Systems | Development | Analytics | API | Testing

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7 AI/ML Use Cases to Watch

What are some common AI/ML use cases? What use cases should business and IT leaders track as they shape a holistic process automation strategy? Let’s find out. Artificial intelligence (AI) refers to computer systems that mimic human thought and decision-making. Within AI, deep learning and machine learning play crucial roles. Deep learning uses neural networks to process large amounts of data and uncover patterns.

Top Trends in Real Mobile Device Testing to Watch in 2025

Since the use of mobile technology is set to advance further, testing these real devices is crucial and requires effective and efficient methods. The true concept of mobile device testing guarantees that applications perform optimally on various devices. According to Statista data, the current global number of smartphone users is 4.2 billion and is expected to rise by 1.7 billion between 2024 and 2029.

How Testing Strategies Differ by Industry

Testing isn’t one-size-fits-all—it depends on your industry and tolerance for risk. Shipping updates every few seconds might work for Amazon, but is it right for your industry? On Test Case Scenario, we break down why testing strategies vary so much depending on context. For example: Banks prioritize careful testing to protect transactions and avoid costly errors. Companies like Amazon rely on razor’s-edge testing, monitoring traffic patterns to spot issues fast.

What's Software quality?

Software quality has evolved over time. Initially, the focus was on finding and resolving defects prior to a product launch. As technology advanced, the emphasis shifted towards maintaining quality across the whole development process, particularly with the rise of Agile and DevOps methodologies. Quality is now approached proactively, encompassing all phases of the product lifecycle - from planning to deployment.

Confluent Challenges Data Integration Dogma

In the fast-paced world of data, where volume, variety, and velocity are constantly pushing boundaries, organizations are facing unprecedented challenges in integrating and harnessing data at scale effectively. Gartner just published the 2024 Magic QuadrantTM for Data Integration Tools, which recognized Confluent as a Challenger. Previously, Confluent was positioned as a Niche player in the 2023 Magic Quadrant for Data Integration Tools.