In the news this week: SAS offers tools to gauge the risks of reopening, Booz Allen Hamilton selected to support GSA and DoD joint AI center, 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:
SASdebuted tools for organizations, data scientists, and citizen scientists to gauge the risks and impacts of reopening. Designed for data and analytics professionals, COVID-19 Epidemiological Scenario Analysis is an extension of the collaboration between SAS and the Cleveland Clinic, helping hospitals plan current and future needs with predictive modeling. A new user-driven interface now enables the analytics community to run the same public models that are also available on GitHub.
The new analysis environment uses AI-enabled SAS Health on SAS Viya to project the impact of a disease outbreak on the population through various user-driven scenarios, following the population flow through an epidemic’s four stages: susceptibility, exposure, infection, and recovery. The scenario results help governments, health care organizations, and equipment manufacturers better understand medical resource needs (like hospital and ICU beds and ECMO and ventilator utilization).
To mobilize the citizen scientist, the Novel Coronavirus Vulnerable Populations Dashboard uses SAS Visual Analytics on Viya and the SAS Visual Analytics SDK to allow users of any experience (or none at all) to probe data from their region to understand community-specific risks and make better-informed decisions. Users can drill down into visualizations and pinpoint areas with high volumes of at-risk individuals. They can see Medicare nursing home providers by state and, in many instances, by county and dive into various population segments, including seniors and populations with chronic conditions and comorbidities. Additionally, they can access data – sourced from the Centers for Disease Control and American Community Survey – via the free Data Discovery Environment to further explore data through predictive models, forecasts, and reports.
Booz Allen Hamilton announced that the company has been awarded a five-year, $800 million contract by the General Services Administration’s (GSA) Federal Systems Integration and Management Center (FEDSIM) and the Department of Defense (DoD) to provide artificial intelligence (AI) services to support the Joint AI Center (JAIC). Under this task order, awarded through the GSA Alliant 2 Governmentwide Acquisition Contract, Booz Allen will support the JAIC’s Joint Warfighting National Mission Initiative (JWNMI), serving as the prime systems integrator in the development of new AI technologies and products to improve operational effectiveness in all domains. In this capacity, Booz Allen will coordinate and work hand-in-hand with industry to source and integrate the best technologies to meet JWNMI’s complex requirements and deliver world-class AI capabilities.
IBM announced it was exiting the facial recognition market. Specifically, IBM CEO Arvind Krishna sent a letter to Congress explaining why it was exiting the general-purpose facial recognition business. In the letter, Krishna said IBM opposes the use of the technology for mass surveillance and racial profiling. The letter also noted that IBM would like to work with Congress in pursuit of justice and racial equity, focused initially in three key policy areas: police reform, responsible use of technology, and broadening skills and educational opportunities.
Cloudera announced the premiere of Cloudera Data Platform Private Cloud (CDP Private Cloud). CDP Private Cloud is built for hybrid cloud, seamlessly connecting on-premises environments to public clouds with consistent, built-in security, and governance. The enterprise data cloud delivers powerful, self-service analytics across hybrid and multi-cloud environments, delivering value from the Edge to AI. With the ability to fully implement the enterprise data cloud vision, IT support any analytic function on any cloud, enabling the speed and agility the business wants with the security and governance it demands.
Domino Data Lab debuted its new Domino Model Monitor product (“DMM”) and new features to help enterprises accelerate research and manage data science at scale. DDM helps address the issue of drift, where machine learning model accuracy degrades over time for a variety of reasons. DMM lets organizations automate alerts for drift in all their models, regardless of where those models were developed or deployed, reducing the risk of financial loss and degraded customer experience from undetected model drift.
Hewlett Packard Enterprise (HPE) announced advancements to HPE Primera and HPE Nimble Storage, including an AI-driven, self-healing, and self-optimized system that delivers real-time autonomous operations. This is part of a comprehensive update to the Intelligent Data Platform that provides customers with an AI-driven, built for cloud, as a service offering that results in unmatched application availability and performance, agility, and automation.
Automation Anywhere announced new capabilities for its digital workforce platform to make businesses more resilient. New capabilities to address automation friction points and empower businesses to democratize automation in the enterprise include attended automation (human-to-bot collaboration advancements), seamless API-based integration, a new developer portal for RPA skills enhancement, and the launch of Private Bot Store.
UiPath, an enterprise Robotic Process Automation (RPA) software company, and a member of the Oracle PartnerNetwork (OPN), announced a strategic technology collaboration with Oracle that combines powerful RPA with Oracle Cloud Infrastructure and business applications. This collaboration enables customers to streamline critical workflows and complex processes and to focus on strategic tasks that require a human touch. By driving productivity and accelerating digital transformation, customers can now use end-to-end automations that eliminate manual errors and reduce operational costs.
Aruba, a Hewlett Packard Enterprise company, introduced Aruba ESP (Edge Services Platform), an AI-powered, cloud-native platform that predicts and resolves problems at the network edge before they happen. Built on AIOps, Zero Trust network security, and a Unified Infrastructure for campus, data center, branch, and remote worker locations, Aruba ESP delivers an automated, all-in-one platform that continuously analyzes data across domains, ensures SLAs, identifies anomalies, and self-optimizes, while seeing and securing unknown devices on the network. Aruba ESP is designed to deliver a cloud experience at the edge and can be consumed either as a service in the cloud or on-premises, as a managed service delivered through Aruba partners, or via network as a service through HPE GreenLake.
ABBYY launched a global initiative to promote the development of trustworthy artificial intelligence (AI) technology. As AI becomes ubiquitous across consumer and enterprise high-value and large-scale uses and more open source tools become available for digitizing data, the ethical use of accessing and training data is imperative. As part of this effort, the company affirmed its commitment to principles and trustworthy AI standards, including:
- Incorporating a privacy-by-design principle as an integral part of its software development processes
- Protecting confidential customer and partner data
- Developing AI technologies that meet or exceed industry standards for performance, accuracy, and security
- Empowering customers and partners to successfully implement digital transformation in their organizations by delivering solutions that provide a greater understanding of content and processes
- Providing visibility into the performance characteristics and metrics of its technologies, as well as providing opportunities for product feedback
- Delivering AI technologies that are socially and economically beneficial
- Fostering a culture that promotes the ethical use of AI and its social utility
Dynatrace announced it has extended its advanced observability capabilities to cloud and data center environments running on the Linux ARM platform. These enhancements to Dynatrace reflect increasing demand from enterprise IT teams for containers and microservices, as well as their growing adoption of ARM-based servers as an efficient and cost-effective platform for cloud-native environments. To avoid wasting time and resources on manual configuration, teams need continuous automation to self-discover and automatically instrument changes in their environment, and to capture all observability data in real-time.
NICEannounced the availability of a trial version for its next-generation Automation Studio. Openly accessible to RPA professionals via the NICE RPA website and free of charge for a period of 6 months, the new version helps boost development skills in both attended and unattended automations. Automation developers can now get hands-on experience with the NICE RPA tool and familiarize themselves with its user-friendly interface, drag and drop functionality, built-in developer guidance, a smart callout builder, and other cutting-edge capabilities.
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In case you missed it, here are our most recent previous weekly real-time analytics news roundups: