Systems | Development | Analytics | API | Testing

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What's New: Conversational Applications And NLP With Cortex AI

Get a comprehensive overview of all the new features and services in Cortex AI that enable data and engineering teams to operationalize natural language processing pipelines and chat with your data applications.This BUILD 2024 session, led by the Cortex AI Product Managers, covers the latest LLMs, search, and text-to-SQL enhancements.

10 Fintech App Security Solutions [Complete Guide]

Design, speed, and simplicity are the winning flavors for any mobile banking app. By possessing these characteristics, the fintech app can entice any smartphone enthusiast, the number of whom is steadily increasing. The industry’s major players recognize that the pervasiveness of mobile phones in our lives must be used as a tool to win loyal users for FinTech businesses.

A new dawn for Business: CRM Marketing Automation

Imagine having a powerful tool that revolutionizes how you communicate and do business with your customers. That’s precisely what Customer Relationship Management, or CRM, offers. It’s a category of software solutions combining data-driven technology to enhance customer interactions and improve business performance.

Load testing tools: comparison of Loadero and LoadNinja

"Load, load testing, load test this, load test that, Loadero, LoadNinja, load, load, load... ugh, what should I choose?!'' - we can only imagine what the experience of choosing a load testing tool is like. The Loadero team has decided to ease the burden of choosing between testing tools by writing a comparison review about Loadero and LoadNinja. By the way, if you’re considering testRTC as an option too, we have published a similar article before, where we compared Loadero and testRTC.

Top 3 Data and Analytics Trends to Prepare for in 2025

2025 is poised to be another year of significant advancements in business intelligence (BI) and analytics. Building on the momentum of 2024, which saw a surge in self-service BI adoption, our attention turns to newer, sophisticated artificial intelligence (AI) solutions. As the data landscape evolves, it’s important to keep agile and adapt to emerging technologies to stay competitive and maximize the value of your analytics investments.

Elevating Productivity: Cloudera Data Engineering Brings External IDE Connectivity to Apache Spark

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. AI pioneer Andrew Ng recently underscored that robust data engineering is foundational to the success of data-centric AI—a strategy that prioritizes data quality over model complexity.

Pay-As-You-Live: The Future of Life and Health Insurance Unveiled

The insurance industry is experiencing a profound shift, moving away from traditional models toward more personalized, data-driven solutions. The “Pay-As-You-Live (PAYL)” model leads this change, a groundbreaking life and health insurance approach that adjusts premiums based on each individual’s lifestyle choices and behaviors. Rather than relying on general statistics and broad risk categories, Pay-As-You-Live customizes coverage to reflect the unique health habits of each policyholder.

Cut Unnecessary Tests

Is your test suite running as efficiently as it could? @Titus Fortner explains why the number of tests isn't always the problem—it's the value they bring. Deleting tests that constantly fail and don’t provide useful data can significantly reduce your total execution time. Here's what to consider when refining your test suite: Ready to make your test suite more efficient? Watch this episode of Test Case Scenario to learn more.