In the news this week: IDC defines an interoperable framework for AI infrastructure stacks, digital twins get some attention, 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:
International Data Corporation (IDC) offered a first look at infrastructure stacks for Artificial Intelligence (AI) applications. In a report, IDC defines an interoperable framework for infrastructure stacks to deploy AI applications, referred to as the AI Plane (AIP). The reports also discuss vendor-specific implementations of AI infrastructure stacks that are currently available in the market. As building AI capabilities becomes increasingly urgent, IDC sees that businesses are confused about the process of building their own AI infrastructure stack. IDC sees a growing number of AI server, storage, and processor vendors develop AI stacks that consist of abstraction layers, orchestration layers, AI development layers, and data science layers that are intended to seamlessly operate together. These stacks typically combine open source software, proprietary software, and nonmonetized commercial software (such as CUDA) layers that are intended to help customers’ IT infrastructure teams, developers, and data scientists collaborate on a predesigned stack without having to build it themselves. IDC believes that AI infrastructure stacks provide a clear advantage to businesses. By offering an AIP framework, IDC hopes to provide a guide for IT vendors, encouraging them to improve the versatility of their stack, thereby increasing its ubiquitous adoption.
SAS Launched a free AI-driven environment to mine COVID-19 research. Specifically, the COVID-19 Scientific Literature Search and Text Analysis is a free visual text analysis environment that uses artificial intelligence (AI) and machine learning to quickly search tens of thousands of research articles on COVID-19 and deliver potentially lifesaving answers to these scientists. Drawing on AI, natural language processing, linguistic rules, and sophisticated modeling techniques, SAS’ COVID-19 Scientific Literature Search and Text Analysis environment enables quick and intelligent extraction of relevant text and numerical data from CORD-19. The free and publicly available environment aims to connect the global research community quickly and efficiently with the most relevant scientific literature through its self-guided, cloud-based system.
The Object Management Group (OMG), a non-profit trade association with founders Ansys, Dell Technologies, Lendlease, and Microsoft, announced the formation of Digital Twin Consortium. Members of the consortium will collaborate across multiple industries to learn from each other and develop and apply best practices. This new open membership organization will drive consistency in vocabulary, architecture, security, and interoperability to help advance the use of digital twin technology in many industries, from aerospace to natural resources.
TriggerMesh, a cloud-native integration platform provider built on Kubernetes, announced the preview release of EveryBridge Cloud Native Integration Platform in hosted access. EveryBridge enables event-driven applications on every infrastructure, exposing events to cloud-native applications no matter where they are running. TriggerMesh EveryBridge leverages Kubernetes and Knative to provide service integration across clouds and on-premises. The platform allows developers to accelerate digital transformation efforts by integrating cloud computing, SaaS, and on-premises applications, including legacy systems. Unlike iPaaS solutions, TriggerMesh focuses on application event flows with a cloud-first mindset.
Mist Systems, a Juniper Networks company, announced several new solutions that assist enterprises as they welcome employees, customers, and guests back onsite after current regional and global stay-at-home restrictions are lifted. Juniper customers can now perform key workplace business continuity safety tasks like proximity tracing, journey mapping, and hot zone alerting as part of strategic contact tracing and social distancing initiatives at a cost-effective price point. By leveraging Mist’s AI-driven Wi-Fi, patented virtual Bluetooth LE, and Premium Analytics solutions, these use cases can be delivered in a scalable manner, while simultaneously providing customers with the controls to protect individual privacy.
DarwinAI, the explainable AI company, announced a strategic collaboration with Lockheed Martin that seeks to improve Lockheed Martin’s customers’ understanding of AI solutions. Explainable AI (XAI) or “explainability” attempts to illuminate how neural networks – complex constructions that mimic the human brain – reach their decisions. The lack of understanding around AI’s decision-making process has hampered the widespread adoption of AI. In response to this industry-wide impasse, DarwinAI created an explainability platform for deep learning development powered by its proprietary technology. In addition to improving neural network efficiencies, the platform can dramatically reduce the time it takes to produce robust and accurate models through the insights it generates.
Element AI announced its first phase of research and development with Shinan AI, the newly launched AI-powered investment advisory services company, a subsidiary of Shinhan Financial Group. As part of the effort, Element AI has begun a research collaboration to integrate its AI forecasting technology with Shinan AI’s NEO investment advisory platform. Specifically, Element AI is applying its proprietary algorithms to offer a novel approach to forecasting equity indexes while providing for future extensibility to additional asset classes. These deep learning-based algorithms will help simplify and accelerate application and forecasting decisions support for the tracked indexes on the NEO platform.
VMware, Inc. announced the availability of the second generation of VMware Cloud on Dell EMC, a cloud service that combines the simplicity and agility of the public cloud with the security and control of enterprise-grade on-premises infrastructure. Jointly developed with Dell Technologies, this VMware service delivers simple, more secure, and scalable infrastructure-as-a-service to customers’ on-premises data center and edge locations. VMware Cloud on Dell EMC and features high-performance compute, storage, and networking capabilities powered by VMware vSphere, VMware vSAN, and VMware NSX running on Dell EMC VxRail. The service is designed to help IT organizations reduce operational complexity and accelerate innovation.
Informatic announced updates to its Intelligent Data Platform, powered by Informatica’s AI-powered CLAIRE engine. The updates are part of the company’s vision for Data 4.0. Informatica’s cloud-native, microservices-based, API-driven, and AI-powered Intelligent Data Platform helps unlock the untapped value of new data for enterprises by intelligently automating intensive, manual work that leaves room for errors; making data more accessible to enable self-service analytics; and delivering the visibility, flexibility, and scalability needed to make critical decisions rapidly while mitigating risk.
Oracle Financial Services has made its in-memory graph visualization tool, Investigation Hub, available in its enterprise case management application and in other third-party AML case managers. Investigators can interactively scrutinize money laundering networks and apply graph analytics to increase the effectiveness of their investigations. Unlike point solutions, this capability also saves on technology integration costs and the need for additional training on new tools.
WekaIO (Weka) announced its integration with the deep learning pipeline management solution from Valohai, a Weka Innovation Network (WIN) partner. The announcement empowers Data Scientists and Chief Data Officers to manage and prioritize data science pipelines. The tools from Valohai are supported in an Amazon Virtual Private Cloud (Amazon VPC), and available in AWS Marketplace.
Pegasystems Inc. announced Ethical Bias Check, a new capability of Pega Customer Decision Hub that helps eliminate biases hidden in the artificial intelligence (AI) driving customer engagements. The feature flags possible discriminatory offers and messages generated by AI across all channels before they reach the customer.
Redis Labs announced the general availability of RedisAI and RedisGears. Together, RedisAI and RedisGears transform Redis Enterprise into a low-latency, real-time data platform for highly scalable processing capabilities across any data model, while simultaneously inferencing artificial intelligence (AI) requests all within Redis.
Yellowbrick Data announced a strategic partnership with analytics software and services provider SAS to develop a customer-driven product roadmap and build integrated solutions for data analytics. The Yellowbrick/SAS partnership will enable customers to leverage their investment in SAS technology while benefiting from Yellowbrick’s modern hybrid cloud data warehouse, which offers unparalleled price/performance and scale, unique flexibility to run workloads in a data center or major public cloud, and predictable pricing—bringing deeper, richer insights and more agility to their organizations.
Atos and Siemens are working together with the pharmaceutical industry to improve production with an innovative solution based on a digital replica of the pharma production process. Currently being tested in the pharmaceutical industry, this “Process Digital Twin” for pharma manufacturing – powered by IoT, AI, and advanced analytics – is designed to provide improved efficiency and flexibility in the manufacturing of pharmaceutical products.
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In case you missed it, here are our most recent previous weekly real-time analytics news roundups: