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Track 3 of the 2-day conference program for Machine Learning Week showcases a range of cross-industry case studies broadly applicable to deployment challenges you and your team are likely to face. From non-profits to dentistry to Industry 4.0. Here's a selection of some of the sessions in this track:
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Beyond Code Generation – Applying Generative AI for Codebase Enhancement
Together with Karl, explore a variety of applications from generating architecture diagrams, identifying code quality issues, implementing minor features, and even generating documentation. You’ll learn about useful prompting techniques and integrations with the responses. Leave this session understanding how to apply Generative AI to help you build better software faster, even with an existing codebase.
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Generative AI applications in Manufacturing Industry
Having working on the plant floor himself, Aniket can co-relate well OT-IT integration, which in turn helps him connect well with the M&I community. Despite substantial progress, a dramatic transformation is still ongoing as Generative AI reaches its full potential in the manufacturing sector. Generative AI in manufacturing automates and improves operations, from rapid product design to advanced predictive maintenance and supply chain optimization, allowing for strategic decision-making at all stages.
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AI for the Greater Good: Aligning Technology with Nonprofit Values
In this session, Nathan will show how nonprofits are harnessing the power of AI to serve missions rooted in social benefit, rather than profit. Discover the frameworks and ethical guidelines these organizations are developing to align AI innovations with core values like equity, transparency, and compassion. He’ll discuss the unique challenges nonprofits face in balancing innovation with integrity, sharing examples of how AI can amplify impact without compromising mission-driven goals. This session invites participants to learn how nonprofits set a gold standard in AI ethics, creating models that not only meet but elevate the values underpinning their work for the greater good.
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Predicting Patient No-Shows: Evaluating the Effectiveness of No-Show Models in Dentistry
In the world of healthcare, operational efficiency and patient care often hinge on accurate predictions of patient behavior. This session delves into the development and evaluation of a “No Show Model” designed to predict whether a patient will attend their dental appointment. Henry Castellanos, Director of Data Science at Risas Dental and Braces, will share insights into the modeling process, focusing on the rigorous analysis conducted to determine the real value to patients and the organization overall in deploying existing models.
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Join the conference and witness how practitioners apply machine learning at leading enterprises, such as:
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MLW25: Generative AI, Predictive AI, and How They Work Together
Enjoy top-tier keynotes, workshops, and sessions at MLW, covering the commercial deployment and optimization of machine learning.
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