Unlocking IoT Potential: Strategic Approaches to Sensors and Communication
Date: Thursday, October 10 2024
Time: 10:00 PM (PST)
Location: Virtual
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From Business Intent to Optimized Solutions with Microsoft OptiMind
Duration
60 Min
Preferred Date
- 12-Mar-2026
PREFERRED LOCATION
Virtual
Time
12:00 PM PST
Register Here
About the Workshop
This workshop explores a new paradigm in applied AI: using natural language as an interface to formal optimization systems. Participants will learn how Microsoft OptiMind translates real-world planning intent into mathematically precise optimization models, dramatically reducing the traditional barrier of model formulation.
Rather than focusing on conversational AI or predictive analytics, the workshop centers on optimization as infrastructure—showing how language models can act as compilers that convert human objectives, constraints, and trade-offs into solver-ready mathematical programs.
Through real-world examples across supply chains, manufacturing, workforce scheduling, and finance, attendees will gain a practical understanding of how this “quiet revolution” changes how organizations design and deploy optimization solutions Optimind Article.
Workshop Objectives
By the end of this workshop, participants will be able to:
- Understand why problem formulation, not computation, is the primary bottleneck in optimization today Optimind Article
- Explain how OptiMind differs from general-purpose language models in handling formal mathematical structures
- Identify optimization opportunities in their own domain that are well-suited to natural language model formulation
- Translate informal business or operational goals into structured optimization components:
- Decision variables
- Constraints
- Objective functions
- Evaluate the benefits and limitations of language-driven optimization workflows
- Apply a repeatable framework for moving from intent → model → solver
Who Should Attend
Operations & Supply Chain Leaders
Data Scientists & AI Practitioners
Domain Experts & Business Analysts
Corporate Strategy & Finance Managers
Why You Should Attend
Learn how organizations achieve the highest on first-year return by optimizing existing resources.
Move from months of manual model formulation to solver-ready code in hours.
Discover strategies to slash transportation, inventory carrying, and overtime costs.
Give your operations teams the power to build models without needing specialized coding skills.
Transition from rigid spreadsheets to rapid scenario testing and data-driven iteration.
Key Takeaways
A 3-step repeatable process for turning business ideas into mathematical solutions.
Mastery in identifying decision variables, constraints, and objective functions from natural language.
A decision-first view of supply chain transformation
Understanding why "Optimization as Infrastructure" outperforms general-purpose chat AI for precision.
A 5-step pilot guide to move from identifying a use case to production monitoring.
Agenda
- Why optimization already works — and why it’s still underused
- The real cost of manual model formulation
- Case examples of where optimization stalls in practice Optimind Article
- OptiMind as a “compiler” from language to mathematics
- Inputs: natural language planning intent
- Outputs: variables, constraints, objectives, solver code
- What OptiMind does not do (and why that matters) Optimind Article
Interactive discussion of real scenarios:
- Supply chain and logistics planning
- Production and manufacturing scheduling
- Workforce and shift optimization
- Transportation and routing
- Portfolio and resource allocation
Focus: What the human says vs. what the solver needs
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