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The Digitalisation World Video magazine contains the latest Zoom interviews with experts in the industry.
86% of IT executives surveyed believe human work, AI systems, and robotic automation must be well-integrated by 2020 -- but only 12% said their companies do this really well today.
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Enterprise Story - Democratising access to superior technology with machine learning agents. Watch Danny Lange, VP of AI and Machine Learning at Unity Technologies on stage at World Summit AI 2018 in Amsterdam.
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Malware authors have always been trying to update their software and evolve their techniques in order to take advantage of new technologies and bypass security measures. By Leonidas Plagakis, Security Engineer, RiverSafe.
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Ziften’s endpoint protection platform uses proprietary machine learning in all phases of the endpoint security continuum simplifying endpoint protection across the enterprise.
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Analytics Intelligence partners with Tealium to provide frontline business users with a simple and effective way to standardise, enrich, distribute, and activate customer data in real time.
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2018 was huge for technology, but now that we’ve rung in the new year, it’s time to turn our attention to 2019 and what this coming year will bring. As we are heading towards a world of driverless cars and smart cities, artificial intelligence (AI) and machine learning (ML) is starting to impact almost every aspect of our lives. With this in mind, four IT and data experts have come together to share their thoughts on how these advances will further impact the technology landscape in 2019.
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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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