Appian Data Fabric use case
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Asset Management

Appian Data Fabric provides a unified data environment, while integration with Power Platform enables leveraging Microsoft tools like Power BI and Power Apps. Key opportunities include:

  • Ingest portfolio data, market data, financials, news, and other sources into the Data Fabric. Expose data entities to Power BI for analytics.
  • Build AI models with Azure Machine Learning that utilise the aggregated data in the Data Fabric to optimise portfolios and predict market risks. Output insights to Power BI.
  • Create Power Apps that portfolio managers can use on mobile to access Data Fabric-powered client profiles, AI-driven alerts, and trading capabilities.
  • Use Power Automate to integrate workflows between Appian, the Data Fabric, Office 365, and other systems like CRM software.
  • Implement a chatbot with Power Virtual Agents to access client data from the Data Fabric and Microsoft tools like Teams.
  • Apply Azure Cognitive Services for capabilities like natural language processing, computer vision, and anomaly detection on Data Fabric datasets.
  • Leverage Power BI visualisations and dashboards to provide insights to client service teams from CRM data integrated through the Data Fabric.
  • Use Power Platform gateway for on-premises data connectivity to the Data Fabric from internal sources like trading systems.

The combined power of Appian, the Data Fabric, AI, and Power Platform provides a robust low-code solution for unifying data, deriving insights, and rapidly delivering intelligent applications to employees and clients. The integration helps drive better portfolio management, client service, efficiency, and risk management.

Healthcare

Appian Data Fabric provides unified patient data, while Power Platform enables leveraging Microsoft tools like Power BI and Power Apps for insights and delivery. Key opportunities include:

  • Ingest patient records, claims, clinical research data and more into the Data Fabric. Expose data to Power BI for analytics and visualisations.
  • Develop risk prediction models with Azure Machine Learning that utilise patient data from the Data Fabric to identify individuals requiring intervention. Present insights in Power BI.
  • Create Power Apps that nurses can use on mobile to access patient profiles, AI-assisted care recommendations, and coordination workflows powered by the Data Fabric.
  • Implement chatbots with Power Virtual Agents integrated with patient data from the Data Fabric to provide self-service and automated triage capabilities.
  • Incorporate Azure Cognitive Services like computer vision and natural language processing to extract insights from scans, notes, and other unstructured data in the Data Fabric.
  • Use Power Automate to integrate workflows between Appian, the Data Fabric, Office 365, and other health systems like EHRs.
  • Apply Power BI visualizations to claims data integrated through the Data Fabric to detect fraud patterns and billing errors.
  • Leverage Power Platform gateway for on-premises data connectivity to the Data Fabric from sources like medical devices.

The combined capabilities of Appian, the Data Fabric, AI, and Power Platform provide an integrated environment to gain data-driven insights and rapidly deliver intelligent applications for improved patient outcomes.

Online Sports Betting

Appian Data Fabric provides the ability to integrate betting data, sports data, and customer data into a unified view for AI models to derive insights from. Key opportunities include:

  • Ingest historical betting trends, odds, game results, injury reports, and customer data into the Data Fabric to power AI algorithms.
  • Apply predictive analytics on the aggregated data to model likely betting outcomes more accurately and optimize odds setting.
  • Implement NLP techniques on news, social media, etc in the Data Fabric to automatically adjust odds based on emerging information.
  • Use reinforcement learning algorithms leveraging betting data in the Data Fabric to optimize rewards programs and promotional offers.
  • Analyze customer data integrated in the Data Fabric with churn prediction models to improve customer retention.
  • Detect patterns of suspicious betting activity that differ from norms by applying AI anomaly detection to data in the Data Fabric.
  • Create personalized betting recommendations and notifications for customers using AI guidance applied to their integrated records in the Data Fabric.
  • Implement AI chatbots powered by customer data from the Data Fabric to provide support and recommendations.

The low-code Appian platform allows quickly building interfaces like mobile apps and back-end workflows enhanced by AI insights from the Data Fabric data.

Overall, the combined power of the Data Fabric and AI can help online gambling platforms leverage data-driven insights to improve odds accuracy, detect fraud earlier, retain customers, and personalize promotions more intelligently.

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