Data

CIO Upside

How to Find the ‘Perfect Hybrid’ For Your Enterprise

Photo by Web Summit via CC BY 2.0

‘We rushed into the cloud. It’s not necessarily the answer.’

2 min read

Photo via U.S. Patent and Trademark Office

Patent Drop

Workplaces Face a Balancing Act with Generative AI Monitoring

Where should businesses draw the line with large language model utilization?

1 min read
Photo by Tima Miroshnichenko via Pexels

CIO Upside

How CIOs Can Prepare for the Not-So-Distant Quantum Security Threat

‘What’s more concerning is that people are just waiting and doing nothing’

2 min read
Photo of IBM patent via the U.S. Patent and Trademark Office

Artificial Intelligence

The Less You Know, the Better: Tech Moves Toward Data Minimization

‘At the end of the day, wherever that data is, it has to be protected’

2 min read

Patent Drop

Into the Future: The Patent Drop Highlight Reel

Photo via U.S. Patent and Trademark Office

What the years of writing about Big Tech’s IP has taught us.

4 min read

Photo by Mike Mozart via CC BY 2.0

Healthcare

23andMe Gives Up on its Drug Development Dream

A treasure trove of genetic data may hold the key to a revolution in drug development, but it offers no clues for building a business.

2 min read
Photo via U.S. Patent and Trademark Office

Patent Drop

IBM May Pay Closer Attention to AI Risk Amid Model Boom

The context in which an AI model is used can change how much risk it presents, and who it affects.

2 min read
Photo via U.S. Patent and Trademark Office

Patent Drop

OpenAI Patent Could Improve Voice AI Models’ Focus

OpenAI wants to work on its active listening skills.

2 min read

Patent Drop

Microsoft Wants to Solve Inaccuracy, Hallucination in AI Models

Photo via U.S. Patent and Trademark Office

hallucination in AI is a pervasive, core issue that might not be easily solvable.

2 min read

Photo by Souvik Banerjee via Unsplash

Social Media

LinkedIn Deepens Its Facebookification with AI Data Scraping

Reports have surfaced that LinkedIn is quietly opting its users in to data scraping so it can train its large language models.

2 min read