AI Discovery Days
online
Discover new technologies, applications and solutions for Artificial Intelligence and Machine Learning in one single day
The Discovery Day highlights future trends for Artificial Intelligence and Machine Learning (AI/ML), clarifies different AI/ML technologies, applications and use cases, and demonstrate solutions.
Over the next few years, AI/ML will evolve into new applications never seen before in almost every market segment including smart industry, smart city, smart home, automotive, healthcare, agriculture, and aerospace and defense. Challenges must be overcome to create unique AI/ML applications.
Experts with deep insight into AI/ML will discuss applications, technologies and solutions and will be eager to answer your questions and projects.
The AI Discovery day covers 3 main topics:
- AI/ML future trends, impact and needs for the top 5 market segments
- AI/ML Key technologies with solutions related to image and video analytics, predictive analytics, sound analysis and speech processing, and activity analytics
- AI/ML applications and use cases, supported by 20 state-of-the-art solution demos
The AI Discovery Day is set up for AI experts, engineers and decision makers who need to understand the future trends for AI/ML in the different market segments, and also want to develop new ideas to aid in their decision making regarding the creation of their own unique AI/ML products. All levels of experience are welcome from people exploring AI/ML possibilities, up to highly-qualified machine learning experts.
Join one of the AI Discovery Days now in order to generate ideas for your own unique AI/ML applications!
Agenda
Our online AI Discovery Day will consist of 8 presentation sessions of 25 minutes each.
| - | Shaping your future with machine learning – AI/ML key technologies, future megatrends, and use case examples |
| - | Smart solutions with machine learning core - Use machine learning on sensors and microcontrollers for industrial applications and home appliances |
| - | Essence of AI and cloud for Industrial IoT - Insights why AI is essential for a cloud strategy for Industrial IoT devices with reliable and secured connectivity |
| - | Reduce critical risks when implementing machine learning – improve AI/ML applications from the start to have the most optimized outcome |
| - | Image considerations for AI systems – overcome pitfalls developing smart cameras for security, industrial, and automotive applications |
| - | Enhance endpoint AI – solve the dilemma to have highly flexible endpoint AI applications with ultra low power consumption and high performance for industrial applications |
| - | User identification and safety – edge face recognition, voice control, and industrial safety for smart home and smart industry |
| - | Create highly flexible and future-proof AI applications – use reconfigurable & adaptable AI engines for any kind of machine learning task |