Oracle, Microsoft, Intel, and TIBCO all make significant real-time analytics and edge computing announcements, 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:
The Fall is always the start of conference season. This year, even though all went virtual, conferences by Microsoft, Intel, and TIBCO all had major real-time analytics and edge computing news. At the same time, Oracle announced it was expanding its HPC offerings to help organizations match processors to workloads as applications move from development to training a model to use in a production environment. See the RTInsights coverage of these announcements here:
- Intel Aims to Gain Real-Time Edge
- Microsoft CEO Makes Case for Processing and Analyzing Data in Real Time
- TIBCO Aims to Drive Faster Adoption of Real-Time Analytics
- Oracle Expands HPC Cloud Service Options
In other news this week
Red Hat announced the release of Red Hat OpenShift Container Storage 4.5, delivering Kubernetes-based data services for modern, cloud-native applications across the open hybrid cloud. Tightly integrated with Red Hat OpenShift Container Platform, Red Hat OpenShift Container Storage 4.5 is designed to help organizations enable a more seamless data services architecture for applications. Red Hat OpenShift Container Storage is the dynamic persistent storage solution for many services on Red Hat OpenShift Container Platform, such as metrics, logging, and registry. With the recent release of Red Hat OpenShift Virtualization, businesses can host virtual machines and containers on a single, integrated platform, which includes Red Hat OpenShift Container Storage. Red Hat OpenShift Container Storage 4.5 provides the added benefits of highly available persistent storage, including shared read-write-many (RWX) block access for enhanced performance and a single, integrated storage solution for both containers and virtual machines.
Kofax, a supplier of Intelligent Automation software for digital workflow transformation, today announces Part 2 of its Kofax 2020 Intelligent Automation Benchmark Study, a Forrester Consulting thought-leadership paper commissioned by the company. Forrester Consulting surveyed over 900 IT decision-makers and employees from companies with annual revenue of over $1B to determine top 2020 priorities and to provide insights to help organizations on their digital transformations. Among the findings:
- 58% of organizations have deployed automation technologies to digitize information
- 98% of decision-makers report that adopting an unintegrated approach to automation resulted in unanticipated challenges.
- An intelligent automation platform can help provide the digital know-how to define your strategy for digital transformation
- Organizations using low-code intelligent automation platforms have the greatest success in digitally transforming their most valuable, information-intensive business workflows.
NetFoundry, a provider of zero trust, high performance, cloud-native networking, and Fortress Data Centers, a provider of mission-critical data environments at the Edge, introduce the first solution to enable end-to-end, cloud-based orchestration and delivery of edge and IoT applications, regardless of how many underlay networks and clouds they traverse. The Universal Connected Compute Service simplifies networking, enabling Intelligent Edge application developers to innovate, and provides an operational structure built for the continuous compute paradigm in which apps are composed of distributed microservices, APIs, and databases, with the workloads processed on compute spanning many edges and clouds. The Service provides instant, secure, performant, and scalable connectivity across edge and IoT app devices, Fortress Edge data centers, enterprise cores, and public clouds by integrating NetFoundry’s zero trust Network-as-a-Service (NaaS) platform with Fortress’s edge data center capabilities.
Iguazio, the data science platform built for production and real-time machine learning applications, announced a strategic partnership with Faktion, a boutique, end-to-end Artificial Intelligence (AI) service provider for smart mobility technologies across Europe. The two companies already have several joint European customers in the Smart Mobility space, tackling challenges such as dynamic congestion charges based on real-time data and detecting and acting upon driver fatigue. The partnership enables both companies to provide AI software infrastructure and services to smart mobility companies looking to harness big data and create AI applications that make travel in cities safer, greener, and more efficient.
dotData announced that dotData Enterprise is now commercially available on Microsoft Azure and accessible through the Microsoft Azure Marketplace. Integration of dotData’s AutoML 2.0 platform with Microsoft’s highly available, trusted, and scalable Azure cloud platform provides increased speed and efficiency of data science and machine learning processes coupled with Azure’s strong managed IaaS/PaaS capabilities. In addition, dotData has added Microsoft SQL Server and Azure SQL Database connectors, which allows users to quickly and easily develop AI/ML models based on data stored in their corporate databases. By choosing the “Transact” option on the dotData solutions page in the Azure Marketplace, customers can contract directly through the Azure Marketplace for rapid deployment and implementation of the dotData platform.
causaLens, a deep-tech company predicting and optimizing the global economy, released the world’s first causal Artificial Intelligence (causal AI) enterprise platform. The causaLens platform defines a new category of machine intelligence. Its next-generation AI engine harnesses an understanding of cause and effect relationships to directly optimize business KPIs. The causal AI platform offers the advantages of comprehensive automation, allowing thousands of data sets to be cleaned, sorted, and monitored at the same time. However, it combines it with causal models and insights that are truly explainable – traditionally the sole province of domain experts. Unique human knowledge is harnessed through intuitive interfaces for human-machine partnerships.
GOWIN Semiconductor Corp. released the latest version of their GoAI machine learning platform, providing an SDK and accelerator to perform machine learning for edge inference using convolutional neural networks on GOWIN FPGAs. GOWIN GoAI 2.0 offers direct integration into the TensorFlow and TensorFlow Lite Machine Learning Platforms, optimization for targeting GOWIN’s GW1NSR4P µSoC FPGA, and an accelerator to offload compute-intensive functions from the microcontroller embedded within GOWIN FPGAs with additional 80x performance. With GoAI 2.0, no FPGA RTL or microprocessor C/C++ programming is required. The C/C++ code to drive the accelerator from the ARM Cortex-M processor is generated automatically by the GoAI 2.0 SDK. The GoAI 2.0 accelerator is offered as an FPGA IP but is also included as part of pre-generated FPGA bitstreams with various types of sensor inputs. The GoAI 2.0 accelerator architecture is designed such that only a register map needs to be updated per model layer by the processor, and no RTL changes are required to deploy or change the machine learning model used.
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:
