Data as a Service
4 Uses for Text-Based Data that Turns Insurance Market Intelligence into Valuable Insights that Enhance Decisions Across Your Business
A McKinsey article on use of AI in the nsurance industry calls data and analytics capabilities “table stakes” in the sector in Europe and North America. The article notes that “External data are the ‘fuel’ that is unlocking the value of artificial intelligence.” What types of text-based data can help you derive actionable insights? Current and historical news data and social commentary Market and industry data ...
4 Reasons for Integrating Third-Party Data in Financial Services Risk Management Workflows
Recent volatility in the financial services sector only reinforces how interconnected and complex global markets have become. Geopolitical and economic uncertainty, coupled with expanding regulation, makes navigating the turbulence even more challenging. Global consultancy EY notes that “Data has an increasingly important role within financial crime risk management.” To get ahead of the curve, financial institutions increasingly...
Everything to Know About Generative AI in Media Production
If you’ve logged onto the internet in 2023, you’ve probably heard about AI advancements. From appealing AI filters on social media to the March 14, 2023 release of GPT-4, artificial intelligence (AI) has become all the rage, and that’s not likely to end anytime soon. But what does AI have to do with film and media production? Generative AI, a category of intelligence that creates content like text and imagery, could...
The Unseen Cost of Low-Quality Internal & Third- Party Data in Decision Intelligence
In the quest to achieve unrivaled business growth, organizations show increasing interest in Decision Intelligence (DI). Whether you use DI to augment, recommend, or automate decisions, the effectiveness of your DI endeavors heavily depends on the quality of data that powers it. As financial services and global businesses alike expand the use of DI, weeding out poor quality—within both internal and alternative data—isn...