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Overview:
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.
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.
Who Should Attend:
- Industry professionals seeking to enhance their optimization skills.
- Students aiming to break into the tech industry amidst limited junior hires.
- Educators interested in integrating cutting-edge tools into their curriculum.
Tools and Resources Highlighted:
- AMPL: Experience the ease of a specialized optimization language.
- ChatGPT: Simplify model building and coding.
- Google Colab: Collaborate on pre-built models.
- Streamlit: Visualize models and make informed decisions.
Speakers
- Filipe Brandão: Head of Development, AMPL Optimization Inc.
- Bob Fourer: President and Co-Founder of AMPL Optimization Inc.