Azure Accelerators
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SouthReusableAssets
Public templateIP and use case assets for CSU- Virtual Assistant - GPT Smart Search Engine - Bot Framework + Azure OpenAI + Azure AI Search + Azure SQL + Bing API + Azure Document Intelligence + LangChain + CosmosDB
- The Conversational Azure OpenAI (ChatGPT) Accelerator, from Microsoft partner Zammo.ai, uses OpenAI to improve customer experience by automating conversations and summarizations. This leverages Azure AI services, deploys to voice and text channels, and saves customers time creating UI, conversational flows, and API integrations.
- Static site for MSUS Solution Accelerators GitHub.
- The Supply Chain Management Accelerator leverages deep learning forecasts, Azure Machine Learning and distributed computing with a Ray Cluster, to simulate an inventory optimization problem using synthetic data. It allows you to also run other simulations, using a PowerApps user-interface connected directly to the Azure Kubernetes Instance running
- The Workplace Intelligence Accelerator leverages machine learning and big data analytics to combine and transform data, allowing customer to easily identify factors that influence how people work in their organization.
- Predictive analytics and machine learning is used in the Risk Classification and Loan Modeling accelerator to estimate the optimal loan size that the SBA will approve for a given applicant which enables lending partners to process loan applications and make data-driven lending decisions quickly.
- Automate call transcriptions for real-time and previously recorded calls by using custom speech models, text analytics, and industry-specific natural language processing with the Microsoft Call Center Intelligence Accelerator.
- Microsoft Insurance Claims Automation, powered by AI, handles claim processing through an intelligent agent with cognitive skills to handle image, ID, and documents with the goal to reduce claims processing time and manual effort in end-to-end claims processing for better customer experience.
- Microsoft, with partners MediaKind, Evertz Microsystems, and Lumen created Digital Experience Solution Accelerator that allows you to streamline end-to-end managed service for live events to deliver rich analytics for event measurement and feedback in a secure environment.
- Showcase Azure platform’s machine learning capability to recognize document type, extract required fields and push data to downstream applications, significantly reducing manual efforts and creating smoother customer experience. with the Microsoft Intelligent Document Processing (Document Process Automation) Accelerator.
- The Smart Spaces Accelerator can help you optimize your HVAC systems with smarter, more responsive, data-driven energy management. It integrates a variety of data, like historic and forecasted weather conditions, with your existing building management system (BMS) to provide reports and recommendations on energy use.
Streaming-Inference-AML
Public- Azure Data Explorer can provide valuable insights into your IoT workloads. The ADX IoT Analytics Accelerator demo here looks at thermostat IoT Devices that are in 3 different office buildings.
- Digital Twins Definition Language (DTDL) based ontology for Energy Grid. This is an energy grid ontology adapted from Common Information Model (CIM) which provides contextual understanding of data by identifying the properties of various grid entities and the relationships among them.
- The Traffic Monitoring Accelerator will enable state DOT/City to deliver geospatial visualizations of road network performance and demand, travel time delay, as well as non-recurring congestion events. The ability to record, analyze, and dispatch crew for pavement repair, and other hazardous conditions.
- The Near Real-time Fraud and Compliance Analytics Accelerator simplifies the fraud detection and reporting process, cutting down the time to action to prevent fraud as well as enables near real-time dashboards and analytics for streaming data.
- Calculating dosage risk doesn’t have to be a gamble to combat increasing drug dependencies (i.e., opioid), patient health monitoring costs, and strained supply chains. Microsoft has created an Overdose Prevention Acceleratore that can scale to provide predictive analytics for different prescription and distribution services.