I was honored to be among the speakers at RAICamp 2015, which is devoted to the future of Robotics and Artificial Intelligence, and was held at the campus of the famous PhysTech, also known as MIPT (Moscow Institute Of Physics and Technology).
My talk was called "At The Frontier of The Augmented Intelligence. What's next after Quid, Palantir, and Recorded Future?" Below you can find both the video (in Russian), as well as the slides (in English).
MIPT is one of the leading worldwide universities in the areas of physics, mathematics, and informatics. The institute holds a leading position in Russia in quality recruitment and qualified graduate training. Students and graduates of MIPT are representatives of an elite circle who, thanks to their interdisciplinary scientific surroundings, are able to fully realize their potential.
There is a lot of excitement in both the business and academic spheres around the opportunity of uniting data scientists and big data processing technologies together; this approach is commonly known as "Augmented Intelligence". But most of these technologies are building blocks, and most often individual users cannot afford inviting and hosting dedicated data scientists teams at their locations to organize and analyze their projects, as it is suggested by Palantir. At the same time, although Quid is quite user friendly, customers cannot use such tools as these tools can't work with users' data sources, but only work with the public and commercial data sources like Bloomberg Network.
Today, before users like project managers can realize the promise of big data tailored to their specific needs, they have to hire companies like Palantir to carefully mine, analyze, and organize their data. In contrast, we believe that there is another, new way, that could use the expertise users already possess in combination with the big data processing algorithms, and produce similar results but at the bigger scale.
This walk was made on Saturday, August 1st, at 2:15pm, at the RAICamp.
There is a lot of excitement in both the business and academic spheres around the opportunity of uniting data scientists and big data processing technologies together; this approach is commonly known as "Augmented Intelligence". But most of these technologies are building blocks, and most often individual users cannot afford inviting and hosting dedicated data scientists teams at their locations to organize and analyze their projects, as it is suggested by Palantir. At the same time, although Quid is quite user friendly, customers cannot use such tools as these tools can't work with users' data sources, but only work with the public and commercial data sources like Bloomberg Network.
Today, before users like project managers can realize the promise of big data tailored to their specific needs, they have to hire companies like Palantir to carefully mine, analyze, and organize their data. In contrast, we believe that there is another, new way, that could use the expertise users already possess in combination with the big data processing algorithms, and produce similar results but at the bigger scale.
This walk was made on Saturday, August 1st, at 2:15pm, at the RAICamp.
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