Predictive Ux
Information Technology And Services, 223 S West St, Raleigh, North Carolina, 27603, United States, 11-50 Employees
Phone Number: +19*********
Who is PREDICTIVE UX
Founded in 2016, Predictive UX is a data science company with a human-first approach to complex data systems. We are experts in designing and developing AI and data-rich enterprise softwa...
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- Headquarters: 223 S West St, Raleigh, North Carolina, 27603, United States
- Date Founded: 2016
- Employees: 11-50
- Revenue: $5 Million to $10 Million
- Active Tech Stack: See technologies
- CEO: Karen Passmore
Industry: Information Technology and Services
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Frequently Asked Questions Regarding Predictive UX
Answer: Predictive UX's headquarters are located at 223 S West St, Raleigh, North Carolina, 27603, United States
Answer: Predictive UX's phone number is +19*********
Answer: Predictive UX's official website is https://predictiveux.com
Answer: Predictive UX's revenue is $5 Million to $10 Million
Answer: Predictive UX has 11-50 employees
Answer: Predictive UX is in Information Technology and Services
Answer: Predictive UX contact info: Phone number: +19********* Website: https://predictiveux.com
Answer: Founded in 2016, Predictive UX is a data science company with a human-first approach to complex data systems. We are experts in designing and developing AI and data-rich enterprise software, knowledge and information systems, and SaaS products. We excel at product ideation, integrating data systems, designing complex workflows, and creating award-winning user experiences. Our goal is to design and build applications that positively impact the public while helping businesses innovate. We achieve this through user research and data-driven, ethical design of AI and data-rich applications. The results are clear, learnable, and valuable technologies designed to engage users, meet business objectives, and protect and advance the human experience. What we help clients achieve: - AI Readiness - Data and Knowledge Transformation - Product Strategy - Predictive AI - Generative AI - Knowledge Management Maturity - Knowledge Graph Implementations - KM and AI governance - Smart Automations - Systems Integration - Data Mesh Transformation - Creating SaaS Products - Fixing Poor Data Integrations - Fixing Bad UX - Analyzing and Organizing Disparate Content/Data - Data Modeling - Semantic Modeling / Ontologies - Taxonomy - Information architecture
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