We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Edmondo Orlotti | Supporting the AI Journey through 2030 | Rise of AI Conference 2022
Explore the future of AI from 2022 to 2030, covering swarm learning, federated learning, edge computing, data management, and more, and discover how AI will transform industries and daily life.
- AI techniques for traditional simulation are becoming increasingly relevant
- Swarm learning is a solution for scale learning
- Federated Learning is another approach for edge AI
- AI in production is a complex task that requires data management and movement
- Edge computing will play a significant role in AI adoption
- Large language models will have a huge impact on society
- Dataspaces are an effort from the European Commission to create a platform for data sharing
- MLOps platforms are essential for AI model management and deployment
- AI at scale requires complex infrastructure and multitenant environments
- Data management and movement will be a significant challenge in the future
- AI adoption will change the way people live and work
- HPC (High-Performance Computing) will be used to support AI workloads
- Open-source software will play a crucial role in AI development
- AI is effective only when applied and scaled at large
- Edge AI and edge computing will be critical for IoT devices
- AI will have a significant impact on autonomous driving and healthcare
- Trust and security will be essential for AI adoption