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AI and machine learning technologies play a significant role in driving the ECM industry. Organizations are rapidly transitioning toward AI-driven solutions to automate content categorization, metadata tagging, and content retrieval. Machine learning can help analyze and interpret unstructured data, making ECM systems more efficient in content management and search capabilities. To leverage these benefits of AI, companies in the ECM space are introducing novel solutions with advanced capabilities to suffice the growing market demand, thus transforming market dynamics.
For instance, in July 2023, KnowledgeLake, a forward-thinking Enterprise Content Management (ECM) platform built on cloud-native architecture, introduced KnowledgeLake StreamLine Solutions™, a revolutionary suite of solutions designed to revolutionize how businesses address intricate operational issues. With the release of KnowledgeLake StreamLine Solutions, the company positions itself as a leader in the field of enterprise content management (ECM), offering advanced, secure, and context-aware Intuitive AI™ that is highly accurate.
The shift towards remote work and the increasing need for mobile access to corporate content are among the key factors driving the demand for enterprise content management (ECM) market. According to Upwork, it is projected that by 2025, approximately 32.6 million Americans, constituting around 22% of the workforce, will be engaged in remote work arrangements. This forecast indicates a steady but ongoing transition towards remote work. Intriguingly, this trend aligns with the preferences of workers, as an astonishing 98% of them have expressed their desire to work remotely, even if only for part of their work time, suggests Buffer, an SMM software startup for growing brands.