No Priors: Artificial Intelligence | Technology | Startups What Google Cloud Can Teach Enterprises Developing & Rolling Out AI Tools, With Kawal Gandhi
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Oct 23, 2023 Kawal Gandhi, Google Cloud's Lead for Generative AI, shares his extensive experience from nearly a decade in search and ads at Google. He discusses the importance of investing in AI for enterprises and reveals innovations like document generation and email assistance in Google's tools. Gandhi also dives into the challenges of model training, the role of TPUs, and the future of AI in various industries. Insights on multimodal applications and the crucial elements for successful AI adoption make this an enlightening conversation.
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Early Generative AI at Google
- Google's early internal generative AI applications included Workspace features like summarizing and personalizing documents and emails.
- These features, tested internally, led to increased efficiency and productivity, eventually becoming Duet AI.
AI Model Training Advice
- Consider your organization's maturity, team expertise, and cost implications before training your own AI models.
- Factor in cultural transformation aspects and overall strategy to ensure successful AI adoption.
AI Adoption Cycle
- Enterprise AI adoption often prioritizes efficiency gains within workflows, then productivity improvements.
- Increased trust in AI models is crucial for unlocking creative applications and freeing up human capital.