Goto

Collaborating Authors

Results


European Data Science Salary Report 2020 Key Insights » Big Cloud Big Cloud

#artificialintelligence

We've most certainly learnt a thing or two about what makes a thorough and informative salary report since conducting our first salary survey in 2017. Our European Salary Report for 2020 has seen a response of more than one thousand participants which has enabled us to provide a truly data rich and comprehensive insight on what the Data Science market currently looks like. The top countries to provide responses to our survey during 2019 came from Germany, France, Switzerland, The Netherlands and The UK. Much like our 2019 survey, many respondents were Data Scientists, but we've also collected results from Data Engineers, Researchers, Machine Learning Engineers and C-Level professionals. This report covers a broad scope of professions in the European data science market at all levels.


How to Define and Execute Your Data and AI Strategy · Harvard Data Science Review

#artificialintelligence

Over the past decade, many organizations have come to recognize that their future success will depend on data and AI (artificial intelligence) capabilities. Expectations are high and companies are heavily investing in the area. However, our experience advising organizations in diverse industries suggests that many have also become disillusioned in their journey to create companywide, data-driven business transformation. This article discusses some of the common pitfalls in the implementation of data and AI strategies and gives recommendations for business leaders on how to successfully include data and AI in their business processes. These recommendations address the core enablers for data and AI capabilities, from setting the ambition level to hiring the right talent and defining the AI organization and operating model. Many companies are currently investing in data and artificial intelligence (AI). Since the terminology varies, the activities may be called AI, advanced analytics, data science, or machine learning, but the goals are the same: to increase revenues and efficiency in current business and to develop new data-enabled offerings. In addition, many companies see an increasing responsibility to contribute their AI expertise toward humanitarian and social matters. It is well understood that to stay competitive in the digital economy, the company's internal processes and products need to be smart--and smartness comes from data and AI. Over the past 4 years, our company DAIN Studios has been involved in more than 40 Data and AI initiatives in different companies and industries in Finland, Germany, Austria, Switzerland, and the Netherlands. Our clients are typically large, publicly listed companies.