Join the 100s of IT professionals already subscribed.
Get notified for new episodes
About this episode
AI INNOVATOR
Tanvi Motwani, Director of AI at Block
Tanvi Motwani is a seasoned AI leader with over 13 years of experience applying artificial intelligence at scale across companies like Amazon, LinkedIn, Robinhood, Snap, and Block. Her work spans search and recommendation systems, conversational AI, and enterprise AI strategy, with a focus on building impactful, customer-centric solutions.
As part of our AI Innovators series, we sit down with leaders shaping the future of AI. In this edition, Tanvi Motwani shares her perspective on AI strategy, the role of the Model Context Protocol (MCP), and the potential of autonomous agents to transform enterprise productivity.
Key Takeaways:
- AI Strategy Starts with the Customer Problem: Tanvi emphasizes beginning with business goals and customer needs, then choosing the right AI tools to deliver measurable impact.
- MCP Streamlines LLM Integrations: MCP creates a standardized way for LLMs to connect with tools and workflows, reducing complexity and accelerating innovation.
- Autonomous Agents Will Redefine Workflows: Tanvi predicts a shift from AI copilots to fully autonomous digital teammates managing entire workflows.
- Enterprise AI Requires Governance and Culture: Successful AI adoption hinges on clear governance, psychological safety, and employee education to build trust and drive value.
- Specialized Models and Synthetic Data Drive Scale: Smaller, fine-tuned models and synthetic data generation will enable organizations to innovate while protecting privacy and reducing compute costs.
Tanvi's insights highlight a future where AI is practical, governed, and transformative—bringing real impact to enterprises through strategy, standardization, and smart automation. Subscribe to AI Innovators for monthly insights straight to your inbox.
Other episodes
