InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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AI, the Enterprise, and You: A Primer and Post-Mortem
David Wesst discusses current AI solutions along with the challenges of delivering an AI solution, from defining requirements, goals, and differences in development.
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Deep Representation: Building a Semantic Image Search Engine
Emmanuel Ameisen gives a step-by-step tutorial on how to build a semantic search engine for text and images, with code included.
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The State of AI Marketing
Federico Gobbi discusses the current state of AI in marketing, trends, case studies, technologies, ethics, regulations and compliance.
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Keep It Simple, Stupid: Driving Model Adoption through Tiers
Jamie Warner covers a tiered approach to model introduction and implementation that focuses on building stakeholder buy-in without abandoning advanced techniques.
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Rethinking HCI with Neural Interfaces @CTRLlabsCo
Adam Berenzweig talks about brain-computer interfaces, neuromuscular interfaces, and other biosensing techniques that can eliminate the need for physical controllers.
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Using Data Effectively: beyond Art and Science
Hilary Parker talks about approaches and techniques to collect the most useful data, analyze it in a scientific way, and use it most effectively to drive actions and decisions.
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Building the Enchanted Land
Grady Booch examines what AI is and what it is not, as well as how it came to be and where it's headed. Along the way, he examines some best practices for engineering AI systems.
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What Computers Can Teach Us about Humans: Machine Learning in Marketing
Melinda Han Williams discusses using machine learning in marketing.
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Big Data and Deep Learning: A Tale of Two Systems
Zhenxiao Luo explains how Uber tackles data caching in large-scale DL, detailing Uber’s ML architecture and discussing how Uber uses Big Data, concluding by sharing AI use cases.
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The New Kid on the Block: Spring Data JDBC
Jens Schauder describes the current state of Spring Data JDBC, its features and some of the underlying design decisions, especially its DDD-based API.
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Product Management of AI Products
Manjeet Singh discusses how to bring AI to enterprise product lines, how to analyze, plan, and design AI in a SaaS environment along with practices and lessons learned from Agile AI product lifecycle.
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Reactive Relational Database Connectivity
Ben Hale discusses the Reactive Relational Database Connectivity (R2DBC), explaining how the API works, the benefits of using it, and how it contrasts with the ADBC proposed as a successor to JDBC.
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