Why AI Is an Asset to Your Modernization Goals
An expert detailed three key areas that agencies should prioritize to deliver data-driven outcomes.
An expert detailed three key areas that agencies should prioritize to deliver data-driven outcomes.
There’s no denying the benefits of big data in government. So why, then, does it feel like an aspirational goal for even the most well-intentioned organizations?
In an active planning environment, agencies can streamline reporting and access real-time data to address unexpected changes and plan for what’s next.
Replacing legacy technologies with modern, cloud-based solutions enables agencies to extend operations to wherever their employees are.
The COVID-19 pandemic has increased pressure on agencies in two key ways. First, they are facing unprecedented demand for remote work. Second, this push has strained their IT networks with historic burdens.
Without a pandemic at their door, organizations haven’t been as hard-pressed to transform their systems. But for those willing to take initiative in application modernization, it’s important to keep a few things in mind.
Integral Care of Travis County, Texas wanted to personalize contact center interactions by changing the way its agents engaged with callers.
The evolving remote workforce calls for agencies to proactively change the way they function while improving agility and productivity for the long-term.
A strong data strategy involves decisions with data at the forefront, not lumped in with AI, ML, cloud migration and other technologies.
According to a poll during the webinar, over 50% of respondents reported that their organization tackled some large-scale modernization project this year during the pandemic. Even more respondents – over 70% – expect efforts to accelerate in 2021.