Chloe Maraina is passionate about creating compelling visual stories through the analysis of big data. She is our Business Intelligence expert with an aptitude for data science and a vision for the future of data management and integration. Can you provide an overview of what SAP S/4HANA Embedded
Clinical data management (CDM) has undergone remarkable advancements, particularly since the introduction of electronic data capture (EDC) systems in the late 20th and early 21st centuries. Initially, CDM involved manual processes replete with potential for error, which delayed clinical trials and
Edge computing is revolutionizing how data is processed by bringing it closer to its source. This transformational shift from relying solely on cloud-based data centers to localized data handling is proving advantageous for various sectors. As we delve into its implications, we observe how
The ever-increasing incorporation of artificial intelligence (AI) in various enterprises has underscored the need for revolutionary changes in data management and storage architectures. With AI adoption rapidly evolving, businesses face unparalleled data sprawl and the rising demands of
The evolution of data management strategies has led to the emergence of data lakehouses, which seamlessly integrate the capabilities of data lakes and data warehouses. This new architecture is revolutionizing how organizations manage, store, and analyze their vast quantities of data. By supporting
The staggering growth of digital data has presented an urgent need for innovative storage solutions, with projected volumes reaching an immense 180 zettabytes imminently. As traditional data storage mediums struggle to handle this explosion, attention has turned to DNA storage technology, which
