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Getting Value from Artificial Intelligence — Jon Krohn at Hg Capital "Digital Forum" 2023

Jon Krohn17 June 2026Watch on YouTube

Description

In February 2023, I delivered this keynote on "Getting Value from A.I." to open the second day of Hg Capital's "Digital Forum" in London. With a focus on B2B SaaS applications, over 45 minutes I covered: 1. What Deep Learning A.I. is and How it Works 2. Tasks that are Replaceable with A.I. vs Tasks that can be Augmented 3. How to Effectively Implement A.I. Research into Production The audience engagement was terrific and the on-stage Q&A carried on afterward for an energizing 20 additional minutes. All of it is captured in this video that was slickly-edited by Hg's video-production team. Slides are available at jonkrohn.com/talks For even more of my thoughts on A.I., you can check out the Episode 27 of Hg's "Orbit" podcast. This fun half-hour episode was recorded in London at the same conference: https://hgcapital.com/insight/what-does-ai-mean-to-you-amr-ellaban-speaks-to-jon-krohn/

What you'll learn

  • Deep learning AI works by recognizing patterns in data and can be deployed for various business applications
  • Some tasks can be completely replaced by AI, while other tasks are better augmented by AI capabilities
  • Successfully implementing AI in production requires a thoughtful approach to translate research results into working solutions

Frequently asked questions

What are the two ways AI can create value in a business?
AI can create value by completely replacing tasks or by augmenting human work. Jon Krohn discusses how to determine which approach works best for your specific business situation.
Which type of business is this talk particularly relevant for?
The keynote focuses specifically on B2B SaaS applications of AI. This makes it particularly relevant for software companies looking to integrate AI capabilities into their services.
Why is implementing AI research into production a distinct challenge?
Jon Krohn addresses how to effectively translate AI research results into production. This is a specific challenge because research and production environments can differ significantly.

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