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DataRobot Flies Higher with Zepl Acquisition, Adding Cloud Native Notebook Solution to AI Platform

DataRobot

At DataRobot, we have always known that data science is a team sport. Data Exploration, Visualization, and First-Class Integration. Zepl brings to the party some new ways for users to depict their data with flexible and attractive charts and graphs, supplementing the best-in-class insights DataRobot has long been known for.

Cloud 98
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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

I list a few examples from the media industry, but there are are numerous new startups that collect aerial imagery, weather data, in-game sports data , and logistics data, among other things. If you are an aspiring entrepreneur, note that you can build interesting and highly valued companies by focusing on data.

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Why You Need ML Ops for Successful Innovation

TIBCO - Connected Intelligence

Once you’ve done that, assemble a cross-functional team consisting of business experts, data science, data engineers, and IT and communicate to make sure everyone is in alignment and working toward the same goal. Optimize People, Processes, and Technology: Data science is a team sport.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Either they try to build perfect products or worse use their time to perfect their code by excessive re-factoring and re-engineering. long-lived teams get bored very quickly due to the repetitive and homogeneous nature of work which they channel out by spending time on things like open source projects.

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Top Data Science experts you should know about

Apiumhub

His company Team Data Science has courses and tools to help people get into data engineering. His goal is to provide all the resources needed to learn data engineering and also provide a platform for collaboration. Ken is a master in sports analytics.

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Solve Complex Problems with Data Science and ML with TIBCO

TIBCO - Connected Intelligence

TIBCO supports this success by enabling the following imperatives: Make Data Science a Team Sport. To democratize, collaborate, and operationalize data science and machine learning (ML) across your entire organization, you need to make data science a team sport. Enable Innovation with Open Source.