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ExpertAISearch results for 'Practical AI'

Why You Need Text Analytics

Given the unprecedented volumes of unstructured data that companies have access to, technologies like text analytics are undoubtedly having a moment. Being able to extract valuable insights from business documents like contracts, claims, emails, presentations, customer interactions, blog posts, comments and news streams to name a few is absolutely crucial for competitive advantage. By leveraging … Continued

Natural Language Processing: Where Are We in the Hype Cycle

Each year, Gartner creates more than 100 Hype Cycles to explore the innovations and technologies that are gaining ground within a certain sector, assessing their maturity and potential through five phases: Innovation Trigger, Peak of Inflated Expectations, Trough of Disillusionment, Slope of Enlightenment and Plateau of Productivity. In its latest Hype Cycle for Artificial Intelligence … Continued

Enterprise LLMs of the Future: Bigger is not Better

ChatGPT ushered in a new era of consciousness for large language models (LLMs) with two important contributions: 1) a ubiquitous user experience and 2) using humans to remove some of the charged content in input data that LLMs have been criticized for. Although there has been robust debate on their efficacy, the effectiveness (accuracy) of … Continued

LLM Hype and Concern: Benefits Versus Harm

Since ChatGPT was released in November 2022, it has created a lot of buzz in tech circles, but also in the mainstream. It has set companies racing to get their latest (and usually largest, although that is starting to change) LLMs to market, from Microsoft, to AWS, Google to Facebook and a number of open-source … Continued

Extracting Language Data from Forms in the Enterprise

Join us as expert.ai Head of Innovation Antonio Linari discusses how extracting language data from forms enables faster document processing. He will demonstrate real-world examples and offer practical considerations for optimizing results in the enterprise.

Adding GPT and LLMs to your Enterprise Hybrid Approach

Watch this session featuring real-world examples and the practical considerations for organizations need to know to optimize results in the enterprise. Transcript: Luca Scagliarini : Good morning, good afternoon everybody. Thank you for being here at the new episode of our NLP stream. This is the first episode of a series that we start today … Continued

What the ChatGPT Buzz Means for Enterprises Today

The news about ChatGPT is everywhere, and like many businesses, you’re probably wondering: What is it? Does it work? Should I use it? Does it have capabilities that can benefit my business? Is it safe? Is it something we need to consider?  We recently announced our own integration with GPT, the large language model (LLM) … Continued

Four Key Challenges to Adopting NLP with RPA

Watch this session to learn how Expert.ai and Reveal Group are directly address four of the biggest challenges to adopting NLP. Transcript: Luca Scagliarini: Hello. Happy New Year. It’s the first episode of the New Year of NLP Stream. Today we’re going to talk about a topic that is, I think, highly relevant for many … Continued

Can you trust your model when data shifts?

In real-case scenarios NLP solutions need to deal with noisy data, and one of the most common sources of noise is “time”. Data distributions can really change a lot through time! Thus we decided to test “robustness to data shift” and compare end-2-end data-driven machine learning solutions with a human-driven symbolic approach. Let’s see what … Continued

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