InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Rethinking Connectivity at the Edge: Scaling Fleets of Low-Powered Devices Using NATS.io
Jeremy Saenz discusses NATS, an open-source project for services communication, and how to leverage NATS to streamline communication and fleet management for devices at the edge.
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Why a Hedge Fund Built Its Own Database
James Munro discusses ArcticDB and the practicalities of building a performant time-series datastore and why transactions, particularly the Isolation in ACID, is just not worth it.
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Incremental Data Processing with Apache Hudi
The presenters discuss an introduction to incremental data processing, contrasting it with the two prevalent processing models of today - batch and stream data processing.
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Chronon - Airbnb’s End-to-End Feature Platform
Nikhil Simha discusses Airbnb's Feature Platform, focusing on the recent efforts to solve the challenges, specifically covering: core APIs, training data generation, feature serving and observability.
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Generative AI and Organizational Resilience
Alex Cruikshank discusses where GenAI is likely to have the greatest impact, steps to manage this change, and ways to leverage the shift to AI mediated work to better understand business processes.
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Developer Experience in the Age of Generative AI
The panelists discuss challenges developers face that interrupt the development flow, slow things down, the tools available to help, and how to use AI-powered programming assistants to help.
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Generative Search: Practical Advice for Retrieval Augmented Generation (RAG)
Sam Partee discusses Vector embeddings in LLMs, a tool capable of capturing the essence of unstructured data used by LLMs to gain access to a wealth of contextually relevant knowledge.
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Being a Responsible Developer in the Age of AI Hype
Justin Sheehy discusses the dramatic developments in some areas of artificial intelligence and the need for the responsible use of AI systems.
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Defensible Moats: Unlocking Enterprise Value with Large Language Models
Nischal HP discusses risk mitigation, environmental, social, and governance (ESG) framework implementation to achieve sustainability goals, strategic procurement, spend analytics, data compliance.
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When AIOps Meets MLOps: What it Takes to Deploy ML Models at Scale
Ghida Ibrahim introduces the concept of AIOps referring to using AI and data-driven tooling to provision, manage and scale distributed IT infra.
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Reach Next-Level Autonomy with LLM-Based AI Agents
Tingyi Li discusses the AI Agent, exploring how it extends the frontiers of Generative AI applications and leads to next-level autonomy in combination with enterprise data.
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Lessons Learned from Building LinkedIn’s AI Data Platform
Felix GV provides an overview of LinkedIn’s AI ecosystem, then discusses the data platform underneath it: an open source database called Venice.
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