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What’s so Important about Data Quality?

In this special guest feature, David Kolinek, Vice President of Product, Ataccama, asks why data quality is so important? Sometimes taking a step back and reviewing the basics can help clear things up. DQ is not a single activity but a series of actions that draw upon multiple resources and functions, all focused on making data usable in a purposeful way. It falls under data management, which has an overriding mission of delivering a view of datasets from various perspectives, enabling the type and quality level of data to be assessed. 

Looking Ahead | Observability Data Management Modernization

In this contributed article, Karen Pieper, VP of engineering at Era Software, discusses how organizations today use real-time data streams to keep up with evolving business requirements. Setting up data pipelines is easy. Handling the errors at each stage of the pipeline and not losing data is hard.

insideBIGDATA Latest News – 5/11/2022

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.

It’s a Numbers Game – Why Businesses Need More Women in Data and Analytics

In this special guest feature, Peggy Pranschke, VP Global Business Analytics with Vista, discusses how the barriers to success for women working as data scientist can be overcome. As the amount of data increases and the demand for specialists grows, ensuring diversity within data teams should be a priority. Diversified staff can bring different perspectives, creativity, and unbiased problem-solving to the discipline.

Intel’s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing

Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana® Gaudi®2 and Habana® Greco™. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.

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.

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. 

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.

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.