The cloud imperative for insurers: Application modernization strategies to drive value

With the deluge of data dominating the insurance sector today, traditional insurance models are struggling to keep up with evolving customer needs and technological advancements. Enter embedded insurance—a game-changing approach that seamlessly integrates coverage into products and services at the...

User experience and customer interactions have become critical differentiators, driving a paradigm shift in the insurance industry. As business success is measured by the quality of customer experiences, insurers now have a chance to gain a competitive edge by delivering unparalleled service in thi...

Wealth management firms face a critical challenge: operational costs ranging between ¢35 and ¢50 per $1 of revenue are eroding profitability. Agentic AI in wealth management addresses this by autonomously managing trade lifecycles from order processing through settlement, identifying investment opp...

Agentic AI in financial services now touches fraud, AML, onboarding, investment suitability, and servicing. But with 76% of firms planning to implement agentic AI within the next year, the hard part is not the models themselves; it’s ensuring that the data, controls, and integration patterns with e...

Choosing the right agentic AI framework matters. Crew AI, Google ADK, LangGraph, and OpenAI Agents SDK each solve different problems, from rapid multi-agent prototyping to durable, stateful workflows and cloud-native enterprise agentic AI deployments.  This comprehensive white paper examine...

By Jason Bloomberg and Eric Newcomer, Intellyx Bitemporal data separates when something happened in your business from when your systems recorded it. For financial services firms managing regulatory reporting, audit requirements, and data quality challenges, this architectural approach provi...

As an enterprise leader, you’ve likely seen countless AI prototype demos over the last few years promising empty buzzwords like “transformation”, “efficiency”, and “competitive edge”. But how many of those prototypes actually work in production? Over the past decade, multiple AI hype cycles ha...