When we talk about impressive strides in AI development, there is no way we would miss the big players like the United States and China or companies like Google, Baidu, Amazon and Microsoft. Home to significant investments, cutting edge research, top talent and thriving ecosystems, pushed forward and nourished by the greatest leaders in the industry – these regions serve as the epicentre of the buzz. Yet, while focusing on the mainstream hype, we risk missing the significant leaps being taken in other parts of the world. Zooming into the Northern corner of Europe, we in fact see notable AI initiatives and strong determination to catch up in the race. The Estonia-based team behind North Star AI – a top talent community for engineers and data scientists – has taken note of its surrounding regional potential and is now leading the way in bringing Nordic AI cooperation to the next level.

Happening this year on March 7 in Tallinn, the North Star AI annual conference will bring together leading AI practitioners and companies around the world to talk about real-world applications of data science and machine learning. It also aims to stimulate AI adoption in Northern Europe and educate the population on how to harness the opportunities offered by AI while providing them with the necessary skills to partner with machines. We know that tech giants like Amazon, Baidu, Facebook, and Google have AI advantages like collecting enormous amounts of data, access to top talent, huge investments to R&D, over smaller companies. However, the possibilities offered by AI are not reserved only for the largest companies and biggest economies. Estonia is looking for ways on how to attract international talent and investments.

North Star AI, machine intelligence conference for developers is happening for the first time in 2018, March 8th! The focus of the conference is Machine Learning, AI and Data Science. This includes Scaling Deep Learning, Teamwork, Data Science Shift, Computer Vision, Robotics, NLP, Semi-supervised Learning, Blockchain, Recommendation Algorithm, Data Science Systems, Decentralized Computing. Topics are 100% practical with lots of case studies. This is a place to learn, share experiences, discuss challenges and meet like-minded people from all over the world!