USING AI & MACHINE LEARNING
IN THE ENTERPRISE
San Francisco + On-Demand | November 7, 2024
Jodi Blomberg
VP Data Science, Cox Automotive
Jodi Blomberg leads the enterprise data science and machine learning teams that integrate models into applications across the Cox Automotive family of companies. She was previously the Head of Data Science at Charles Schwab and Waste Management. She is an experienced data science executive with wide track record in embedding NLP, GenAI, computer vision, machine learning, statistical models, and optimization into digital and physical products.
Watch in-person: November 7
AI for Automation: harder but more fun than you think
Most of the digital world has already incorporated AI/ML algorithms, websites and apps regularly feature chatbots, recommender engines, and an army of algorithms controlling every aspect of the user experience. In contrast, much of the work done with physical infrastructure and human-driven tasks is ripe for the AI automation revolution. However, the lessons learned on the digital world may not translate easily to optimizing processes and activities by putting technology in the hands of workers. AI/ML models “out in the wild” with humans interacting with them often don’t generalize as handily as models deployed into digital environments. The iterations and feedback loops are much higher than most software and product teams anticipate. In this talk, we’ll cover some of the challenges and strategies for mitigating the risks of automation out in the wild.