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Data scientist

Dataconomy

Data scientists play a crucial role in today’s data-driven world, where extracting meaningful insights from vast amounts of information is key to organizational success. As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant.

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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. Until now.

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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. At Alation, we believe self-service has three unique stakeholders: End users trying to discover data for decision making.

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Predicting the Future of Data Science

Pickl AI

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Automated Machine Learning (AutoML) will democratize access to Data Science tools and techniques.

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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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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. Einstein Studio is a gateway to AI tools on Salesforce Data Cloud.

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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.