Last year, I wrote about the 10 ways generative AI would transform software development, including early use cases in code generation, code validation, and other improvements in the software ...

AI faces significant challenges in regulatory and legal document analysis within the financial sector. Primary concerns include model accuracy and hallucination risks, where AI may generate ...

Participants will learn how to use generative AI models for text, code, image, audio, and video generation, as well as data augmentation, feature engineering, and model development and refinement ...

Generative AI, or genAI, refers to systems that can generate new content, be it text, images, music, or even videos. Traditionally, AI/ML meant three things: supervised, unsupervised, and ...

KEY TAKEAWAYS • Business use cases for generative AI include data analytics, customer service, assistive coding, product design, content creation, document summarization, project management, and ...

According to Analytics Insights, by 2025, businesses in the U.S. intend to invest more than $67 million in generative AI implementation, up from the global average of $47 million.This investment ...

“With traditional OCR and AI models, you might get 60% straight-through processing, 70% if you’re lucky, but now generative AI solves all the edge cases, and your processing rates go up to 99% ...

PGIM also uses gen AI for code generation, specifically using Github Copilot. About 1,000 developers in the company are using it, says CITO Baker. “We see about 60% of our developers using it on ...

TL;DR Key Takeaways : OpenAI’s o3 and o4 models set new standards in generative AI, offering advanced intelligence, tool integration, and accessibility for diverse applications.

Recently, I was asked why there is so much resistance to adopting generative AI (GenAI) for e-discovery document review. My answer was simple: It's because many have yet to see it in action. The ...