Systems | Development | Analytics | API | Testing

The AI Tipping Point: What Manufacturing 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 manufacturing 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.

Announcing Strategic Distribution Partnerships to Scale AI

As we head into 2025, Qlik is taking a significant step forward in the evolution of our go-to-market approach by placing an even greater emphasis on our partnerships. This move is aimed at capturing the growing market opportunity in data integration, data quality, analytics and AI.

Laravel Docker containers for development and production

In recent years, both Docker and Laravel have exploded in popularity. In this step-by-step tutorial, we will dive into how to dockerize an existing Laravel app to run it locally. Then, we'll make it ready to run in a production environment, like for a web server. We will also deploy it to Google Cloud Run without getting into Kubernetes or any YAML configs, taking advantage of our Laravel Docker container. Let’s dig in!

Flutter vs React Native: Which one should you opt for your Business?

Every day, thousands of new apps make their way into the mobile app world. Remember 2018? That’s when app downloads shot up by 9%, and smartphone users spent a jaw-dropping $100 billion on apps. Crazy, right? Now, let’s talk about custom app development and cross-platform apps. By 2018, their market had already crossed $7.5 billion. But why are we going on about 2018?

Event-Driven AI: Building a Research Assistant with Kafka and Flink

This post was originally published on Medium on Nov. 20, 2024. The rise of agentic AI has fueled excitement around agents that autonomously perform tasks, make recommendations, and execute complex workflows blending AI with traditional computing. But creating such agents in real-world, product-driven environments presents challenges that go beyond the AI itself.

How to Use Regular Expressions in Python

Regular expressions, commonly known as regex, are a tool for text processing and pattern matching. In Python, the re module offers a robust implementation of regex, allowing developers to handle complex text manipulation efficiently. In this article, we'll get to grips with regular expressions and provide practical code examples — from the basic to more advanced — so you can understand how to use regex in Python.

Deploy AI Infrastructure in 2025: Serverless GPUs, Autoscaling, Scale to Zero, and More!

We’re on a mission to simplify application deployment for developers and businesses worldwide, whether they're AI-driven models, full stack applications, APIs, or databases. Our next-generation serverless platform significantly accelerates your deployments and improves efficiency, enabling you to build more with less spend. 2024 was a major year for us, packed with crucial serverless milestones.

Introducing Analyst Studio: Where analysts become business catalysts

With the ever-growing focus on GenAI, many legacy BI tools have failed to invest in the analyst. By focusing solely on AI experiences for business teams, they’ve alienated data teams, relegating analysts to disjointed tools and data silos. When in reality, businesses still need people who can help decision-makers assess messy data to diagnose and evaluate business problems. In fact, in this age of AI, we need analysts more now than ever.