Exploring content management, security, and governance in the digital era
As data and the environments they inhabit continue to grow more and more complex, managing, securing, and governing content troubles enterprises as they adapt to the ever-changing digital landscape.
Experts joined KMWorld’s webinar, Managing, Securing, and Governing Content Across the Digital Landscape, to guide viewers through mastering content governance, security, and management while making room for contemporary digital practices.
To begin, Thomas Trela, senior director of product management at Access, shed light on the current digital landscape. He explained that rapid information growth, paired with the diversity in data creation and decentralized storage, has led to challenging disparities that threaten the success of a data-driven business.
These challenges—namely, the balance between accessibility and security, consistency in governance, and regulatory compliance—must be remediated to achieve a great content strategy.
Trela then offered these best practices for inviting successful content management to an organization:
- Centralize content management through cloud integration, connecting systems, and backup testing.
- Maintain data integrity and relevance with regular data audits, employee training for adherence, while acknowledging SaaS solutions and the challenges of data access.
Additionally, Trela pointed to several technologies—AI and ML, blockchain, and hybrid cloud—as methods to use when considering an enterprise content strategy. Regarding security and governance, Trela recommended role-based access, automated compliance checks, and implementing a data lifecycle management system.
John Chmaj, senior director, KM Strategy at Verint, explained that AI fulfills and extends the KM value proposition. Able to automate analysis, curation, and optimization, as well as provide deep insights into evolving needs and opportunities, AI—and in particular, large language models (LLMs)—can address the challenges emerging in a data-driven landscape, according to Chmaj.
While KM and content strategies continue to face the problems they always have, merging best practices in this area with emerging technologies will differentiate a successful strategy from an unsuccessful one.
Chmaj then introduced Verint Da Vinci AI, an AI-powered platform engineered to maximize brand value and centralize API functions. Following several guiding principles—being human-centered, data-driven, open and secure, responsible, and ultimately aiming for the enrichment of business processes—Verint Da Vinci AI is equipped to deliver CX automation throughout the enterprise. Whether the process is hiring, forecasting, call risk scoring, quality management, or agent coaching, Verint’s AI platform benefits from a simple, modern, automation-driven design that aims for AI-infused KM.
Anthony Vigliotti, chief product officer at Adlib Software, explained that while content management seems as easily solvable as acquiring a document management system, it often fails to address the same issues that have been plaguing enterprises for decades.
The problem, Vigliotti posited, is due to “digital mayhem,” a deadly mix of manual document processing, process standardization, sheer volume, and differing formats that prevent the formation of a successful content management strategy.
Adlib Transform, designed to “connect the unconnected,” is a document conversion and transformation platform that delivers accuracy, automation, and third-party integration for remediating disparate and siloed data architectures.
Adlib automates mission-critical processes with human-like intelligence and machine-like precision for highly regulated industries, boiling its capabilities into two overarching steps: preprocessing automation and intelligence automation.
The first step generates documents of record from previously unstructured data within an automated, standardized, repeatable workflow that takes mere seconds, according to Vigliotti. The second step then incorporates an AI-powered document workflow automation, which uses high confidence models and a human-in-the-loop strategy to classify and deliver as well as detect and extract relevant knowledge for human consumption.
For an in-depth discussion of successful content management strategies in the digital era, featuring demos, case studies, and more, you can view an archived version of the webinar here.
Companies and Suppliers Mentioned