1. Lean into More Efficient Databases
One of the most critical components in advanced ML initiatives is the quality of the agency’s database management system.
Deep learning requires massive amounts of data. Although AI can process large data sets faster than a human, databases must keep pace with the complex processing needed to derive actionable insights without human intervention.
To take advantage of deep learning and meet the needs of advanced AI algorithms, forward-thinking agencies must upgrade to more powerful and efficient databases with unlimited throughput, scalable processing power and zero latency.
2. Leverage Cloud-Hosted Databases
To accommodate the explosion of information generated and collected by agencies, and gain intelligence from it, state and local government must continue to invest in cloud-hosted database services.
Compared with on-premises data centers, cloud-based solutions are less constrained by operational or technical requirements, making them more scalable and able to store and process ever-increasing amounts of data. When managed well, they can improve performance across agencies and reduce costs.
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