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Top Data Analytics Trends Shaping 2025

Pickl AI

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. billion in 2022, it is projected to surge to USD 279.31

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Journey to AI blog

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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Webinar: Unlocking OSINT’s potential with visual link analysis

Cambridge Intelligence

From noise to insight: OSINT visual link analysis for economic crime Date: Tuesday 21 January 2025 Time: 3pm GMT | 10am EST | 4pm CET | 5pm IST Location: Online event, hosted on Microsoft Teams Join us for a live session to see how Videris link analysis platform helps analysts to: Overcome data silo challenges Achieve a 360-degree view of complex scenarios (..)

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5 Ways Data Leaders Can Improve Data Reliability

Dataversity

Businesses today collect and store an astonishing amount of data. According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability.

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Ensure Success with Trusted Data When Moving To The Cloud

Precisely

Gartner estimates that 85% percent of organizations plan to fully embrace a cloud-first strategy by 2025. As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. To learn more, read our ebook.

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Five Reasons Automation Is Key to Data Governance

Precisely

Additinoall, by automating data lineage within the data governance framework, as data passes through various systems and platforms a complete audit trail for the data lifecycle is captured – ensuring more accurate and efficient regulatory reporting. Flawed data can be immensely harmful to an organization.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.