Agencies Seek Gains Through Precision Modernization
Agencies today often pursue targeted modernization programs, rather than sweeping changes. Here are four areas in which they’re devoted modernization resources.
IT Modernization
5 Ways That Agencies Are Ailing From Legacy Systems
Legacy systems are more of a drag on agency functions than you may realize. Here are five problems they may be causing in your organization.
Knowing When, Where and How to Modernize
Modernization can be a game-changer for government, but there are unique challenges in the public sector. Here’s how one innovator manages the change.
Delivering What the Public Expects
We interact every day with brands and services that shape our expectations of how government should engage with us. Applying for public services should be as easy as online shopping. Here’s how to get there.
Making Generative AI Government-Ready
This blog details how generative artificial intelligence, when used securely, can boost agency efficiency.
Despite Challenges, Agencies Can Successfully Scale Cloud Capabilities
The federal government is reaffirming its commitment to cloud technology, but despite cloud’s many benefits, agencies struggle with migration to cloud-based systems. To overcome their hurdles, organizations should consider four specific solutions.
Prioritizing Data in Government Technology Modernization
In government, digital modernization often overlooks enterprise data management, which results in fragmented ecosystems that limit modernization’s full potential.
Spring Into Online Training in March
Check out this month’s online training sessions and register now.
Need to Improve CX? Low-code Automated Testing Can Help
Agencies that rely exclusively on manual software testing are missing the opportunities that automation provides, such as finding and resolving pain points quickly and efficiently, giving employees a more satisfying work experience, strengthening service delivery, and building constituent trust.
What Is MLOps? – Machine Learning Operations Explained
Dive into the heart of MLOps, where data science meets DevOps, ensuring seamless integration of machine learning models into production. Discover the essential practices and tools for automating, monitoring, and managing the entire ML lifecycle.