Systems | Development | Analytics | API | Testing

The Impact of AI on Software Engineering Productivity

It is hard to imagine a time not long ago where AI has not been front and centre of our everyday news, let alone in the software engineering world? The advent of LLMs coupled with the existing compute power catapulted the use of AI in our everyday lives and in particular so in the life of a software engineer. This article breaks down some of the use cases of AI in software engineering and suggests a path to investigate the key question: Did we actually become more productive?

Is AI Up To the Hype?

Is AI development living up to the hype, or are we stuck in a loop of promises without delivery? Sure, Copilot can smooth your workflow—but is it a game-changer or just a convenience? And ChatGPT, is it a genius tool or just a glorified copy-paste assistant exposing the cracks in usability? AI tools might be shiny and new, but until they fit seamlessly into a developer's IDE and actually enhance flow, we’re stuck navigating buzzwords over breakthroughs.

The AI Tipping Point: What Public Sector Leaders Need to Know for 2025

AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that the public sector gets serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

Optimizing Query Performance in Snowflake Using AI Tools

Have you ever wondered how to unlock the full potential of the Snowflake AI suite? This webinar will provide the answers! Join Maja Ferle and Pooja Kelgonkar, Snowflake Data Superheroes, to learn how to identify and resolve query performance bottlenecks, optimize resource usage, and accelerate data insights using Snowflake AI tools. Discover best practices for writing optimized queries and leveraging Snowflake’s built-in tools, such as Co-Pilot, to enhance performance.

AI-Driven SOC Transformation with Cloudera: Enhancing Security Operations with Agentic AI

Security Operations Centers (SOCs) are the backbone of organizational cybersecurity, responsible for detecting, investigating, and responding to threats in real-time. Yet, the increasing complexity and volume of cyber threats present significant challenges. SOC teams often grapple with alert fatigue, skill shortages, and time-consuming processes.

Is AI Living Up to the Hype? A Retrospective Look from Industry Experts

AI has made waves in testing, but how much has really changed? In this episode of Test Case Scenario, Jason Baum, Evelyn Coleman, and Marcus Merrell take a critical look at the progress of AI in software testing. They discuss the real capabilities of tools like ChatGPT and Copilot, what’s improved over time, and what still leaves testers frustrated. You’ll also hear insights into how AI tools are shaping software development workflows, why cost and sustainability are becoming bigger concerns, and what testers can do to separate AI hype from practical solutions.

How AI is Transforming Software Testing in 2025

The software testing landscape is experiencing an unprecedented transformation as we venture into 2024. This transformation isn't merely an incremental change—it represents a fundamental shift in how organizations approach quality assurance and testing methodologies. At the heart of this revolution lies artificial intelligence (AI), which is reshaping traditional testing paradigms and creating new possibilities for quality assurance professionals and developers alike.

The Marketing Agency of the Future: Powered by Unified Data, Trust and AI

We are entering a new era for marketing and advertising agencies. From evolving consumer expectations and increasingly stringent privacy regulations to the rise of AI, the landscape is shifting rapidly. To remain competitive, agencies need to reimagine how they operate. The winners will be those that adopt forward-thinking data strategies, build trust with partners and clients, and leverage AI to deliver real-time insights and personalized campaigns.

The AI Tipping Point: What Telecommunications Leaders Need to Know for 2025

AI is proving that it’s here to stay. While 2023 brought wonder, and 2024 saw widespread experimentation, 2025 will be the year that telecommunications enterprises get serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

How Your Team Can Achieve Sustainable Test Growth: Balancing Speed, Cost, and Quality in the AI Era

The promise of AI-driven development is undeniable – faster code, quicker releases, and unprecedented innovation. But here’s the catch: AI isn’t perfect, and the code it generates could be riddled with hidden flaws. In fact, within three years, over a third of all code will be AI-generated, and much of it may introduce more bugs into production than ever before.