

Silvio Savarese
Chief AI Scientist at Salesforce focusing on core AI research and deploying enterprise AI solutions such as Agentforce and reasoning engines to power large customers.
Top 3 podcasts with Silvio Savarese
Ranked by the Snipd community

151 snips
Oct 31, 2025 • 14min
How Salesforce Is Using AI to Power the Enterprise
 Silvio Savarese, Chief AI Scientist at Salesforce, leads the charge in pioneering AI technologies for enterprises. He reveals how Salesforce powers over 13,000 businesses with innovative tools like Agentforce, merging human and AI efforts for enhanced productivity. Savarese discusses building large language models pre-dating ChatGPT and how trust underpins Salesforce AI solutions. He highlights challenges like data siloing and the importance of simulation environments in ensuring agent reliability, painting a future where personal and enterprise agents work seamlessly together. 

Nov 15, 2024 • 30min
The Third Wave Of AI Is Here: Why Agentic AI Will Transform The Way We Work
 Silvio Savarese, Executive Vice President and Chief Scientist of Salesforce AI Research, dives into the world of agentic AI. He explains how this new wave of AI goes beyond chatbots, enabling intelligent agents to work alongside us and revolutionize businesses. Savarese highlights the significance of trust in these agents as they manage tasks and customer service. The discussion emphasizes the importance of human oversight and the collaborative future between humans and AI, reshaping job roles and workplace dynamics. 

Jun 26, 2025 • 31min
AI and Safety: How Responsible Tech Leaders Build Trustworthy Systems (National Safety Month Special)
 Silvio Savarese, Executive Vice President and Chief Scientist at Salesforce, shares insights into building trustworthy AI systems. They discuss designing AI with safety and human oversight to protect users. The conversation dives into the critical need for data privacy and bias mitigation in predictive models. There’s a focus on balancing the speed of innovation with long-term impacts on trust and compliance. The episode also emphasizes the necessity of transparency in navigating AI ethics, particularly in high-stakes decision-making. 


