AI-1159 - USA (Texas) - Artificial Intelligence And Total Cloud Solutions - Deadline July 31,2026

(1) Vendor needs to provide artificial intelligence and total cloud solutions to the government authority located in Texas.• Artificial Intelligence (AI) Readiness, Implementation, and Support Services, as well as Total Cloud Solutions encompassing public, private, hybrid, and community cloud deployments, that can be leveraged by public sector organizations nationwide through a cooperative purchasing vehicle.• Solutions must be custom, scalable, and flexible –– pre–built or off–the–shelf AI technology–only offerings that lack a professional services wrapper are not responsive to this solicitation.• Machine Learning (ML) and Predictive Analytics: Systems that learn statistical patterns from historical data to generate predictions, classifications, anomaly scores, or recommendations without explicit rule programming• Natural Language Processing (NLP) and Large Language Models (LLMs): AI systems capable of producing netnew content including text, images, code, audio, video, or synthetic data by learning patterns from large training datasets. Includes LLM–based chat, retrieval–augmented generation (RAG), and multimodal models.• Conversational AI & Virtual Agents: AI–powered interfaces enabling natural dialogue between humans and systems via text or voice.• chatbots, intelligent virtual assistants (IVAs), voice–enabled interfaces, and omnichannel self–service platforms.• Intelligent Automation (AI–Augmented RPA)L: • Robotic Process Automation enhanced with AI capabilities such as NLP, ML, and computer vision to process unstructured data and handle dynamic decision branches beyond traditional rule–based automation.• Integration of AI and machine learning with geospatial data platforms to enable predictive spatial modeling, automated feature extraction from imagery, and real–time situational awareness• Cloud–delivered software applications in which the provider manages the underlying infrastructure, platform, and application stack.• Users access software via a web browser or thin client, typically under a subscription model