In this week’s real-time analytics news: Financial services and security powerhouses boost offerings with AI-enhanced services, 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 is a short list of some news from this week:
Visa Inc. announced VisaNet +AI, a suite of AI-powered services that address long-standing challenges and pain points for banks, merchants, and consumers. VisaNet +AI comprises several innovative concepts and new value-added services, including Visa Smarter Posting and Visa Smarter Settlement Forecast, as well as Visa Smarter Stand-In Processing (Smarter STIP), a capability announced in August of last year. These capabilities harness Visa’s high-performance AI platform to help make payments more predictable, transparent, and speedy.
RSA announced the general availability of RSA NetWitness Detect AI, a cloud-native advanced analytics and machine learning solution that provides rapid detection and actionable insights on data captured by the RSA NetWitness Platform. RSA NetWitness Detect AI applies cloud-scale processing for behavior analytics and uses unsupervised machine learning to detect and respond to threats without manual oversight. The all-new SaaS solution provides high-fidelity, actionable insights on data captured by the RSA NetWitness Platform that empowers security teams to find, prioritize, and resolve threats faster and more efficiently.
IBM unveiled its highly-specialized Hybrid Cloud Build Team to support the migration and modernization of ecosystem partner products, services, and other offerings across open hybrid cloud environments. Following the successful model of the IBM Data Science and AI Elite Team and the recent introduction of the IBM AIOps Elite Team, both focused on artificial intelligence, the Hybrid Cloud Build Team concentrates on helping partners update their workloads for deployment on-premises, in the cloud, or any environment of their choosing. The elite engagement team consists of over 100 cloud architects, data scientists, cloud developers, security specialists, and developer advocates who work on the agile co-creation of advanced technology solutions for partners and their clients. The team also advises partners on how they can best accelerate the transition of their products, services, and other offerings to open hybrid cloud environments, including those in some of the most highly-regulated and sensitive industries like financial services and telecommunications. With deep expertise in Microsoft Azure, IBM Cloud, AWS, and many more environments, the IBM Hybrid Cloud Build Team helps its ecosystem partners revamp workloads across all cloud platforms and providers while infusing new technologies like AI, 5G, Kubernetes, blockchain, and edge to optimize business operations and improve client outcomes.
Hazelcast released an update to its stream processing engine, Hazelcast Jet, that simplifies the migration to hybrid cloud environments by adding an Amazon Kinesis connector for out-of-the-box integrations with the leading messaging bus on Amazon Web Services (AWS). These additions to the streaming engine also standardizes access methods to cloud storage via SQL, which enables enterprises to build low-latency applications more easily and leverage a fast access and query layer driven by a fast, in-memory digital integration hub (DIH) powered by Hazelcast. The addition of a DIH to existing infrastructure reduces the number of calls and ultimately the stress on legacy and back-end systems while enabling the integration of modern technologies that add more capabilities for an architectural modernization strategy.
VMware announced enhancements across its VMware vRealize Cloud Management portfolio. The new and enhanced capabilities help businesses more securely deploy and operate their hybrid and multi-cloud environments. The new versions of its offerings enhanced event and data-driven infrastructure automation; improve security for AI-powered operations; deliver network visibility and troubleshooting for applications, networks, and security; and provide increased visibility into potential issues and support requests across teams.
The Cloud Native Computing Foundation (CNCF) announced the graduation of Open Policy Agent (OPA). OPA is an open-source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. The project was accepted into the CNCF sandbox in April 2018 and one year later was promoted to incubation. More than 90 individuals from approximately 30 organizations contribute to OPA, and maintainers come from four organizations, including Google, Microsoft, VMware, and Styra. OPA has demonstrated widespread adoption, an open governance process, feature maturity, and a strong commitment to community, sustainability, and inclusivity to move from the maturity level of incubation to graduation. To officially graduate from incubating status, the project was certified for CII Best Practices Badge, completed security audits and addressed vulnerabilities, defined its own governance, and adopted the CNCF Code of Conduct.
vFunction emerged from stealth and announced a purpose-platform built to transform complex, monolithic Java applications into microservices automatically, efficiently, and intelligently. vFunction is a cloud modernization platform that lets the enterprise modernize legacy Java applications and leverage the benefits of the cloud, including elasticity, reduced cost, and restored engineering velocity. By combining dynamic analysis, static analysis, data science, and automation, the vFunction platform can extract any service from a monolith and transform it into a compilable, working microservice. Unlike generic profiling tools and expensive consulting projects, the vFunction platform provides a repeatable, automated factory model purpose-built for scalable cloud-native modernization.
RapidMiner announced a partnership with Hivecell to allow users to rapidly create and operate models with streaming data from the edge. With this integration, the RapidMiner platform can be integrated into the Hivecell architecture, allowing Hivecell users to pool together data and build models centrally. These RapidMiner models are then pushed back out to the units at the edge for swift implementation and execution, guiding device- and location-specific decision making.
Observe.AI announced that they will be working with Microsoft to bring the power of automation and AI to enhance customer experiences, improve compliance, and boost agent performance. Observe.AI is a Contact Center AI solution that analyzes 100 percent of voice and chat interactions, extracts actionable sentiment insights, and automates evaluation workflows. Leveraging Observe.AI and Microsoft together, enterprises can apply AI to modernize their customer service teams across use cases like customer support, sales, compliance, and workforce optimization. To accomplish this, Observe.AI leverages Microsoft’s Azure Machine Learning services to train its deep learning AI models, which enables more accurate interaction and sentiment analytics for customers.
Colfax International announced the availability of accelerated computing solutions supporting Generation 2 of the NEC SX-Aurora TSUBASA/Vector Engine accelerators with Type 20 (VE20) processors. Colfax’s solutions supporting Generation 2 of the NEC SX-Aurora TSUBASA/Vector Engine accelerators can provide significant application-level performance gains for traditional (e.g., HPC) and non-traditional (e.g., high-performance data analytics or sparse data-based AI/ML) applications by using just an existing CPU-targeted or SIMD-aware application source code. With features like auto-vectorization and auto-parallelization or with minimal changes in existing CPU-targeted code, like compiler optimization level or pragmas (compiler directives in the code), users can use the Vector Engine accelerator processor with no special constructs required.
Kite, an AI-powered coding assistant that helps programmers code faster with Multi-Line Completions, announced the availability of the Kite Team Server. Kite Team Server is an enterprise-ready, self-hosted Machine Learning (ML) engine for four-token autocomplete technology. Today’s product release builds on the existing UI of Kite Free, which 400,000 developers use to code 18% faster each month. Kite Team Server provides better code completions, more often, due to the deployment of an advanced GPU that sits inside a company’s internal network. The Kite Team Server GPU trains personalized ML models based on a company’s proprietary codebase so that code never leaves a company’s network. Completions shown by Kite Team Server guide developers to repeat idioms and patterns from internal code.
Real-time analytics news in brief:
CyberLink Corp. announced a high-level integration with all Powered by Nx VsaaS solutions developed by Network Optix. The integration of CyberLink’s FaceMe Security software with Powered by Nx VSaaS solutions makes it possible for system integrators to add face recognition to IP video systems for any application – including smart city, retail, industrial facilities, hospitality, and many additional use cases.
NI SP GmbH and The UberCloud Inc. announced they have entered into a strategic partnership, combining NI SP’s 3D VDI and HPC Solutions with UberCloud’s HPC container technology and its Engineering Simulation Cloud Platform. The partnership focuses on cloud services for more efficient and productive engineering simulations in CAE, life sciences, oil and gas, big data analytics, digital twins, and machine learning.
Yellowbrick Data announced that g2o has joined the company’s partner program, ensuring that customers in the East North Central U.S. can deploy cloud data warehouse solutions at scale with superior data performance and high-touch human service. Customers can get data insights in real-time from all their data, regardless of where it is in the cloud, at the edge, and in data centers.
Untether AI announced a partnership with Colfax International in which Untether’s tsunAImi accelerator cards, powered by the runAI devices, are now available in the Colfax AIEdge servers. Untether AI’s tsunAImi accelerator cards help companies running AI workloads to run neural networks faster, cooler, and more cost-effectively using at-memory computing.
AtScale announced a partnership with DataRobot to deliver a turnkey approach to predictive and descriptive data analysis. The partnership builds a bridge between data science and business intelligence to incorporate and share the same KPIs used for predictive and prescriptive business decisions.
WekaIO (Weka) announced the Limitless Data Platform, a fast and scalable platform for running modern enterprise workloads. The Weka data platform is designed for modern enterprise workloads such as artificial intelligence/machine learning (AI/ML), life sciences research, and high-performance data analytics (HPDA).
Cambridge Quantum Computing (CQC) partnered with Platform and Ecosystem for Quantum-Assisted Artificial Intelligence (PlanQK) to support the development of an open platform and ecosystem for Quantum-assisted Artificial Intelligence (QAI).
ADLINK Technology launched the latest version of its DLAP x86 series, a compact GPU-enabled deep learning acceleration platform. The DLAP x86 series targets the deployment of deep learning in volume, at the edge where data is generated and actions are taken.
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:
