Uniphore

JANUARY 25, 2022

Automotive, healthcare, retail, banking, transportation, entertainment, education, human resources, legal services – and more. Lastly, machine learning (ML) enables AI-based systems to “learn” and improve from experience without being explicitly programmed. According to the New York Times , “Banks tried to kill crypto and failed.

AI 130

AI Artificial Intelligence Healthcare Legal 130

Lightico

FEBRUARY 4, 2025

Intermediate AI (OCR + ML, ID Verification , IDP) Key Traits : OCR to process documents automatically, ID verification for compliance, ML-driven data extraction. Is there internal buy-in for AI-driven processes from key stakeholdersparticularly compliance officers, legal teams, and senior management?

Finance 52

Finance AI Compliance Machine Learning 52

DMG Consulting

JUNE 8, 2021

Then there are the broader enterprise applications of IA: to identify new product opportunities, at-risk customers, legal risks, and the potential for fraud, just to mention a few. This is being helped along by the increased adoption of digital channels, which is opening up new opportunities by expanding the uses and contributions of IA.

Text Analytics 107

Text Analytics Contact Center VOC Artificial Intelligence 107

Lightico

JULY 2, 2024

The process is fraught with complexities, including the need to adhere to legal protocols, manage customer communications sensitively, and handle the logistical aspects of reclaiming vehicles. Lightico’s platform ensures that all processes are compliant with the latest regulations, reducing the risk of penalties and legal issues.

Compliance 52

Compliance Finance Data Entry Legal 52

Lightico

APRIL 18, 2024

This technology is great for industries that handle a lot of paperwork, like finance, healthcare, and legal services. Machine Learning (ML): ML algorithms enable IDP to learn from existing data patterns and improve its accuracy over time. Intelligent Document Processing is changing how businesses handle information.

Data Entry 52

Data Entry Invoicing Machine Learning ML 52

Zendesk

JANUARY 18, 2024

Zendesk CX Trends Report 2024 AI transparency involves understanding its ethical, legal, and societal implications and how transparency fosters trust with users and stakeholders. The legal Implications of AI involve ensuring that AI systems follow the rules and laws set by governments. What’s next for AI transparency?

AI 52

AI Artificial Intelligence Legal Machine Learning 52

Intercom

DECEMBER 14, 2023

Let’s say a legal document. You can say to someone in your legal team, “Hey, I need a contract. That request will turn into 10 pages of legal stuff. And their legal team will be, “Yes, it does.” That’s not how ML works. There are probably certain contexts, right? It’s got to do X, Y, and Z.”

AI 98

AI Start-ups Legal Technology 98