#ai-management

#ai-management

When Amazon employees discovered they were being penalized by an algorithm for "inactivity," and managers started letting ChatGPT write their performance reviews, something began to feel off. The numbers add up, the systems are efficient - but the relationship feels hollow. We're no longer being led by people; we're being managed by machines. And somewhere deep inside us, something resists that. Not out of nostalgia, but out of psychology.

I've been a little over 30 years in the software development area, in a variety of fields, done consulting, done software development, worked on products, worked with customers. Tried to do a variety of things over the years. The last a little over 12 years have been spent specifically on AI and machine learning, in a variety of contexts. I started at Nokia, working in that with maps and data analysis of users on their mobile devices.

The picture the company paints of the modern office worker is someone who's juggling a growing number of AI systems -- as more get added, it becomes increasingly difficult to manage them all. Instead, ServiceNow is offering to help by telling those workers to simply drop the juggling act and let their own AI software pick up where they left off.

Building trust means being intentional in how AI is used and keeping people at the center of every decision, according to Kathy Pham, vice president of AI at Workday.

Antony Hausdoerfer emphasized that successful AI managers must ensure AI agents deliver trusted value and safe operations, focusing on applications that yield meaningful outcomes.

At one point, an employee jokingly requested a tungsten cube - the crypto world's favorite useless heavy object - and Claudius took it seriously. Soon, the fridge was stocked with cubes of metal, and the AI had launched a "specialty metals" section.

HPE's new ProLiant Gen12 servers, DL325 and DL345, feature 5th Gen AMD EPYC processors and double the previous generation's memory capacity, enhancing virtualization capabilities.

AI tax is the hidden cost businesses pay when generative artificial intelligence adoption is poorly planned, resulting in redundant systems and operational inefficiencies.

ISO 42001 provides international guidance for managing AI systems, emphasizing the importance of responsible implementation through 38 specific controls that assist organizations.

RHEL 10 integrates AI-driven management to empower IT professionals, addressing a skills shortage and enabling effective management of hybrid environments and AI workloads.

In other words, part of WPP's bet is that the real competitive edge won't come from using AI so much as it will come from responsibly managing, integrating and scaling it.