Content related to How to Prepare Content for AI
Choosing the Right Approach: LLMs vs. Traditional Machine Learning for Text Summarization
In an era where natural language processing (NLP) tools are becoming increasingly sophisticated and accessible, many look to automate text-related processes such as recognition, summarization, and generation to save crucial time and effort. Currently, both machine learning (ML) models and … Continue reading
How to Inject Organizational Knowledge in AI: 3 Proven Strategies to Achieve Knowledge Intelligence
Generative AI (GenAI) has made Artificial Intelligence (AI) more accessible to the business, specifically by empowering organizations to leverage large language models (LLMs) for a wide range of applications. From enhancing customer support to automating content creation and operational processes, … Continue reading
Getting Control of Your Content: AI Solutions to Streamline and Optimize Your Digital Assets
Paula Land, Principal Consultant for Content Strategy and Operations and Elliott Risch, Semantic AI Consultant, presented a LavaCon pre-conference webinar on the topic of AI-assisted content analysis titled Getting Control of Your Content: AI Solutions to Streamline and Optimize Your … Continue reading
AI-Ready Content Accelerator
AI solutions are only as good as the content that powers them. When content lacks the necessary quality, structure, and enhancement, AI tools will fail to appropriately understand it, leading to a high risk of “hallucinations,” as well as distrust … Continue reading
Knowledge Cast Product Spotlight – Matthieu Besozzi of Linkurious
Enterprise Knowledge COO Joe Hilger speaks with Matthieu Besozzi, Head of North America at Linkurious. Linkurious is a leading provider of next-generation graph intelligence solutions, enabling organizations to visualize and explore connections across large datasets. In their conversation, Matthieu discusses … Continue reading
Consolidation in the Semantic Software Industry
As a technology SME in the KM space, I am excited about the changes happening in the semantic software industry. Just two years ago, in my book, I provided a complete analysis of the leading providers of taxonomy and ontology … Continue reading
How Data Becomes Dark
Are you navigating through the complexities of managing your enterprise’s unstructured data? This infographic shows the journey from data creation to its eventual transformation into ‘dark data’—data that remains underutilized and potentially exposes organizations to risks. We break down the … Continue reading
A Semantic Layer Approach to Enterprise Knowledge Management and Information Findability
Within an organization or enterprise, multiple knowledge organization systems tend to be siloed and used for different purposes in different systems (the website, the intranet, technical documentation publishing, the product catalog, customer support articles, training materials, etc.). If this disparate … Continue reading
Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality
Enterprise Knowledge’s Maryam Nozari, Senior Data Scientist, and Urmi Majumder, Principal Data Architecture Consultant, presented a talk on “Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality” at the Data Governance & Information Quality Conference (DGIQ) … Continue reading
Knowledge Cast – Semantic Layer Symposium
In this episode of Knowledge Cast, Joe Hilger, COO of Enterprise Knowledge, moderates a panel discussion with leading experts in data and the semantic layer: Sanjeev Mohan, Malcolm Hawker, and Lulit Tesfaye. The panel delves into the upcoming Semantic Layer … Continue reading