LLMs and Low-Hanging Fruit: Finding GenAI Value Fast

Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He is the host of the industry Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He h

Nathan is an experienced software engineering leader with a broad background spanning web development, SaaS, public cloud infrastructure, and data and insights platforms. He has deep expertise in building and leading remote engineering teams, covering everything from HR and finance to risk, product management, and implementing agile practices in a way that’s both effective and developer-friendly.

Before the pandemic, Nathan was a key figure in the PyData community—serving as the lead organizer of PyData Los Angeles, running local Python/PyData meetups, and contributing to PyCon programming. He’s also contributed to open source projects in the PyData ecosystem, including scikit-yb (for visualizing scikit-learn workflows) and Dask.

These days, Nathan is operating with an AI-first mindset—using