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ExpertAISearch results for 'Explainable '

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

Overcoming the Top 3 Challenges to NLP Adoption

In 2023, AI and NLP are no longer considered optional, but crucial technologies for achieving competitive advantage—now. In its trends report on the top 10 emerging technologies of 2022, Forrester identified NLP as one of six technologies that “will create significant ROI starting today.”   Natural language processing (NLP) is the key that unlocks the … 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

Wrapping up 2022: Most Read Posts

As 2022 comes to a close, it’s a great time to reflect on the themes that emerged over the past year, both in the market at large and with our customers and community specifically.   Our survey of CDOs, released in February of this year, forecasted the importance of AI skills and the choice of … Continued

Join Us at Gartner Analytics Summit 2022

Your organization’s data is an asset that is absolutely vital to your business strategy and to any initiatives that involve customers and digital transformation. Staying competitive requires being able to take advantage of all of your data, not just the numbers (although those are important too), but the data contained in language: documents, emails, contracts, … Continued

Implicit vs. Explicit Knowledge for Language Understanding

The most accurate language understanding systems rely on enterprise knowledge to solve business problems of any complexity. Applying such knowledge is foundational to the symbolic AI approach that excels at horizontal use cases such as text analytics, cognitive processing automation (CPA) and smart customer interactions. Typically stored in a knowledge graph, this knowledge takes the … Continued

Showcasing Natural Language Value at Ai4 2022

Expert.ai Platform and solutions experts to share natural language understanding use cases driving business results at the world’s premier AI for business community Expert.ai will be presenting at Ai4 2022. Taking place in Las Vegas over August 16-18, the event brings together business leaders and data practitioners across industries to facilitate the adoption of artificial … Continued

The Role of Natural Language Processing (NLP) Algorithms

By nature, human language is complex. To understand human speech, a technology must understand the grammatical rules, meaning, and context, as well as colloquialisms, slang, and acronyms used in a language. Natural language processing (NLP) algorithms support computers by simulating the human ability to understand language data, including unstructured text data. The 500 most used … Continued

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