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5 Trends Impacting the Future of Machine Data Intelligence

  • 5 Trends Impacting the Future of Machine Data Intelligence-

    DevOps and DevOps Tools Will Mature

    DevOps is primed to adopt a new breed of next-generation log and machine data analytics services that run at cloud-scale, employ predictive algorithms, and can seamlessly integrate with a host of DevOps tools across the entire pipeline — not just server container or infrastructure data — in order to dramatically improve the continuous integration and continuous deployment processes.

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5 Trends Impacting the Future of Machine Data Intelligence

  • 1 | 2 | 3 | 4 | 5 | 6 | 7
  • 5 Trends Impacting the Future of Machine Data Intelligence-2

    DevOps and DevOps Tools Will Mature

    DevOps is primed to adopt a new breed of next-generation log and machine data analytics services that run at cloud-scale, employ predictive algorithms, and can seamlessly integrate with a host of DevOps tools across the entire pipeline — not just server container or infrastructure data — in order to dramatically improve the continuous integration and continuous deployment processes.

According to the latest forecast from Gartner, Inc., global revenue in the business intelligence (BI) and analytics market will reach $16.9 billion in 2016, an increase of 5.2 percent from 2015. Machine analytics will be the fastest growing area of BI, which will have CAGR greater than 1000 percent. As digital transformation grows, so does the reliance on new software and architectures. Today, software is not only driving business processes, but entire business models, and the need to manage, monitor and troubleshoot applications in real time has never been more critical. Thus, the need for speed, full-stack visibility and agility — all in real time — is the true business demand underpinning the growth of machine data analytics.

In this slideshow, Ramin Sayar, president and CEO of Sumo Logic, offers the five trends he sees most impacting and shaping the world of machine data analytics.