Tag: machine learning

CSMWire's Dom Nicastro shines a light on some of the most compelling examples of how AI is improving efficiency and productivity in the digital workplace

Machine learning and artificial intelligence are table stakes for workplace technology, but implementation is spotty and ethical considerations remain.

SAP's acquisition of SwoopTalent shows how employee experience is driving the evolution of human capital management software.

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.

Automation is gaining traction across enterprises and SMBs are joining the party. Here's why.

Automation offers more than cost savings. It takes time-consuming repetitive tasks out of employees' hands and allows them to focus on higher value activities.

Machine learning-based systems bring the potential for business growth, but also carry some challenges and risks. Being aware of the latter is the first step.

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.

Siemens has just inked a new partnership with Google Cloud to drive its industrial IoT ambitions. Here's why.

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

The diverse use cases for AI raise ethical and moral questions about how technology is used in a fair and just manner.

Most organizations are still at the point where machine learning as a technology remains in the realm of research and exploration.

While many organizations are rushing to deploy artificial intelligence, there are no guarantees that doing so will help your business. Here's why.

Artificial intelligence and data management were big parts of the conversation this year. Those topics, among others, continue to shape the dialogue in 2021.

AWS is not only assembling a market-leading AI portfolio, but in doubling-down on business problems, is also becoming much more purposeful with new products.