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How to train your AI algorithm

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Successful AI algorithms are built on a foundation of training data, but sourcing data that fits your needs and meets volume requirements is harder than you might think. Particularly when it comes to developing AI-driven applications and smart voice assistants. Richard Downs, Director Northern Europe, Applause.

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How visibility is key to preventing cloud overspend

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By Magnus E Bjornsson, CEO, Men&Mice.

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Resilience in the face of adversity: Driving business success with CX maturity

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By Peter Lorant, Chief Operating Officer at Zendesk.

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To realise transformation requires a cultural change

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For many people, Jimi Hendrix is considered the best guitarist in the world. His ambidexterity undoubtedly played a big role in his success. By Carsten Rust, Senior Director Digital Transformation EMEA, Pegasystems.

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Three tips for creating outstanding digital customer experiences

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By Greg Ouillon, Chief Technology Officer EMEA at New Relic.

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Test, test and test some more – The importance of DR testing!

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By Justin Augat, VP of Marketing at iland.

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Latest Video

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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