ClearPath Insights LLC
Hong Gao currently serves as the Managing Director at ClearPath Insights LLC, leading data management and analytics initiatives to enhance business performance through strategic data development and advanced analytics. In addition, Hong holds positions as a Board Member at TechPoint and as a member of the Global Editorial Board for CDO Magazine, providing strategic oversight and content guidance in the fields of data and business analytics. Previous experience includes serving as Executive Director of Enterprise Data Management & Analytics at Indiana Farm Bureau Insurance, leading a successful cultural transformation towards data-driven decision-making, and managing the Indiana Medicaid Enterprise Data Warehouse project as Director of Systems and Informatics for the State of Indiana. Hong's educational background includes a Master of Science in Computer Science and a Master of Arts in Education from Ball State University, with ongoing studies at Carnegie Mellon University.
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ClearPath Insights LLC
ClearPath Insights – What we do Data Management and Analytics • Data Strategy Development: Developing comprehensive data strategies aligned with your company’s business goals to deliver robust approach for maximizing the value of your data. • Advanced Analytics and Insights: Delivering actionable insights through descriptive, diagnostic, and predictive analytics to enhance business performance and improve decision-making. • Data Governance and Quality: Establishing frameworks and policies to ensure data integrity, compliance, and security, enabling clients to trust and effectively use their data assets. AI Strategy Consulting • AI Roadmap and Strategic Planning: Developing tailored AI strategies and roadmaps that prioritize impactful use cases, technology selection, and scalability. • AI Readiness and Maturity Assessment: Assessing the client’s current AI maturity level and preparing a structured plan to advance capabilities. • Responsible AI and Ethical Frameworks: Guiding clients on best practices for ethical AI use, ensuring transparency, fairness, and compliance with regulatory standards. MLOps Consulting • Model Lifecycle Management: Implementing processes and tools for model development, deployment, monitoring, and retraining to ensure sustained model performance. • Infrastructure Optimization for AI/ML: Advising on the optimal infrastructure, tools, and platforms to support machine learning operations, including cloud and hybrid solutions. • Automated Pipelines and CI/CD for ML: Designing automated pipelines to streamline ML model deployment and improve operational efficiency, integrating CI/CD best practices specific to ML workflows. With these services, your firm is positioned to harness the full potential of data and AI, from strategic planning and operationalization to maintaining reliable, scalable AI and analytics solutions.