Drive AI Success With a Modernized Data Infrastructure

Did you know that around 85% of AI projects fail, with data access often attributed as the top reason for their failure?

With AI’s potential to boost public service delivery and cut costs, agencies need to create an intelligent data infrastructure (IDI) tailored for their government environment to help AI projects come to fruition.

Let’s take a closer look at what the right IDI solution should do for your organization:

Deliver an intelligent infrastructure. A modern, unified and automated data storage and management system, known as intelligent data infrastructure, helps provide data mobility and commonality in how
data is secured and managed. For AI workloads, IDI “helps to manage, analyze and utilize data effectively for AI development and deployment, addressing challenges like data silos, workload scalability and data availability,” said Josh Boyd, Senior Solutions Architect at NetApp.

Be tailored for government. IDI can be delivered in ways that meet government-specific needs. For instance, agencies may have classified environments and other unique security requirements. In government, “you need an authority to operate, you need to provide detailed reporting, security, and
automation, and those things go through multiple gates of review before they get implemented,” said Judson Graves, Field Chief Technology Officer at ThunderCat Technology. The right partner will deliver IDI in a way that checks all those mandatory boxes, “making sure that everyone’s on board, and that nothing gets lost in the shuffle.”

Put the focus on data. To support AI, a scalable data infrastructure matters. With AI projects and programs, the data tends to amplify exponentially, and solutions need to scale as the demands of the AI solution grow. Universal data management is likewise key to success. “You need a common plan for how to manage and store and secure the data, so that you aren’t dealing with multiple separate tools,” Boyd said. That’s what allows you to use the infrastructure intelligently and to automate processes, reducing the burden on administrators, users and data scientists.

For best practices on how to build an IDI and a real-life use case, “How IDI Helped an Agency Launch an AI Pipeline,” download this new report, How a Modernized Data Infrastructure Can Drive AI Success.