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The Intersection of Data and Lending

In this contributed article, Sarah Davies, Chief Data and Analytics Officer, Nova Credit, explains how alternative data sources are the solution to solving for financial inclusion, the strategic advantages data provides for lenders, and why data collection should be seen as a long-term investment.

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.

Graft™ Launches to Bring Modern AI to Everyone With $4.5 Million Pre-Seed Funding

Graft emerged from stealth to put modern AI within reach of every organization. Graft distills the AI infrastructure and workflows that top companies are converging around into an all-in-one package that is easy to use, regardless of machine learning proficiency or existing infrastructure.

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.

Deci Launches Version 2.0 of its Deep Learning Development Platform, to Democratize the Power of NAS and Eliminate the AI Efficiency Gap 

Deci, the deep learning company harnessing AI to build AI, today launched Version 2.0 of its deep learning development platform, making it easier than ever before for AI developers to build, optimize, and deploy computer vision models on any hardware and environment including cloud, edge and mobile with outstanding accuracy and runtime performance.

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.

UiPath Launches Next-Gen UiPath Automation Cloud™ to Extend Automation Leadership in Latest Platform Release

UiPath (NYSE: PATH), a leading enterprise automation software company, introduced Automation Cloud Robots alongside a wealth of other powerful new capabilities as a part of the UiPath 2022.4 platform release. The new release provides enterprises with an even more comprehensive automation foundation to achieve fast and accurate outcomes.

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.