Magic of Automation and Everyday Chores
summary
Demo code uses LangChain for Java with Open Liberty and a Hugging Face model to build an internal slack chatbot trained on company docs that routes tricky answers to engineers; it reduces repetitive sales questions but needs human oversight. Sonatype runs automated scanners on Maven Central, reporting ~350,000 new malware/vulnerabilities discovered, finding one in eight downloads risky and 354 million log4j downloads with ~33% still vulnerable. Practical, concrete tooling and surprising scale—not a high-level promise.
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chapters (14)
- 0:00Introduction and speaker background
- 2:12History and evolution of AI
- 9:00Current state of AI and popular tools
- 11:27Practical uses of AI in development
- 13:54AI chatbot for internal documentation
- 16:24Demo of AI-powered chatbot application
- 17:28AI-generated advantages of AI
- 20:38AI-generated disadvantages of AI
- 24:54Will AI take our jobs?
- 26:17AI in cybersecurity and threats
- 29:08Open source vulnerabilities and risks
- 36:56Sonatype's use of AI for security
- 39:00Conclusion and future of AI
- 40:45Q&A session
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