Unite.AI

OCTOBER 23, 2023

These AI-generated visuals can be used to create deceptive content that appears genuine, leading to serious consequences. Identity theft , in which impersonated victims lose money due to credit card fraud or become entangled in fraudulent loans, is a growing threat today. The content originates from an unverified or suspicious source.

Metadata 189

Metadata AI AI Artificial Intelligence 189

Mlearning.ai

FEBRUARY 2, 2024

When we look at bank transactions, each transaction seem to be independent from one another, however each deposit, withdrawal, and transfer represents a part of the account holder’s intention, and when weaving those intentions together, we can see the entirety of their intentions, which can help fraud detection professionals catch fraud.

Algorithm 52

Algorithm AI AI ML 52

Viso.ai

MARCH 29, 2024

Can have tags for tracking attributes (e.g., Example: “task” tag for identifying question-answering models. Different versions of the model can be staged and tested before deployment to ensure they accurately identify potential equipment failures and prevent costly downtime. version number increases).

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

IBM Journey to AI blog

FEBRUARY 14, 2024

YouTube will deliver a curated feed of content suited to customer interests. Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating.

Computer Vision 208

Computer Vision Automation Robotics AI 208

NVIDIA

JULY 13, 2023

Advanced AI applications have the potential to help the industry better prevent fraud and transform every aspect of banking, from portfolio planning and risk management to compliance and automation. In the U.S., Now, generative AI can do the heavy lifting.

Generative AI 98

Generative AI AI AI Natural Language Processing 98

AWS Machine Learning Blog

JANUARY 9, 2023

Use cases such as fraud detection, product recommendations, and traffic prediction are examples where milliseconds matter and are critical for business success. It also allows for the maximum utilization of CPU and GPU resources and prevents over-provisioning of compute resources. Expected traffic pattern. Throughput.

ML 72

ML Auto-complete Auto-classification Deep Learning 72