Pre-qualify for project funding
Answer a few questions to see if you qualify for funding to support your cloud projects.
Explore the integration of Data Mesh—a cutting-edge, decentralized data architecture—with the robust capabilities of Microsoft Fabric.
From Open AI to RPA bots, bravely embrace the game-changing new possibilities for innovation and productivity improvement with a dedicated team of experts at the helm.
Navigate the transformation journey with confidence as our expert team guides you through seamless cloud adoption, optimizing infrastructure, and unlocking the true potential cloud.
Revolutionize the way you do business and ignite the power of your people through innovative application development that fuels business growth, unlocks new opportunities, and keeps you ahead of the rapidly evolving digital landscape.
Leverage the full potential of your data and gain valuable insights to make informed decisions with our advanced data and analytics solutions, empowering your business with the data needed to achieve more.
Helping experts in their fields by being experts in ours. Transform your organization, grow your business, and solve your most challenging problems with cloud solutions from AIS.
improvement in data transfer speed for a large government agency
major utilities users supported by platform consolidation
migrated to Azure from on-prem sources for a large financial services organization
Navigate the cloud landscape with confidence by working with AIS, one of the first 15 companies nationally to achieve seven Microsoft cloud designations.
Ready to take your career to the cloud? Join our team.
In the realm of calendar and scheduling applications, managing repeating events can be a complex task. In a recent project,...
What are Azure Verified Modules? Azure Verified Modules are pre-built, reusable infrastructure as code (IaC) components that have been vetted...
Data Mesh represents a paradigm shift in enterprise data management, focusing on decentralization, domain-specific ownership, and treating data as a...