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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

It is highly popular among companies developing artificial intelligence tools. This feature helps automate many parts of the data preparation and data model development process. It can improve experiment tracking, data collection and monitoring of model development.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Augmented analytics uses artificial intelligence to process data and prepare insights based on them. It allows feeding on more data, simplifying reporting and sharing and eliminating the unnecessary steps to get the feedback. Advantages: timely feedback on any issue and unpaired support from the Microsoft team.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Smart Data Modeling Another trend in data warehousing is the use of AI-powered tools for smart data modeling.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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Do you Need a Data Fabric?

Actian

Over the past few years, IT organizations are increasingly being asked to automate the systems and processes involved in integrating and preparing their data for reporting, leveraging things like active metadata, artificial intelligence (AI) / machine learning (ML) algorithms, and knowledge graphs. Do you Need a Data Fabric?

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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Insight Software

By incorporating features that analyze data, identify trends, and generate recommendations, applications can become more than just productivity tools; they can transform into strategic decision-making partners. This intuitive approach cuts through technical barriers, transforming even non-technical users into data-savvy decision makers.

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Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 

Astera

This would allow the sales team to access the data they need without having to switch between different systems. Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization.