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Enterprise multi-cloud: what needs to change in 2021

In this new wave of cloud adoption, we are witnessing a rapid increase in multi-cloud models as a growing number of enterprises seek more choice for their data and workloads. No single cloud model can fit the diverse requirements and workloads across different business offerings. By Michel Robert, CEO of Epsilon.

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Using a Value Stream approach to go beyond DevOps and Agile

Software application development is a profitable and high-growth industry, with the UK market estimated to reach a value of £32.8bn this year. To compete effectively and remain relevant, organisations have focused on making sure the entire lifecycle, from concept to release, is as short and efficient as possible. By Mike O’Rourke, Chief R&D Officer, Digital.ai

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Transformation requires a cultural change

For organisations to undergo successful digital transformation, a change in cultural mindset among leadership is crucial. By Carsten Rust, Digital Transformation Director EMEA, Pegasystems.

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Three strategies to create a customer centric culture and build a loyal customer base

Customer centric organizations that deliver superior customer experiences have one important success factor in common, they have loyal customers. By Ryan Tamminga, Vice President of Customer Success at Alchemer.

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LogicMonitor has introduced its AIOps early warning system, which marks the latest enhancement to...
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The Digital.ai Platform features groundbreaking AI- and machine learning-based analytics to predict...
Users of Virtana’s CloudWisdom platform find underutilised resources in more than 30% of the...
A third of organizations spend twice as much time executing on strategy than future planning.
ServiceNow says that Telia Company, a multinational telecommunications company and mobile network...
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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