Mapping a Fruitful AI Journey for GovCon Companies
Companies can maximize AI’s power and versatility to enhance their government business and efficiently meet compliance obligations. Here’s how.
Companies can maximize AI’s power and versatility to enhance their government business and efficiently meet compliance obligations. Here’s how.
In Part 2 of their blog series, two featured contributors explore how AI Factories help organizations maximize their data potential and advance business priorities by using AI/machine learning.
Outdated systems can stifle innovation and frustrate users. But with machine learning, organizations can streamline their operations and implement a more user-centric approach.
The release of AI foundation models allows organizations to take advantage of broader community investments in AI. But there’s a catch: Agencies need to tweak and train these models to meet their specific objectives, maintain privacy and ensure regulatory compliance.
AI is becoming more than just a tool for the government workforce. It is helping fill perennially open positions, and provide a more modern experience for government employees.
In Macomb County, Mich., public works is using drones and AI to inspect sewer lines. Learn how this technology is saving money and improving maintenance on vital infrastructure.
Agencies may struggle to bring AI to life. They may face challenges deciding where to house AI infrastructure and when creating guardrails for safe data usage, including bias removal and data authenticity. Best practices can help implement AI safely, securely and effectively.
For the last two years, people across government have been getting a crash course on generative AI, whether they have wanted it or not. Agencies recognize that generative AI is one of those rare technologies that truly qualifies as a game-changer, and they are looking to understand the extent of its potential as well asRead… Read more »
Mobile apps offer governments an immense opportunity to provide modern, user-friendly services to constituents. Automated testing can help these apps live up to their potential.
You can’t have an AI strategy without a data strategy, says Matthew Rose of Snowflake. To be ready for AI, you need an ecosystem for data.