April 24, 2024
Deploying Generative AI: Predictions, Surprises, Strategies and Shortages
Featuring: Maria Pacella
Maria Pacella, Managing Partner of Pender Ventures gets an in-depth status report on Generative AI in this fascinating conversation with Duncan Stewart, Director of Technology, Media and Telecommunications (TMT) Research at Deloitte Canada.
Subtitle: “I predict by the end of the year all of my predictions will be wrong”
Key Takeaways
| [02:41] | Who is leading the charge with embedding of Generative AI – is it big companies or small, or is it this sector or that? |
| [05:00] | What is the main impediment to not hitting Duncan’s prediction that we’ll see revenue uplift of $10 billion from Gen AI in enterprise software in 2024. |
| [07:24] | How are companies and countries customizing the way they deploy Generative AI? |
| [10:52] | Pricing model predictions and how those predictions are panning out |
| [13:06] | What are the biggest challenges for software vendors to integrate Gen AI capabilities and how will they make their money back? |
| [15:22] | Do we think AI will have a greater impact that we had anticipated in the long term? |
| [18:29] | Gen AI chip (and raw material) supply and demand – priorities, strategies and shortages. |
| [24:15] | Other challenging variables: Data and IP |
| [30:14] | What regulations should we be aware of and what considerations should companies keep in mind? |
| [31:21] | Which of Duncan’s predictions are likely to change and how? |
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