GRM Information Management Leads Thinking on AI Tools That Inform Enterprise-Wide AI Deployment
Corporate AI Strategy Flawed Without Initial Document & Data Management Systems Focus
Jersey City, NJ, May 14, 2024 – Organizations today are often more focused on what artificial intelligence (AI) technologies to implement rather than in which operational area AI can be implemented in order to deliver the highest impact and best ROI, according to GRM Information Management. GRM Information Management is the market leader in implementing AI for document processing and Enterprise Content Management (ECM). By employing the GRM platform and associated AI capabilities, companies are able to create a central information hub for document and content processing that translates into a valuable base of corporate knowledge.
The Critical AI Entry Point
Companies need an entry point in their operations where AI can be applied to both generate new efficiencies as well as gain insights for informing an AI strategy across their enterprise, states a white paper from GRM Information Management. A logical AI entry point are the business’ digital document and data hubs where a trove of untapped intelligence and information exists. This aggregate intelligence can guide organizations on an AI implementation approach best customized to their needs and challenges.
Numerous AI technologies and tools can be deployed by businesses. These tools should first be used to better organize and analyze a company’s documents, data, and other content. This will result in insights and knowledge that can remove blind spots for making enterprise-wide AI investments.
Document Management’s Easy-to-Deploy AI
Corporate digital content and data centers, in fact, are areas where AI can be implemented with far shorter timelines and without algorithms requiring a lot of complex engineering. Today, streamlined AI tools such as GPT prompts, Large Language Modeling (LLM) and Natural Language Processing (NLP) can be efficiently leveraged to extract, categorize, and interpret pieces of content and text from thousands of documents and images. These AI tools can also optimize workflow processes and enhance content security and governance based on their advanced document and data analysis capabilities.
“While companies understand they must employ AI technology to stay competitive, given the often-confusing information in the media, they don’t necessarily know where to start,” said Avner Scheur, President and CEO of GRM Information Management. “The vast native intelligence contained in their digital information hubs, that can be multiplied and leveraged through AI-integrated content processing systems, is an often-overlooked starting point that can yield enormous results,” added Scheur.
A Scalable, Future-Proof AI Solution: GRM’s VisualVault
Organizations need content systems that are AI-expandable and can self-adjust as new AI technologies evolve and are added. These content services platforms (CSP) should eventually teach themselves to the point where they feed intelligence on the fly across all network systems and AI redeploys automatically wherever it’s needed.
GRM’s VisualVault™ content management platform is embedded with a range of AI tools and models that can scale with expanding document and content processing needs, requirements and ever-morphing enterprise information reassessments. The VisualVault ™ platform, as the central information management hub, can serve as a key infrastructure backbone for architecting a company’s longer-term, wider enterprise AI implementation strategy, integrating with other ERP and IT systems.
AI Document Management 2.0
Today’s AI Document Management 1.0 is still limited by the need to capture and store documents and content for analytics reporting that teams interpret for operational insights. AI document management 2.0 will eliminate the need to archive extracted content for later analysis and will read document content and build predictive analytics on the fly in real-time, including uncovering insights previously unknown. These future systems will also optimize predictive analytics, parameters and components that are generated over time to yield improved business outcomes.
To learn more about the importance of digital content and document hubs in AI enterprise strategy, read GRM’s white paper, “The Overlooked AI Value Center: Document Management”.