Smarter Underwriting Decisions in a Soft Market
Decision Intelligence helps insurers move beyond reactive underwriting by enriching, triaging and prioritising submissions from the moment they arrive.
Q Digest
Customer Intelligence
Trends, insights, and practical guidance on how trusted data and AI shape decision-making.
Customer Intelligence
How Decision Intelligence Will Shape the Future of Customer Analytics
Customer analytics is about anticipating what’s next and acting on it. As data grows more complex, analytics professionals need platforms that decide, adapt, and learn. The way to achieve this is through decision intelligence.
Seamless Wealth Across Borders: How Banks Can Know Their Customers Everywhere
Wealth is more mobile than ever, but banks struggle with fragmented data and rising client expectations. Learn how Customer 360 and AI can help deliver seamless cross-border experiences and capture growth in global wealth management.
Creating Competitive Advantage from Your Bank’s Data Chaos
Banks that successfully harness their data—by organizing, contextualizing, and activating it—can unlock powerful AI-driven insights, streamline operations, and deliver superior customer experiences.
The Hidden OpEx Crisis: The High Cost of Low-Quality Customer Insights in Telco
The telecommunications industry is facing a silent crisis as hidden operational expenses drain resources and stifle growth.
Using AI to Get High-Risk Populations the Help they Need
Quantexa stands out from other AI solutions for identifying at-risk populations
AI in Corporate Banking: Transforming Relationship Management
Relationship managers are critical to Corporate Banking , but they are facing increasing complexity from large volumes of client data, evolving market conditions, demands for personalized services. AI can help them address these challenges.
How to Harness Decision Intelligence for Smarter Commercial Underwriting
In insurance, commercial underwriting has long relied on fragmented, siloed data. However, with the field's growing complexity, this approach no longer suffices. To stay competitive, insurers must embrace smarter, faster underwriting decisions and decision intelligence.
5 Best Practices for AI in Financial Services
How can financial services organizations ensure that AI projects move beyond prototype into production, and generate enterprise value?
