Power BI
5 use cases using this technology
ABN AMRO Bank migrates its Anna and Abby chatbots to Microsoft Copilot Studio, increasing Dutch intent-recognition accuracy by 7%
ABN AMRO Bank
ABN AMRO Bank, one of the largest banks in the Netherlands, migrated its customer chatbot Anna and internal employee chatbot Abby to Microsoft Copilot Studio in a six-month project delivered with Microsoft and Capgemini. The new agents use Azure AI Language conversational language understanding (CLU) for intent recognition and entity extraction, with Azure Communication Services handling voice and Azure middleware relaying messages. The Anna agent now handles more than 2 million text conversations and 1.5 million voice conversations with customers every year, covering tasks like unblocking a debit card or changing an ATM withdrawal limit, while Abby supports employees with IT helpdesk and facilities requests. By integrating Azure AI Language CLU with Copilot Studio, ABN AMRO increased its intent-recognition accuracy rate for Dutch by 7%, reduced drop-off and transfer rates, and significantly cut operational and maintenance costs.
Epiroc uses Azure Machine Learning to predict steel quality and cut customer returns by 30 percent
Epiroc
Swedish equipment manufacturer Epiroc built an ESML AI Factory on Microsoft Azure Machine Learning and Azure Data Factory to create machine learning models for its steel heat-treatment process, predicting steel density, hardness and flexibility for rock drilling tools under various conditions. Epiroc reports the predictive models reduced customer rejections and product returns by 30 percent, and the company now runs eleven analytical teams' use cases in the shared AI factory.
Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production
Plenitude
Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.
Novo Nordisk builds AI drug discovery platform on Azure with Microsoft Research
Novo Nordisk
Novo Nordisk partnered with Microsoft Research to build an AI platform on Azure AI and data stacks spanning regulatory affairs, early research, drug discovery and trial design, using Azure OpenAI Service, Azure Cosmos DB and Azure Kubernetes Service, with Power BI and Power Apps for collaboration. The platform includes a copilot for researchers, shared reasoning-chain templates, and governance/auditing of how data and models are used. The teams published early results on predictive AI models for cardiovascular disease risk detection, including an algorithm that Novo Nordisk says predicts patients' cardiovascular risk better than the best clinical standards, drawing on more than 100 years of insulin research data.
Building the foundation for the 5G revolution: Digital Nasional Berhad
Digital Nasional Berhad
Digital Nasional Berhad (DNB), Malaysia's government-established 5G network operator, used the Databricks Data + AI Platform to build a cost-effective, high-performance data platform to process 5G network data at scale, achieving 82%+ populated-area coverage in two years. Using Delta Lake with a medallion (Bronze/Silver/Gold) architecture, Databricks Workflows for pipeline orchestration, serverless compute, Notebooks for team collaboration, Unity Catalog for governance, and MLflow for ML lifecycle management, DNB achieved 70% cost optimization and a 60-70% increase in data pipeline performance, and has begun building AI-powered chatbots giving network engineers real-time access to performance insights with geospatial visualizations.