Plays Well With Others
Summary In this episode, Andrew Moore and Jess Agnew delve into the multifaceted world of AI, focusing on its implications for business development, security, and the evolving role of developers. They discuss the democratization of development through low code and no code platforms, the importance of natural language processing, and the security concerns surrounding AI code generation. The conversation emphasizes the need for a secure development pipeline, the significance of data quality, and the necessity of governance in low code environments. Ultimately, they highlight the importance of maintaining a balance between innovation and safety in the tech landscape. Chapters 00:00 Introduction to AI and Business Value 03:01 Democratizing Development: Low Code vs No Code 05:47 Security Implications of AI Code Generation 08:49 The Role of Natural Language Processing 11:59 Protecting Against Vulnerabilities in AI Development 15:03 Building a Secure Development Environment 17:57 Retrieval Augmented Generation: A New Approach 21:00 Data Quality and Its Impact on AI Models 24:00 The Evolving Role of Developers 26:55 Governance in Low Code and No Code Environments 30:04 The Future of Technology and Business Strategy Links * https://www.forbes.com/councils/forbestechcouncil/2024/09/25/how-will-ai-affect-low-codeno-code-development/?utm_source=chatgpt.com [https://www.forbes.com/councils/forbestechcouncil/2024/09/25/how-will-ai-affect-low-codeno-code-development/?utm_source=chatgpt.com] * https://www.techrepublic.com/article/ai-generated-code-outages/ [https://www.techrepublic.com/article/ai-generated-code-outages/] * https://www.pillar.security/blog/new-vulnerability-in-github-copilot-and-cursor-how-hackers-can-weaponize-code-agents [https://www.pillar.security/blog/new-vulnerability-in-github-copilot-and-cursor-how-hackers-can-weaponize-code-agents]
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