[{"data":1,"prerenderedAt":170},["ShallowReactive",2],{"events-page-content":3,"events-post-ai-assisted-engineering":30,"events-author-ai-assisted-engineering":6},{"id":4,"title":5,"author":6,"blogTags":6,"body":7,"customExcerpt":6,"date":6,"description":11,"excerpt":6,"extension":14,"h1":15,"image":6,"meta":16,"navigation":17,"path":18,"readingStats":19,"seo":24,"stem":28,"__hash__":29},"eventBlogPage\u002Fevents-page.md","Events Page",null,{"type":8,"value":9,"toc":10},"minimark",[],{"title":11,"searchDepth":12,"depth":12,"links":13},"",2,[],"md","Join our upcoming events, webinars and talks on digital transformation and emerging technologies.",{},true,"\u002Fevents-page",{"text":20,"minutes":21,"time":22,"words":23},"1 min read",0.295,17700,59,{"title":25,"description":26,"keywords":27},"Digital Transformation Resources | Audacia","A collection of eBooks, downloads and whitepaper resources to help you navigate your digital transformation journey, prepared by software development company Audacia.","Digital transformation resources, technology resources, digital transformation guides, software guides, technology guides","events-page","3AkjN_IYG7WDeIGbsSpysysD8q10teNj9iKzHBk-ppc",{"id":31,"title":32,"author":11,"blogTags":33,"body":35,"customExcerpt":153,"date":154,"description":155,"excerpt":6,"extension":14,"h1":6,"image":156,"meta":157,"navigation":17,"path":158,"readingStats":159,"seo":164,"stem":168,"__hash__":169},"events\u002Fevents\u002Fai-assisted-engineering.md","AI-Assisted Engineering: Building the Foundations for Adoption and Scale ⚙️",[34],"AI",{"type":8,"value":36,"toc":145},[37,45,51,57,60,63,66,73,76,82,95,101,112,118,129,132,136],[38,39,40,44],"p",{},[41,42,43],"strong",{},"Date:"," Thursday 27th November",[38,46,47,50],{},[41,48,49],{},"Time:"," 12:30 - 13:15",[38,52,53,56],{},[41,54,55],{},"Location:"," Online",[38,58,59],{},"As AI becomes increasingly embedded in modern software development, many engineering leads are asking the same question: How do we implement it effectively across teams and projects?",[38,61,62],{},"In this session, Technical Director Richard Brown will outline a framework for introducing AI into the engineering lifecycle, covering the foundations, rollout, and continuous improvement required to make AI adoption sustainable and scalable across the SDLC.",[38,64,65],{},"Drawing on Audacia’s internal approach to AI-assisted engineering, the talk will explore how to create the right governance, enablement, and culture for teams to succeed with AI.",[67,68,70],"h3",{"id":69},"what-youll-learn",[41,71,72],{},"What You’ll Learn",[38,74,75],{},"This session will provide a structured approach to implementing AI across engineering teams, covering:",[67,77,79],{"id":78},"_1-foundations-building-readiness-and-trust",[41,80,81],{},"1. 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Continuous Improvement: Embedding AI in Engineering Culture",[83,119,120,123,126],{},[86,121,122],{},"Nurturing internal communities of practice ",[86,124,125],{},"Encouraging open discussion of both successes and failures ",[86,127,128],{},"Developing targeted, high-impact use cases",[38,130,131],{},"This talk is for those exploring how to integrate AI into their software delivery lifecycle. Whether you’re piloting AI tools or planning organisation-wide adoption, we hope this session will help you move from experimentation to successful implementation, adoption and scale.",[67,133,135],{"id":134},"couldnt-make-it-want-to-watch-again","Couldn't make it? Want to watch again?",[38,137,138,139,144],{},"Please email ",[140,141,143],"a",{"href":142},"mailto:talks@audacia.co.uk","talks@audacia.co.uk"," to request the recording and we'll send it over.",{"title":11,"searchDepth":12,"depth":12,"links":146},[147,149,150,151,152],{"id":69,"depth":148,"text":72},3,{"id":78,"depth":148,"text":81},{"id":97,"depth":148,"text":100},{"id":114,"depth":148,"text":117},{"id":134,"depth":148,"text":135},"In this session, Technical Director Richard Brown will outline a framework for introducing AI into the engineering lifecycle, covering the foundations, rollout, and continuous improvement required to make AI adoption sustainable and scalable across the SDLC. 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