The evolving landscape of enterprise data management has seen significant transformation with the introduction of AI and generative AI technologies. Informatica's Intelligent Data Management Cloud (IDMC) with its Claire Copilot illustrates how these advancements are streamlining data
Deciding whether to build or buy a Customer Data Platform (CDP) is a critical decision for enterprises, weighing factors such as technical expertise, industry-specific needs, and organizational readiness. Alongside this, the challenge of integrating Artificial Intelligence (AI) to unlock deeper
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
