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Data scientist

Dataconomy

Qualifications and required skills A robust educational foundation and skill set are essential for data scientists: Educational background: Most data scientists have a bachelor’s degree in a related field, with a substantial portion holding masters degrees.

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New AI Applications Unlock the Value of AI

DataRobot

Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting , information about our expanded support for deep learning , or maybe just some ideas on how you can automate some of the data science tasks you dread.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

These so-called “citizen data scientists” remained a roadblock between business users and data — and between data and decision making. Business teams still had to request data. As a result, “super users” and business analysts emerged.

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Build generative AI–powered Salesforce applications with Amazon Bedrock

AWS Machine Learning Blog

In Part 1 and Part 2 , we show how Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker’s tools to build, train, and deploy models to endpoints hosted on SageMaker. Ravi Bhattiprolu is a Sr. Partner Solutions Architect at AWS.

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Predicting the Future of Data Science

Pickl AI

The Rise of Citizen Data Scientists The concept of citizen Data Scientists is gaining momentum as organisations strive to empower non-technical employees with the tools and knowledge needed to analyse data effectively. Additionally, familiarity with cloud platforms (e.g.,

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Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

AWS Machine Learning Blog

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. Ravi Bhattiprolu is a Sr. Partner Solutions Architect at AWS.

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The Modern Data Stack Explained: What The Future Holds

Alation

It began when some of the popular cloud data warehouses — such as BigQuery, Redshift , and Snowflake — started to appear in the early 2010s. Later, BI tools such as Chartio, Looker, and Tableau arrived on the data scene. Powered by cloud computing, more data professionals have access to the data, too.