6:30 p.m. Networking
6:45 p.m. Business Mtg/Announcements
7:00 p.m. Technical Presentation
Abstract: The presentation of the functional requirements for machine learning in TCM serves as a foundational guide for organizations seeking to integrate artificial intelligence (AI) and ML models into their business operations. The presentation guides the audience through the deployment steps based on the defined functional requirements for ML modeling. This structured approach paves the way for the integration of sophisticated technologies for data-driven results. With this said, the key points covered in this presentation include:
Data-driven content for quality, accuracy, and completeness, focusing on data understanding and data types (structured, semi-structured, unstructured).
Defining structural frameworks like data ontologies, layering, knowledge graphs, and feature engineering for categorizing data entities.
Establishing a machine learning life cycle and mining process for consistent data analysis in predictive and prescriptive.
Identifying problems, framing use cases, and creating analytical models for different machine learning strategies. Learn how to recognize the attributes of machine learning and prepare datasets for modeling.
By establishing functional requirements and data modeling for AI/ML, individuals can enhance the utilization of data within their respective projects as strategic assets. These steps within the presentation enable individuals to improve data quality, accuracy, and completeness while also structuring data frameworks and implementing an ML life cycle. Additionally, individuals can identify problems, frame use cases, and develop analytical models tailored to their specific business objectives.
Speaker:
H.L. (Lance) Stephenson CET, CCP, FAACE, PMP, MRICS
Director of Operations, PD&C