Optimization is more accessible than ever, driving revenue and profitability across industries. This presentation explores how advances in modeling, integration, and AI make optimization a core analytics tool. We showcase AMPL’s MP framework for intuitive problem formulation and its seamless integration with Python via amplpy for data handling and visualization. Through real-world cases in energy, transportation, supply chain, and finance, we demonstrate how generative AI accelerates development, enabling rapid deployment of powerful optimization solutions.
Speakers:
- Bob Fourer: President and Co-Founder, AMPL Optimization Inc.
- Filipe Brandão: Head of Development, AMPL Optimization Inc.
Key Takeaways:
- Learn how modern optimization drives efficiency in energy, transportation, supply chain, and finance.
- Discover AMPL’s intuitive MP framework and its seamless Python integration.
- Explore how AI, generative AI, and commercial solvers like Gurobi and CPLEX accelerate optimization.
- See how tools like Pandas, Streamlit, Jupyter Notebooks, and Google Colab enhance data handling and visualization.
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