Systems | Development | Analytics | API | Testing

Hybrid Cloud Infrastructures Set to Dominate AI Market

About 100 years ago, Austrian economist, Joseph Schumpeter introduced the idea of “creative destruction.” It describes the process by which new innovations and technologies replace and make outdated ones obsolete. It’s an ongoing process that constantly reshapes the economy emphasizing innovation-driven economic development and growth, leading to the dismantling or transformation of old industries and economic structures, and the creation of new ones.

Bridging the Data Divide: How Confluent and Databricks Are Unlocking Real-Time AI

We’re excited to announce an expanded partnership between Confluent and Databricks to dramatically simplify the integration between analytical and operational systems. This is particularly important as enterprises want to shorten the deployment time of AI and real-time data applications. This partnership enables those enterprises to spend less time fussing over siloed data and governance and more time creating value for their customers.

The AI Tipping Point: What Advertising, Media and Entertainment 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 advertising, media and entertainment industry 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.

Build a Real-Time AI Chatbot for Social Media with Confluent & Databricks

Power AI-driven decision-making with Confluent’s Data Streaming Platform and Databricks’ Data Intelligence Platform. Watch this step-by-step demo to learn how to build a real-time social media AI chatbot that instantly engages with customer posts, like product reviews. New to Confluent? Experience unified Apache Kafka and Apache Flink with a free trial.

Rethinking Testing for the AI Era

The real obstacle to AI revolutionizing development? Us. Are we bold enough to rebuild processes and make AI a true collaborator? Can we ditch the fantasy of "one tool to rule them all" and embrace smarter, leaner AI teamwork? The future of testing—and AI—demands a total shift in mindset. Are you ready to rewrite the rules? Catch the latest episode of Test Case Scenario to see what’s next.

AI Magic: Custom GPT & Git Ingest

Experience the power of AI like never before! In this demo, we showcase Custom GPTs and how they seamlessly integrate with Git Ingest to enhance workflows, automate tasks, and streamline development. What You’ll Learn: How to create and customize a GPT for specific use cases Using Git Ingest to process repositories efficiently Real-world applications and automation examples Whether you're a developer, AI enthusiast, or just curious about next-gen AI tools, this demo will give you a hands-on look at what's possible!

Building Smarter Developer AI Agents: QA Automation for Seamless Next-Gen Software Evolution

AI code generation is at a Pareto threshold. The first 80%—writing simple, functional snippets—is relatively straightforward. But the last 20%? That’s where it gets tricky. Building resilient, adaptable systems isn’t just a technical hurdle; it’s a leap of imagination and engineering, similar to the journey toward self-driving cars. Remember when everyone thought fully autonomous vehicles were “just around the corner”?

Supercharging Data Lakes: GenAI & Snowflake Advantage

In today’s GenAI-driven world, having the right data foundation is essential to unlock the full potential of AI. Traditional on-premise data lakes often fall short in scalability and agility, while even many cloud-based solutions struggle with reliability, performance, and governance. Join Ruchi Soni in this webinar to explore how Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs).

Transform Testing With Perfecto AI Validation

Perfecto’s AI Validation transforms the way teams approach testing by intelligently analyzing test scenarios, visually validating applications, and adapting to changes—all without manual intervention. Enable your team to contribute to testing with simple, plain-language scripts, validate functional, visual, and contextual elements to ensure improved coverage across all application layers, automate script creation and updates to eliminate repetitive tasks, and increase efficiency, reduce manual effort, and deliver tangible value with advanced AI-driven solutions that optimize testing processes.