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Artificial Intelligence Insights with Greg Pruett: A Five-Step Blueprint for Success.

An episode of the The Disruptor Podcast podcast, hosted by John Kundtz, titled "Artificial Intelligence Insights with Greg Pruett: A Five-Step Blueprint for Success." was published on March 18, 2024 and runs 19 minutes.

March 18, 2024 ·19m · The Disruptor Podcast

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Welcome to a special edition of The Cloud Collective Podcast, where we explore the transformative world of artificial intelligence (AI) and focus on practical strategies for success. In this episode, host John Kundtz is joined by Kyndryl Vice President and Distinguished Engineer Greg Pruett, a multi-patent holder and expert in infrastructure and cloud architecture. Greg begins by clarifying the differences between traditional predictive AI and the emerging field of generative AI...

Welcome to a special edition of The Cloud Collective Podcast, where we explore the transformative world of artificial intelligence (AI) and focus on practical strategies for success. 

In this episode, host John Kundtz is joined by Kyndryl Vice President and Distinguished Engineer Greg Pruett, a multi-patent holder and expert in infrastructure and cloud architecture. 

Greg begins by clarifying the differences between traditional predictive AI and the emerging field of generative AI, which has the unique ability to create new content. 

He then outlines the five crucial steps for getting started with AI:

  1. Analyze Business Needs and Desired Outcomes: Conduct a structured assessment to identify potential use cases and quantify the return on investment from AI adoption.
  2. Define Your Data Strategy: AI systems are only as good as the data they're trained on. Greg emphasizes the importance of data quality, inclusivity, and representativeness and addresses privacy, security, and bias concerns.
  3. Choose an AI Software Platform: Explore the growing ecosystem of AI platforms that offer pre-trained models and accelerate adoption by enabling organizations to use rather than invent AI solutions. 
  4. Select AI Infrastructure: Decide whether to run AI workloads on public cloud, private cloud, or a hybrid model, considering factors like data sovereignty and compliance requirements. 
  5. Establish ModelOps Processes: Implement robust processes for monitoring, updating, and testing AI models to ensure responsible deployment and maintain high-quality outputs over time.

The show wraps up with insights into overcoming common challenges in AI projects, ensuring data quality, and operationalizing AI within your organization.

Want to dive deeper into the world of AI and explore how it can revolutionize your business?

Connect directly with Greg Pruett on LinkedIn and check out his insightful article, "5 Steps to Get Started with AI," for more valuable advice. 

Don’t forget to subscribe to this podcast on your favorite podcast platform to stay updated with the latest insights from industry leaders. 

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