AI 100 Trailblazer - M-Files: Unleash the benefits of knowledge work automation and superior GenAI experiences

Antti Nivala, founder and CEO, M-Files, was profiled as an AI 100 Trailblazer in the July 2024 issue of KMWorld. In the feature, "M-Files: Unleash the benefits of knowledge work automation and superior GenAI experiences," Antti shares how the advancement of GenAI is revolutionizing knowledge work, with M-Files at the forefront with its knowledge work automation platform.

From document creation and management, to workflow automations, supporting security & compliance, and more, M-Files leverages artificial intelligence (AI) and automates processes to remove the need for time-consuming tasks that require human interaction.

M-Files' GenAI assistant, M-Files Aino, provides real-time, context-aware support to process large amounts of data. This problem-solving tool within M-Files helps knowledge workers tackle complex queries and reach conclusions faster among many benefits.

M-Files Aino also features a multi-language model, summarizing documents of any language and saving these insights as searchable metadata.

The metadata foundation of M-Files powers superior AI experiences by creating a unique, client-specific information model, providing secure and high-quality results. M-Files provides organizations with the necessary components for successful AI deployment: connectivity, confidentiality, and curation.

• Connectivity: M-Files Aino seamlessly integrates data from all main storage systems and software platforms, automatically classifying it. This supplies AI with the high-grade data it needs to produce significant value.
• Confidentiality: M-Aino Files places a high priority on data security, ensuring that all interactions are in line with company policies. Its advanced metadata tagging enables detailed access controls, using the highest standards of data security and regulatory compliance.
• Curation: M-Files ensures that AI has the most current information by managing versions automatically. It also governs content and provides precise business context. Adding context to data provides helps search engines and AI produce more accurate results compared to traditional methods.

M-Files was recently named to KMWorld's AI 100 List in 2024. This year's issue - "The companies empowering intelligent knowledge management," brought attention to innovative knowledge management (KM) vendors that are infusing their offerings with AI systems. With its metadata-driven architecture, M-Files also offers competitive advantages beyond textual information.

As stated in a recent article by KMWorld, "Gaining competitive advantage from non-textual information (kmworld.com)," Antti Nivala, CEO and founder of M-Files, shared examples of the non-text based data gen AI can provide, such as automatic descriptions of images.

“The systems that store that information, as part of the knowledge base of the organization, should be capable of making that content discoverable, perhaps by producing a textual description of the picture itself, or at least coming up with keywords or themes or topics to enable returning that image as a response to a user’s search query,” Nivala commented. Generative AI models can also create bespoke visual elements for various purposes. From image generation, to custom dashboards, visual data sets can help in monitoring business metrics such as sales targets.

Another example of non-textual data capabilities is audio data. Audio data has gained momentum as a way of monitoring customer service representatives, recording internal meetings, and more. Audio data involves speech-to-text capabilities, allowing firms to analyze and categorize the data via extraction. These capabilities are becoming increasingly accessible. “Speech-to-text or video-to-text transcriptions—we see it in video remote meeting tools like Teams or Zoom,” Nivala remarked.

To read the latest insights from Antti Nivala on AI and information technology, please visit M-Files on social media, and our latest press releases.