Rolls-Royce develops an AI ethics framework and trust process, a UK consortium aims to bring quantum computing to the enterprise, 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:
Rolls-Royce has announced an AI ethics framework and trust process that can help gain society’s trust of the technology and accelerate the next generation of industrialization, known as industry 5.0. The AI ethics framework is a method that any organization can use to ensure the decisions it takes to use AI in critical and non-critical applications are ethical. This is the first time AI ethics for industrial contexts has moved beyond theory and into practical application. Within that framework is the first step-by-step process for ensuring the outcomes of AI algorithms can be trusted. This five-layer checking system focuses on the outputs of algorithms, not the algorithms themselves, which are constantly changing. The checking system prevents biases from developing in algorithms undetected, and with results being constantly monitored, it ensures they are trustworthy. The ethics framework and its trust process have been peer-reviewed by subject matter experts in several big tech firms, as well as experts in the automotive, pharmaceutical, academic, and government sectors. Both will be published in full under Creative Commons license later this year on the Rolls-Royce.com website.
Rigetti UK announced it will lead a £10 million consortium to accelerate the commercialization of quantum computing in the UK. The three-year program will build and operate the first quantum computer in the UK, make it available to partners and customers over the cloud, and pursue practical applications in machine learning, materials simulation, and finance. Rigetti is joined by Oxford Instruments, the University of Edinburgh, quantum software start-up Phasecraft, and Standard Chartered Bank. Rigetti will build the superconducting quantum computer in a Proteox dilution refrigerator provided by Oxford Instruments. The University of Edinburgh will develop new ways of testing quantum hardware and verifying the performance of quantum programs and will work with Standard Chartered Bank to advance quantum machine learning applications for finance. In addition, Phasecraft will use its deep knowledge of quantum algorithms and high-efficiency quantum software to harness this hardware for near-term applications in materials design, energy, and pharmaceuticals. In addition to delivering a practical quantum computer in the UK, a key goal of the initiative is to further develop the country’s quantum computing talent, infrastructure, and national supply chain, and to advance the high-performance computing industry.
Xanadu, a developer of photonic quantum computing, announced the release of its publicly available photonic quantum cloud platform. Developers can now access Xanadu’s gate-based photonic quantum processors, in 8, 12, and soon 24 qubit machines. Xanadu’s partners and customers are currently testing solutions on the pre-release Xanadu Quantum Cloud. These include leading academic institutions, quantum start-ups, and major national labs, including Creative Destruction Labs, Scotia Bank, BMO, and Oak Ridge National Laboratory (ORNL). The company is now extending access to a number of new enterprise clients who are seeking to leverage quantum computing to solve their most complex problems. In addition to Xanadu Quantum Cloud, developers will use Xanadu’s open-source tools widely available on Github. These include Strawberry Fields, its cross-platform Python library for simulating and executing programs on quantum photonic hardware, and PennyLane, its software library for quantum machine learning, quantum computing, and quantum chemistry.
IBM Watson Health and OrbitalRX announced a strategic collaboration that aims to help address the emerging drug shortage crisis. The companies are combining OrbitalRX’s Drug Shortage Management Platform and IBM Micromedex into one unified solution called “OrbitalRX and Micromedex,” designed to create a single source for healthcare providers and pharmacy teams to access evidence-based treatment information alongside a hospital’s current drug inventory status and drug sourcing options. This one solution aims to quickly analyze the supply chain and identify clinical alternatives for drugs that are in short supply. The new solution, OrbitalRX and Micromedex, will be designed to evaluate important drug information, clinical evidence, and comparative efficacy, alongside the hospital’s drug inventory, purchase history, and utilization data, enabling hospital providers, pharmacists, and pharmacy technicians to proactively manage drug shortages.
TeamViewer, a global provider of secure remote connectivity solutions, has expanded its IoT offering and now offers a way to use artificial intelligence in maintenance. Until now, TeamViewer customers in the IoT field have been able to read sensors, set alarms, and connect directly to a wide range of devices. Now an intelligent extension in predictive maintenance is being added. This helps to reduce downtimes and save costs. The new software module ML-Trainer supplies the machine learning algorithm with data that might have triggered alarms and learns to recognize specific patterns. As a result, alarms are no longer bound to rigid thresholds but are subject to constantly optimized criteria. The downtimes, but also false alarms, can be significantly reduced in this way, and in the long term because the artificial intelligence is constantly learning.
Chorus.ai, a Conversation Intelligence Platform for high growth Revenue teams, announced new advanced analytics capabilities in the platform that provide Revenue leaders with insights into the most effective indication of revenue momentum: the health of their relationships with customers and what is being said in those interactions. The updated capabilities include a comprehensive collection of reports built on advanced AI that measures different aspects of customer interactions such as rep activity levels, conversation skills, sales skills, deal intelligence, and market intelligence. It also exclusively provides the ability to drill down to listen to the specific moments behind the data deeply.
Sixgill, LLC, an AI IoT platform provider for unified end-to-end machine learning lifecycle management, announced a partnership with Colorado-based CleanConnect.ai to deliver a suite of AI solutions to the oil and gas industry. Sixgill’s Sense AI platform enables CleanConnect.ai to train, deploy, and manage computer vision models for oil and gas customers rapidly and easily. The companies also announced the commercial availability of the solutions suite that includes real-time Volatile Organic Compounds (VOC) gas leak detection, non-invasive tank-level monitoring, and security surveillance.
ThoughtSpot announced ThoughtSpot 6.2, an update to its search and AI-driven analytics platform. ThoughtSpot 6.2 includes new exploration, collaboration, and visualization capabilities, to help organizations unlock value from their data in record time. With new features like DataFlow, Embrace for SAP and Teradata, and the ThoughtSpot bulkloader API, enterprises have more flexibility and choice on how they leverage their data for search and AI-driven analytics, wherever that data originates. Users can also now share a particular visualization with a colleague so that they can work off of the same view within one pinboard through Individual Chart Sharing. With a new Subscribe Assistant feature, creators can also now subscribe users to specific headlines within a pinboard, making it even easier to get the appropriate data and KPIs in front of the people who need them.
Moogsoft announced its new cloud AIOps architecture and product vision, focused on delivering agile and scalable AIOps to companies of all sizes. As part of this vision, the company is unveiling the results of its investment in a rapid-deployment and self-service model for delivering advanced AI and ML at scale to existing and new customers. This includes the creation of an entirely new architecture based around the latest developments in modern microservices and cloud-based technologies. Moogsoft is empowering customers to accelerate the adoption of AIOps by allowing them to self-provision and self-service, including the ability to build their own integrations to anything, anywhere. This is required for any self-servicing AIOps platform to realize rapid value in minutes and hours, rather than months and years.
Micro Focus announced the launch of Vertica by the Hour on the Google Cloud Marketplace. Data-driven organizations can now access hourly pricing on Google Cloud Marketplace to apply Vertica’s powerful analytics performance to a wide variety of use cases – from predictive maintenance to customer behavior analytics. Vertica by the Hour enables data scientists and business analysts to experience end-to-end machine learning at scale with the advanced analytical capabilities within Vertica’s MPP cloud-optimized architecture, known as Vertica in Eon Mode. Vertica in Eon Mode enables data engineers to efficiently manage variable workloads, optimize cloud economics, and intelligently allocate resources to individual use cases in meeting stringent SLAs.
BrainChip Holdings Ltd, a provider of ultra-low power high performance AI technology, announced that VORAGO Technologies has signed the Akida Early Access Program Agreement. The collaboration is intended to support a Phase I NASA program for a neuromorphic processor that meets spaceflight requirements. The BrainChip Early Access Program is available to a select group of customers that require early access to the Akida device, evaluation boards, and dedicated support. The EAP agreement includes payments that are intended to offset the Company’s expenses to support partner needs.
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In case you missed it, here are our most recent previous weekly real-time analytics news roundups: