What is a data product, anyway? Our cofounder and CTO, Siping Wang, shares his thoughts with Forbes contributor, Adrian Bridgwater. Two key takeaways: Building data products takes deep domain expertise and, in the life sciences, you quickly realize how essential it is to bring the scientists and researchers into the design of the data product due to the complexity of the workflows. Learn more about scientific-data-as-a-product in the full article: https://lnkd.in/eGBMrv2A
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📄 With the recent release of the Box-sponsored IDC white paper, 'Untapped Value: Executives' Guide to Unstructured Data,' we're exploring AI-driven insights from your unstructured data, analyzing the associated challenges, and more on our blog. 👇
📄 With the recent release of the Box-sponsored IDC white paper, 'Untapped Value: Executives' Guide to Unstructured Data,' we're exploring AI-driven insights from your unstructured data, analyzing the associated challenges, and more on our blog. 👇...
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In Issue 5 of The Data Scientist Magazine, we introduced Jacques Conradie, who is regarded as an expert in the field of data management and analytics. He has a proven track record of leading and shaping technology change in the financial services and gas/oil industry. In his article, Jacques shares insights on how organizations can effectively scale their data management capabilities within global data platforms by adopting principles from data mesh architecture. To read the full article, you can subscribe for free at https://lnkd.in/ePteHJZG. #DataScienceTalent #TheDataScientistMagazine #AI#DataPlatforms #DataManagement
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In our Latest Blog post; EVOLUTION OF DATA PLATFORMS: Francesco Gadaleta, Francesco reflects on the changing role of the data scientist in an organisation. Data platforms have evolved and will continue to do so at a pace, but how can data scientists help organisations adapt to take advantage of these ongoing advancements? Francesco explains the solution isn’t always as simple as integrating the latest platform. The work of the Data Scientist has changed in recent years. While it has improved for some, it’s probably degraded and become even more frustrating for others. For example, several of the tasks that Data Scientists performed a decade or so ago are no longer needed because there are better tools, better strategies, better platforms – and definitely better architectures. Read the full blog, click on the link below; https://lnkd.in/dqager9a #DataScienceTalent #blog #EvolutionOfDataPlatforms
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Dataiku placed highest for all three Use Cases — expert data science, line of business, and fusion teams) in this essential companion piece to the Gartner Magic Quadrant for Data Science and ML Platforms. https://lnkd.in/eQHzdT53
Dataiku Placed Highest for All 3 Use Cases in Gartner Critical Capabilities Report
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📊 Elevate your data science journey! Explore effective profiling, quality assessment, and experimentation for strategic business alignment. Learn how synthetic data and quality hacks revolutionize insights. Propel your organization towards data-driven success. Visit www.datadrone.biz for expert guidance. #DataScience #DataQuality #Experimentation 🚀
Elevating Data Science: Effective Profiling, Quality Assessment, and Experimentation
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Senior Marketing Executive/ Manager & Designer of The Data Scientist Magazine at Data Science Talent Ltd
In our Latest Blog post; EVOLUTION OF DATA PLATFORMS: Francesco Gadaleta, Francesco reflects on the changing role of the data scientist in an organisation. Data platforms have evolved and will continue to do so at a pace, but how can data scientists help organisations adapt to take advantage of these ongoing advancements? Francesco explains the solution isn’t always as simple as integrating the latest platform. The work of the Data Scientist has changed in recent years. While it has improved for some, it’s probably degraded and become even more frustrating for others. For example, several of the tasks that Data Scientists performed a decade or so ago are no longer needed because there are better tools, better strategies, better platforms – and definitely better architectures. Read the full blog, click on the link below; https://lnkd.in/dHFCpkEB #DataScienceTalent #blog #EvolutionOfDataPlatforms
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💡 Data leaders are now planning for the upcoming year, so it’s the perfect time to decide which data science events you’d like to attend. 👉 Check out this (almost) exhaustive list of data science conferences for managers and see which ones pique your interest! https://jb.gg/83mptl
Top Data Science Conferences for Managers in 2024: An (Almost) Exhaustive List | The Datalore Blog
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In our Latest Blog post; EVOLUTION OF DATA PLATFORMS: Francesco Gadaleta, Francesco reflects on the changing role of the data scientist in an organisation. Data platforms have evolved and will continue to do so at a pace, but how can data scientists help organisations adapt to take advantage of these ongoing advancements? Francesco explains the solution isn’t always as simple as integrating the latest platform. The work of the Data Scientist has changed in recent years. While it has improved for some, it’s probably degraded and become even more frustrating for others. For example, several of the tasks that Data Scientists performed a decade or so ago are no longer needed because there are better tools, better strategies, better platforms – and definitely better architectures. Read the full blog, click on the link below; https://lnkd.in/dSi3DHwk #DataScienceTalent #blog #EvolutionOfDataPlatforms
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Expert in building Data Teams | Supporting high-growth companies with Technology and Data recruitment | Bridging Gaps Between Data Scientists, Engineers, and Analytics Specialists | Account Management | Germany | US | UK
In our Latest Blog post; EVOLUTION OF DATA PLATFORMS: FRANCESCO GADALETA Francesco reflects on the changing role of the data scientist in an organisation. Data platforms have evolved and will continue to do so at a pace, but how can data scientists help organisations adapt to take advantage of these ongoing advancements? Francesco explains the solution isn’t always as simple as integrating the latest platform. The work of the Data Scientist has changed in recent years. While it has improved for some, it’s probably degraded and become even more frustrating for others. For example, several of the tasks that Data Scientists performed a decade or so ago are no longer needed because there are better tools, better strategies, better platforms – and definitely better architectures. Read the full blog, click on the link below; https://lnkd.in/e3dJNMZG #DataScienceTalent #blog #EvolutionOfDataPlatforms
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Harnessing data science for business growth often hits a roadblock: aligning tech expertise with business goals. This article delves into bridging this gap, ensuring data models deliver tangible value. Especially in times like this, we want to optimize our resources and get the most out of our Data. If you read the article, please share your thoughts... https://lnkd.in/depzBYqK
Why Isn’t It Working? Data Science, Business Understanding – and Everything In Between - BLeader
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