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Arm Treasure Data Introduces TreasureBoxes and Custom Scripts to Enable Faster Time-to-Value for Customers

Arm® Treasure Data™ announced new product capabilities and features for its Customer Data Platform (CDP), including Treasure Boxes and Custom Scripts; each helps speed business results customers will see from the platform. Treasure Boxes are the industry’s first CDP solutions library of prebuilt sets of code and applications. Treasure Boxes can be easily deployed in a customer’s Arm Treasure Data account to seamlessly leverage customer data for specific use cases. Custom Scripts provide companies with the ability to run AI/ML-based analytics on their data to drive actionable insights for marketing campaigns.

Cerebri AI Launches Cerebri Values CX v2 Platform

Cerebri AI, announced the official launch of its second-generation Cerebri Values Customer Experience platform (CV/CX v2), which is now in the hands of customers and in full production. CV/CX v2 insights, brand commitment - Cerebri Values and Next Best Action{set}s are all driven by patent-pending object-oriented AI and reinforcement learning modelling methods. Our technology can time, sequence and value up to four events, rendering ‘rules-based’ and ‘AI-lite’ technology obsolete for driving maximum results.

Symphony AyasdiAI Launches Next-Generation AI Solution for Anti-Money Laundering

Symphony AyasdiAI announced the launch of Ayasdi AML, an advanced anti-money laundering (AML) solution that significantly boosts efforts to combat fraudulent money laundering schemes. Ayasdi AML uses state-of-the-art unsupervised machine learning technology to increase detection accuracy and reduce investigative volumes by more than 20 percent.

insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads – Part 2

Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they present unique challenges to compute, storage and network resources. In this technology guide, insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads, we’ll see how traditional file storage technologies and protocols like NFS restrict AI workloads of data, thus reducing the performance of applications and impeding business innovation. A state-of-the-art AI-enabled data center should work to concurrently and efficiently service the entire spectrum of activities involved in DL workflows, including data ingest, data transformation, training, inference, and model evaluation.

Department of Energy and Cerebras Systems Partner to Accelerate Science with Supercompute Scale Artificial Intelligence

Cerebras Systems, a company dedicated to accelerating artificial intelligence (AI) compute, announced a partnership with the U.S. Department of Energy (DOE) to advance the massive deep learning experiments being pursued at its laboratories for basic and applied science and medicine with supercomputer-scale AI. Argonne National Laboratory and Lawrence Livermore National Laboratory are the first labs announced in Cerebras’ multi-year, multi-laboratory partnership, with more to follow in the coming months.

Quilt Data Launches, Introduces Visual Index to Amazon’s Public Data

Quilt Data, where the world’s data comes together, launched and announced an index to Amazon’s public cloud data (open.quiltdata.com), enabling organizations globally to discover and share petabytes of data. The world’s cloud data is already larger than the world wide web and projected to expand 100 times over in the next five years. For the first time, Quilt enables anyone to search, understand and explore this vast universe of data with a standard web browser.

Pure Makes Customers “AI-First” Infrastructure a Reality

Pure Storage (NYSE: PSTG), a fast growing data storage company, announced a host of new and improved AI solutions that provide enterprise customers with the features and functionality needed to execute increasingly complex AI initiatives through any phase or scale. Built on Pure’s industry-leading file and object system, FlashBladeTM, and its joint AI-Ready Infrastructure (AIRITM) offering with NVIDIA, customers can develop and deploy AI rapidly to keep pace with modern business

HPE Accelerates Artificial Intelligence Innovation with Enterprise-grade Solution for Managing Entire Machine Learning Lifecycle

Hewlett Packard Enterprise (HPE) announced a container-based software solution, HPE ML Ops, to support the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. The new solution introduces a DevOps-like process to standardize machine learning workflows and accelerate AI deployments from months to days.

StreamSets Launches StreamSets Transformer

StreamSets, Inc., provider of the DataOps platform for modern data integration, released StreamSets® Transformer, a simple-to-use, drag-and-drop UI tool to create native Apache Spark applications. Designed for a wide range of users — even those without specialized skills — StreamSets Transformer enables the creation of pipelines for performing ETL, stream processing and machine-learning operations. Now, data engineers, scientists, architects and operators gain deep visibility into the execution of Apache Spark while broadening usage across the business.

Lucidworks Fusion 5.0 Features Data Science Toolkit Integration and Microservices Architecture Orchestrated by Kubernetes

Lucidworks, a leader in AI-powered search, announced the release of Fusion 5.0, the latest version of the company’s flagship product. Lucidworks Fusion 5.0 lets customers rapidly develop and deploy AI-powered search and data discovery applications in a modern, Kubernetes-based containerized architecture. This update includes features that simplify implementation for data science teams and developers to create both a more personalized experience for digital commerce customers and also improve employee productivity and engagement in the digital workplace.