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- AI Data Management Market Insights Reveal Fast GrowthThe global AI data management market is poised for a major transformation, with recent market research revealing an impressive valuation of USD 25.67 billion in 2023. The market is projected to surge to USD 31.56 billion in 2024 and is expected to skyrocket to USD 143.89 billion by 2031, growing at a compound annual growth rate (CAGR) of 24.20 percent over the forecast period. This significant...0 Bình luận 0 Chia sẻ 25 Lượt xem
- AI Data Management Market Trends 2024-2032Market Outlook: The AI Data Management Market size is expected to reach USD 136.7 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 23.00% during the forecast period. This growth is attributed to the increasing adoption of AI and machine learning (ML) technologies across various industries, including healthcare, finance, retail, and manufacturing....0 Bình luận 0 Chia sẻ 7119 Lượt xem
- AITech Interview with Frederik Steensgaard, CEO at BeCauseSustainability has become a key focus for many companies. What do you see as the most significant challenges that businesses face when trying to manage and streamline their sustainability data? Without a doubt, it is the reliance on expensive, inefficient and siloed manual processes to collect and distribute sustainability data. These outdated processes produce error-prone results that...0 Bình luận 0 Chia sẻ 8416 Lượt xem
- Automotive Data Management and Cloud Platform Market Share & Forecast 2025–2030: Insights & DriversMarket Size, Growth & Valuation (2025-30) Automotive Data Management and Cloud Platform Market size was valued at around USD 31 billion in 2024 and is projected to reach USD 48 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 8.11% during the forecast period, i.e., 2025-30. View Full Report -...0 Bình luận 0 Chia sẻ 615 Lượt xem
- Data Governance 2.0: How Metadata-Driven Data Fabric Ensures Compliance and SecurityCompanies are dealing with overwhelming amounts of data, and this data must be governed, compliant, and secure, especially when working in the financial, healthcare, and insurance sectors. As the complexity of data environments increases, traditional data governance approaches largely fail to address these challenges adequately and lead to the emergence of what many researchers refer to as Data...0 Bình luận 0 Chia sẻ 8968 Lượt xem
- Discover the Top 5 Data Lineage Tools of 2024Data lineage tools are sophisticated software designed for complete data management within the organizational context. These tools’ primary role is to systematically record and illustrate the course of data elements from their source through various stages of processing and modification, ultimately reaching the pinnacle in their consumption or storage. They can help your organization to...0 Bình luận 0 Chia sẻ 7124 Lượt xem
- Enhancing Data Governance and Lineage for Quality and ComplianceData veracity and quality are equally essential in the current world that is characterized by unbounded data generation and utilization. Analyzing the information being used in the operations of companies today, it is apparent that businesses have developed a high dependence on data, hence the need to make it accurate and reliable. Two ideas central to this effort are data governance and...0 Bình luận 0 Chia sẻ 8721 Lượt xem
- Enterprise Data Management Market Revenue, Statistics, Industry Growth and Demand Analysis Research Report by 2028Emergen Research's latest market research report focuses on the global Enterprise Data Management market , and the report provides in-depth analysis of each of its major segments. The research includes a thorough examination of the North American, European, Latin American, Asian Pacific, Middle Eastern, and African markets for Enterprise Data Managements. This paper looks at other...0 Bình luận 0 Chia sẻ 8082 Lượt xem
- Exploring the Emergence of Data Lakehouse ArchitectureIn this digital world, data is an important asset; however, organizations are searching for storage solutions that will help them manage big data’s volume, latency, resiliency, and data access requirements. Traditionally, companies used existing tech stacks that delivered the same capabilities as a warehouse or lake but had adjustments in handling massive amounts of semi-structured data....0 Bình luận 0 Chia sẻ 7576 Lượt xem
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