Uber CTO to speak at San Francisco tech conference on AI at scale
Uber's Chief Technology Officer Praveen Neppalli Naga has been added to the speaker lineup for StrictlyVC San Francisco, a TechCrunch event taking place on April 30 at the Sentro Filipino Cultural Center. The CTO will discuss how organizations operate at scale during the artificial intelligence era.
TechnologyUber's Chief Technology Officer Praveen Neppalli Naga will deliver remarks at StrictlyVC San Francisco on April 30, joining a growing roster of technology industry speakers at the event. The conference, hosted at the Sentro Filipino Cultural Center, marks the opening event in this year's TechCrunch speaker series and features discussions on critical topics shaping the technology sector.
Neppalli Naga is expected to address one of the most pressing challenges facing modern technology companies: operating at organizational scale while integrating artificial intelligence into core business operations. His participation reflects the increasing focus of tech leaders on understanding how AI implementation affects company infrastructure, workforce management, and competitive positioning.
StrictlyVC San Francisco has established itself as a premier platform for technology executives and investors to exchange insights on industry trends. The event's growing speaker list underscores the high demand for knowledge about scaling technology operations in an AI-driven business environment. Uber's leadership perspective carries particular weight, given the company's global operations across multiple continents and its ongoing investments in autonomous technologies and data infrastructure.
The April 30 event will provide attendees with insights from one of the largest technology companies operating at global scale. Neppalli Naga's presence signals the tech industry's collective focus on understanding how established companies are adapting their operational models to leverage artificial intelligence effectively while maintaining service quality and organizational efficiency.
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