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Machine learning is computationally demanding, not just in terms of processing power but also the underlying graph query language and architecture of the system. We look at how these challenges can be addressed with native graph databases. By Richard Henderson, Solution Architect, TigerGraph EMEA.
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There is a lot of excitement about AI, but somehow the reality is not really living up to the hype. By Jelena Stankovic, Content and Communication Lead at SAS.
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By James Ewing, Regional Director UK & Ireland, Digital Workforce.
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By Paul Griffiths, Senior Director, Office of the CTO, Riverbed Technology.
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A common misconception around the customer journey is that it’s a process of A to B. In reality, requirements and circumstances often change at many points along the way – much like a car trip with unexpected traffic and road closures. This is why, as IT requirements get more complex, AI for IT Operations (AIOps) is becoming the future of IT management. By Lee James, CTO, EMEA at Rackspace.
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Digital transformation is essentially finding new ways to leverage data within an enterprise, to drive efficiency, revenue and business insight. Now a standard for modern business, digital transformation could be worth $18 trillion in additional business value, according to analyst house IDC. By John Western, Regional Vice President, Europe, LucidWorks.
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