InfoQ Homepage Machine Learning Content on InfoQ
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AI, ML, and Data Engineering InfoQ Trends Report 2025
In this episode, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers and listeners with a high-level overview of the topics to pay attention to this year.
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How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking
Olimpiu Pop discusses with Jade Abbott, CTO and co-founder of Lelapa AI, how basic infrastructure scarcities found on the African continent can ignite innovation and help push forward the AI space. Particularly when dealing with never-written languages, you need to be innovative to generate proper data and divide the problem into minor problems that can be solved with fewer intensive resources.
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Wenjie Zi on Technology and Organizational Aspects for ML Project Success
In this podcast, Wenjie Zi discusses why many ML projects don’t succeed and what technology and organizational aspects affect the success of those projects. She also talked about what potential communication and understanding gaps can exist between business team and ML practitioners and how to address these gaps.
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Susan Shu Chang on Bridging Foundational Machine Learning and Generative AI
Live from the QCon San Francisco Conference, we are talking with Susan Shu Chang, Principal Data Scientist at Elastic. Chang shares insights on bridging foundational machine learning with generative AI, emphasizing the importance of deploying ML models effectively, leveraging collaborative tools for prototyping, and aligning team roles with the ML life cycle to create scalable AI solutions.
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Generally AI: Time to Travel
In this special episode, Roland Meertens and Anthony Alford meet at QCon San Francisco to discuss Time and Travel. Meertens presents three case studies where temporal misunderstandings in data science led to poor predictive performance. Alford tells the story of how the first Transcontinental Railroad shortened travel times between the East and West Coasts of the United States.
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Engaging with and Serving the Digital Seeker to Craft Great Experiences
In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Raj de Datta about applying AI in high-performance tennis, serving the digital seeker and delivering exceptional digital experiences.
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Dan Kreigh on Building SpaceShipOne and Designing Flying Cars
In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Dan Kreigh about his experiences as the lead structural analyst working on SpaceShipOne and his personal interest in designing and building a flying car.