Zendesk

JANUARY 18, 2024

What is AI transparency? AI transparency means understanding how artificial intelligence systems make decisions, why they produce specific results, and what data they’re using. Simply put, AI transparency is like providing a window into the inner workings of AI, helping people understand and trust how these systems work.

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Logicalware

JULY 26, 2023

Artificial Intelligence (AI) has transformed contact centres, improving customer experiences and operational efficiency. However, it’s important to recognise that AI is an umbrella term encompassing various subfields and techniques. What is Artificial Intelligence (AI)?

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Lightico

APRIL 18, 2024

IDP is a technology that uses artificial intelligence and machine learning to automate the extraction of data from documents. This technology is great for industries that handle a lot of paperwork, like finance, healthcare, and legal services. IDP, on the other hand, utilizes AI to overcome these limitations.

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Lightico

JUNE 29, 2023

Individuals began signing their names or using monograms to authenticate legal documents, marking the transition from physical seals to individual marks. Individuals began signing their names or using monograms to authenticate legal documents, marking the transition from physical seals to individual marks.

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Lightico

JULY 26, 2023

Artificial intelligence (AI) has revolutionized various industries, including financial services and lending. AI has emerged as a powerful tool to process document based unstructured data, transforming document collection, management and lending processes. However, extracting meaningful information from this data has been a challenge.

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DMG Consulting

AUGUST 10, 2018

Recent advancements in artificial intelligence (AI) technology coupled with consumer preference for digital channels, is driving interest in and adoption of intelligent virtual agents (IVAs) and a related technology, robotic process automation (RPA). Legally binding digital e-Signature. Legally binding digital e-Signature.

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ECXO

AUGUST 15, 2023

Additionally, brands must account for and understand data privacy and cyber-risk concerns as simulating data and environments will increase legal and regulatory risk. Gartner predicts that by 2024 60 percent of the data used to develop AI and analytics applications will be synthetically generated. Organizations must be transparent.

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