InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Relational Data at the Edge: How Cloudflare Operates Distributed PostgreSQL Clusters
Explore Cloudflare's distributed PostgreSQL clusters and learn how a cross-region architecture ensures resilience. Discover how data storage and access at the edge deliver massive performance gains by reducing location-sensitive latency and why architecting for degraded states is much harder than for failure states.
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/articles/managed-relational-databases-costs/en/smallimage/the-hidden-cost-of-using-managed-databases-small-1709656241351.jpg)
The Hidden Cost of Using Managed Databases
The rising popularity of managed relational databases brings hidden costs, and informed decisions are crucial for optimal use. This article shows the importance of monitoring service expenses, revising default settings, and understanding operational constraints, considering limitations like reduced flexibility and observability.
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/articles/generative-ai-fraud-prevention/en/smallimage/generative-AI-shaping-a-new-future-for-fraud-prevention-small-1707813640911.jpg)
Generative AI: Shaping a New Future for Fraud Prevention
This article explores how generative AI affects fraud detection by reducing false positives and dynamically adapting to changing fraud patterns. This combination offers a potent preventive solution when integrated with machine learning. The efficacy and scalability of fraud prevention initiatives are enhanced by this innovative approach.
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Generative AI and Organizational Resilience
Generative AI will profoundly transform communication and information sharing over the next decade, but the change will be uneven across industries and roles. Organizations should empower workers to use AI augmentation thoughtfully, while building literacy on capabilities and limits. A balanced, conscientious integration, using iterations and customer feedback, will produce the best outcomes.
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Maximizing the Utility of Large Language Models (LLMs) through Prompting
In this article, authors Numa Dhamani and Maggie Engler discuss how prompt engineering techniques can help use the large language models (LLMs) more effectively to achieve better results. Prompting techniques discussed include few-shot, chain-of-thought, self-consistency, and tree-of-thoughts prompting.
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Simplifying Persistence Integration with Jakarta EE Data
Jakarta Data streamlines Java enterprise data integration. Supporting various databases, it boosts productivity, is open-source, and community-driven. GitHub offers hands-on experience for modernizing enterprise architectures.
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Building Kafka Event-Driven Applications with KafkaFlow
KafkaFlow, a .NET open-source project, simplifies Kafka-based event-driven app development with features like middleware for message processing, enhancing maintainability, customization potential, and allowing developers to prioritize business logic.
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/articles/ai-ml-data-engineering-trends-2023/en/smallimage/the-infoq-trends-report-small-logo-1693560017882.jpeg)
InfoQ AI, ML, and Data Engineering Trends Report - September 2023
In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.
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/articles/carbon-emissions-generative-ai/en/smallimage/Managing-the-Carbon-Emissions-Associated-with-Generative-AI-small-1693489139335.jpg)
Managing the Carbon Emissions Associated with Generative AI
There’s an increasing concern about the energy use and corresponding carbon emissions of generative AI models. And while the concerns may be overhyped, they still require attention, especially as generative AI becomes integrated into our modern life. Factors such as model architecture, transparency and quantization of models are required to decrease carbon emission from AI systems.
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/articles/leveraging-jnosql-1-0/en/smallimage/Otavio Santana article small-1692269013947.jpg)
Leveraging Eclipse JNoSQL 1.0.0: Quarkus Integration and Building a Pet-Friendly REST API
Eclipse JNoSQL 1.0.0 modernizes NoSQL integration with advanced features, standardized specs (Jakarta NoSQL & Jakarta Data), enhanced queries, schema migration, and Quarkus framework compatibility. It simplifies NoSQL use, boosts performance, scalability, and integrates seamlessly, empowering developers with tools to streamline data management in modern apps.
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/articles/ai-based-prose-programming-for-subject-matter-experts/en/smallimage/AI-based-prose-programming-small-1691410669692.jpg)
AI-Based Prose Programming for Subject Matter Experts: Will This Work?
In this article, author Markus Völter discusses the future of programming using Large Language Model (LLM) tools like ChatGPT and GitHub’s Copilot for prose-to-code generation. He also talks about what new approaches and language changes need to be in place to help non-programmers take advantage of the "program in prose" techniques.
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/articles/chatgpt-agent-C-plus-plus/en/smallimage/creating-your-own-AI-co-author-using-Cplusplus-small-1687936436760.jpg)
Creating Your Own AI Co-Author Using C++
While using ChatGPT through a web interface is one thing, creating your own autonomous AI tool that interfaces with ChatGPT via its API is a different story altogether. As strong proponents of C++, in this article we are going to present a GPT tool written in C++ to ease the pain of dealing with the daunting task of editing endless editorial comments.