This topic will be covered by the Data Science panelists at the first-ever Ukraine House in Davos on the sidelines of the World Economic Forum. Borys Pratsiuk, Head of R&D Engineering at Ciklum, will speak about ensuring human power over data and the expertise required. During the panel discussion, the experts will highlight the actions needed to make sure that there won’t be a clash of AI and humans, as well as the new requirements to the tech talent and expertise in this field.
Today an estimated 2.5 quintillion bytes of data are created daily. Within these enormous volumes lie the insights that could enable business to gain a competitive edge and provide a better consumer experience. It’s easy to understand the appeal of the instantly accessible data that so many organizations have begun to collect and store. As valuable as this kind of big data can be, it also presents serious challenges.
How will the changes data analysis brings to the industries impact the requirements for tech talent and expertise? How to ensure businesses and governments have enough professional human capacity to deal with the data and its challenges?
The Data Science Panel will take place on Wednesday, January 24, 2018. It will unite the experts from Ciklum, Soros Fund Management and the Ukrainian Parliament for one hour discussion about what businesses and governments need to do to have enough professional human capacity to deal with the data.
Borys Pratsiuk, PhD, Head of R&D engineering at Ciklum
- Winner of the IoT World Hackathon 2016 in USA with the Smart Defibrillator App using AI
- Winner of the Garage48 IoT & Machine Learning Hackathon with the smart drink mixer machine using ML algorithms
- IoT Expert and Speaker of the international tech conferences (infoShare 2016 Tech Stage, DevTalks Bucharest)
What about the data science experts tackling the challenges?
The enterprise-generated data is expected to exceed 240 exabytes daily by 2020. For this reason, the specialists trained in extracting insights from data are highly demanded than ever.
The demand for data scientists continues to grow rapidly, far outpacing the anemic growth in supply. Globally, it is projected to exceed supply by more than 50 percent already in 2018.
Ukraine possesses a solid mathematical background – a necessary ingredient for AI and Machine Learning expertise. Meanwhile, over the past 26 years, Ukraine’s critical thinking and creativity capabilities have exploded exponentially, spurred by a young globalized generation.
All this, combined with a proven technology partnership to the world leaders in different segments, positions Ukraine well to evolve into a Data Science lab.
What businesses and governments need to do to have enough professional human capacity to deal with the data? How to prepare the experts for the challenges occurring with the data evolution? These will be the questions answered by the Data Science panelists in Davos this Wednesday.