George Lawton

What is neuro-symbolic AI? Neuro-symbolic AI combines neural networks with rules-based symbolic processing techniques to improve artificial

Rabbit achieved ten times the projected sales for a new AI gadget at CES. However, the bigger implication under the hood is a new Large Action Model (LAM) that could upend RPA and AI workflows and usher in a new operating system paradigm.

Vision language models (VLMs) combine machine vision and semantic processing techniques to make sense of the relationship within and between objects in images.

Embedding models for semantic search transform data into more efficient formats for symbolic and statistical computer processing.

Data protection officer responsibilities reach beyond traditional IT, legal and security roles to provide a holistic view of data privacy , security and education.

Simon McDougall, Chief Compliance Officer at ZoomInfo, explains how the firm uses Vanta's trust management tools to streamline security, compliance, risk management, and sales processes.

India's Digital Personal Data Protection Act recognizes the right of consumers to protect their personal data during a company's processing of that data.

Logistic regression predicts binary outcomes in data sets. Discover its role in various industries and explore tools for logistic regression analysis.

Organizations face many challenges when adopting analytics to extract maximum value from data infrastructure.

Propel executives weigh in on the history and future of digital twins for physical products. The future requires evolving beyond standalone engineering focus tools to more integrated workflows towards a more enterprise-wide approach to Product Value Management.