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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

First, data and analytics teams never were comfortable ceding control up to business teams. They weren’t confident that business users could make sense of huge data sets, and felt that even business users who were trained in BI tools didn’t use them often enough to retain their skills. Business teams still had to request data.

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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. Data Architect, Data Lake & AI/ML, serving strategic customers.

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Data consent + privacy: What that means for digital transformation of your business

Tableau

Chief Technology Officer, Tableau. The Future of Data & Analytics is a new series by Tableau CTO Andrew Beers, where he connects with industry leaders, researchers, and innovators to discuss the biggest questions shaping the future of data and analytics. Tableau Zen Master, and Ethicist. Andrew Beers.

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Data consent + privacy: What that means for digital transformation of your business

Tableau

Chief Technology Officer, Tableau. The Future of Data & Analytics is a new series by Tableau CTO Andrew Beers, where he connects with industry leaders, researchers, and innovators to discuss the biggest questions shaping the future of data and analytics. Tableau Zen Master, and Ethicist. Andrew Beers.

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The Modern Data Stack Explained: What The Future Holds

Alation

This shift addresses a growing demand for data access, which the modern data stack enables with cloud-based services and integration. There has also been a paradigm shift toward agile analytics and flexible options, where data assets can be moved around more quickly and easily, and not locked into a single vendor.

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Predicting the Future of Data Science

Pickl AI

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.