Deep Learning advances applied to business cases

1. Deep learning advances
applied to business cases

2. Who we are
Luca Di Persio
R&D Head
Stefano Di Persio
CEO
Francesco Cordoni
Quantitative Analyst
Alex Gonchar
CTO

3. Who we are
 Financial analysis
 Energy markets analytics
 Statistical analysis
 Predictive analytics
 Image analysis
 Sensor data analysis

4. Deep Learning
1980s
Convolutional
networks
1990s
Recurrent networks
1960
Backpropagation
1969
Multilayer networks
1847
Gradient descent
1988
Autoencoders
1984
Reinforcement learning

5. Multimodal
learning

6. Multitask
learning

7. Injections
in classical
models

8. Transfer
learning

9. Bayesian deep
learning

10. Interactive
forecast
visualizations

11. Deep learning
advances
applied to
business cases
In terms of forecasting metrics
we achieve at least 10x performance
boost comparing to classical
methods

12. Deep learning
advances
applied to
business cases
In a comparison with
the Facebook Prophet
forecasting system
our methods have reached
10x higher accuracy

13. Deep learning
advances
applied to
business cases
In a recent project
in energy market,
our forecasting model
has reached +20% accuracy
than the current supplier.

14. Deep learning
advances
applied to
business cases
For one of the market leader
"open innovation" platform
we have recently developed a complex
algorithm able to forecast the evolution of
technology in a specific sector
through the analysis millions of patents,
research papers and scientific articles.

15. ASK THE EXPERTS
TECH: alex.gonchar@hpa8.com
SALES: stefano.dipersio@hpa8.com