Part 3: Design Vertical Solutions 🚀
Collaborate with Azure to craft tailored MVPs that address industry-specific challenges. Build impactful solutions designed for today’s needs while setting the stage for future growth, scalability, and success. Your innovation starts here.
FINTECH Use-cases 💰
Financial Market Simulation with TinyTroupe 💹
AI-powered Hedge Fund with AutoGen
Optimising structured investments with CausalML and LLMs
EconML is a Python library from MS Research for causal ML. We will build an optimisation tool combining EconML with gpt-4o.
Synthetic Data Generation with OrcaAgentInstruct
Orca-AgentInstruct is an agentic solution for synthetic-data generation from Microsoft Research. By leveraging an agentic framework, AgentInstruct can generate tailored datasets, comprising both prompts and responses, from raw data sources, paving the way to building a synthetic data factory for model fine-tuning.
E-Commerce Use-cases
Recommender Systems with multimodal RAG for e-commerce
Traditional search methods often limit customers to finding products through text-based product descriptions.Embed3 transforms this search experience. Retailers can build applications which search product images in addition to text descriptions, creating a differentiated experience for shoppers and improving conversion rates.
Demand forecasting with TimeGen
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Healthcare Use-cases
Drug Design with TamGen
Harness the power of TamGen, an open-source transformer-based model, to implement advanced generative AI techniques in drug discovery. TamGen designs target-specific compounds, optimizes existing molecules, and enables faster, more precise exploration of treatments for diseases like tuberculosis.
Medical Diagnosis with Medical Knowledge Graphs & Ontologies
By integrating medical ontologies with AI models, healthcare providers can achieve faster, more reliable, and context-aware diagnoses to support better patient outcomes.