Digital transformation is well underway across the federal government and commercial industries—and the journey reveals complexities, new challenges and opportunities. The change management puzzle before organizations is how to modernize and transform without disrupting operations, while maintaining the support of employees and leaders.
Artificial intelligence has advanced the science of economic modeling to allow forecasting the potential effects of a large number of variables on the economy across multiple dimensions, in real time. Many federal agencies can leverage this emerging power.
Data scientists are taking on new importance as the challenges of turning raw data into an organizational asset become more and more daunting. Today, it is the data scientists rather than software developers who are likely to be called on for the task. They have the knowledge and the tools to convert our financial, operational, social and other data into useful information, which in turn helps federal agencies (as well as other public and private sector organizations) in many ways.
The federal government is entering an era where data analysis is taking on even greater importance at the same time emerging technologies such as intelligent automation (IA) are enabling better and faster analysis work. Thus, it’s no surprise that the President’s Management Agenda (PMA) highlights leveraging data and analytics as a priority enabler this year.
Government agencies collect, analyze and disseminate a large volume of data. While much attention has been paid in the past few years to how they collect and analyze data, less attention has been paid to how they disseminate and share (non-sensitive) data with the public.