The AI Revolution in Knowledge Management

AI Ripple Effect: Disruption of Businesses and Industries Will Continue in 2025

AI's impact extends far beyond tech. When DeepSeek’s R1 launched in Q1 2025, it shook global markets—Nvidia lost $600 billion in a day, and investors questioned the future of AI giants. But the ripples didn’t stop there. From breakthroughs to ethical dilemmas, AI is reshaping industries at an unprecedented pace.

Smarter, Targeted AI Models: A Sustainable Solution

By tailoring AI models to their intended use cases, companies can significantly reduce operational expenses while also improving performance and customer experience.

How Compute Costs Will Alter the Future of AI Innovation and Implementation

As compute costs rise, the question is no longer whether AI solutions are transformative, but rather how do we make them sustainable?

What’s the difference? DeepSeek vs. ChatGPT vs. Implicit

AI is evolving at a pace that makes it difficult to stay current. DeepSeek is the latest disruption in the AI landscape. This article will help you discover the strengths, weaknesses, and ideal use cases of 3 AI tools to help you determine which AI best suits your needs.

GenAI Product Support Initiatives: Is Your Content Ready?

GenAI draws from your enterprise’s knowledge base, documentation, and training data to deliver responses. If the content is outdated, incomplete, or inconsistent, the AI may produce irrelevant or inaccurate outputs, eroding customer trust.

Entity Intelligence is the missing link in AI

Automatic identification and resolution of entities within unstructured data sources is crucial to understanding and utilizing data for use in AI systems. Historically this has been difficult to do, and even harder to trust the results. Implicit's hybrid, human-in-the-loop approach for discovering and compiling entity intelligence, ensures that its best-of-breed, entity graph technology delivers trustworthy, production grade outputs for mission-critical AI use cases.

Introducing Entity Intelligence

Expediting field service repairs with Implicit GraphRAG

KG-to-Text with Llama 2

Beating the current SOTA Knowledge Graph-to-Text (KG-to-Text) model on the WebNLG (Constrained) dataset with a fine-tuned Llama 2 7B Chat model.

Knowledge Graphs and Entity Graphs - When You Need One vs. The Other

How do you bring insights to unstructured data? An overview of how entity graphs build upon knowledge graphs to extract insights and improve information value.

What are entity extraction, entity disambiguation, and entity linking?

What are entity extraction, entity disambiguation, and entity linking?

Structured Data Will Make a Comeback in 2025

Will GraphRAG fix your GenAI accuracy problem?

The accuracy of LLM responses is crucial when implementing AI solutions for your business. GraphRAG solutions have proven to be effective at achieving critical accuracy rates.

Why RAG isn’t enough for GenAI apps

Retrieval Augmented Generation (RAG) is a popular, low-cost technique to boost GenAI response quality. But for many use cases, it still falls short.

5 Ways AI Can Supercharge Your Technical Support Team

AI tools aren't here to replace human agent support teams. What they can do is supercharge productivity, improve job satisfaction and retention, and make every human agent an expert from day one.

What Will Change in Product Support and Knowledge Management in 2025?

2025 will see AI Product Support and AI Knowledge Management prioritize expertise and depth over breadth to drive customer loyalty, improve accuracy and performance, and reduce the high costs of AI.