Why Does Your Organization Need AI-Ready Content?
Understand the business value and foundational value of getting your assorted content, data, and other knowledge assets ready to be harnessed by artificial intelligence.
What We Offer
Explore our collection of AI readiness services, ranging from initial training and strategy workshops, to rapid execution of our AI readiness methodology to match your timeframe and scale.
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Learn from the vast collection of Knowledge Base articles, presentations, and case studies addressing AI readiness and its component parts. Long before AI was an organizational reality, we have been successfully performing these services.
Despite the constant buzz around artificial intelligence (AI), the vast majority of AI efforts are failing to make the jump to production, with many organizations struggling to identify actual business value or returns from the massive investments they have made. The missing link for AI readiness is not in the technology, but in the state of your organization’s existing content, data, and other knowledge assets. Without the necessary level of quality, semantic structure, and entitlements, you will, at best, be disappointed by your anticipated AI outputs, and, at worst, expose the organization to undue risk, confusion, and potential exposure.
EK has been working for over a decade on the unique combination of disciplines necessary to ensure AI readiness for your content, data, and broader assemblage of knowledge assets. We bring the necessary experience, expertise, and tools to you to begin addressing AI readiness immediately, so it can quickly yield value for your organization and enable your AI solutions to accurately, completely, and reliably answer questions you haven’t yet encountered.
Why Does Your Organization Need AI-Ready Content?
AI capabilities have quickly progressed, yet many organizations are failing to realize meaningful value from their AI initiatives, and still more organizations see their initiatives stall at the prototype phase. Imagine your new AI solutions generating not just errors, but conflicting guidance built off of outdated data and older versions of information. Or consider the impact to your organization if your AI solutions confuse regionally-specific guidance or terms, failing to properly categorize and contextualize your organization’s end users and the targeted answers they require. Worse yet, envision the risks and damages associated with sensitive information being unintentionally exposed to the wrong stakeholders. A leading reason for these troubling AI failures is poor content AI readiness. A recent MIT report identified this as a key reason why 95% of AI pilots fail; not due to flawed underlying models, but because they are built on fragmented data, conflicting content signals, disjointed processes, and tools that don’t integrate with real-world workflows.
Poor-quality content and data are major obstacles to successful AI implementation. Without a strong foundation of high-quality information, AI solutions are prone to errors and “hallucinations,” exposing organizations to significant risks from incorrect or outdated information, which can lead to dangerous and costly consequences. AI readiness goes well beyond simply cleaning up content and data, however. To be truly effective, an organization must also:
1) Address current knowledge gaps to ensure all critical questions are answerable,
2) Add and apply structure and context through semantic components and modeling, and
3) Address access and security to ensure AI does not inadvertently expose sensitive content.
Without implementing these key steps to AI readiness, organizations not only struggle to realize business value through AI solutions, they expose themselves to undue risk, confusion, and potential for critical errors. Even the most advanced AI systems cannot deliver truly trustworthy results if an organization has not adequately prepared its content, data, and other knowledge assets.
Even if you are not imminently planning to implement AI solutions, these same AI readiness efforts will help you get your data, content, and other knowledge assets in the right state for them to be immediately findable, discoverable, and traversible, enabling advanced solutions and improving user experience regardless of your specific end points.
What We Offer
Regardless of what stage your organization is in, ranging from initial planning to those seeking enterprise AI capabilities, AI readiness for content, data, and other knowledge assets will offer both immediate and long-term value. At EK, we are experts in all aspects of AI readiness, with years of proven experience in each of the disciplines necessary for success. We can help you plan, prove, execute, or sustain AI readiness for your knowledge, content and data, achieving a core set of assets that meet our ROCK (Relevant, Organizationally Contextualized, Complete, and Knowledge-Centric) standards through our own proven methodologies.
AI Readiness Workshop
This highly-interactive workshop combines training, proven methodologies, and rapid planning to deliver a customized action report for you that can save your organization countless hours in missteps and unnecessary work. First, we will help you align on AI use cases and questions you want AI to be able to answer. From there, we will support you in diagnosing your AI readiness challenges, customizing and scaling the workshop to cover the types of knowledge assets you want to address (ranging from structured data to unstructured content, as well as others such as your people’s expertise, products, and facilities) and the AI readiness issues you want to address (including asset quality, asset completeness, semantic structuring, entitlements, and iterative governance). We will deploy the right EK experts to facilitate your chosen topics and jointly develop an action plan for your organization to prove methodologies and quickly establish a bank of AI-ready content.
AI-Ready Content
If you are ready to jump in and begin addressing your content, data, and other knowledge assets, we can ensure you move forward to show iterative progress, immediately and directly addressing your assets either at the group or enterprise level. With the full roster of unique skill sets necessary to prepare your data and content for AI readiness, EK can help assess your readiness gaps and then directly address them. We leverage our combined knowledge management, semantic design and application (taxonomy and ontology), unified entitlements, and governance experts to supplement your organization’s own experts. Our services in this space are flexible, ranging from training, to advisory and oversight, to complete end-to-end implementation. We can also scale to suit your needs, helping you to address AI readiness at the group level, or all the way throughout your enterprise.
Asset Readiness Testing
If you are seeking to understand how ready your content or data is for AI, or if you are looking to prove the value of investing in AI readiness, we can help you assess or test your existing assets. Consider this as a proof of value add-on to our other AI-ready content services. We proactively partnered with the top AI product market leaders, allowing us to test how the leading AI solutions will handle your content before and after it has gone through our AI-readiness methodology, allowing you to see the direct impact of this work in leading AI applications. This can serve as validation of your AI readiness approach, as well as an assessment tool to help prioritize which types and repositories of knowledge assets you should tackle next.
AI Asset Governance and Operating Model
Once you have invested in getting your knowledge assets AI-ready, you want to ensure they remain that way. This requires having the right monitoring, people, and processes in place to use your more advanced understanding along with the outputs from your AI solutions to fill newly realized gaps in knowledge. AI asset governance is far more complex than traditional governance in that it is all about coordination between systems and groups, rather than within them. To properly establish a fully operational AI asset governance group, you need more than a list of roles and responsibilities; you need a dynamic approach to coordination and communication with enterprise-level buy-in. EK’s organizational design experts pair with our AI subject matter experts, solution architects, and your organization’s own stakeholders to design and help implement AI asset governance and a scalable operating model.
To learn from specific case studies and understand the full breadth and depth of EK’s capabilities for AI readiness, please also explore our Semantic Design and Modeling, Knowledge Management, and Unified Entitlements services.
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Explore our thought leadership on AI Readiness and related topics.
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