In this week’s real-time analytics news: Deloitte offers an AI-as-a-service solution, Oracle and Katana Graph boost performance with Xeon Ice Lake processors, and more.
Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the items our staff came across each week. Here are some of the news items from this week:
Deloitte introduced ReadyAI, a full portfolio of capabilities and services to help organizations accelerate and scale their artificial intelligence (AI) projects. ReadyAI brings together skilled AI specialists and managed services in a flexible AI-as-a-service model designed to help clients scale AI throughout their organizations. With Deloitte’s ReadyAI, organizations now have access to the services, technology, and expertise they need to accelerate their AI journey. ReadyAI offers comprehensive service capabilities, including:
- Data preparation: Provide data extraction, wrangling, and standardization services. It also supports advanced analytical model development through feature engineering.
- Insights and visualization: Design and generate reports and visual dashboards utilizing data output from automations to improve business outcomes and automation performance.
- Advanced analytics: Data analysis for both structured and unstructured data. Creation of rule-based bots and insights-as-a-service.
- Machine learning and deep learning: ML and deep learning model development. Video and text analytics to assist conversational AI.
- Machine learning deployment: Create deployment architecture and pipelines for upstream and downstream integration of ML models.
- Model management and MLOps: Management of model performance, migration, and maintenance. Automation of model monitoring process and overall DevOps for machine learning.
Oracle announced Compute instances with 3rd Gen Intel Xeon Ice Lake processors, Intel’s 3rd Generation Xeon scalable processors. The instances are aimed at providing enterprise-grade capability for compute-intensive workloads. These instances are ideal for workloads that require the highest single-threaded performance, such as batch processing, video encoding, electronic design automation (EDA), distributed analytics, data science, and AI Inference workloads. These new instances provide performance gains of up to 42% over the prior generation of X7 HPC instances. Moreover, these Intel-powered instances are the first to feature our flexible Compute capabilities, which enable you to choose any granular number of cores and amount of memory to suit your workload’s needs.
Katana Graph announced that it has optimized its graph engine for the new 3rd Gen Intel Xeon Scalable processor and memory systems. Katana Graph can now take advantage of this latest generation Intel Xeon Scalable processors and Intel Optane persistent memory technology to process massive graphs on much smaller clusters. This will better support organizations with huge unstructured datasets and graphs, including online retailers, financial institutions, and identity management companies, in understanding their customers, operations, and opportunities. Katana Graph’s platform is deployable right out of the box on both 2nd Gen and 3rd Gen Intel Xeon Scalable processors with Intel Deep Learning Boost, with no additional modifications required. On 3rd Gen Xeon Scalable processors, Katana Graph’s solution offers a marked improvement in speed combined with the ability to process much larger datasets while using fewer machines.
Trifacta announced an expansion to its platform to deliver a data engineering cloud with capabilities to fully support modern data engineers, who apply software development and DevOps practices to build curated, accessible data products for advanced data insights and analytics. Trifacta now offers multi-cloud support, flexible execution (users can choose between ETL or ELT, or a combination of the two based on cost), and universal connectivity to any application with data from more than 180 enterprise data sources and publish refined data to spreadsheets, BI, and reporting tools, as well as to data science notebooks. The connectivity of the Trifacta data engineering cloud is extended with Trifacta’s REST, XML, and JDBC frameworks. The platform offers intelligent data tools that provide self-monitoring and, in some cases, automated remediation of issues that would normally disrupt data pipelines.
Yellowbrick Data announced Yellowbrick Manager, which gives customers unified control of data warehouses across distributed clouds, and the general availability of its new Andromeda optimized instance for customers with data sovereignty or high-performance requirements. Yellowbrick Manager is a rich web UI that offers a consistent management experience across all data warehouse deployments in distributed clouds. It simplifies loading data, writing, and editing SQL, and managing Yellowbrick databases. Additionally, the company has augmented its existing data lake integration capabilities to include native object store connectivity. The new functionality enables high-performance data loading and querying from files in Amazon S3, Azure Data Lake Storage Gen2 (Google Cloud Storage coming soon), and MinIO object stores. With the native object store feature, users can load petabytes of data from object stores into Yellowbrick, orchestrated through Yellowbrick Manager, or via SQL using their preferred tools.
Amazon Web Services (AWS) announced the general availability of Amazon Lookout for Equipment, a new service that uses AWS-developed machine learning models to help customers perform predictive maintenance on the equipment in their facilities. Amazon Lookout for Equipment ingests sensor data from a customer’s industrial equipment (e.g., pressure, flow rate, RPMs, temperature, and power), and then it trains a unique machine learning model to accurately predict early warning signs of machine failure or suboptimal performance using real-time data streams from the customer’s equipment. With Amazon Lookout for Equipment, customers can detect equipment abnormalities with speed and precision, quickly diagnose issues, reduce false alerts, and avoid expensive downtime by taking action before machine failures occur. There are no up-front commitments or minimum fees with Amazon Lookout for Equipment, and customers pay for the amount of data ingested, the compute hours used to train a custom model, and the number of inference-hours used.
ScaleOut Software released the on-premises version of its ScaleOut Digital Twin Streaming Service with all of the analytics and visualization tools available from its Azure-hosted cloud version. Called ScaleOut StreamServer DT, the solution lets organizations develop and deploy streaming analytics applications on servers hosted within their infrastructure. ScaleOut Software’s in-memory, streaming analytics platform continuously aggregates and visualizes analytics results from real-time digital twins to identify emerging trends and boost situational awareness. This new technique offers the potential to change the way industries like telematics, security monitoring, healthcare, logistics, retail, and financial services process live data streams and make critical decisions in the moment.
Tetrate announced the general availability of Tetrate Service Bridge (TSB) 1.0, a platform-agnostic and cloud-agnostic application connectivity platform that is already being used in production by Fortune 500 companies. Created by Istio founders, Tetrate Service Bridge is an edge-to-workload application connectivity platform that provides enterprises with a unified and consistent way to connect and secure services across a mesh-managed environment. It’s specifically designed for organizations that have multi-cluster, multitenant, and multi-cloud deployments. By providing seamless connectivity between traditional and modern workloads, Tetrate Service Bridge makes it faster and safer to modernize and incrementally migrate, without the fear of downtime. With TSB, users can embrace public, private, or hybrid cloud faster.
MANTA announced a new partnership with Neo4j to embed Neo4j’s graph database technology directly into MANTA’s platform for further pipeline analysis. MANTA’s automated lineage platform allows users to understand how data flows and transforms throughout its journey across all systems. A complete map of all data sources, flows, transformations, and dependencies enables data users to assign context to their data. The insights harvested with lineage become the gateway to developing data-driven strategies, making informed decisions, complying with data privacy regulations, and implementing overall data governance. By embedding Neo4j’s graph database technology within MANTA’s lineage platform, customers will have a greater degree of flexibility when expanding a data model and will have the agility to respond to changing business needs faster.
Snorkel AI announced Application Studio, a visual builder with templated solutions for common AI use cases based on best practices from hundreds of deployments and research at top academic institutions over the last six years. Application Studio is in preview and will be generally available later this year within Snorkel Flow, the first AI development platform to programmatically label data and train, deploy, and analyze models iteratively. With the introduction of Application Studio, Snorkel AI lets enterprises develop AI applications faster than ever before. Application Studio provides data scientists, developers, and subject matter experts with pre-built solution templates, high-performance models, collaborative workflows, auditable and adaptable capabilities, and data privacy at enterprise scale.
Canonical and Open Robotics announced a partnership for Robot Operating System (ROS) Extended Security Maintenance (ESM) and enterprise support, as part of Ubuntu Advantage, Canonical’s service package for Ubuntu. ROS support will be made available as an option to Ubuntu Advantage support customers. As a result, users already taking advantage of critical security updates and Common Vulnerabilities and Exposures (CVE) fixes now have a single point of contact to guarantee timely and high-quality fixes for ROS. Together, the two companies support the robotics community by making ROS robots and services easier to build and package, simpler to manage, and more reliable to deploy.
In other Canonical news, the company announced full enterprise support for Kubernetes 1.21, from cloud to edge. Canonical Kubernetes support covers MicroK8s, Charmed Kubernetes, and kubeadm. Starting with 1.21, moving forward Canonical commits to supporting N-2 releases as well as providing extended security maintenance (ESM) and patching for N-4 releases in the stable release channel. This allows customers to get new features and product updates for all upstream supported versions and access extended security updates from Canonical for versions no longer supported by the upstream, thus aligning with all major cloud providers for enterprise hybrid cloud Kubernetes deployments.
Waylay announced it has launched its Waylay Digital Twin application on Salesforce AppExchange, providing visibility on data and performance of connected assets and empowering customers to ride the wave of digital transformation and servitization. Waylay Digital Twin is a SaaS application for Salesforce business users that bridges between the IoT/OT world and Salesforce. Under the hood, it leverages the ultra-scalable and performant Waylay PaaS automation and analytics technology. The Waylay Digital Twin app enhances IoT asset monitoring and analytics. The app creates digital twins that bind Salesforce assets to physical assets and analyzes real-time IoT data streams. The native and intuitive no-code interface brings the power of IoT to users. Waylay Digital Twin is compatible with both AWS and Azure-based IoT solutions. Built on the Salesforce Platform, Waylay Digital Twin is currently available on AppExchange.
Alluxio announced a go-to-market solution in collaboration with Intel to offer an in-memory acceleration layer with 3rd Gen Intel Xeon Scalable processors and Intel Optane persistent memory (PMem) 200 series. The solution enables high-performance analytics and AI pipelines at a massive scale while minimizing the Total Cost of Ownership (TCO) by more seamlessly managing data in local storage tiers close to compute. Intel Optane PMem provides a cost-effective storage tier for Alluxio managed data while accelerating performance with a disaggregated compute and storage architecture. The solution builds on Alluxio’s strategic collaboration with Intel aimed at improving their customers’ experience with managing and processing their data, such as optimizations for Intel Deep Learning Boost and the AI acceleration technology built into the latest Intel Xeon Scalable processors. With its latest release, Alluxio now improves POSIX API support to further accelerate machine learning (ML) and artificial intelligence (AI) workloads in addition to new storage connectors for cloud object storage. Alluxio will bring these solutions to market to help fuel next-generation data, analytics and AI applications.
Streamlit introduced Streamlit for Teams, the company’s first commercial product. Streamlit for Teams lets data scientists instantly deploy and share apps with teammates, clients, and other stakeholders so they can make rapid, data-informed decisions based on the insight from the apps. Streamlit for Teams is a zero-effort cloud platform to securely deploy, manage, debug, and collaborate on apps. The product deploys apps directly from private Git repos and runs continuous integration to instantly update apps on commits. It layers on enterprise-grade data security and OAuth2-based authentication as well as advanced collaboration features for both data scientists and their customers.
Real-time analytics news in brief:
Habana Labs announced that its artificial intelligence (AI) training and inference accelerators have been selected by the San Diego Supercomputer Center (SDSC) at UC San Diego to provide high-performance, high-efficiency AI compute in its Voyager supercomputer. Scheduled to be in service in the fall of 2021, Voyager will be dedicated to advancing AI research across a range of science and engineering domains. The system build-out, as well as ongoing community support and operations, are funded by a grant from the National Science Foundation.
Ekata announced its Merchant Onboarding solution to help payment service providers (PSPs), B2B lenders, and marketplaces onboard the growing number of micro-merchants and sole proprietors across the globe faster and with more confidence. By providing unique data that cross-checks the connection between businesses and the individuals behind them, Ekata’s new merchant onboarding solution enables organizations to confidently assess risk at scale, automate onboarding workflows, and reduce time spent in manual review.
Qlik announced a further expansion of its relationship with Amazon Web Services (AWS) with the launch of a collaborative solution that will help enterprises drive more value from SAP data with cloud analytics. Customers can now seamlessly and easily leverage Qlik Data Integration to deliver real-time, analytics-ready data from their SAP systems into AWS, accelerating and enabling cloud data warehousing, data lakes, and machine learning initiatives.
Lumina Datamatics (LDI) and Gutenberg Technology (GT) announced a new strategic partnership. Lumina Datamatics will integrate its rights and permissions and other platforms with the GT platform and will license the new solution to further streamline content production for their portfolio of clients. In turn, GT’s customers will benefit from Lumina Datamatics services, such as transforming legacy content into digital-first courseware and support for production processes that cannot be fully automated.
Anodot and Coralogix have partnered to provide an integrated solution that monitors business operations and applications. The integration between Anodot’s business monitoring and Coralogix’s data platform enables customers to improve how they leverage data to find and remediate issues they would have otherwise missed while solving log maintenance autonomously.
WitFoo, the intelligent SECOPS platform fueled by big data analytics, announced today a partnership with CyberOpz, a cybersecurity solutions provider, to offer Precinct as a service to its customers. As a result of this partnership, CyberOpz will utilize Precinct, in concert with other security services, to offer customers a 24-hour guarantee to recover from any ransomware attack.
Pelion, a subsidiary of Arm, announced a partnership with Johnson Controls to accelerate innovation by removing the complexities of bringing artificial intelligence (AI) to a diversity of devices at the edge, enabling smarter buildings that evolve and adapt through Johnson Controls OpenBlue technology. Johnson Controls will leverage Pelion’s connected device platform for IoT device management services that simplify monitoring, maintaining, and improving the health, security, and performance of edge devices and real-time analytics workloads.
ETQ announced Reliance NXG, the next generation of the company’s comprehensive and flexible quality management software for quality-centric customers in manufacturing, life sciences, electronics, food and beverage, automotive, aerospace, and more than a dozen additional industries. The latest version of Reliance is a fully multi-tenant SaaS offering that delivers the limitless power of cloud-native technology.
Wind River announced that Wind River Studio is now included as part of the Intel Select Solutions for Virtual Radio Access Network (vRAN). Studio is the industry’s first cloud-native platform for the development, deployment, operations, and servicing of intelligent systems where security, safety, and reliability are required.
If your company has real-time analytics news, send your announcements to [email protected].
In case you missed it, here are our most recent previous weekly real-time analytics news roundups: