How to Save Customers Millions by Detecting Energy Usage Fluctuations Based on Weather and Geospatial Data
Date: Tuesday, June 16th at 11am PDT / 2pm EDT
EnerKey is a market leader in the energy data management industry. By collecting data from IoT sensors and meters, they help retailers, schools and local governments understand their energy consumption levels better through their analytics platform. Their clients have become data-driven by being able to correlate data across multiple locations.
In this webinar, Martti Kontula will dive into:
- EnerKey’s strategy for reducing energy consumption
- How using a time series database enhances EnerKey’s competitive advantage
- Their approach to using machine learning to help their customers forecast and optimize operations
About the presenter:
Martti Kontula, Chief Technology Officer, EnerKey
Martti joined EnerKey, then known as Enegia, three and half years ago as an Enterprise Architect. Before joining Enegia/EnerKey he worked at software/project delivery companies for nearly 20 years as a developer, a technical lead, an architect or as a team leader. This experience has been invaluable, especially now that he’s more likely on the buyer’s side of the table, EnerKey uses some subcontracting to help build their products.
Before studying information technology at Jyväskylä University, he started his early career back in the 90’s when the internet was all new and full of opportunities. He remembers a curious technology stack where an online store was selling gospel CD’s – O’Reilly books for CGI programming in C. They were sold out at the local shop and he had to adapt them for the PERL version. He’s been reading and writing regexps in his dreams ever since.
He lives in a small community called Muurame next to the city of Jyväskylä with his wife. He’s a cycling enthusiastic, passionate golfer and ski instructor when he has some time off work.