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KubeCon Keynotes Wrestle With AI Governance Complexities
- At its KubeCon event held in Utah, members of the community explored the potential of AI app delivery and machine learning in the container ecosystem.
- Challenges around feature and platform fragmentation led to discussions around the need for standardisation and interoperability in AI application delivery.
- Increased demand for AI governance capabilities was emphasized during sessions on AI safety, amid concerns over the risks posed by malicious actors exploiting AI vulnerability.
- Talks around AI middleware, aimed at simplifying complexities for platform engineers, data scientists and developers, enhanced Scalability and safety of AI-powered applications.
- Open source heavyweight adopter CapitalOne was highlighted for using GenAI in not just customer service and engineering but also mundane back-office tasks for greater efficiency.
- AI middleware was suggested as a solution to the complex interoperability challenges facing application platforms in supporting GenAI app delivery while still being flexible and adaptable.
- Senior staff engineer at Shopify, Shane Lawrence, highlighted ongoing threats to AI models and the need for cohesive AI middleware to mitigate risks.
- AI is being seen as a essential shift in application architecture and capabilities that is here to stay, however, clear-eyed concerns around the gaps in AI app governance must also be addressed.
- KubeCon North America 2024 had members of the community coming together to freely exchange knowledge and ideas. Projects are also being established for AI application governance.
- Emerging projects having governance established for their AI applications. VMware Tanzu AI solutions design partner applications encouraged for those interested in shaping the future of AI solutions.
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