Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead.
Increasing focus on building data culture, organization, and training
In a recent O’Reilly survey, we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.
With the average shelf life of a skill today at less than five years and the cost to replace an employee estimated at between six and nine months of the position’s salary, there is increasing pressure on tech leaders to retain and upskill rather than replace their employees in order to keep data projects (such as machine learning implementations) on track. We are also seeing more training programs aimed at executives and decision makers, who need to understand how these new ML technologies can impact their current operations and products.
Read more at O’Reilly
