{"id":3887,"date":"2025-02-06T17:42:29","date_gmt":"2025-02-06T17:42:29","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/02\/06\/building-more-builders-gooey-ai-makes-ai-more-accessible-across-communities\/"},"modified":"2025-02-06T17:42:29","modified_gmt":"2025-02-06T17:42:29","slug":"building-more-builders-gooey-ai-makes-ai-more-accessible-across-communities","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/02\/06\/building-more-builders-gooey-ai-makes-ai-more-accessible-across-communities\/","title":{"rendered":"Building More Builders: Gooey.AI Makes AI More Accessible Across Communities"},"content":{"rendered":"
\n\t\t<\/span> <\/span> <\/span><\/span><\/p>\n

When non-technical users can create and deploy reliable AI workflows, organizations can do more to serve their clientele<\/p>\n

Platforms for developing no- and low-code solutions are bridging the gap between powerful AI models and everyone who\u2019d like to harness them.<\/p>\n

Gooey.AI,<\/a> a member of the NVIDIA Inception<\/a> program for cutting-edge startups, offers one such platform, enabling teams to tap into multiple AI tools to improve productivity for frontline workers across the globe. Cofounders Sean Blagsvedt and Archana Prasad join the NVIDIA AI Podcast to discuss how the startup\u2019s platform is making AI development accessible to developers and non-coders alike.<\/p>\n

The founders detail Gooey.AI\u2019s evolution from a British Council-funded arts project to a comprehensive, open-source, cloud-hosted platform serving over 1 million users in diverse industries like agriculture, healthcare and frontline services. The company\u2019s vision centers on democratizing AI development through shareable AI recipes<\/a>, as well as helping ensure responsible implementation and representation of historically underserved communities in AI model-building.<\/p>\n

Prasad and Blagsvedt discuss unique applications, such as multilingual chatbots that support African farmers via messaging apps and AI assistants that help heating, ventilation, and air conditioning technicians access technical documentation.<\/p>\n

Given the rapid adoption of low-code AI platforms is helping organizations of all sizes and charters overcome technical barriers while improving access to expertise, Blagsvedt noted, \u201cYou can\u2019t [create] good technology that changes the world just by focusing on the technology \u2014 you have to find the problem worth solving.\u201d<\/p>\n

Learn more about the latest advancements in AI by registering for NVIDIA GTC<\/a>, the conference for the era of AI, taking place March 17-21.<\/p>\n

Time Stamps<\/b><\/h2>\n

00:31 \u2013 How a development platform began life as a British Council arts project called Dara.network.<\/p>\n

17:53 \u2013 Working with the Gates Foundation, DigitalGreen and Opportunity International on agricultural chatbots.<\/p>\n

33:21 \u2013 The influence of HTML standards and Kubernetes on Gooey.AI\u2019s approach.<\/p>\n

\"\"<\/a><\/p>\n

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https:\/\/blogs.nvidia.com\/blog\/gooeyai-makes-ai-more-accessible\/<\/p>\n","protected":false},"author":0,"featured_media":3888,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3887"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=3887"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3887\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/3888"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=3887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=3887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=3887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}