Shelf Blog

Semantic search goes far beyond the words that people use in their searches, to interpret the intent behind the words, and the greater context in which people are asking. Traditional lexical or keyword-based technologies cannot accomplish this. The relevance and actionability of information that...

Listing use cases for artificial intelligence (AI) is like describing how to use the internet — the AI implementation examples are nearly infinite, constrained only by the inventive minds behind the wheel. AI is being implemented in business practically everywhere, from personalizing sales...

Generative artificial intelligence (GenAI) has emerged as a powerful tool for content creation, but often requires a human in the loop to ensure the outputs are valuable. The value of GenAI includes productivity gains, opportunity for revenue growth, and better accuracy for your organization’s...

Artificial intelligence (AI) is transforming the way businesses operate across various industries, but the question remains: What jobs will AI replace? Where will AI  provide new opportunities and challenges? Which industries will experience the most disruption? In this comprehensive discussion,...

OpenAI introduced artificial intelligence (AI) to the general public and their latest keynote emphasized their influence on the development of this new technology. Since Chat-GPT was unveiled in November 2022, every major tech company has announced their own AI initiative, but OpenAI remains the...

In our first entry in our series of future-proofing for artificial intelligence (AI), we discussed the inevitability of AI disruption and how your organization should prepare to manage change. In this second entry in the series, we focus on what your AI strategy needs to manage risk, evaluate ROI,...

Generative AI is revolutionizing search by delivering personalized and context-aware search experiences. This technology has revolutionized customer service with greater efficiency and accuracy. It has the potential to advance medical research by providing more relevant results for searches of prior studies and papers.

Customers have more ways to communicate with your organization than ever before, which presents a challenge for designing a seamless customer service journey. Multiple touchpoints, disconnected experiences, and increased costs can hinder customer satisfaction. Overcoming these challenges requires...

Your customers already want AI Customer Service. Artificial intelligence (AI) and Generative AI (GenAI) have created a new era of automating the most vital aspects of customer service. The results have shown boosted employee productivity, enhanced accuracy, and improved self-service containment rate.

Evaluating your organization’s tools, leadership, business model, and partnerships can identify areas of improvement needed to find success with your AI strategy. It’s not necessarily the case that AI will lead to automation of all business — and it may be your industry is one of the least-affected by this disruption — but these steps will ensure your organization is prepared for the future.

If you have been waiting for strong evidence before investing your organization’s time and resources into AI, the knowledge most organizations have already taken that step should be convincing. Now is the time to begin your journey into AI for your enterprise.

Large language models analyze datasets to derive patterns and rules as a method of learning and replicating human intelligence. As you can probably guess, the dataset used in a model can dramatically alter its understanding. We’ve used a number of analogies to explain the significance of this, but it boils down to the same principle: the inputs in LLMs greatly influence the outputs.