Systems | Development | Analytics | API | Testing

How Thrivent Uses Real-Time Data for AI-Driven Fraud Detection

Oct 21, 2024 By Confluent In Confluent
In today’s fast-paced financial services landscape, customers have a shorter attention span than ever. To meet clients’ growing demands for real-time access to information and keep innovating in areas like fraud detection and personalized financial advice, Thrivent needed to overhaul its data infrastructure. With data scattered across siloed legacy systems, diverse tech stacks, and multiple cloud environments, the challenge was a bit daunting. But by adopting Confluent Cloud, Thrivent was able to unify its disparate data systems into a single source of truth.
View Video

Fail Fast, Build Better

Oct 21, 2024 By Sauce Labs In Sauce Labs
Is it better to launch fast or wait for perfection? @Saurabh Shanbhag explains the "fail fast" strategy, where teams quickly release imperfect products to get real customer feedback and improve. Instead of taking years to perfect, they launch in months, see what works, and adjust from there. This approach helps companies adapt, find market fit, and build better products based on actual user insights.
View Video
unravel

Databricks + Unravel: Achieve Speed and Scale on the Lakehouse

Oct 21, 2024 By Clinton Ford, Unravel VP, and Michael Milrud, Databricks Head of Product Observability In Unravel
Companies are under pressure to deliver faster innovation, enabled by cloud-based data analytics and AI. In order to deliver faster business value, data teams are looking to achieve speed and scale through data and AI pipeline performance and efficiency. A recent MIT Technology Review Insights report finds that 72% of technology leaders agree that data challenges are the most likely factor to jeopardize AI/ML goals.
Read Post
snowflake

Adobe and Snowflake Deepen Partnership to Rewrite the Next Era of Customer Experience

Oct 21, 2024 By Saptarshi (Sap) Mukherjee In Snowflake
Adobe launched Adobe Experience Platform Federated Audience Composition, now generally available on Snowflake, allowing organizations to unlock seamless interoperability for marketers by integrating Snowflake's AI Data Cloud with Adobe Real-Time Customer Data Platform (CDP) and Adobe Journey Optimizer.
Read Post
keploy

Migration Guide: From Restassured To Keploy

Oct 21, 2024 By Animesh Pathak In Keploy
If you’re tired of writing endless lines of repetitive code in RestAssured just to test your APIs, you’re not alone. API testing shouldn’t feel like pulling teeth, but let’s face it—REST Assured can make the process boring and unnecessarily time-consuming. But what if you could leave that grind behind? In this guide, we’ll show you how to make the switch to Keploy, a smarter, zero-code way to test your APIs.
Read Post
rollbar

How to Fix the OutOfMemoryError in Java

Oct 20, 2024 By Rollbar In Rollbar
Picture this: It's Black Friday, and you're circling a packed mall parking lot. Every space is taken, and cars are lined up waiting for spots. You keep circling, but there’s just no place to park and you run out of gas. When you see a java.lang.OutOfMemoryError it’s just like what you experienced in that overcrowded parking lot. The Java Virtual Machine (JVM) has run out of space to "park" new objects in memory. Now here's the thing about Java: it loves objects. It can't get enough of them.
Read Post
lenses

SQL for data exploration in a multi-Kafka world

Oct 20, 2024 By Guillaume Aymé In Lenses
Every enterprise is modernizing their business systems and applications to respond to real-time data. Within the next few years, we predict that most of an enterprise's data products will be built using a streaming fabric – a rich tapestry of real-time data, abstracted from the infrastructure it runs on. This streaming fabric spans not just one Apache Kafka cluster, but dozens, hundreds, maybe even thousands of them.
Read Post
iguazio

Gen AI for Marketing - From Hype to Implementation

Oct 20, 2024 By Sahar Dolev-Blitental In Iguazio
Gen AI has the potential to bring immense value for marketing use cases, from content creation to hyper-personalization to product insights, and many more. But if you’re struggling to scale and operationalize gen AI, you’re not alone. That’s where most enterprises struggle. To date, many companies are still in the excitement and exploitation phase of gen AI. Few have a number of initial pilots deployed and even fewer have simultaneous pilots and are building differentiating use cases.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.