Technology

SmartBear Delivers AI-Driven Hubs to Transform Software Quality and Accelerate High-Quality Delivery

Jan 14, 2025 By SmartBear In SmartBear

SmartBear API Hub and SmartBear Insight Hub allow development teams to scale seamlessly, integrate workflows, and leverage comprehensive quality and developer observability tools.

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Technical Underpinnings of Apache Iceberg

Jan 14, 2025 By Terence Bennett In DreamFactory

Modern data systems demand flexibility, tool interoperability, and strong data integrity. Legacy formats often create barriers with rigid schemas, inefficient partitioning, and weak transactional guarantees. Apache Iceberg overcomes these limitations with a modular design that decouples metadata from data storage, enabling smooth-schema changes, efficient query pruning, and ACID compliance across engines. This article explores Iceberg’s technical foundations.

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6 Best Practices for Implementing Generative AI

Jan 14, 2025 By Alexandra Quinn In Iguazio

Generative AI has rapidly transformed industries by enabling advanced automation, personalized experiences and groundbreaking innovations. However, implementing these powerful tools requires a production-first approach. This will maximize business value while mitigating risks. This guide outlines six best practices to ensure your generative AI initiatives are effective: valuable, scalable, compliant and future-proof.

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Introducing One Million Minds + One Platform

Jan 13, 2025 By Snowflake In Snowflake

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.

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Shaping the Future of Digital Transformation in Singapore

Jan 13, 2025 By Kong In Kong

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.

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

Jan 10, 2025 By Alisdair Broshar In Koyeb

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.

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

Jan 9, 2025 By Harshal Pimpalkhute In Snowflake

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.

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Emulator vs Simulator in Mobile App Testing: Key Differences

Jan 9, 2025 By Pratik Patel In Alphabin

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.

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The Role of QA in Ensuring AI Ethics and Fairness

Jan 9, 2025 By Chetan Thummar In Alphabin

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.

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Taking a Unified Approach to Hybrid Cloud Modernization

Jan 9, 2025 By Jeff Cheng In Hitachi Vantara

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.

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