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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

As part of the updates, Salesforce has integrated vector database support via the Data Cloud Vector Database feature, which makes it easier for the Data Cloud to handle diverse data types. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

Analysis 722
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The Role of Data Analytics in Football Performance

Smart Data Collective

Understanding the tactical aspects of the game becomes easier with data analysis. This data-driven approach enhances decision-making on the field and increases the chances of success. Enhancing Player Performance through Data Analysis Data collection and analysis have a significant impact on individual player performance.

Sports 208
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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

Datapine Blog

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks?

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Embracing Analytical Sandboxes: A Roadmap to Data-Driven Innovation

Athena Solutions BI

As the data and analytics space evolves and the significance of data science in business grows, many organizations need a safe environment to connect their data to the real world. As organizations are flooded with a wealth of data, their traditional systems fail to deliver the insights.

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Embracing Analytical Sandboxes: A Roadmap to Data-Driven Innovation

Athena Solutions BI

As the data and analytics space evolves and the significance of data science in business grows, many organizations need a safe environment to connect their data to the real world. As organizations are flooded with a wealth of data, their traditional systems fail to deliver the insights.

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Metadata and AI: merge data from multiple sources efficiently

IBI

The sheer volume of data is staggering, but the core challenge of data integration is to effectively and accurately match similar data coming from disparate sources or labeled slightly differently. That makes categorization and data analysis time-consuming, inefficient, and unwieldy.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

Datapine Blog

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.