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Charting the Course with Rackspace’s Jeff DeVerter on AI Innovation

Feb 06, 2024 - cloudtweaks.com
In an interview with CloudTweaks, Jeff DeVerter, a seasoned IT veteran from Rackspace Technology, discusses the evolving landscape of artificial intelligence (AI) and cloud transformation. The conversation is based on the findings of the 2024 IT Outlook Report, which surveyed 1,420 IT professionals globally. The report highlights a strong commitment from businesses to prioritize IT investments in the coming year, with a focus on transformative technologies like AI and cloud services. DeVerter also discusses the challenges of integrating AI into business processes, the importance of data governance and AI ethics, and strategies for attracting and retaining skilled IT professionals.

The report indicates a shift towards cloud transformation and edge computing, with a 4% increase in private cloud adoption and a decrease in workloads running on other servers. DeVerter highlights the benefits of private clouds over traditional data centers and public clouds. He also predicts that industries with abundant structured data, those reliant on IoT data sensors, and sectors with predefined business processes suited for automation will undergo significant transformation. DeVerter advises IT professionals and students to embrace lifelong learning and adapt to change to maintain their relevance in the industry.

Key takeaways:

  • Artificial intelligence (AI) is emerging as a top IT investment priority for 2024, with generative AI gaining significance and a broadening scope for its application across various domains.
  • There is a continuous transformation in companies’ cloud strategies with a shift towards private cloud and edge computing, and a decrease in workloads running on traditional servers.
  • Industries characterized by abundant structured data, heavy reliance on IoT data sensors, and substantial volume of predefined business processes are poised for significant transformation in the upcoming year.
  • Companies are facing challenges in integrating generative AI into business processes, primarily in evaluating its business value and establishing a concrete business case.
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