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Machine Learning Career Path: Exploring Opportunities in 2022 and Beyond

In this special guest feature, George Tsagas, Owner of eMathZone, discusses how machine learning professionals can work as data scientists, computer engineers, robotics engineers, or managers. But if you want to make a career, the first step in finding opportunities in the field of machine learning is to understand the different types of jobs and skills needed.

“Above the Trend Line” – Your Industry Rumor Central for 11/16/2022

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.

Comet Introduces Kangas, An Open Source Smart Data Exploration, Analysis and Model Debugging Tool for Machine Learning 

Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way.

Four Steps to Building a Data Science Organization that Delivers ROI

In this contributed article, VP, Data Science for 84.51° Insights business, Emily Gibbons, offers tips for building a successful data science organization that delivers ROI. Included is advice for understanding common pitfalls and where to begin – i.e. start small, ensure tech teams have context they need, how to drive scale and advocacy across the organization to sustain ROI.

Heard on the Street – 11/14/2022

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.

The Move Toward Green Machine Learning

A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture, upgrading hardware, and using efficient data centers. 

insideBIGDATA Latest News – 11/2/2022

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.

Synthesis AI Expands Product Offerings to Enable the Development of Advanced Human-Centric Computer Vision Models

Synthesis AI, a pioneer in synthetic data technologies, released Synthesis Humans and Synthesis Scenarios, two new products that represent the broadest and deepest offerings of human-centric synthetic data. Through a proprietary combination of generative AI and cinematic CGI pipelines, the Synthesis platform can programmatically create vast amounts of perfectly labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches.

Heard on the Street – 11/1/2022

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.

AWS Celebrates 5 Years of Innovation with Amazon SageMaker

In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly predictions. The seeds of a machine learning (ML) paradigm shift were there for decades, but with the ready availability of virtually infinite compute capacity, […]