All current Conference Talks courses in 2024
731 Courses
Automate Customer Ticket Handling - From an Idea to a Production Ready Model
Learn to develop and deploy an AI model for automating customer ticket processing, from initial concept to production-ready implementation, enhancing business efficiency.
How We Democratize AI with Linux Foundation Open Source
Explore Linux Foundation's efforts to democratize AI through open-source projects like Acumos AI, enabling visual workflows for AI design and a marketplace for sharing models across industries.
Simplify, Speed and Improve Development with DevOps
Explore DevOps practices for AI and ML projects, including Agile, CI/CD, and tools like GitHub and Azure DevOps. Learn to streamline development processes and enhance project efficiency.
Cracking the Code - Neuronal Networks in the Brain
Explore cutting-edge techniques for studying biological neural networks, their efficient encoding solutions, and how they inspire AI algorithms for learning and navigation. Discover similarities between artificial and live brain behavior.
Heartificial Intelligence - Embracing Our Humanity to Maximize Machines
Explore ethical AI design and its impact on humanity. Learn how to align machine intelligence with human values for a harmonious technological future.
Data-Driven and Cloud-Native Ecosystems in the Automotive Industry
Journey of BMW Group IT's Cloud Data Hub: Exploring data platform archetypes, cloud adoption motivations, architecture decisions, and core AI use cases in the automotive industry.
Building Experiences for the Superhuman Future
Explore the future of technology and human experience in the rapidly evolving digital landscape. Discover how innovation impacts society, emotions, and the symbiosis between human ingenuity and machine intelligence.
Where Machine Intelligence Ends and Human Creativity Begins
Explore the intersection of artificial intelligence and human creativity with chess legend Garry Kasparov, examining the future of human-machine collaboration and its impact on innovation.
Staying Safe in the AI Future
Explore strategies for responsible AI development and usage, focusing on data quality, bias mitigation, and ethical considerations to ensure a safer AI-driven future.