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Enhancing Data Security and Search Efficiency for Federal Agencies with AI Solutions
U.S. federal agency – Wanted to see impact of AI Driven search within the agency. Search had to to be secure and scalable.
Needed to manage petabytes of documents with high-speed search, crucial for handling extensive data efficiently.
Role-Based Access Control (RBAC) is required to protect sensitive information and meet stringent federal security standards.
Implemented advanced AI for contextual and generative search functionalities to enhance user experience and efficiency.
Ensured the platform adhered to federal data handling and security regulations, safeguarding sensitive information.
In today’s fast-paced digital landscape, businesses are constantly seeking ways to enhance their content strategies.
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Designed a secure, scalable solution on Azure, integrating Mistral for efficient AI model and data management to improve system performance.
Developed Retrieval-Augmented Generation (RAG) to improve search accuracy and speed, optimizing user experience.
Integrated proprietary technology for efficient document crawling and embedding, streamlining data management.
Enabled rapid processing of large volumes of documents, crucial for federal operations.
Ensured data protection and compliance with federal standards through RBAC
Improved search accuracy and speed, boosting productivity and efficiency.
Consistent Quality: Ensured high-quality content with fewer revisions, improving efficiency and client satisfaction.
Cut onboarding time by 50%, making it quicker for employees to access necessary documents
Reduced the time needed to respond to requests for proposals (RFPs) by 40%, improving the speed and quality of bid submissions.
Lowered equipment downtime by 30% by providing faster access to maintenance information.
– Chief Information Officer, Major Federal IT Services Provider
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