Content related to Designing a Learning Environment
Steps to Improve AI Outcomes with Context Engineering
When it comes to successfully implementing AI solutions, a common refrain in most implementations is that your results are only as good as your inputs. To avoid this pitfall, we have seen both data and content teams ask “are my … Continue reading
From Risk to Readiness: Anatomy of an AI-Ready Knowledge Asset
The hidden risk in your AI investment isn’t the technology; it’s the content. The core issue is that humans and AI systems process information differently: humans infer context and build on an ever-expanding web of knowledge; AI systems require explicit … Continue reading
Knowledge Cast – Aman Bhatnagar, Director of Global Knowledge Management at JLL
Enterprise Knowledge CEO Zach Wahl speaks with Aman Bhatnagar, Director of Global Knowledge Management at JLL. With over 18 years of leadership in KM, strategic planning, and content strategy, Aman leverages data analytics to optimize processes and implement innovative solutions … Continue reading
Knowledge Cast – Ashish Kanal, Founder and Independent Advisor in KM and L&D
Enterprise Knowledge CEO Zach Wahl speaks with Ashish Kanal, a founder and independent advisor currently working at the intersection of Knowledge Management and Organizational Learning. Over 24 years across life sciences, chemicals, oil and gas, IT, and more, Ashish has … Continue reading
Expert Analysis: What is Enterprise AI-Ready Content?
Scaling Your AI Pilot with the Right Contextual Foundations There’s a rush to build AI solutions: recommendation engines, chatbots, analytics dashboards, and virtual agents. But chasing shiny tools, without understanding the full picture can be risky. The organizations that truly … Continue reading
Knowledge Cast – Melanie Adams, Global Talent Development & Training Operations Lead in Digital Manufacturing Operations at MSD
Enterprise Knowledge CEO Zach Wahl speaks with Melanie Adams, Global Talent Development & Training Operations Lead, Digital Manufacturing Operations, at MSD. With a deep background in science, leading analytical testing teams, and ensuring quality in regulated pharma environments, Melanie blends … Continue reading
Content Engineering to Improve AI Readiness for a Financial Institution’s Customer Service Center
A well-known financial institution faced challenges in providing frictionless, personalized service to customers due to widespread issues with knowledge base content. Due to outdated legacy systems, both agents and customers experienced difficulties finding and using content; similarly, internal content management teams struggled to maintain and update both agent-facing and customer-facing content … Continue reading
Transforming Content Operations in the Age of AI
AI continues to disrupt and transform the way we work in the modern enterprise, and owners and managers of digital content are no exception. During their presentation, “Transforming Content Operations in the Age of AI,” on November 19th at KM … Continue reading
How to Leverage LLMs for Auto-tagging & Content Enrichment
When working with organizations on key data and knowledge management initiatives, we’ve often noticed that a roadblock is the lack of quality (relevant, meaningful, or up-to-date) existing content an organization has. Stakeholders may be excited to get started with advanced … Continue reading
Defining Governance and Operating Models for AI Readiness of Knowledge Assets
Artificial intelligence (AI) solutions continue to capture both the attention and the budgets of many organizations. As we have previously explained, a critical factor to the success of your organization’s AI initiatives is the readiness of your content, data, and … Continue reading