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 Machine Learning is Cleaning Up Medical Records
April 19, 2023 by 1 Comment
In this contributed article, Dr. Oleg Bess, practicing physician and CEO of 4medica, discusses how machine learning is doing great things in medicine, including improving medical diagnosis and drug manufacturing. It’s also improving healthcare in another way that doesn’t earn headlines but is at the core of care delivery: eliminating duplicate patient records, and providing high-quality data for patients and providers.
insideBIGDATA Latest News – 4/18/2023
April 18, 2023 by 1 Comment
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.
The Commoditization of Models Will Fuel The Next Generation of AI-Native Startups
April 17, 2023 by Leave a Comment
In this special guest feature, CTO of AI startup, OctoML, Jared Roesch, believes the result of the commoditization of models is that it will fuel AI-Native experiences that transform how we interact with technology at every level.
The insideBIGDATA IMPACT 50 List for Q2 2023
April 17, 2023 by 1 Comment
The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers 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.
ChatGPT & LLMs in the Enterprise: Best Practices & Applications
April 14, 2023 by Leave a Comment
While OpenAI’s ChatGPT, Microsoft’s Bing, and Google’s Bard have received a lot of public attention in the past months, it is important to remember that they are specific products built on top of a class of technologies called Large Language Models (LLMs). Our friends over at Dataiku have put together a new report to learn how to use LLMs like GPT-4 in an enterprise context — beyond the simple web interface provided by products like ChatGPT.
Heard on the Street – 4/13/2023
April 13, 2023 by Leave a Comment
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.
Edge Computing 101: Understanding the 5 Different Types of Edge Solutions
April 12, 2023 by Leave a Comment
In this special guest feature, Wayne Carter, VP Engineering of Couchbase, discusses the current state of edge computing, while digging into the different types of edge (including micro edge, mini edge, medium edge, heavy edge and multi-access) and when it makes sense to use them.
Chat GPT-3 Statistics: Is the Future Already Here?
April 12, 2023 by Leave a Comment
Our friends over at Tidio just released a new study on ChatGPT and what society thinks of it, supported by a number of compelling visuals. The study includes a variety of interesting data, as well as a selection of cool use cases of ChatGPT with prompt examples.
Book Review: Math for Deep Learning
April 11, 2023 by Leave a Comment
One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is “Math for Deep Learning” by Ronald T. Kneusel from No Starch Press. If you’re interested in getting quickly up to speed with how deep learning algorithms work at a basic level, then this is the book for you.
