rely on Structured Query Language, SQL.

Microsoft Azure AI for Health Initiatives

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insideBIGDATA Latest News – 3/22/2021

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.