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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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/dSi3DHwk #DataScienceTalent #blog #EvolutionOfDataPlatforms
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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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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/ezEQzPjh. #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/dHFCpkEB #DataScienceTalent #blog #EvolutionOfDataPlatforms
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📖New GigaOm Blog: Unleash Your Unstructured Data: A Strategic Playbook by Whit Walters ✨ Read The Full Blog Now! https://hubs.la/Q02rmRpn0
Unleash Your Unstructured Data: A Strategic Playbook
gigaom.com
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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/e3dJNMZG #DataScienceTalent #blog #EvolutionOfDataPlatforms
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You’ve collected your data and know how to manage it, but now what? 🤷 To unlock your data's true potential, you need to refine and reshape it. This requires a data science platform that facilitates seamless data processing and transformation. Discover how Tanzu can help prepare your raw data for analysis in part three of our Data Science Platform series: https://ow.ly/v6Q550RoswA
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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
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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
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Creating Creators; Georgetown Professor & Founder of Manuscripts
1moGreat insights! It's fascinating to see how crucial domain expertise and collaboration with scientists are in creating effective data products, especially in life sciences. This approach ensures that the complex workflows are accurately addressed. Looking forward to diving into the full article! 🌟😊