Tagged - responsible AI

AI Transformation Brief – May 2024

Prepared buyers are better positioned to discover the vendor product differentiators that contribute value to the organization.

Govern the Use of AI Responsibly With a Fit-for-Purpose Structure – Phases 1-4

A step-by-step document that walks you through how to implement a governance structure for AI for the long term.

Responsible AI Guiding Principles Presentation Template

Use this easy-to-customize, boardroom-ready presentation template to help educate staff on your AI guiding principles.

Tech Trends 2024

Generative AI’s disruptive impact on every industry brings with it new opportunities for organizations to seize and new risks they must mitigate as they forge their...

Tech Trends 2024 Report

Generative AI’s disruptive impact on every industry brings with it new opportunities for organizations to seize and new risks they must mitigate as they forge their...

EU to Invest €6 Billion to Build a Single European Data Space

The EU plans to invest €6 billion to build a single European data space, reports EURACTIV. The envisioned space will house personal, business, and “high-quality...

CognitiveScale Named One of the 50 Smartest Companies of 2019 by The Silicon Review

CognitiveScale has been named one of the 50 Smartest Companies of the Year 2019 by The Silicon Review. The recognition is for “transforming customer engagement and...

Google and IBM Are Calling for AI Regulation

Last week, Google’s CEO, Sundar Pichai, called for new AI regulations. The next day, IBM called for rules to eliminate AI biases that can discriminate against consumers,...

How to Remove Unfair Bias From Your AI – DataRobot Demo

So, you know about AI biases but want to see a demonstration of what’s involved in identifying and removing them from a machine learning/AI application? A recent webinar...

DataRobot: “Every Business Must Make AI Bias Education a Priority”

DataRobot, a vendor of enterprise AI, recently released a report revealing that nearly half (42%) of AI professionals in the US and the UK are “very” or “extremely”...
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