Real-time Analytics News Roundup for Week Ending October 10

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:

IBM announced it will accelerate its hybrid cloud growth strategy to drive digital transformations for its clients. Additionally, IBM will separate its Managed Infrastructure Services unit of its Global Technology Services division into a new public company. By spinning off the managed infrastructure services part of the company, IBM will focus on its open hybrid cloud platform. Building on IBM’s hybrid cloud foundation, the company acquired Red Hat to unlock the full value of the cloud for clients, further accelerating adoption of the platform. This platform facilitates the deployment of powerful AI capabilities to enable the power of data, application modernization services, and systems. These are all underpinned by the security, unmatched expertise in industry verticals, and deep commitment to open source innovation that clients expect from IBM. The separation is expected to be achieved as a tax-free spin-off to IBM shareholders and completed by the end of 2021.

Quantum Computing Inc., a provider of quantum-ready applications and tools, released version 3.0 of its Mukai quantum software development and execution platform. The new version delivers greater problem-solving capability, more simplified software development and execution, and built-in connections to a wide selection of the world’s most powerful quantum computers (QCs), along with industry-first capabilities. Examples of real-world problems Mukai can now more effectively address include reducing the impact to revenue or business operations posed by adverse environmental conditions, like hurricanes, floods, wildfires, and power outages. Companies can use Mukai to minimize such disruptive, high-impact events in real-time by helping to guide their response.

Swim, the developer of an open core platform for continuous intelligence at scale, announced Swim Continuum 4.0, the newest release of its flagship product. Providing enterprises with a live window into the current state of their business by concurrently processing and analyzing streaming and contextual data, Swim Continuum 4.0 offers a comprehensive view of all aspects of operating and managing continuous intelligence applications at scale through a single pane of glass experience. A comprehensive, end-to-end platform, Swim Continuum dynamically creates digital processes from real-world entities to transform, analyze, learn, and act on data at the speed of change, proactively delivering insights through automated responses and visualizations. With its latest release, Swim Continuum adds deep, browser-based insights into the resiliency and performance of Swim deployments. An advanced, easy-to-use UI enables end users to monitor applications, inspect data streams, configure meaningful traits, and connect with external systems through a single pane of glass experience.

Automation Anywhere, a provider of robotic process automation (RPA) solutions, announced AARI (Automation Anywhere Robotic Interface), a smart digital assistant designed for a new era of work that brings consumer experiences to the enterprise.  Available via Automation Anywhere’s award-winning, cloud-native RPA platform, Enterprise A2019, AARI makes it easy for anyone to participate in the automation of day-to-day business tasks through business-friendly user interfaces. AARI represents a dramatic departure from other automation technology available today by simplifying tasks, like reporting and staying on top of urgent requests, collaborating with colleagues, apps, and bots, automating escalations and approvals to speed up requests, as well as increasing customer satisfaction with a faster call resolution.

ABBYY, a Digital Intelligence company, announced it has partnered with Alteryx, Inc., which offers analytic process automation (APA™) solutions, to deliver process intelligence capabilities that complement the Alteryx Analytic Process Automation Platform™. The Alteryx APA Platform™ unifies analytics, data science, and data-centric process automation in one self-service platform. ABBYY brings process intelligence to both data and operational processes to automate otherwise complex hand-offs. By leveraging ABBYY Process Intelligence with the Alteryx APA Platform, users can better initiate, analyze, predict, and monitor end-to-end analytics and operational process execution and value. In addition, the partnership enables organizations to speed insights needed to identify the most impactful processes for automation and determine which processes will drive the greatest return on investment (ROI).

AMAX’s HPC and AI Solutions Group updated its ultra-high-performance storage solution series, StorMax, an all-flash and hybrid-flash storage solutions featuring 200Gb/s NVMe over Fabrics on InfiniBand with Mellanox ConnectX-6 adapters. StorMax platforms high-performance, secure, and scalable architectures, with unmatched price-performance storage capability that accelerates all AI computing, database, big data analytics, cloud, web 2.0, and video processing data. AMAX designed the StorMax high-performance storage series to optimally pair with the latest NVIDIA A100 GPU compute solutions combined with NVIDIA Mellanox 200Gb/s high-speed networking to supply compute and storage I/O through streamlined parallelism, performance, and scale.

Hazelcast announced that IBM will offer the Hazelcast In-Memory Computing Platform (IMCP) integrated as part of IBM’s Cloud Pak offerings, enterprise-ready containerized software running on Red Hat OpenShift. IBM’s Cloud Paks, including the Cloud Pak for Multicloud Management, can now integrate Hazelcast’s in-memory computing capabilities. IBM customers will be able to tap into Hazelcast’s ultra-fast in-memory processing architecture to help advance application modernization initiatives and next-generation data-centric applications. The combination of IBM Edge Application Manager and IBM Cloud Pak for Applications as the control plane coupled with the Hazelcast In-Memory Computing Platform as the data plane running at the edge offers customers a flexible, low-latency edge computing option.

Deep-AI Technologies launched an integrated training and inference solution for deep learning at the edge. With Deep-AI, every inference node at the edge also becomes a training node, enabling faster, cheaper, scalable, and more secure AI versus today’s cloud-centric AI approach. Deep-AI’s solution runs on off-the-shelf FPGA cards, eliminating the need for GPUs, and provides a 10X gain in performance/power or performance/cost versus a GPU. The FPGA hardware is completely under-the-hood and transparent to the data scientists and the developers designing their AI applications. Standard deep learning frameworks are supported, including Tensorflow, PyTorch, and Keras.

Shipa Corp. launched an application-centric framework for developing, deploying, and managing cloud-native applications. The platform works across the entire application lifecycle – and with easy integration into existing CI/CD workflows. With Shipa, the infrastructure is completely abstracted away from developers, who can stay focused on code. Importantly, developers get all the benefits of Kubernetes – instantly – without needing to learn Kubernetes. Shipa automatically creates all required Kubernetes objects and configuration files and deploys them to all clusters requiring them. Shipa does this while providing developers with application-level context. The infrastructure components never need to be managed since Shipa provides a comprehensive set of out-of-the-box integrations to common tools.

If your company has real-time analytics news, send your announcements to ssalamone@rtinsights.com.

In case you missed it, here are our most recent previous weekly real-time analytics news roundups:

• Real-time Analytics News Roundup for Week Ending October 3
• Real-time Analytics News Roundup for Week Ending September 26
• Real-time Analytics News Roundup for Week Ending September 19