deepsense.io premiere: New Polish project to be presented to the world in June in the U.S.A.
deepsense.io is a startup supported by CodiLime, a growing Polish software company. The main project being developed by the best programmers Poland has to offer is DS Studio, an innovative platform for complex Big Data analysis using machine learning solutions. This is precisely what will be presented at two large IT conferences taking place in June in California: Hadoop Summit and Spark Summit.
deepsense.io has just launched its website (deepsense.io) and is becoming increasingly active on social media. Now, the project’s intense development will be easier than ever to observe and monitor.
The next step of the market-entering process will be the team’s trip to the U.S.A. to attend two well-known industry conferences, Hadoop Summit (9-11.06.2015 in San Jose) and Spark Summit (15-17.2015 in San Francisco), where DS Studio will be shown directly to potential clients and business partners.
“Being able to present our company during events so well-known in the IT industry is a unique challenge. We will be presenting our solutions side by side with some of the oldest and most reputable data analysis companies that offer the best business solutions available. We’re jumping right into deep water,” says Piotr Niedzwiedz, technical director at deepsense.io. “We have a really well-prepared tool and the best people out there creating it and supporting us, so we feel we are ready to take on another continent,” he adds.
deepsense.io knows it’s reaching high. The American market is demanding and very competitive, but clients appreciate innovation and the undeniable talent Polish programmers possess. “CodiLime has been working with key clients in this market for four years now, and the joint projects just keep coming. Poland has a lot to offer its Silicon Valley partners and deepsense.io will definitely take advantage of that fact,” says CodiLime’s CEO Tomasz Kulakowski.
At Hadoop Summit, Piotr Niedzwiedz’s team will give one of the lectures on the Data Science & Hadoop path titled, “Machine learning on Hadoop data lakes”. This presentation won the vote for the most interesting externally-proposed topic, beating over 80 other ideas and making the conference’s main agenda.
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