M-Files Announces GenAI Enhancements and M-Files Connector for Copilot to Increase End-User Value

M-Files Announces GenAI Enhancements and M-Files Connector for Copilot to Increase End-User Value

Industry Innovator Strengthens Position as GenAI Knowledge Work Automation Leader AUSTIN, Texas—May 16, 2024—M-Files, the leader in knowledge work automation, today announced new enhancements to its generative artificial intelligence (GenAI) technology, M-Files Aino. Unveiled during M-Files IMPACT, the company’s global conference for customers and partners, the new capabilities help users increase productivity by drawing insights…

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Transforming Life Sciences Through Knowledge Work Automation

The transformation power of technology is intertwined with efficiency and progress. Despite emerging challenges, automation offers practical efficiencies and benefits the life sciences sector are starting to consider in future growth planning and mapping workflow requirements Knowledge work automation is at the heart of this digital transformation. It redefines how tasks are executed across various…

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Knowledge Work Automation Will Change Compliance

All companies rely on effective compliance to protect data and streamline business operations. The advantages of automating knowledge work are infinite. Companies can implement a comprehensive database to store institutional knowledge. This approach helps organizations minimize the risk of cyberattacks, avoid document mismanagement, and enhance workflows in every department. Organizations can then focus on superior…

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Talent Acquisition and Retention: A Knowledge Work Automation Future

A shift is underway in talent acquisition and retention. Knowledge work automation is shaping the future of talent management and changing how businesses operate. Knowledge workers across multiple industries grapple with the challenges of ensuring security and compliance while operating efficiently. Fast-paced environments require standardized processes and technologies to reach their business goals. The Age…

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AI, Information Management, and the Future of Collaboration

Joel and Ethan Coen. Elton John and Bernie Taupin. Doritos and Taco Bell. Collaborations lead to groundbreaking, creative work. But the next game-changing collaboration will be between knowledge workers and robots—specifically, AI chatbots. The future of collaboration is closely bound to the integration of Artificial Intelligence (AI) and information management. According to a report by…

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Document Management Software Integration

Enterprise software is about efficiency. Different solutions must be able to “talk” to one other. Many business processes must integrate or interact with data across multiple software programs. Knowledge workers need to complete these processes without reentering or reformatting data. ERP, CRM, and Document Management Systems Enterprise resource planning (ERP) systems are universal across business,…

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Merging Structured and Unstructured Data for Knowledge Work

Organizations depend heavily on data to make informed decisions, create strategies, and promote innovation. Data, broadly classified into structured and unstructured, offer valuable insights that drive efficiency and customer engagement. Structured data are machine readable and can be grouped efficiently, simplifying analysis and retrieval. Unstructured data lack organization and exist in emails, social media, and…

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Data Security and Knowledge Work Automation

In 2023, the number of knowledge workers in the United States was estimated to be more than 100 million, with more than 1 billion knowledge workers globally. These highly trained workers drive value for organizations by applying their creative and problem-solving skills. With the rise of generative AI, there’s been a renewed push to automate…

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