InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Achieving Seamless Integration through User Co-Design
Savannah Kunovsky and Jenna Fizel, co-managing directors of IDEO’s Emerging Technology division, talk about the future of technology in general and how we can work with our users to build the most impactful product. They explore prototyping and co-design techniques, as well as how generative AI can help with rapid prototyping.
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Nikolaos Vasiloglou on Knowledge Graphs and Graph RAG
In this podcast, Nikolaos Vasiloglou from @RelationalAI team discusses how knowledge graph based applications are leveraging Generative AI technologies and how Graph RAG techniques can be used to enhance data analytics and insights.
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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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How to Improve the Quality of the Gen AI-Generated Code and Your Team’s Dynamics
Birgitta Böckeler, Thoughtworks’ subject matter expert on Generative AI coding assistants, discusses how to enhance generated code by incorporating additional information into its context, and how your team’s dynamics will evolve with the adoption of these tools.
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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.