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How to Improve Customer Experience with AI: 3 Strategies for Success

In today's hyperconnected world, where negative reviews on social media can wreak havoc on a company’s reputation, delivering an exceptional customer experience isn't just a luxury—it's a business imperative. Companies are locked in a fierce battle for customers that is primarily based on their ability to deliver outstanding customer experiences (CX). According to research by The Conference Board, 65% of CEOs globally prioritize investing in strategies to improve CX.

Streamline Your Data: Master Your Integration with the NetSuite ODBC Driver

Need to connect to NetSuite’s rich data pools through your applications? The NetSuite ODBC driver bridges this gap. This article walks you through installation, configuration, and usage for optimal data integration, including troubleshooting tips for common issues you might encounter.

Comprehensive Guide to Continuous Threat Exposure Management (CTEM)

In an era where businesses are adopting digital transformation at a rate that is beyond comprehension, exposure management is a critical component of any strategy to successfully handle the omnipresent problem of mitigating cyberattacks, data breaches, and other security threats. Businesses could profit from adopting new technology and digital services, but doing so expands the attack surface, making them more vulnerable to forthcoming attacks.

Cloudera's RHEL-volution: Powering the Cloud with Red Hat

As enterprise AI technologies rapidly reshape our digital environment, the foundation of your cloud infrastructure is more critical than ever. That’s why Cloudera and Red Hat, renowned for their open-source solutions, have teamed up to bring Red Hat Enterprise Linux (RHEL) to Cloudera on public cloud as the operating system for all of our public cloud platform images. Let’s dive into what this means and why it’s a game-changer for our customers.

4 Ways Codezero Optimizes AI Dev

Leveraging Codezero can significantly benefit AI developers in building better, larger, and more sophisticated models through its suite of features designed to simplify and secure microservices development. By addressing common challenges in AI model development, such as environment consistency, collaboration, scalability, and security, Codezero provides a conducive environment for innovation and efficiency. Here’s how AI developers can harness Codezero for these advantages.

Making the Leap from Azure to Codemagic

This article was origninally published here. In this article, we’re spilling the beans on why we switched from Azure to Codemagic and showing you exactly how to supercharge your CI/CD game. We’re covering the entire spectrum — from compiling and creating release notes to testing and deployment. Let’s rewind a bit to our iOS developers’ struggles. Our CI process (think builds, tests, and coverage) was taking a chunky 40–50 minutes.

6 Benefits of a Real Device Cloud vs. Physical/On-Premises Real Devices for Mobile App Testing

Some mobile app development teams today are still dealing with the challenges of maintaining physical/on-premises real devices for mobile app testing. This blog post makes the case for moving real device testing to the cloud.

N|Solid: Node.js Compatibility Proven through Fastify CI Integration

At NodeSource, we understand the hesitance and scrutiny that often accompany claims of "Node.js compatibility". The Node.js ecosystem is vast and intricate, and as Matteo Collina rightly points out, passing a "hello world" example is just the start. We believe N|Solid should be a component of every Node.js project, especially in production, to provide developers and organizations with the most advanced performance and security observability tooling.

Software Testing Optimization: Avoiding the Pitfalls of Over-Testing and Under-Testing

Thorough software testing aims to identify and resolve potential issues before they impact users, ensuring a high-quality user experience. However, optimal testing levels can be hard to achieve for most quality assurance (QA) teams. An optimal testing level requires balancing testing thoroughness, coverage, and speed with resource allocation.