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"First of all, thank you to today's sponsors, KPMG, RAC space, Blitzy and Hyper Agent. To get an ad-free version of the show, go to patreon.com-aideally-brief or you can subscribe and apple podcasts and to learn more about sponsoring the show, send us a note at sponsors at aideally-brief.ai."

"Hello everyone one big change around AI is we've shifted our thinking from how we rank our pages to how do we become the source that AI trusts enough to answer with at KPMG they're seeing this first hand. AI generated results now surface answers directly often without a single click that's why they are increasingly focused on generative engine optimization or GEO structuring content so AI systems can retrieve it understand it and cited as trusted authority. This is not just an SEO evolution but a visibility mandate and indeed the GEO mandate from KPMG is simple if AI shaping decisions your expertise needs to show up inside the answer read all about it at KPMG.com slash us slash GEO again that is. KPMG dot com slash us slash GEO. One of the more interesting shifts in enterprise AI right now is how quickly the conversation is moving towards infrastructure and operations as AI moves into core workflows regulated data environments and agent systems enterprises need governed infrastructure and inference that can operate reliably day to day with clear operational accountability built in from the start. And as those systems scale the operating model increasingly becomes part of the AI strategy itself Rackspace technology is the operator of the full enterprise AI stack from agents to infrastructure across private cloud hybrid cloud and edge environments. Rackspace builds and operates govern day infrastructure inference and production AI systems for organizations were sovereignty compliance and uptime are nonnegotiable. Therefore deployed engineers stay embedded beyond deployment to help operationalize and run AI in live environments to learn more about where enterprise AI runs and outcome scale go to Rackspace dot com. Blitzie deeply understands your code base before it writes code here's the first place that pays off security in the age of AI. Croner abilities don't live in isolation they live buried inside millions of lines of interconnected code were patching one thing quietly breaks three others that's why surface level scans fail. Blitzie starts from its knowledge graph of your entire application identifies and surfaces CVE's across the full estate proactively recommends patches and can execute the PR each fixes grounded in how your systems connect and validates are nothing new breaks and the knowledge graph dynamically updates keeping you ahead of an ever accelerating threat landscape. One Blitzie customer resolved 21 active CVE's across six core microservices in four days zero compile errors every validation scan clean months of plan work fixed and less than a week security remediation grounded in real architectural context at the speed of compute hard in your code base at Blitzie dot com that's BLI TZY dot com. This episode of the AI daily brief is brought to you by hyper agent where you run fleets of agents your team can manage together new users get a thousand dollars in inference. For get local agents and chat workflows waiting on your laptop to be prompted hyper agent deploys always on agents in the cloud doing real work across the tools your team already uses marketing agent turns competitor moves into landing pages sales as agent and rich's leads draft emails and updates the CRM. Ops agent chases the paperwork contracts the budget every agent has access to shared context and follows your rules about scope and approvals it's time you add agents that feel like teammates hire yours at hyper agent built by the team at air table claim your $1,000 in inference at hyper agent dot com slash a ideally brief."

"for now that is going to do it for today's a ideally brief appreciate you listening or watching as always and until next time peace"