Systems | Development | Analytics | API | Testing

Introducing One Million Minds + One Platform

AI and technology are reshaping the world we live and work in every day. It’s imperative that we equip people with the tools and skills they need to succeed in this rapidly changing landscape. In this video, Snowflake CEO Sridhar Ramaswamy announces a new company initiative to tackle the challenge. Called "One Million Minds + One Platform," its goal is to train and certify one million students and professionals in data and AI by 2029 and 100,000 users on the Snowflake AI Data Cloud by 2027.

Shaping the Future of Digital Transformation in Singapore

As AI technologies continue to revolutionize industries, organizations must balance innovation with responsibility. Kong understands that embracing AI involves not just adopting new tools but also ensuring they're secure, compliant, and sustainable. During a recent visit to Singapore, Kong's Co-Founder and CTO Marco Palladino highlighted the critical need for a robust governance framework to manage the rapid pace of AI innovation responsibly.

Autoscaling, Serverless GPUs, Croissants, and More! The 2024 Recap

We’re on a mission to simplify application deployment for developers and businesses worldwide. Our next-generation serverless platform enables you to deploy and scale AI workloads, full-stack applications, APIs, and more in seconds — without any complexity. 2024 was filled with major milestones in this journey: Autoscaling, scale to zero, new regions, faster deployments, Volumes and Snapshots, and so much more.

Build RAG and Agent-based AI Apps with Anthropic's Claude 3.5 Sonnet in Snowflake Cortex AI

Today, we are excited to announce the general availability of Claude 3.5 Sonnet as the first Anthropic foundation model available in Snowflake Cortex AI. Customers can now access the most intelligent model in the Claude model family from Anthropic using familiar SQL, Python and REST API interfaces, within the Snowflake security perimeter.

Emulator vs Simulator in Mobile App Testing: Key Differences

With over 6.1 billion smartphone users expected by 2028, how will your app be unique in a highly saturated and competitive environment? It is all about proper mobile app testing, or rather, the lack of it in most cases. Good usability and high-level user experience are the major factors in the current conditions of market competition. That is where tools like emulators and simulators are really useful.

The Role of QA in Ensuring AI Ethics and Fairness

Artificial intelligence (AI) has become an integral part of modern software, driving innovation across industries from healthcare to finance. However, as AI systems increasingly influence critical decisions, concerns around bias, fairness, and ethical implications have come to the forefront. Quality Assurance (QA) professionals are uniquely positioned to address these challenges, ensuring that AI systems are not only functional but also equitable and ethical.

Taking a Unified Approach to Hybrid Cloud Modernization

Over 70% of global enterprises generate, store and use their data in hybrid environments. But while hybrid cloud adds flexibility, it also introduces complexity. This often leads to customers avoiding implementation of mixed virtualization and container platforms in order to prevent additional complexity and to address talent shortages, as each platform is intricate and requires specialized skills.

Top 7 APIs for Seamless PDF Integration in Web Applications

Since Adobe introduced the PDF in 1993, this versatile file format has played a key role in the digital revolution. PDFs give us a universal languages across different devices, they support interactive and multimedia elements, and they provide robust encryption. Today, Adobe estimates there are over 2.5 trillion PDFs in existence around the world. It’s fairly self-evident, then, that PDF functionalities are now a crucial part of web application development.

AI in Software Testing: Key Trends to Watch in 2025

Software development is a dynamic field that needs reliable and effective testing practices. Artificial Intelligence (AI) is poised to revolutionize software testing services in this dynamic environment. As 2025 draws near, AI is set to transform quality assurance (QA) by automating processes, increasing accuracy, and boosting software quality in general. In this blog article, the leading AI developments in software testing for 2025 are examined.

From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

For years, Cloudera’s platform has helped the world’s most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, it’s clear that our naming should reflect that shift. That’s why we’re moving from Cloudera Machine Learning to Cloudera AI.