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E-Book: Key Trends in Business Intelligence

By: IBM View more from IBM >>

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How streaming analytics offers business value

By: SAS

Type: White Paper

Many analytics and BI tools limit your ability to get insight in time to make a critical business decision. Once you detect a pattern, you have to work with a data scientist to choose data sets for more analysis, clean the data of noise, and code a query, all while the data becomes less and less relevant with passing time.

This resource explains streaming analytics and describes how it can enable real-time decision-making based on current evidence. Learn how you can resolve business problems more quickly and make data-driven decisions. 

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    Why quality data is key for maximizing your AI initiatives

    By: Alation

    Type: Webcast

    Generative AI (Gen AI) is already helping organizations to make their products smarter and provide better experiences for their customers. In fact, according to McKinsey, by 2025, Gen AI will play a role in 70% of text and data-heavy tasks.

    But there are challenges too, including concerns about how Gen AI is being implemented – especially when it comes to data privacy and accuracy. Without quality data, it’s impossible to be sure that your AI models can be trusted.

    So how can you establish reliable AI workflows and get the most out of your investments?

    Tune into this webcast to learn how data intelligence as a solution can help you overcome bad data and build a healthy foundation for your AI projects.

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    Tutorial: Predictive Modeling with Snowpark

    By: AllCloud

    Type: Blog

    Enterprises today are putting all kinds of resources behind initiatives like modern data science, and machine learning. By doing this, they have found ways to gain insights into possible future business outcomes.

    In this blog, you will get an in-depth look at a new developer experience that allows data engineers, data scientists and analytic engineers to all write code in their preferred language and run it directly in your data warehouse.

    Read on to learn more about predictive modeling, and how it can be achieved in such a way that your IT teams no longer must export your data to an outside platform.

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