Tag: ai

What is your IT organization up to today? Is it focused on solving the right problems with data?

As business processes increasingly move into the digital realm, developers should focus on broader business goals before rushing to implementation.

The technology industry has long had a diversity problem but some nonprofits are doing their part to break down the barriers and create lasting change.

Organizations are replacing human-based trust models with algorithmic ones to ensure data privacy and security. Here's why.

There's a lot of work to be done developing AI, but it's gaining enterprise traction. In fact, recent data predicts 75% penetration in the workplace by 2024.

What will the future bring for AI? Barring any major shifts, businesses are likely to see more of the same, only bigger, faster and cheaper.

As part of Microsoft’s Project Cortex rollout, Microsoft is advocating for new knowledge management positions, staffed by living, breathing human beings.

Last year machine learning engineer was the most sought-after role in tech, according to a recent survey. So what does a ML engineer do?

It has been argued that jobs being lost to AI are mainly unskilled. However, trends indicate this isn't the case. What other skilled jobs may be impacted?

Many organizations are looking at automating workplace processes. However, successful automation requires strong planning and preparation.

While COVID-19 has seen many workers sent home, for many organizations it is the catalyst for automating enterprise processes. Here’s how.

Technology has become the lifeline of the world we live in today. Without it the world would be at a standstill.

AI has been creeping into the workplace and employers are looking to use it to improve employee experience. Here are seven ways it's changing the role of HR.

By calling things “Artificial Intelligence” or “Deep Learning,” we are using words loaded with meanings and implications which, in fact, don’t exist.

Think 2020 marked a transition for IBM, driven in part by the leadership of new CEO Arvind Krishna and underpinned by AI and hybrid cloud.

While there has been a major push to deploy AI in the workplace, not everyone is convinced that it is needed, and there are disadvantages too.

While chatbots in the digital workplace are in their ascendancy, collectively we’re still at an early stage of maturity.

Two pairs of terms frequently get mixed up when talking about AI: Strong vs. Weak AI, and General vs. Narrow AI. The question is: what are you aiming for?

Rules-based auto-classification has been around for years, but recent advances in AI has made it a viable solution for improving an organization's metadata.