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LinkedIn Automates All of the Easy Things, and Makes all of the Hard Things Easy

Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.

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How to Adopt an AIOps Strategy: CA Interview with Chris Kline

CA Technologies’ Chris Kline shares how to adopt an AIOps strategy in a DevOps world. Chris shares how AIOps enables a move away from siloed operations management and provides intelligent insights that drives automation and collaboration for continuous improvement. Since AIOps leverages big data, data analytics and machine learning to provide insight and enable a higher level of automation, no longer does IT Ops need to depend extensively on human operators for the management tasks that modern infrastructure and software require.

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How AI is Transforming IT Ops at William Hill

William Hill shares how AI and machine learning play a massive role in self-healing and the transformation that is taking place. Five years ago, companies would not be willing to even trust machines to start to make that decisional data. Today, it’s absolutely key to get visibility of all the piece of the jigsaw before making decisions on what can affect critical business services. AI helps analyze that metric explosion and make sense of it, because humans are limited by that. Not just understanding what the root cause of the problem is, but actually processing all this data coming through. https://www.williamhill.com/

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AIOps helps US Bank increase automation across the tool chain

Learn how AIOps will help US Bank increase automation across the tool chain by analyzing large, monitoring-driven data sets. US Bank shares how they have so much data to get through that the root cause correlation is a large part of the bank’s triage process today. With the help of automation, US Bank envisions that the resolution side will be more effective, delivering better up time and improving customer experience.

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VIDEO

The Five Senses of Intelligent Automation

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To demystify the complexity of Intelligent Automation, Capgemini developed the Five Senses of Intelligent Automation – their framework to help clients decode Intelligent Automation and translate it into real business value.

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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.
Explore powerful use cases for device and service lifecycle management, security policy management, AL/ML enabled operations and agile DevOps-based lifecycle management as we will highlight Cisco's automation framework and best practices.
Joined by Dean Prelazzi and Adam Steinberg, talking about trends, innovations and the future of AI.
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.
Meet Zia, your personal data analyst. In Zoho Sheet, Zia helps you visualize and analyze data in your spreadsheets better by suggesting contextual charts and pivot tables.
We’re working to harvest and process the data needed to drive the future of autonomous vehicles. Data generated by autonomous vehicles not only makes up the crystal-clear mapping needed to safely steer AVs, but also helps make entire cities smarter, giving utilities and public transit detailed, real-time views of the roads.
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