Lazada Group
PulseAugur coverage of Lazada Group — every cluster mentioning Lazada Group across labs, papers, and developer communities, ranked by signal.
No coverage in the last 90 days.
- subsidiary of Alibaba Group 100%
- subsidiary of Tesco 100%
- employed by Singapore Management University 90%
- employed by Georgia Tech 90%
- acquired by Alibaba Group 70%
- competes with Shopee 70%
- used by BuyWhere 70%
- instance of Georgia Tech 70%
- used by Claude Artifact 70%
- affiliated with Singapore Management University 60%
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BuyWhere's Claude shopping agent gains traction with interactive demos
A shopping comparison agent built using Anthropic's Claude Artifact has gained significant traction, surpassing 100 forks and driving over 25 new API signups. The agent allows users to search millions of products and co…
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BuyWhere's Claude shopping agent gains traction with interactive demos
A shopping comparison agent built using Anthropic's Claude Artifact has gained significant traction, surpassing 100 forks and driving over 25 new API signups. The agent allows users to search millions of products and co…
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BuyWhere launches interactive AI shopping agents for Claude and ChatGPT
BuyWhere has released an interactive Claude Artifact and a ChatGPT GPT template designed to function as a shopping agent. These tools allow users to compare prices across numerous Singaporean retailers for over 3 millio…
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BuyWhere launches interactive AI shopping agents for Claude and ChatGPT
BuyWhere has released an interactive Claude Artifact and a ChatGPT GPT template designed to function as a shopping agent. These tools allow users to compare prices across numerous Singaporean retailers for over 3 millio…
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Chinese brands leverage Lazada for explosive growth in Southeast Asia's beauty economy
Chinese brands are experiencing significant growth in Southeast Asia by focusing on the "beauty economy" rather than just low prices. Companies like "Brainstorm Fan" in electronics and "Xiao Ou Ting" in cosmetics have a…
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LLM-powered Biographies
Eugene Yan experimented with several large language models, including GPT-4, Claude-v1.2, and Cohere-xlarge, by asking them to generate his biography. He observed that while the models captured the general essence of hi…
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Eugene Yan shares insights on writing about machine learning and data science
Eugene Yan, an applied scientist at Amazon, is recognized for his ability to explain complex machine learning and data science concepts through his personal blog. Initially starting his website for personal development,…
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Eugene Yan details his unconventional path to data science leadership
Eugene Yan, a data science professional, shared insights into his career journey, starting from a psychology background and transitioning into data science roles at companies like IBM, Lazada, and Amazon. He highlighted…
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Eugene Yan shares strategies for managing chronic imposter syndrome
Eugene Yan discusses the persistent feeling of imposter syndrome, even among highly accomplished individuals. He shares personal anecdotes from his career, highlighting how a lack of traditional credentials led to feeli…
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Eugene Yan discusses the importance of writing in tech careers
Eugene Yan, an Applied Scientist at Amazon, discussed the significance of writing in a tech career on the DataTalks.Club podcast. He shared his personal journey, starting from a Psychology degree and transitioning into …
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Hackathon judges favor simple, executable ideas over complex ones
Eugene Yan recounts his experience observing Lazada's 2017 hackathon, where a seemingly simple idea—adding notifications to the existing wish list feature—won over more complex and ambitious projects. The winning team i…
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Data science career guides offer essential tools, skills, and job search advice
Eugene Yan's article outlines essential tools and skills for aspiring data scientists, emphasizing SQL, Python/R, and Spark for data manipulation and analysis. He also highlights the importance of foundational knowledge…
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Psychology grad leverages self-study to lead data science at Lazada
Eugene Yan, who holds a Psychology degree, shares his unconventional path to becoming a data science leader at Lazada. Despite lacking a traditional technical background, Yan leveraged self-learning through online cours…
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Eugene Yan discusses Asia's tech giants and SuperApp strategy at OLX keynote
Eugene Yan delivered a keynote at the OLX Group Product & Tech Conference in October 2019, focusing on the strategies of Asian tech giants and the SuperApp phenomenon. The presentation explored how companies like Alibab…
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Eugene Yan explores Agile and Scrum frameworks for data science effectiveness
Eugene Yan's articles explore the application of Agile and Scrum frameworks within data science teams, highlighting both their benefits and challenges. While Agile's iterative approach, clear task definition, and feedba…
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Big Data & Analytics Summit - Data Science Challenges @ Lazada
Eugene Yan shared insights from his experience building and scaling a data science function at Lazada, highlighting three key challenges. These included determining the appropriate level of business input versus automat…
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Eugene Yan shares how Lazada leverages data science for e-commerce
Eugene Yan, VP of Data Science, recently spoke at INSEAD about Lazada's application of data science and machine learning in e-commerce. He highlighted two key use cases: automated user review classification, which signi…
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Eugene Yan shares lessons learned from his first 100 days as Data Science Lead at Lazada.
Eugene Yan, Lazada's Data Science Lead, reflects on his initial 100 days transitioning from an individual contributor to a leadership role. He discusses the challenges of shifting focus from deep technical involvement t…
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Eugene Yan shares insights on data science career path and daily work
Eugene Yan, a data scientist formerly with Lazada, shared insights into his career path and the realities of the data science field. He explained that his interest in psychology and statistics led him to data science, e…
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Building a data team
Eugene Yan's articles discuss the critical aspects of building and managing successful data science teams, emphasizing the importance of hiring individuals with curiosity, grit, and humility. He advocates for a culture …