In this special edition of The Q&AI Podcast, Dr. Gina Guillaume-Joseph, CTO of Camio, shares her journey from predictive analytics to pioneering AI innovations. Recorded at Juniper Networks’ recent Executive Circle CIO event in Las Vegas, she sat down with Juniper Networks’ Chief AI Officer Bob Friday to discuss the convergence of computer vision and large language models, highlighting how Camio’s technology enhances real-time video search and decision-making. In the episode, she explains how Camio uses AI to ensure safety and compliance by identifying unauthorized access and unsafe behavior. Their conversation also covers the evolution of AI—from early models mimicking human behavior to advanced applications like ChatGPT—and the importance of policies and governance in managing AI advancements. Finally, Dr. Guillaume-Joseph shares her vision for the future of AI, including its potential applications in healthcare and the importance of balancing innovation with safety.
Key points covered:
• Computer vision and AI: Dr. Guillaume-Joseph discusses the convergence of computer vision and large language models, highlighting how these technologies are being integrated to enhance various applications.
• Computer vision AI: See how Camio combines computer vision and large language models to create a video search engine that can analyze video and imaging data in real time.
• Visual artificial intelligence: Explore the progression of AI from early models mimicking human behavior to advanced applications like ChatGPT and natural language processing.
• AI video analysis: Learn how Camio’s technology allows for real-time video analysis, identifying deviations from policies and ensuring compliance.
• Video analysis AI: Take a look at Camio’s system, which is deployed in various settings, including residential buildings, universities, and companies, to monitor and ensure safety.
• The future of AI: Dr. Guillaume-Joseph shares her vision of AI’s future, including its potential applications in healthcare to improve patient experience and offload doctors.
Find the transcript and show notes at:
Where to find Dr. Guillaume-Joseph
LinkedIn – https://www.linkedin.com/in/dr-gina-guillaume-joseph-ab96962/
Where to find Bob Friday
LinkedIn – https://www.linkedin.com/in/bobfriday/
—–
To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the below channels:
Apple Podcasts – https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892
Spotify – https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2
YouTube – https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C
—–
Have any suggestions for future episodes or want to be a guest on the show? Reach out to us at Q-AI-podcast@juniper.net.
We hope you enjoyed this episode!
YouTube Chapters
1. Introduction and welcome – Welcome and introduction of the event and guest, Dr. Gina Guillaume-Joseph 0:00
2. Dr. Guillaume-Joseph’s background – Dr. Guillaume-Joseph discusses her educational background and early AI journey 0:24
3. Early AI work – Discussion on predictive analytics model for software project failure 0:37
4. Defining AI – Dr. Guillaume-Joseph’s definition of AI and its evolution 1:18
5. AI technologies and applications – Discussion on computer vision, deep learning, and Camio’s work 1:26
6. Camio’s development and use cases – Overview of Camio’s development and its applications in security and compliance 3:40
7. Real-world applications – Example of Camio’s use in a hotel setting for safety and security 5:04
8. The future of AI – Dr. Guillaume-Joseph’s vision for the future of AI, including AGI and emotional AI 6:01
9. Regulations and compliance – Discussion on AI regulations and compliance in the U.S. and Europe 7:04
10. Healthcare applications – Potential use of AI in healthcare for improving patient experience and offloading doctors 9:59
11. Closing remarks – Final thoughts and thanks to the audience 10:40
Resources:
What is explainable AI? https://www.juniper.net/us/en/research-topics/what-is-explainable-ai-xai.html
Explaining AI is Key to Trusting AI and Adopting AIOps https://blogs.juniper.net/en-us/industry-solutions-and-trends/explaining-ai-is-key-to-trusting-ai-and-adopting-aiops
An Industry First: Benchmarking an LLM on a Multi-Node AI Inference Ethernet Fabric https://blogs.juniper.net/en-us/industry-solutions-and-trends/an-industry-first-benchmarking-an-llm-on-a-multi-node-ai-inference-ethernet-fabric
