GNNs (Graph Neural Networks) are an exciting AI architecture that advantage of complex relations hidden in your data. Just like convolutional networks were a breakthrough for visualization tasks, GNNs will be a...
Category - Data Innovation Summit 2020
Algorithms and Data – an Ethical Approach – Anusha Dandapani, United Nations
There is no doubt that advances in machine learning and robotics have impacted our everyday lives. But it’s worth asking are they driving value for everyone equally? Or are they inadvertently contributing further to...
Democratizing Data Science in a serverless manner – Ashish Arora, Autodesk
As companies are aiming to become more data-driven. The need for democratizing machine learning has become more and more requisite to give everyone the power of data-based insights. This talk would be focused on...
The Open ML and AI DevOps toolsuite of the future – Romeo Kienzler, IBM
In 2019 we’ve noticed a tremendous shift of client demand on model creation to model deployment and monitoring (CI/CD). This indicates a further step towards maturity of wider AI adoption within enterprises. In this...
IOT and ML for Smart Airport – Kiran Pande, Heathrow Airport
IOT provides real time data from airport operations. Fused with machine learning model outputs it can keep operations team ahead to mitigate risks and manage capacity better. We will analyse a real world case...
AI Studio @Lufthansa Group – A garage approach – Soeren Linau, Lufthansa Group
You like to know more what Lufthansa Group is doing in the area of artificial intelligence? I like to introduce the “LHG AI Studio” and give you answers to following questions: – Which projects did we implement already...
Demystifying 5G for IoT – Jelte Jansons, Telenor Connexion
There is a lot of buzz in the market around 5G, but what can 5G do for innovating through your data? In this session we will demystify 5G, separating the hype from reality, by explaining why relevant for connecting your...
Industrial AI and Cognitive Analytics. The human out of the loop – Diego Galar, LuleĂĄ University of Technology
AI technologies are expected to increase the efficiency and effectiveness of industrial processes. However, AI is not as well-used in industry as we might expect, given its potential. Enormous efforts are needed to...