Review of ML@Enterprise conference
The ML@ENTERPRISE conference took place on Tuesday, September 8, at the Airport Hotel Okęcie in Warsaw. Besides enthusiasts of machine learning there were representatives of banks and insurance institutions, e-commerce companies, telecommunications operators, industry and companies specializing in data manipulation.
The conference was divided into two parts: plenary session and workshop part.
During the plenary session, speakers focused mainly on answers to the two questions posed:
- “An overview of the strategy of artificial intelligence development in the world – How do others do this?”
- “Polish Artificial Intelligence Development Program – How to do it wisely?”
Below are the main statements that were found:
- The main reason why US is so highly developed in term of AI is that there was no legal regulation about data processing. However, in China the main reason for the development of AI was security reason. Facial recognition is the new hot tech topic in China. Banks, airports, hotels and even public toilets are all trying to verify people’s identities by analyzing their faces. And most surprised me fact that Japanese invest in AI due to ageing society. The Japanese government counts that AI compensate (replace people at work in certain areas) population decline and despite of demographic issue ensure a high standard of living for its citizens.
- The AI issue was discussed on G7 summit in Canada in term of international security. The following document was also adopted at the G7 summit in addition to the final communique: “charlevoix common vision for the future of artificial intelligence”.
- AMEX considers opening an office in Poland and employment of 600 employees (data scientist, data analyst)
- Companies that are willing and are open minded for use of AI at polish market: mBank, Alior Bank, Poczta Polska.
- To sell a AI product you need to use client language and this is the most difficult part.
- Margins for foreign clients are higher than in case of Polish therefore polish data companies decide to cooperate with foreign clients. (However, personally I know some Polish company e.g. GetInData which cooperate with polish clients)
- The application is created that will be able to improve our silhouette while yoga exercises. And another one (seems to me extremely useful) help us to recognize melanoma
After the plenary session there was workshop part and each participant could choose four of them. I attended in “Introduction to R in the context of Machine Learning” and “From data to action – visualization”. The only requirement for active participation was to bring your own laptop. All necessary data were shared online by facilitators before conference start.
In introduction to R, Marta Sommer from Agora showed in easy and very friendly way how to start using R. Participants had the opportunity to master the basics of this open source language, including factors, lists and data frames.
“From data to action – visualization” – Krzysztof Bury introduced the software QlickCloud. Participants had chance to do practical example together with facilitator. During the workshops were presented all steps of data processing starting from the import of data and ending with visualization-and all of this was done with use of Qlick software.
Both workshops were very useful, and participants had chance to solve real issues together with facilitator.
In my opinion ML@Enterprise was a big success. The speakers were all well chosen for the plenary session. And after that all attendees had great opportunity to practice real data issue at workshop session. The organizers provided a highly enjoyable and edifying conference experience.