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Please join us for an exclusive ELEVATED webcast, Leading AI Teams.
With the robust growth of generative AI, industries are experiencing an accelerated transformation. From improving productivity, to harnessing a new digital framework where AI enhances human skills, industry leaders are wondering how best to navigate the GenAI world.
Leading teams who build AI:
How do AI teams operate in 2025 and what should companies anticipate as hurdles to AI adoption in their organization? How do leaders navigate the adoption of new tools and manage AI products?
We discuss:
- How to appropriately staff AI projects and how this differs from traditional machine learning and data science projects
- How GenAI can be applied in project management to maximize project efficiency
- Building versus buying in a market awash in GenAI solutions
In our April 15 ELEVATED session, guest Jodi Blomberg, a senior leader for AI/ML at Cox Automotive, talks with Caltech CTME’s host Nicholas Beaudoin. Together they'll explore important points to consider as project managers meet leadership requirements to build AI platforms.
Bio
Jodi Blomberg
As the Senior Leader for AI/ML across the Cox Automotive family, Jodi oversees a diverse team of Product Managers, Engineers, and AI/ML experts, working collaboratively to shape the future of automotive technology. Her teams manage a portfolio of AI and ML initiatives spanning early-stage research, proofs of concept, and full product delivery. In addition, her responsibilities include managing the visual intelligence division, solving complex visual problems with innovative 3D computer vision technologies and artificial intelligence. In addition to technical leadership, Jodi' responsibilities include budget planning, resource allocation, and strategic partnerships to ensure the success and scalability of AI initiatives. Jodi's focus is on delivering impactful solutions that not only push the boundaries of what's possible but also create tangible value for business and their customers. ♦
As Caltech CTME's Director and AI/ML Instructor, Nicholas Beaudoin intersects strategic program development with hands-on curriculum design, positioning AI/ML education programs at the forefront of technological transformation. Leading the AI programs at Caltech's Center for Technology & Management Education, Nicholas' focus is on delivering impactful learning experiences tailored to a diverse clientele, including private and public sectors, as well as government and non-profit organizations.
