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Event

Google Cloud Next '25

2025-04-09 Google Cloud Next Visit website ↗

Activities tracked

5

Google Cloud Next Conference (25)

Filtering by: Crispin Velez ×

Top Topics

AI/ML 761 Cloud Computing 662 GCP 574 vod-recorded-session 410 interest-ai 352 interest-gemini 318 interest-app-dev 253 interest-vertex-ai 237 LLM 234 interest-security 202 Cyber Security 180 GenAI 165 interest-data-analytics 156 interest-architecture 130 interest-databases 103

Top Speakers

Afshaan Mazagonwalla 6 Alec Mirchandani 5 Carolyn Ujcic 5 Chelsie Czop 5 Crispin Velez 5 Eamonn Ward 5 Frank Torres 5 Jamie Duncan 5 Katie Nguyen 5 Kshetrajna Radhaven 5 Meenu Tomar 5 Michael Dunn 5

Sessions & talks

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Gen AI deployment lessons learned and the era of AI agents

2025-04-10
session
Crispin Velez (Google Cloud) , Frank Torres (Google Cloud) , Swati Iyengar (Google Cloud) , Afshaan Mazagonwalla (Google) , Michael Dunn (Google Cloud) , Meenu Tomar (Google Cloud) , Carolyn Ujcic (Google Cloud)
AI/ML GenAI

This workshop examines the critical lessons learned in deploying generative AI applications and explores how these insights can shape the future of the "AI Agents era." We'll delve into the practical challenges and solutions encountered in moving from initial answers to actionable implementations, prescribing how these learnings can be applied to build more sophisticated, autonomous, and impactful AI systems.

Gen AI deployment lessons learned and the era of AI agents

2025-04-10
session
Crispin Velez (Google Cloud) , Frank Torres (Google Cloud) , Swati Iyengar (Google Cloud) , Afshaan Mazagonwalla (Google) , Michael Dunn (Google Cloud) , Meenu Tomar (Google Cloud) , Carolyn Ujcic (Google Cloud)
AI/ML GenAI

This workshop examines the critical lessons learned in deploying generative AI applications and explores how these insights can shape the future of the "AI Agents era." We'll delve into the practical challenges and solutions encountered in moving from initial answers to actionable implementations, prescribing how these learnings can be applied to build more sophisticated, autonomous, and impactful AI systems.

Gen AI deployment lessons learned and the era of AI agents

2025-04-09
session
Crispin Velez (Google Cloud) , Frank Torres (Google Cloud) , Swati Iyengar (Google Cloud) , Afshaan Mazagonwalla (Google) , Michael Dunn (Google Cloud) , Meenu Tomar (Google Cloud) , Carolyn Ujcic (Google Cloud)
AI/ML

This workshop examines the critical lessons learned in deploying generative AI applications and explores how these insights can shape the future of the "AI Agents era." We'll delve into the practical challenges and solutions encountered in moving from initial answers to actionable implementations, prescribing how these learnings can be applied to build more sophisticated, autonomous, and impactful AI systems.

Gen AI deployment lessons learned and the era of AI agents

2025-04-09
session
Crispin Velez (Google Cloud) , Frank Torres (Google Cloud) , Swati Iyengar (Google Cloud) , Afshaan Mazagonwalla (Google) , Michael Dunn (Google Cloud) , Meenu Tomar (Google Cloud) , Carolyn Ujcic (Google Cloud)
AI/ML

This workshop examines the critical lessons learned in deploying generative AI applications and explores how these insights can shape the future of the "AI Agents era." We'll delve into the practical challenges and solutions encountered in moving from initial answers to actionable implementations, prescribing how these learnings can be applied to build more sophisticated, autonomous, and impactful AI systems.

Gen AI deployment lessons learned and the era of AI agents

session
Crispin Velez (Google Cloud) , Frank Torres (Google Cloud) , Swati Iyengar (Google Cloud) , Afshaan Mazagonwalla (Google) , Michael Dunn (Google Cloud) , Meenu Tomar (Google Cloud) , Carolyn Ujcic (Google Cloud)
AI/ML

This workshop examines the critical lessons learned in deploying generative AI applications and explores how these insights can shape the future of the "AI Agents era." We'll delve into the practical challenges and solutions encountered in moving from initial answers to actionable implementations, prescribing how these learnings can be applied to build more sophisticated, autonomous, and impactful AI systems.