• Applying artificial intelligence (AI) to healthcare has been the goal of some incumbent technology startup companies. Despite some progress, breakthroughs have proved elusive.
• Despite the difficulties encountered, UltraSight has brought to market an ultrasound software that utilizes AI to produce diagnostic quality images and provides real-time operational instructions.
On August 25, UltraSight received permission to use the conformité européenne (CE) mark on its UltraSight cardiac imaging software for use on ultrasound devices. The CE mark is required for select items sold in the European Union. The mark indicates that the manufacturer or importer of that product affirms that it is in compliance with the relevant EU legislation and the product may be sold anywhere in the European Economic Area. The permission to use the CE mark on a product is an essential milestone in product development, and the UltraSight software will improve the detection of cardiac irregularities, especially in emergencies.
• Tibco’s ModelOps will help businesses ensure that the value of ‘the AI Model’ can be retained and improved throughout the model’s lifecycle.
• The complexity of AI can slow the deployment of models. Tibco’s ModelOps allows even non-programmers to move a model from development to deployment.
Artificial intelligence (AI) has quickly become a must-have tool for businesses. While AI has enabled businesses to gain new insights into their performance, its management and operational aspects have lagged behind, creating bottlenecks in deployment. In addition, companies are carrying a large amount of under-deployed and unrefreshed models that drain budgets and add to what is often referred to as ‘model debt.’ Some of these AI models are not utilizing the most recent data or have drifted away from their original business purpose. AI models and data sets continue to grow in size and complexity, requiring larger teams of software engineers to transform a model into an application.
MuleSoft Connect delivered on Dreamforce promises made in late-2021.
MuleSoft executives missed the opportunity to provide thought leadership on API security and DevSecOps.
Salesforce’s notable integration business, MuleSoft, used its annual conference this week to deliver on the general availability of its Dreamforce announcements made in late-2021. While this week’s recap around intelligent automation, robotic process automation (RPA), pre-built connectors/accelerators, low-code, and collaboration was short on new technical updates, the company achieved its purpose of highlighting the importance of MuleSoft’s highly coveted integration and application programming interface (API) management technology for helping global companies, big and small, accomplish digitization.
Atos announced plans to split into two companies: one will focus on digital solutions and the other on information systems.
There is still much uncertainty regarding what will happen to Atos in the long term, with rumors flying of a potential acquisition by another French organization.
For France-based Atos, significant change is imminent. In mid-June 2022, the IT services provider (ITSP) announced plans to split into two companies: SpinCo will offer high-growth solutions that support digital transformation, big data (including Atos’ computing portfolio), and cybersecurity; and TFCo (Atos’ Tech Foundations) will provide low-growth managed infrastructure services, digital workplace solutions, and professional services. By restructuring, Atos is separating its higher-growth and higher-margin businesses from its underperforming divisions, which have been dragging the company’s overall financial performance down for several years.
• The deal with DataRobot is the first major announcement after Etisalat Digital rebranded to e& enterprise.
• The AI-as-a-Service (AIaaS) solution targets customers in a variety of verticals, which will help e& achieve organic revenue growth and refashion itself from a telco into a tech company.
e& enterprise, part of e& (previously branded Etisalat Group), entered into a three-year partnership with US AI platform provider DataRobot, to launch enterprise AlaaS. DataRobot will enable e& enterprise customers to leverage AIaaS for deploying AI and ML solutions at scale without the need for deep data science expertise. AIaaS enables organizations to build and deploy AI solutions more quickly and at a lower cost compared to initiatives that rely primarily on in-house resources, thus accelerating ‘time-to-value.’ Customers of e& enterprise will be able to adopt the AIaaS offering, powered by a locally deployed DataRobot platform. Continue reading “With DataRobot Partnership, e& Moves Forward with Its Strategy to Reform into a Tech Company”→
Accurately interpreting speech has posed challenges due to the variation in meaning and context that occurs during ordinary conversation.
Entity formatting or number interpretation is notoriously difficult to achieve. People might say ’oh’ instead of ’zero,’ or use ‘triple three’ instead of ‘3-3-3.’
Speechmatics was founded by Dr. Tony Robinson in 2006 and is based in Cambridge, England (UK). Robinson was a pioneer in applying recurrent neural and deep neural networks to automatic speech recognition (ASR). Speechmatics employs approximately 250 workers and is privately held. In 2012, the company began offering its ASR software to enterprise businesses on a usage-based revenue model.
CEO Arvind Krishna outlined an AI development strategy that helps businesses become more efficient by eliminating manual processes.
IBM’s strategy looks to bring technology to customers to help them accomplish a complete and integrated digital transformation.
Although Think 2022 did not produce headline-grabbing announcements, it did provide customers, the financial community, and the tech press with guidance regarding IBM’s future product strategy. The company’s CEO, Arvind Krishna, expressed intentions to focus on product development related to more practical use cases for artificial intelligence (AI), rather than ‘moonshots.’ To be clear, IBM is not abandoning its heritage of developing new technology; however, Krishna believes that AI projects must bring practical values to the customer and that more ambitious, aspirational initiatives belong in a research lab. One example of IBM’s more pragmatic approach, and the strategy it plans to expand, is how it’s working with McDonald’s. IBM is looking to help the fast-food company use AI to help lower costs and boost efficiency by automating customer orders. An example of a practical solution that will appeal to a broad audience is Watson AIOps, which looks to apply AI to information technology to increase productivity by being predictive, rather than reactive.
Red Hat Ansible Automation Platform is growing in prominence within OpenShift and the industry in general
Ansible’s popularity has prompted a new round of key partnerships to expand OpenShift’s ecosystem
Red Hat Ansible has matured into a shining star, not only among OpenShift’s portfolio, but the industry in general for its ability to abstract the complexity of building and operating IT automation at scale as part of enterprises’ business transformations.
The incremental consolidation of the UK enterprise telecoms market continues in light of broader national combinations, with further deals inevitable.
Although driven by financial imperatives in a highly competitive market, these developments reflect a broader re-segmentation in the context of the current economic environment.
Following the creation of the Virgin Media O2 50:50 joint venture between Liberty Global and Telefónica via the merger of their respective Virgin Media and O2 UK businesses, there has been an increasing pressure on Vodafone, BT, and other players to improve investor returns by creating a greater scale through mergers and acquisitions.
Fujitsu is the latest infrastructure vendor to enter the market of high-performance computing as a service (HPCaaS) with the ‘Fujitsu Computing as a Service (CaaS)’ portfolio.
Competitors in this market include Hewlett Packard Enterprise (HPE), Lenovo, IBM, Dell Technologies, Atos, Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Oracle Cloud, and Alibaba.
Fujitsu announced the launch of the Fujitsu CaaS portfolio in Japan last month, a services platform to enable commercial organizations to access high-end HPC capabilities to run complex artificial intelligence (AI) workloads via the public cloud. ‘Fujitsu Cloud Service HPC,’ the first services offering made available as part of the CaaS portfolio, is based on Fujitsu’s Supercomputer PRIMEHPC FX1000 servers running on ARM A64X chips, the same processors behind the world’s fastest supercomputer, Fugaku. Fujitsu has combined these supercomputing capabilities with software to deploy a wide range of AI and machine learning (ML) applications. Continue reading “Fujitsu Takes a Shot at Big Cloud with New HPC On-Demand Offering”→