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In a market where many claim experience, AIS has been actively immersed in the technology, collaborating with clients to craft practical strategies, deliver tangible solutions, share knowledge and resources, and develop IP to speed up results. We have built out generative AI capabilities on top of our broad AI and Machine Learning expertise and a strong Azure foundation so that we can help our customers achieve their missions. Check out some of the real solutions we’ve built, our growing mini-video series, various engagement options to help you get started quickly, and more below.
Discover strategies, use cases, demos, and more in our Applied GenAI video series.
Groundbreaking LLM capabilities redefine how machines process and understand textual information. Here’s what some of those capabilities look like in the real world.
An application that uses generative AI to improve the patient and family care journey. The solution decreases the administrative burden to apply manual changes to health data and information (e.g., clinical encounters), improves the patient and provider experience by providing access to timely and accurate data, and provides increased assurance in data quality to help equip providers (i.e., physicians and navigators) to make informed care decisions.
A generative AI chatbot developed for a global NGO and non-profit that helps international farmers get answers to questions through a WhatsApp mobile app and website to obtain answers from the country’s Department of Agriculture’s Good Agricultural Practices (GAP) documentation on farming best practices. This solution will be expanded to multi-lingual translation support.
An innovative proposal response writing co-pilot that uses the industry’s most advanced GenAI to accelerate proposal response completion, expand the diversity of included content, and validate requirement completeness. This leads to more winning proposals faster. Includes a knowledge repository implemented using a vector database and response engine constructed using a Python-based Retrieval Augmentation Generation (RAG) architecture pattern.
How do you apply generative AI to solve real-world problems? In our mini-series, we share insights on steps you can take to make GenAI work for you.
We discuss strategies, use cases, engineering approaches, demonstrations, and more. View the full series below.
We have various engagement options to help organizations like yours get started quickly. Ask us about available funding options through Microsoft to support pilots and deployment.
This service offering is designed to help businesses kick-start their AI journey. Our team will work closely with your organization to understand your unique business needs and goals. We will then provide you with a customized roadmap that outlines the steps needed to implement AI technologies into your existing workflows, applications, and systems.View in Marketplace
This offering is focused on accelerating the data insights needed to make informed decisions. Our team will work with your organization to identify the data sources that are most critical to your business’s success. We will then leverage AI and machine learning technologies to transform that data into actionable insights that can be used to drive business outcomes.View in Marketplace
This engagement enables your organization to determine its readiness and risk profile for delivering generative AI solutions using Azure Open AI and define an effective governance approach tailored to your needs. We work with you to define a cross-functional team’s scope, roles, and responsibilities to enable your organization to manage the unique opportunities, changes, risks, and challenges of adopting generative AI.View in Marketplace
Join us as we explore how Generative AI is transforming Insurance, Healthcare, and other industries, driving efficiency, quality, and automation.
Years working with Microsoft Azure
Microsoft Partner of the Year
See if you qualify for project funding or connect with us today.
Rewrite legacy applications or build new cloud-native products to reduce technical debt and build new revenue streams.Learn more