Market 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....
Sustainability 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 These outdated processes produce error-prone results that...
Introduction:Data center infrastructure serves as the foundation for the world’s digital operations, supporting everything from cloud services and enterprise applications to data storage and security. As organizations continue to migrate toward data-driven models, the role of robust and scalable data center infrastructure has become critical to maintaining efficiency, reliability, and...
Companies 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...
Data 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...
Data 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...
Emergen 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...
In 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....
As organizations continue doubling their reliance on data, the question of having credible data becomes more and more important. However, with the increase in volume and variety of the data, high quality and keeping track of where the data is coming from and how it is being transformed become essential for building credibility with the data. This blog is about data quality and data lineage and...
Data has always been the backbone of business operations, highlighting the significance of data and analytics as essential business functions. However, a lack of strategic decision-making often hampers these functions. This challenge has paved the way for new technologies like data fabric and data mesh, which enhance data reuse, streamline integration services, and optimize data pipelines....
English
Français
Español
Português
Deutsch
Türkçe
Nederlands
Italiano
Русский
Română
Português
Ελληνικά
Tiếng Việt