AI-Powered Data Insights and Accessibility: Case Studies
Getting insights from data using AI
This is a reference artitle for my main article: Responsibly adopting AI to unlock the value in your data
The recent explosion of artificial intelligence (AI) technologies has transformed how organisations across industries access and utilise data. AI's unprecedented ability to synthesise vast datasets into actionable insights has empowered businesses to enhance decision-making, streamline operations, and dramatically improve user experiences. Let's explore several recent case studies demonstrating how AI has become pivotal in unlocking data’s full potential.
Finance: Morgan Stanley’s Intelligent Assistants
Morgan Stanley has adopted AI to empower their financial advisers and researchers through intelligent digital assistants, including their AI @ MS Assistant and AskResearchGPT. Leveraging GPT-4 via Azure OpenAI, advisers can instantly retrieve summarised insights from over 70,000 internal research documents. Advisers can now access deep, context-rich insights in seconds rather than hours, enhancing productivity and enabling more informed client service.
Fintech: Intuit’s Generative AI for Small Businesses
Intuit has revolutionised financial management for small businesses with its "Intuit Assist" generative AI, integrated within QuickBooks. This AI-driven solution automates routine financial tasks such as invoice generation and overdue payment reminders. Businesses utilising this tool saw overdue invoices paid 45% faster and experienced a 10% increase in payments made in full, significantly enhancing cash flow and operational efficiency.
Healthcare: Mayo Clinic’s Clinical Knowledge AI
In collaboration with Google Cloud, Mayo Clinic introduced a generative AI-powered search tool designed to help clinicians rapidly access and interpret extensive medical records. Utilising Google’s medical-domain-specific large language models (LLMs), clinicians can conversationally query complex patient histories, imaging results, and genomics data, significantly reducing administrative burdens and enabling quicker, more informed clinical decisions.
Retail: Instacart’s Conversational AI Assistant
Instacart introduced "Ask Instacart," a GPT-powered conversational AI integrated into its shopping platform. This tool allows users to ask natural language questions, receiving personalised grocery and recipe suggestions in real-time. By intelligently tapping into Instacart’s extensive product catalogue and user preferences, Ask Instacart significantly improves the user shopping experience, encourages product discovery, and enhances customer engagement.
Manufacturing: Siemens’ Industrial AI Copilot
Siemens, in partnership with Microsoft, created the Siemens Industrial Copilot, an AI-powered assistant for industrial automation and engineering. Using Azure OpenAI’s GPT-4, engineers can quickly generate complex automation code and resolve technical issues instantly. At thyssenkrupp Automation Engineering, one of Siemens’ early adopters, engineers reported dramatically reduced downtime, accelerated productivity, and greater operational efficiency due to the Copilot’s instant, expert-level support.
Conclusion
These diverse examples from finance, healthcare, retail, fintech, and manufacturing highlight a common, transformative trend: businesses across industries are successfully using AI to turn previously inaccessible or complex data into clear, actionable insights. Organisations that leverage AI-powered tools experience measurable improvements in productivity, decision-making, and customer satisfaction.