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Data mining and analytics, market research, and data driven decision support. Experience…
Articles by Tom
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Data Science: theory free or hypothesis based?
Data Science: theory free or hypothesis based?
Tom Breur July 2022 A question sometimes comes up whether data science projects should be “theory driven”, or whether…
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When will machines begin to learn?
When will machines begin to learn?
Tom Breur 24 May 2020 BF Skinner (1904-1990) was an influential psychologist, best known for his experiments on…
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Automated Machine Learning is *not* Artificial Intelligence
Automated Machine Learning is *not* Artificial Intelligence
Tom Breur 3 May 2020 Machine learning is quickly becoming a commodity. As demand for this capacity continues to grow…
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Reflection on the COVID-19 pandemic
Reflection on the COVID-19 pandemic
Some reflections during a walk in Cape Cod Warning: this may appear grim As some of you know, I work with data. My job…
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Activity
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A question I get a lot: do 700 pages on a single technical topic still make sense in 2026? Fair question. I do the math somehow differently. Per…
A question I get a lot: do 700 pages on a single technical topic still make sense in 2026? Fair question. I do the math somehow differently. Per…
Liked by Tom Breur
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Ik vaar mee met de volgende Global Sumud Flotilla. Deze missie heeft niet alleen tot doel de illegale belegering door Israël te doorbreken en…
Ik vaar mee met de volgende Global Sumud Flotilla. Deze missie heeft niet alleen tot doel de illegale belegering door Israël te doorbreken en…
Liked by Tom Breur
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Using one of the pre-built solutions is a great way to try #agnosticdatalabs without having to understand the whole tool. The #datavault examples…
Using one of the pre-built solutions is a great way to try #agnosticdatalabs without having to understand the whole tool. The #datavault examples…
Liked by Tom Breur
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Education
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Publications
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Big Data - het nieuwe goud?
Academic Service
See publicationBig Data, the "new" era of data driven decision-making. In order to compete and stay relevant, few organizations can afford not to get involved with organizing and leveraging their data.
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Data Vault, Business objectives for next generation data warehousing
Information magazine BI-community.org (Belgium)
See publicationBy design, Data Vault enables businesses to use data quality
issues to move the business forward, and create alignment in-
stead of friction between BI functions and operational process-
es. It is perfectly suited for Agile development methodologies,
and hence ef cient delivery of sustainable BI solutions.
Languages
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English
Native or bilingual proficiency
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Dutch
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French
Professional working proficiency
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German
Professional working proficiency
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After an impactful chapter, I’ve concluded my time at Boston Scientific and will be taking a short sabbatical in the months ahead. Leading work…
After an impactful chapter, I’ve concluded my time at Boston Scientific and will be taking a short sabbatical in the months ahead. Leading work…
Liked by Tom Breur
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Is this the one that hits? What are your thoughts? Lars Rönnbäck Patrik Lager Stephen Brobst Henrik Verup Stefan Frost Philip Hägglund Hannu Järvi…
Is this the one that hits? What are your thoughts? Lars Rönnbäck Patrik Lager Stephen Brobst Henrik Verup Stefan Frost Philip Hägglund Hannu Järvi…
Liked by Tom Breur
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Erin Davison Medeiros
We're facing more and more questions about the use of synthetic data in market research. I'd recommend this blog post, which really resonated with me. So much of the conversation is "how closely can this replicate human data?" But there are so many other considerations researchers should be thinking about. https://lnkd.in/eSQfSTPj
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GyaanSetu AI (Artificial Intelligence)
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PixlData
If your datasets are poorly labeled, you’re inviting a host of issues like noise, bias, and inconsistencies that can seriously hurt your model's accuracy and reliability when it’s out in the wild. That's why data labeling has evolved from being just a preliminary step into a vital part of engineering and operations in the AI lifecycle.
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Temel Kahyaoglu
A plea for data literacy education! 🧑🏫 In this interview, Dr. Joe Perez explains why companies can no longer avoid investing in their employees’ data skills and outlines how to approach this effectively. 👉 https://lnkd.in/eEAxPpJM #tgoa #thegroupofanalysts #knowledgeworkers #dataliteracy
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StorageReview.com
Data silos are one of the biggest roadblocks to efficient analytics and AI workflows. MinIO’s new Aistor Table Sharing is designed to tear down those barriers by enabling direct, on-premises data access from Databricks without copying or duplicating data. Key takeaways: • Aistor Table Sharing lets Databricks query on-prem MinIO data directly, eliminating data movement. • This approach reduces complexity, storage sprawl, and latency for hybrid and on-prem use cases. • By keeping data in place while supporting modern analytics and AI consumption, organizations can accelerate time to insight. Full story: https://lnkd.in/e4mh22md #DataManagement #HybridCloud #AIAnalytics MinIO
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Dahua UK & Ireland
Unlock powerful insights with DSS Professional's Intelligent Analysis. Metadata tools for demographic and directional data, including gender and age. 'In Area Number' analysis with custom duration settings for strategic planning. Download & learn more: http://tiny.cc/dahuadss
1 Comment -
Dahua Technology Ireland
Unlock powerful insights with DSS Professional's Intelligent Analysis. Metadata tools for demographic and directional data, including gender and age. 'In Area Number' analysis with custom duration settings for strategic planning. Download & learn more: http://tiny.cc/dahuadss
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Ramona Daniel
Last week, I spoke at the Data Behind the Scenes conference #DataBS It's a conference run by Randy Au for data practitioners who are tired of polished case studies that skip over the actual work. Instead you get honest takes on project realities: the messy bits, the trial and error, the things that go wrong. I spoke about the 10 red flags that your multi-market research data went sideways. We've all had that moment, staring at survey results that look technically correct but feel fundamentally wrong, then having to explain why three countries' worth of data is unusable. Links to my talk, as well as the full playlist, are in the comments
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