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
TetraScience’s Post
More Relevant Posts
-
The transformative capabilities of data science are limitless, and its influence on business prosperity is indisputable within the current competitive arena. Leveraging this wealth of information can serve as the linchpin to maintaining a competitive edge and attaining enduring growth. Learn more! 👇 https://loom.ly/vTMZSeg #datascience
Transforming Data Science Information into Strategic Gold - Digital Hill Multimedia, Inc.
https://www.digitalhill.com
To view or add a comment, sign in
-
Experienced Leader in Data and Analytics | Strategic Reporting & Analytics, Decision Science | Leadership, Team Management | Maximizing Efficiency & Compliance
I recently read the article about Howard Friedman's Winning with Data Science. It is an insightful and accessible guide, shedding light on how data science can be leveraged to make informed decisions and drive business success. Understanding the work of a data scientist is crucial for leaders in our increasingly data-driven world. This book provides practical knowledge about how data scientists extract meaningful insights from complex datasets to inform strategic decisions. What particularly resonated with me was the emphasis on communication between executives and their data teams. Clear communication ensures that pertinent questions are addressed, leading to more impactful outcomes. Whether you're a seasoned professional or new to the field, this book is an excellent resource for anyone looking to maximize their use of data in decision-making processes. I know I plan to read it!!!! #DataScience #BusinessIntelligence #DecisionMaking
Great article. Quoting Howard Friedman "Data scientists have a responsibility to communicate well, to get away from the technical jargon, and to make sure that the customer understands the capabilities and which solutions map to which problems." https://lnkd.in/gUMxzGRA
Author Talks: Howard Friedman on getting the most from your data science team
mckinsey.com
To view or add a comment, sign in
-
📊 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
https://datadrone.biz
To view or add a comment, sign in
-
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
To view or add a comment, sign in
-
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
Data Processing and Transformation: Seamless Data Preparation for Powerful Models
tanzu.vmware.com
To view or add a comment, sign in
-
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
To view or add a comment, sign in
-
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
https://bileader.co.il
To view or add a comment, sign in
-
💡 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
blog.jetbrains.com
To view or add a comment, sign in
-
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
To view or add a comment, sign in
-
This post is the first in a series dedicated to the art and science of practical data mesh implementation. The series, that me and Max worked on, attempts to bridge the gap between the tenets of data mesh and its real-life implementation by deep-diving into the functional and non-functional capabilities essential to a working operating model, laying out the decisions that need to be made for each capability, and describing the key business and technical processes required to implement them. Hope you enjoy.
The art and science of data product portfolio management | Amazon Web Services
aws.amazon.com
To view or add a comment, sign in
33,120 followers