While the big data market is expected to grow from USD 28.65 Billion in 2016 to USD 66.79 Billion by 2021, the artificial intelligence market is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025. Artificial intelligence and machine learning can be emphasized in the role of data scientists today. According to IBM, the number of jobs for all US data professionals will increase by 364,000 openings to 2,720,000 by 2020. Companies are making incredible strides in artificial intelligence today, but there are still many unanswered questions about the development of this technology. There are a number of open questions that need to be resolved about the state of companies and when they can start to incorporate AI into their business in a revolutionary way.

There are numerous reasons why a data manager would be tempted to leave his/her job. As a manager or business owner, put a stop to the brain drain by ensuring the data team is not siloed and that they are able to communicate and easily with others who have perhaps more business context or interesting projects to work on. Try marketing the data team by showing other teams throughout the company what the data team is there for and what they can do to help improve processes or products will surely drive more projects their way. Focus on hiring data scientists based on other skills besides simply technical ability (per above, technical abilities are important, but not everything). Namely, communication skills – a data scientist has no hope of enlightening the average business user with an Excel file.

What are the most important unanswered questions in natural science that are likely to be answered by 2025? What are the most important unanswered questions in natural science that are likely to be answered by 2025? It's difficult to say, partly as it's hard to know which questions are within our reach and partly because it's impossible to say which questions are the "most important". I personally think the greatest unanswered questions lie within the human brain. Specifically, we still have little understanding of the connection between the different levels of brain hierarchy: from detailed molecular mechanisms to the understanding of whole neuron cells, to entire neural networks comprising billions of cells and inter-neuronal connections.