

AI in B2B
Oct 24, 2019
Oleg Rogynskyy, founder of People.ai, brings deep insights into AI's role in transforming B2B sales and marketing. Peter Lauten from the a16z Enterprise investing team adds perspectives on early adoption benefits. They discuss how AI can automate routine tasks, allowing workers to focus on more meaningful work. The conversation covers the evolving software design centered around user experience and privacy, as well as strategies for startups to capitalize on data-driven opportunities. A compelling look at the future of work!
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B2B vs. B2C AI
- B2B AI differs from B2C due to fewer, higher-paying customers and sensitive data.
- This requires careful research, enterprise-specific solutions, and robust data security.
Spotting AI Opportunities
- Entrepreneurs should look for untapped data sources in human activities.
- Capture this time-series data, analyze it, and predict the best next actions for users.
Network Effects in AI
- AI-driven networks benefit from network effects; more users mean more data and smarter predictions.
- This attracts more users, creating a virtuous cycle of growth and efficiency.