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Emerging Data Science Trends in 2025 You Need to Know

Pickl AI

Summary: In 2025, data science evolves with trends like augmented analytics, IoT data explosion, advanced machine learning, automation, and explainable AI. These innovations empower businesses to make faster, smarter decisions while ensuring transparency and scalability.

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Utilize smart technologies to make smart investments

Dataconomy

In the modern era of data-driven decision-making, business intelligence projects have become the cornerstone for organizations aiming to harness their data for strategic insights. There are perhaps thousands of different approaches to the analysis of data, each with the potential to create new business intelligence projects.

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Self-service predictive business insights with Amazon SageMaker for Tableau

Tableau

Dylan Tong, Global Segment Lead Architect, AI Augmented Analytics, AWS. The ability to forecast demand and predict behavior can drive business growth, reduce churn and attrition, and optimize processes and supply chains. . Formulate machine learning (ML) problem. May 27, 2021 - 2:29pm. May 27, 2021. Madeleine Corneli, Sr.

Tableau 102
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Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East…

ODSC - Open Data Science

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Register for free!

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How to Leave Your BI Dashboards Behind and Discover Real Insights

Dataversity

There is currently a massive insights gap caused by silos between business intelligence (BI) dashboards and machine learning (ML) and AI tools that is preventing organizations from capturing new business opportunities hidden in their data. Click to learn more about author Ajay Khanna.

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Self-service predictive business insights with Amazon SageMaker for Tableau

Tableau

Dylan Tong, Global Segment Lead Architect, AI Augmented Analytics, AWS. The ability to forecast demand and predict behavior can drive business growth, reduce churn and attrition, and optimize processes and supply chains. . Formulate machine learning (ML) problem. May 27, 2021 - 2:29pm. May 27, 2021. Madeleine Corneli, Sr.

Tableau 52
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Top Data Analytics Trends Shaping 2025

Pickl AI

This democratisation of data access empowers cross-functional teams to collaborate effectively on analytics initiatives. Feature Stores for AI/ML Feature stores play a vital role in operationalising Machine Learning (ML). They centralise and standardise the creation, storage, and reuse of featureskey inputs for ML models.