Data management has become a critical aspect of operations across the federal government in the digital age. The sheer volume of data generated daily requires efficient and effective management tools. Enter artificial intelligence (AI)-powered automation, a catalyst for enhanced data management and governance in government.
Government needs to do more than simply collect raw measurements if it wants to really understand the impact of any initiative, including in the realm of cybersecurity.
When data is scattered across the enterprise, it may be impractical to pull it all together. But there are tools that let you reach it where it is.
In today’s world, people need to understand their agencies’ data landscapes — including the data sources, quality, integration and security, and the value it brings to the business.
A staggering number of organizations lack the cyber talent they need to protect against cyberattacks. But agencies that deploy certain strategies can help compensate for their staffing shortage.
Here are three exercises that can help you ramp up people analytics capabilities and shift toward adopting a true customer experience mindset.
Identity is more than a credential — it’s the metadata that makes up the identity. Learn to use identity as the basis of security.
Legacy data management solutions weren’t designed to analyze data scattered across an organization, most likely in siloed systems and both on premises and in the cloud. What agencies need is a common data platform that indexes the data where it currently exists.
A robust digital transformation strategy can help state and local governments better meet citizen expectations. Experience-as-a-service, or XaaS, solutions play an important role.
The pandemic drew new attention to the convulated process of data sharing between the Centers for Disease Control and Prevention and state and local authorities. A new cloud-based initiative has modernized the system.