Can AI help you share information in more languages and regional dialects? In this webinar hosted by Nisarg Desai, Pluralsight VP of Product Christiana Chen discusses how new AI technologies can accelerate efforts when making knowledge global. Recognizing that knowledge transcends language, Christiana will discuss ways to provide inclusive, precise content while addressing the complexities of voice, video, language, and AI technologies to drive accuracy.
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Show Notes:
- Christy has a diverse background with interests in languages, video games, and piano playing.
- Christy chose product management because it allows her to combine her curiosity, desire to improve with practice, and enjoyment of the work.
- Navigating the current job market requires being proactive, articulating what you want, and actively networking.
- Making knowledge global is about making information and valuable knowledge accessible to anyone, regardless of location or background.
- AI can help make finding information easier and faster through techniques like intelligent search, semantic search, and metadata enhancement.
- AI can be used to create highly realistic videos by analyzing speech, facial expressions, and lip movements.
- Simulated virtual learning environments can help teach abstract concepts in a more interactive and immersive way.
- Adaptive and interactive learning systems can provide personalized support and adjust to individual needs.
- Challenges with AI-generated content include bias in training data, accuracy of emotional expressions, and the potential for misrepresentation.
- Strategies for addressing these challenges include transparency, watermarking, and a proactive risk-taking approach.
- The era of search is shifting from finding the single correct answer to finding a set of “good enough” answers.
- Successful use cases of AI include translation and personalized content recommendations.
- To become an AI product manager, it’s important to deeply understand the AI technologies and their appropriate applications.
- Deploying expensive AI models should be done judiciously, only when necessary to solve the problem at hand.
- AI can help reduce barriers to learning and make knowledge more accessible globally.
- Ethical considerations around AI-generated content, such as deep fakes, need to be carefully addressed.
- Collaboration between humans and AI can enhance learning and knowledge sharing.
- Personalization and adaptability are key to making learning more effective with AI.
- Monitoring and governance are crucial when deploying AI-powered products and services.
- The future of learning and knowledge sharing will be significantly shaped by advancements in generative AI.
About the speaker
With 17+ years’ of deep expertise experience in product and technology for enterprise platforms, Christiana serves as the Vice President of Product at Pluralsight, a technical education up-skilling platform for Fortune 100 enterprises. Christiana is known for driving strategic, technical, and market-based decisions required to build successful solutions, with a strong focus on accelerating operational efficiency and innovation through platform optimization. Prior to Pluralsight, she was the Head of Product at Skupos (acquired) and held various product and engineering leadership roles at Intuit, Flexport, Apptio, Boeing and more. She is also a serial entrepreneur on venture-backed startups and holds 5 AI patents. Originally from Hawaii, Christiana was trained at the Massachusetts Institute of Technology and the University of Washington.
About the host
Nisarg is currently the Director of Product at cloud security unicorn Lacework, and has a decade of experience in Product Management with the entirety of his focus on securing enterprises from cyberattacks. He has built both 0-1 and 1-100 products in cybersecurity. He is passionate about pushing forward the field of product management by helping a diverse field of entrants grow into successful PMs. He lives in Boston, MA.