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UID:10000358-1718040600-1718051400@sfdesignweek.embold.net
SUMMARY:Anthropic: AI for all of us
DESCRIPTION:Join a panel discussion of people building practical\, usable AI tools for diverse audiences. We’ll consider the differences between hype and reality\, working on horizontal vs. vertical tools\, how to work with AI researchers on user experience\, and what it means to enable individuals from all backgrounds to engage with and benefit from AI technologies. Panelists include designers and builders from Anthropic\, Perplexity\, & Jasper.ai. \nBeverages and snacks will be provided! \nSCHEDULE: \n\n5:30 Doors Open\n6:30 Panel Discussion\n8:30 Event Ends\n\n*Address has been emailed to REGISTERED ATTENDEES. \n  \n  \n 
URL:https://sfdesignweek.embold.net/event/anthropic-ai-for-all-of-us/
LOCATION:TBD
ATTACH;FMTTYPE=image/jpeg:https://sfdesignweek.embold.net/wp-content/uploads/2024/05/sf-design-week-panel-1-scaled.jpg
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UID:10000356-1717498800-1717502400@sfdesignweek.embold.net
SUMMARY:Analog Intelligence with Everett Katigbak / Anthropic
DESCRIPTION:Everett will explore the need for human craft and creativity in the age of AI. While artificial intelligence has made exponential strides\, the talk will discuss how the best AI future should augment and amplify human skills\, not replace them. As more AI companies emerge\, designing for AI brands doesn’t mean everything must be AI-generated\, but rather\, the design process can be more collaborative and efficient with clients\, teammates\, and AI assistants. \nEverett is the Creative Director at Anthropic\, and was previously the Executive Producer at Stripe where he helped build their publishing arm\, Stripe Press. He’s also a co-founder if the Analog Research Laboratory\, a print studio that integrated analog techniques into Facebook’s brand and company culture. \n\nThis event is hosted by DesignBayArea.
URL:https://sfdesignweek.embold.net/event/ai-at-anthropic-everett-katigbak/
LOCATION:Four One Nine\, 419 10th Street\, San Francisco\, CA\, 94103\, United States
CATEGORIES:AI: Artificial Intelligence/Machine Learning,Artificial Intelligence
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