Paige Bailey

Paige Bailey

DevRel Lead, GenAI at Google

    Paige Bailey is the engineering lead for GenAI Developer Experience at Google. Paige has a deep understanding of the generative AI landscape, having previously served as an applied machine learning engineer at Microsoft and GitHub, and a product lead for Google's PaLM v2 and Gemini models. Paige is passionate about making cutting-edge AI technology accessible, and empowering developers to build the next generation of innovative applications.

    All Sessions by Paige Bailey

    West Talks 07/23/2024

    Data Science in the Age of Generative AI

    <span class="etn-schedule-location"> <span class="firstfocus">Generative AI</span> <span class="secfocus">All Levels</span> </span>

    Generative AI, fueled by powerful models like Gemini, Claude, and GPT-4, is rapidly transforming the data landscape. This talk explores the profound impact of this shift on the role of data scientists and machine learning engineers. We'll discuss how generative AI empowers data scientists with new tools for: * **Data Augmentation and Synthetic Data Generation:** Overcome data scarcity and generate realistic datasets for diverse tasks. * **Automated Feature Engineering and Data Preprocessing:** Simplify complex data pipelines and streamline model development. * **Data Visualization and Exploration:** Gain deeper insights through AI-driven data exploration and visualization. * **Automated Model Building and Optimization:** Leverage AI to rapidly prototype and optimize models for various tasks. * **Explainability and Interpretability:** Decipher the """"black box"""" of AI models and build trust in their predictions. By the end of this session, attendees will understand the transformative potential of Generative AI in data science and gain practical insights into leveraging these new tools for enhanced efficiency, creativity, and impact.

    Open Data Science




    Open Data Science
    One Broadway
    Cambridge, MA 02142

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