New AIIM Report by Deep Analysis Highlights the Challenges and Opportunities in AI Adoption and Unstructured Data Management

September 10, 2024

FOR IMMEDIATE RELEASE

New AIIM Report by Deep Analysis Highlights the Challenges and Opportunities in AI Adoption and Unstructured Data Management

SILVER SPRING, MD – September 10, 2024 – The Association for Intelligent Information Management (AIIM), in collaboration with M-Files and Deep Analysis, is proud to announce the release of the "Market Momentum Index: AI and Unstructured Data Management" report. This groundbreaking research explores the role of unstructured data and the software managing it in the enterprise adoption of AI.

With contributions from over 500 U.S.-based enterprises across key industries—including Financial Services, Manufacturing, and Utilities—the report sheds light on the current state of AI adoption, the readiness of unstructured data for AI-driven initiatives, and the tools and strategies being utilized to overcome challenges in security, compliance, and data accuracy.

Key findings include:

Organizations mostly feel prepared for AI and 92% organizations report that their organizations have identified at least one existing process that they believe will be improved with the introduction of AI.
The survey suggests strong agreement that AI will impact how unstructured data is managed going forward.
Organizations report that they have located the knowledge bases of information to support their AI projects and are confident in their quality and accuracy. Those knowledge bases of information are contained in a wide range of repositories, with respondents typically saying that they are spread across multiple applications.
Despite commonly reported concerns about AI “hallucinations,” survey respondents cited security and access compliance (43%) and performance and accuracy (40%) as the biggest factors preventing enterprises from effectively leveraging AI.
Organizations said that typically 67% of their unstructured data resides in cloud storage, accounting for 57% of their overall storage volume. Only 4% of those organizations are seeing any decrease in costs of managing that unstructured data, while 55% said their associated costs are increasing.
Software (50%) rather than storage (31%) accounts for most of that cost increase for managing unstructured data, with the remainder made up by spending on employees and external skills.
Enterprise automation (69%) and knowledge management (61%) software are the two largest categories within that increased software spend. RPA and low/no code systems are the lowest priorities (both at 24%).

As organizations navigate the complexities of AI and unstructured data management, the findings of this report underscore the critical role of information management. Tori Miller Liu, President and CEO of AIIM, emphasizes the importance of a robust foundation for AI success:

"To fully realize the transformative potential of AI, organizations must prioritize the management of unstructured data to ensure the availability of accurate, current data,” said AIIM President & CEO Tori Miller Liu, CIP. “This landmark study highlights a clear connection between unstructured data management and AI success.”

AIIM, in partnership with M-Files and Deep Analysis, invites business leaders and information management professionals to a live webinar on September 19th at 1:00 P.M. EDT, titled “Learn How to Harness the Transformative Power of AI for Information Management.” The event will feature insights from AIIM President & CEO Tori Miller Liu, CIP, Laura Carson, M-Files CMO, and Alan Pelz-Sharpe, founder and principal analyst of Deep Analysis. Attendees will explore how unstructured data management is influencing AI adoption and how to overcome the challenges identified in the report.

For a detailed analysis of the data and trends shaping AI and unstructured data management, download the full "Market Momentum Index: AI and Unstructured Data Management" report.

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About the Association for Intelligent Information Management

Founded in 1944, the Association for Intelligent Information Management (AIIM) is a nonprofit organization serving information leaders in over 67 countries worldwide. AIIM's vision is to create a world where every organization benefits from intelligent information and data management to achieve better business outcomes. AIIM helps information leaders manage and prepare unstructured data for AI and automation by providing advice, certification, training, and peer-to-peer support. Through practical and approachable resources, AIIM enables organizations to leverage their information assets effectively, ultimately leading to improved business performance and success.

About M-Files

M-Files is the leading platform for knowledge work automation. With the M-Files platform, knowledge workers can find information faster, work smarter, and achieve more. M-Files features an innovative metadata-driven architecture, embedded workflow engine, and advanced artificial intelligence. This enables customers to eliminate information chaos, improve process efficiency, and automate security and compliance.

About Deep Analysis

Deep Analysis is a leading industry analyst firm specializing in providing innovative insights and strategic advisory services for enterprises navigating the complexities of digital transformation. With a focus on emerging technologies, including AI, automation, blockchain, and data management, Deep Analysis delivers in-depth research, market analysis, and actionable recommendations tailored to the unique needs of businesses across various industries. Our team of seasoned analysts leverages a wealth of experience and a global perspective to empower organizations with the knowledge and foresight needed to make informed decisions, drive innovation, and maintain a competitive edge in an ever-evolving market landscape.

Contact

Shelly Strickland
AIIM International
hello@aiim.org