We live in a rapidly changing world. Data volumes explode, 90% of all data in the world is created in the last two years . Also, automation will lead to a loss of 5 million jobs in 15 major developed and emerging economies. New technologies will require new knowledge and skills. Due to the disruptiveness of new technologies, employees must learn continuously and at an increasing pace. What innovations in do we need to acquire these skills to succeed?
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() and smart machines will become integral to virtually every domain in our lives. We speak about when computers perform tasks that normally need human intelligence. Examples of these are search engines, Chatbots are computer programs which were engineered to converse in spoken or written form with humans. They are usually used in dialogue systems with a limited topic range. For example, they can answer basic customer questions or help you buy the correct train ticket. and personalized recommendations based on Data analysis is simply put the study of data in order to take better informed decisions. All business decisions should be made with the best information available, data analysis tries to provide this information through different algorithms and statistical techniques.. could double annual economic growth rates by 2035, states research from Accenture . On the other hand, will displace humans in some tasks and knowledge about today’s machines becomes obsolete. In this article, we explore the way transforms . First, we look at how helps us to make sense out of information. Second, we look at the opportunities that offers to improve our ways of .
Which skills do we need?
We never had so much information about the world we live in as today. But, there is so much information, that we need skills to filter the knowledge we need. The fact that we can now convert everything into data, results in an increasing focus on manipulating the data to the desired outcomes. As is described in the report on Future Work Skills 2020 (Institute for the Future) , working with data becomes very important. For example, skills as cognitive load management and computational thinking are essential to analyze, filter and manipulate data.
We need to have computational thinking skills to translate amounts of data into abstract concepts and to make data-based decisions. With the increased amount of data, it becomes important to filter the right information (cognitive load management). can help us to filter information, but we need to understand how to apply a variety of tools and techniques to effectively filter and focus on what is important. Wouter-Jan Kleinlugtenbelt, Global Head of Academy at AkzoNobel and jury member at the Accenture Innovation Awards, acknowledges the importance of new skills: “You can find information everywhere. It becomes more important to know how to learn, accumulate and apply knowledge.” […]