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Heard on the Street – 5/19/2022

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 Next Data Revolution is Here – AI Will Understand What Isn’t Being Said

In this special guest feature, Ran Margaliot, COO and VP R&D for Affogata, discusses how nalyzing and sorting through unstructured data saves countless hours and recognizes patterns in seconds that even skilled data professionals may never uncover. That data “superpower” can lead to better products that adapt in real-time, responsive customer service,  and a sharing of insights across an organization magnifies its impact even further. The impact is well-demonstrated, and there is plenty of data and case studies to prove it; the final step is for human decision-makers to make the decision sooner rather than later.

Emza and Alif Demonstrate Fast, Ultra-Efficient Object Detection for Tiny AI Edge Devices

Emza Visual Sense, a pioneer in Tiny AI visual sensing, is joining with Alif Semiconductor to show how the combination of powerful, highly efficient Arm®-based hardware and optimized models can make AI a reality at the edge. The companies are demonstrating Emza’s trained face detection model running on Alif’s Ensemble™ microcontroller (MCU), the first MCU featuring the Arm Ethos™-U55 microNPU. The Emza model runs an order of magnitude faster on the Ensemble device with Ethos-U55 compared to a CPU-only solution, with extremely low power consumption.

Predibase Introduces a New Way to Do Low-Code Machine Learning

Predibase emerged from stealth with its commercial platform that lets both data scientists and non-experts develop flexible, state-of-the-art ML with best-of-breed ML infrastructure. Predibase has been in beta with Fortune 500 enterprises the last nine months who have seen time for model development deployment drop from months to days and used by data practitioners and engineers across each organization. 

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.

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.

Introducing Innodata’s New AI Data Marketplace

Innodata is excited to announce its new Innodata AI Data Marketplace – an e-commerce portal where users can purchase on-demand datasets to accelerate AI/ML model building and training. With easy access to curated, industry-leading datasets, data science teams can now overcome persistent data challenges that often hamper AI initiatives, such as volume, variety, and privacy constraints.