A strong data strategy involves decisions with data at the forefront, not lumped in with AI, ML, cloud migration and other technologies.
Posts By Stephanie Kanowitz
State and local agencies are focused on digital transformation and cybersecurity hand in hand, with software at the heart of digital transformation.
Artificial intelligence is seen as essential to getting more value out of data. But there’s a skills gap.
Agencies need to begin building citizen trust now, and one way is by offering consistently secure access to information.
As the government’s complete reliance on digital technologies expands, it becomes harder to secure the growing network of new devices, IT systems and cloud solutions. In short, the network is the mission.
The result of automation and cloud is a more efficient and effective agency, looking at cloud-based automation as a cycle will help make it fit your agency.
Often when agencies think about modernizing systems, they think about implementing a cloud solution, but automation is also essential to embrace the power of efficiency.
To help other government officials understand risk and their role in minimizing it, Minnesota IT Services (MNIT) created Risk Management Scorecards that have fostered communication — and security — since 2015.
John Correllus, Deputy State Chief Information Officer and Chief Data Officer, shares how the state is embracing analytics to boost effectiveness and efficiency.
As agencies seek to move more sensitive data to the cloud, private cloud models are gaining popularity.