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

Smart Data Collective

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Self-service BI. Collaborative and Integrative BI.

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Data trends that will impact you in 2022

Tableau

Responsible organizations will proactively align data and AI efforts with human values. This becomes a requirement for the ethical use of data and mitigating risk. History shows that smart, ethical data-use and do-no-harm policies lead to greater innovation. . Flexible governance.

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Data trends that will impact you in 2022

Tableau

Responsible organizations will proactively align data and AI efforts with human values. This becomes a requirement for the ethical use of data and mitigating risk. History shows that smart, ethical data-use and do-no-harm policies lead to greater innovation. . Flexible governance.

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Navigating the Future of AI in Energy: Trends, Challenges, and Opportunities

Cprime

– Generative AI (Gen AI) is transforming the energy and materials sector by enhancing efficiency, driving innovation, and supporting sustainability efforts through advanced data analysis and predictive modeling. How does Gen AI improve predictive maintenance in the energy sector?

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Data Vault 2.0: What You Need to Know

Astera

It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. With its ability to adapt to changing data types and offer real-time data processing capabilities, it empowers businesses to make timely, data-driven decisions.

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Data Warehouse vs. Database: Understanding the Differences

Astera

Think of a database as a digital filing cabinet that allows users to store, retrieve, and manipulate data efficiently. Databases are optimized for fast read and write operations, which makes them ideal for applications that require real-time data processing and quick access to specific information.

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The Ultimate Guide to Enterprise Data Warehouse

Astera

Efficient Collaboration: By centralizing data, EDWs foster cross-departmental collaboration. Teams can seamlessly access, share, and jointly analyze data, facilitating better alignment, problem-solving, and innovation throughout the organization. Conclusion Looking ahead, the future of EDWs appears promising.