Leveraging AMPL, Python, and AI to Democratize Creation of Decision Optimization Applications

Optimization is critical to the successful use of analytics in enterprises of all kinds. In this presentation, you'll learn how you can create and deploy successful decision optimization applications, rapidly and reliably -- by connecting AMPL's powerful and intuitive modeling tools to Python's extensive development ecosystem, and to the impressive code-writing abilities of AI. AMPL also reduces the modeling barrier substantially, through automated reformulations that enable a consistent interface to all of the most widely used solver packages. By breaking down a complex process into manageable steps, our approach is accessible to domain experts and software developers of varied skill levels and backgrounds.

Speakers: Bob Fourer, President & Co-Founder and Filipe Brandão, Head of Development

Key Takeaways:

- Learn how to leverage ChatGPT to generate ideas, build models, and write code effortlessly.

- Understand the advantages of using AMPL for clean, easy-to-learn syntax that facilitates communication and collaboration.

- Explore practical demonstrations on Google Colab and Streamlit for model creation, visualization, and stakeholder collaboration.

For more information, please visit: https://info.informs.org/sponsored-webinar-series

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