Structuring AI Oversight for Compliant and Efficient Operations
As our client's data science initiatives expanded across multiple teams, they faced a critical challenge: there was no centralized way to track and manage all data science and AI use cases throughout the organization. Management recognized this gap and requested a central inventory system for all data science use cases.
Scaling AI Risk Management without Slowing Innovation
Managing AI risks for Generative and Predictive AI
Transforming Healthcare Logistics with Time Series Forecasting
AI-Powered Healthcare Logistics: Predicting Platelet Demand
Enhancing logistics efficiency with advanced analytics
New service offerings through Data Quality automation
Enhancing Client Services with Data Products-as-a-Service
More Powerful & Flexible Client Services
Ensuring Transparency on the Quality of Third-party Data
Building a proactive Data Quality Framework
AI-powered access to your information
The impact of an Internal Chatbot on a Leading Advisory Firm
How can organizations keep a complete overview of their total CO2-emissions?
Leveraging Collibra for ESG CSRD Regulation Compliance
Introducing a data product approach in healthcare
Using Microsoft Azure and Microsoft Purview
Creating a Transformative Power BI Migration Strategy
From Scattered to Structured Data Landscape