Posts Tagged ‘Industry – Insurance’
Partner Spotlight – Indixio Inc.
With M-Files, Mondi was able to standardize their document management and improve the efficiency with the flexibility that M-Files offers.
Read MorePartner Spotlight – IPM
With M-Files, Mondi was able to standardize their document management and improve the efficiency with the flexibility that M-Files offers.
Read MoreM-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…
Read MoreStructured data and automation essential to address escalating global risks, says Yohan Lobo, M-Files
“To adapt to a heightened threat landscape, insurers must consider how their information is organised, and whether this allows them to quickly react to market changes,” says Yohan Lobo, Industry Solutions Manager, Financial Services, M-Files. As the insurance industry acts as a financial safety net for individuals, companies or institutions impacted by an increasingly complex…
Read MoreEnabling Knowledge Workers with AI
Work Automation Powers Wealth Management
Wealth management firms are embracing digital transformation. Work automation is changing how financial advisors manage business. Artificial intelligence (AI) and automation will make it possible to do business efficiently and advance the quest to increase speed. Knowledge work automation replaces endless paperwork and improves productivity. Automating workflows allows wealth management firms to focus on advisory…
Read MoreKnowledge 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…
Read MoreTalent 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…
Read MoreWhite paper: Unlocking the Power of Generative AI with Microsoft 365
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…
Read MoreDocument 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,…
Read MoreMerging 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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