Tag: ai

The IIoT is becoming a key part of the digital workplace and many vectors are turning to it to make workers more productive. Here's how.

Businesses are turning to AI for a competitive edge. However, AI is expensive, requires considerable investment and ROI is not guaranteed.

As AI is gaining traction in the enterprise so too is AutoML, or automated machine learning. Here's is how it's adding value to the process.

Recent research shows that artificial intelligence has gone mainstream. Organizations that have yet to invest risk getting left behind.

While AI is gaining traction in the enterprise, it is unlikely it will ever replace good employees. Here's why.

Artificial intelligence is rapidly gaining ground in the enterprise, but the same can't be said for ethical AI. Here's why implementation is lagging.

Platform that utilizes AI to connect employees with internal work will use the money for product development and market expansion.

Microsoft has now overcome the final hurdle to its near-$20 billion acquisition of Nuance. Here's why Microsoft wants it.

Most Fortune 500 companies aren’t using AI and automation to personalize recruiting campaigns and engage candidates. That's a big miss as hiring heats up.

IBM is pushing forward with its hybrid cloud and AI strategy. While it's a good idea, it is also a matter of survival for the tech giant.

NLP is a hot property in the digital workplace. Here's why organizations are turning to it to make better and faster decisions.

Job activity picked up in Q1, IBM upped its AI product game, ServiceNow made an acquisition, Appian, VMWare and ControlUp announce new features and more news.

IBM revealed an array of AI-driven products at Think 2021, its annual hybrid cloud and AI event.

Five years ago I wrote about where big data and knowledge management overlap. Needless to say, a lot has changed in the intervening years.

RPA is officially big business. UiPath's market debut showed that interest in automation is growing as organizations look for ways to become more productive.

Rather than an expensive hindrance or a risk-avoidance tactic, businesses should view responsible AI as an enabler of technology.

Use the VDOCR model to build your ML implementation plan: Vision, Data, Organizational alignment, Change management and Revalidation.

Since the beginning of the pandemic, automation has been used to make workplaces more productive, however, not all automation is good for organizations.

Metadata should not be treated as an afterthought or a cost to be avoided, but rather as the playbook for new opportunities.

Expect two main areas — the impact of AI on our back-end data processing capabilities and the impact of no-code development on UX — to move to the fore.