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Sensyne Health to conduct its first multi-omics AI drug discovery project in partnership with Oxford University

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Sensyne will apply its machine learning expertise to analyse complex genetic data sets to discover novel insights in asthma research.

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Telecom: Enabling Automaton Everywhere through AI and Analytics

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As operators drive to increase the velocity and scale of Service Assurance processes across their complex, converging enterprise IT and network domains, automation has become a critical priority. By Ian Russ, EMEA Chief Architect within BMC Software’s Office of the CTO.

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Understanding legacy infrastructure by looking at the pyramids

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When you look at the Saqqara Necropolis, the oldest of Egypt’s pyramids, do you immediately discard it as an irrelevant relic? Not at all. You admire it for the architectural skill involved in its construction, and the story behind its eternal beauty. By Marc Zottner, Field CTO, VMware Tanzu

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Accelerate your automation journey with a Centre of Excellence

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An automation CoE is the essential foundation needed to successfully launch automation initiatives, and, in doing so, becoming a business that thrives within the ever-changing and challenging business environment. By Vijay Kurkal, CEO, Resolve

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Intelligent automation is an absolute must

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At a time when competitive pressure has never been more intense, good customer service has never been more important. By Kay Knoche, DACH Lead for Decisioning & AI Solutions at Pegasystems

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Using the greater data ecosystem to drive great decision making

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As the fallout from the COVID-19 pandemic continues to disrupt the majority of industries, its impact on supply chains has been nothing short of seismic. As teams continue to face increasing pressure to make the right decisions at the right time - squeezing every last drop of insight and information out of vast lakes of data is now more important than ever. By Will Dutton, Director of Manufacturing, Peak

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AI Adoption in the Enterprise 2020 report finds growth in mature AI adoption; weak investment in data governance.
Boosting effectiveness and data privacy, NVIDIA DGX-2 AI systems power federated learning infrastructure for local creation, adaptation and deployment of AI in medical imaging in hospitals.
How can a doctor predict the treatment outcome of an individual patient? Traditionally, the effectiveness of medical treatments is studied by randomised trials where patients are randomly divided into two groups: one of the groups is given treatment, and the other a placebo. Is this really the only reliable way to evaluate treatment effectiveness, or could something be done differently? How can the effectiveness of a treatment method be evaluated in practice? Could some patients benefit from a treatment that does not cause a response in others?
Cloudian has introduced HyperIQ, a monitoring and observability solution for proactively and efficiently managing Cloudian storage and related infrastructure across on-premise and hybrid cloud environments—all from a single interface.
New SnapLogic study reveals two thirds of employees want more AI in the workplace to improve productivity and decision making.
Fujitsu Laboratories of Europe has introduced a new AI technology that enhances Electronic Health Record (EHR) management, automating the processing of unstructured (free text) medical notes and achieving time savings of more than 90% with significantly improved accuracy.
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