Published Apr 29, 2019

Intelligent Infrastructure Management with Pankaj Goyal & Rochna Dhand - TWiML Talk #258

Pankaj Goyal and Rochna Dhand from HPE delve into the transformative role of AI in enterprise infrastructure management, discussing strategies for AI adoption and the innovative use of Infosight in enhancing IT operations and customer support. They highlight AI's capability in predictive maintenance and effective management across cloud and on-premise solutions.
Episode Highlights
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Episode Highlights

  • Infosight Impact

    HPE's Infosight is revolutionizing IT management by leveraging data and AI to enhance enterprise solutions. shares a real-world example where Infosight helped a company identify and resolve issues with their virtual desktop infrastructure, which had been causing erratic behavior and preventing workload expansion 1. By collecting telemetry data and performing in-depth analysis, Infosight pinpointed problematic virtual machines, allowing the company to address the root cause efficiently. highlights the broader impact of Infosight on HPE's portfolio, emphasizing the importance of data-driven insights in transforming IT operations 2.

       

    Data Solutions

    HPE is at the forefront of creating intelligent data solutions through AI applications, aiming to simplify user experiences and enhance automation. explains how Infosight exemplifies this effort by enabling self-healing and self-maintaining data centers, thus allowing customers to focus on value-added activities 3. He also discusses the shift towards providing services as experiences, highlighting HPE Green Lake's role in offering hybrid cloud solutions tailored to various stakeholders, from IT teams to CFOs 4. This approach reflects a broader industry trend towards "servicizing" products, transforming traditional infrastructure into service-oriented models.

       

    Support Automation

    Automation and AI are pivotal in enhancing customer support and operational management at HPE. describes how automation has eliminated the need for level one and two support engineers, allowing direct access to level three experts for complex issues 5. This efficiency is achieved through machine learning models that preemptively address common problems, significantly reducing resolution times. likens the evolution of enterprise technology to moving from a stethoscope to an MRI, emphasizing the transformative power of AI and IoT in managing enterprise data 6.

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