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Accelerating Medical Research in the age of AI and Big Data | The Element Podcast - E11

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Medical testing today is inefficient, expensive and rarely customized to meet the needs of individual patients. The medical community needs the ability to reimagine medical research, eliminate clinical trials and end human and animal testing.

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Deploying Machine Learning and Analytics in ITOps Processes

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Learn how ITOps teams can apply machine learning and advanced analytics to manage the ever increasing volume of operational data across complex, hybrid environments. AIOps use cases including event noise reduction predictive alerting and probable cause analysis enable ITOps to optimize the performance and health of infrastructure and applications while supporting business innovation.

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Enterprise Blockchain is building momentum

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Blockchain is an entirely new way of thinking about the validation of data; it's far more than cryptocurrencies. The time is right for enterprises to create new disruptive processes with blockchain.

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VIDEO

Accelerating Medical Research in the age of AI and Big Data

  • Published in

Medical testing today is inefficient, expensive and rarely customized to meet the needs of individual patients. The medical community needs the ability to reimagine medical research, eliminate clinical trials and end human and animal testing.

Read More

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Google Next 2019 | Applied Intelligence

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While at Google Next 2019, Arnab Chakraborty, Accenture West Lead, Applied Intelligence, had the opportunity to catch up with Athina Kanioura, Accenture Chief Analytics Officer & Global Lead, Applied Intelligence to discuss the impact of AI on the industry and our Accenture AI partnership with Google.

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AI Hub: The One Place for Everything AI (Cloud Next '19)

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AI Hub is the brand-new place for everything AI within your company, as well as in general. This is an introduction into the various components we provide so you can scale your AI practice. Learn how AI Hub fosters collaboration, sharing, and reuse of AI components within enterprises and with partners. Experience how you can build on the best AI technologies and solutions by Google and deploy them in production on GCP.

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Tate Cantrell, Chief Technology Officer at Verne Global, provides some brilliant insights into the...
Dr Angie Ma, Co-Founder of Faculty, talks about her experience as a female founder in a...
Dennis Xu, VP Analyst, KI Leader, Gartner, discusses the coming together of AI and cybersecurity...
Deborah Garand, Managing Director - High Tech, Accenture, discusses the findings of the company’s...
DW talks to Ken Steinhardt, Field CTO at Infinidat, covering the company’s recently launched...
Now is the time to exploit the real world power of Artificial Intelligence.
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Docker on IoT devices

Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world?s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker?s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 ?Dockerized? applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.

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