Will Griffith
About Will Griffith
Will Griffith is a Senior Technical Account Manager at Tecton, with a strong background in AI and machine learning. He has held various roles in the tech industry, including positions at DataRobot, Teradata, and Algorithmia, focusing on enterprise information architecture and AI adoption strategies.
Work at Tecton
Will Griffith currently serves as a Senior Technical Account Manager at Tecton, a position he has held since 2023. In this role, he focuses on providing technical guidance and support to clients, ensuring the successful implementation and utilization of Tecton's solutions. His responsibilities include fostering customer relationships and facilitating the adoption of machine learning practices within enterprises.
Previous Experience at DataRobot
Will Griffith worked at DataRobot in various capacities, including Director of AI Success from 2021 to 2022 and Director of Strategic Accounts from 2022 to 2023. During his tenure, he contributed to the development of strategies aimed at enhancing AI adoption among clients. His roles involved working closely with customers to ensure they achieved their AI objectives and derived value from DataRobot's offerings.
Background in Teradata
Griffith's experience at Teradata spans a decade, where he held positions as a Senior Industry Solutions Consultant from 2006 to 2016 and as a Principal AI Solutions Consultant from 2016 to 2019. His work involved consulting on industry-specific solutions and AI strategies, contributing to the operational scale-out of data architecture in enterprise environments.
Education and Expertise
Will Griffith earned a Bachelor of Science (B.S.) degree from Bates College. He possesses expertise in enterprise information and data architecture, particularly in the context of AI and machine learning deployment. His knowledge extends to collaborative solution selling and business development, emphasizing the delivery of data to machine learning models.
Achievements in AI and Machine Learning
Griffith has a proven track record of driving transformative business outcomes across various sectors, including marketing, customer experience, digital transformation, operations, fraud, and risk management. He specializes in using open-source frameworks and tools for AI and deep learning, focusing on defining, extracting, and serving features for machine learning models during both inference and training times.