Artificial intelligence (AI) is rapidly advancing and significantly changing many industries such as energy, oil and gas and manufacturing. Industry professionals have estimated that AI will impact approximately 300 million jobs worldwide. The digital transformation of the workforce offers many benefits, but it leaves open a disruptive question: Will AI replace knowledge work?

Artificial intelligence (AI) is transforming knowledge work every day as every new innovation evolves faster and faster. We sat down with Ville Somppi, Vice President of Industry Solutions at M-Files, to chat about these changes, what they mean for the future of knowledge workers, and whether (or how) AI will help organizations bridge the gap between structured and unstructured data.

You’ve got a new team member! They’re a hard worker who doesn’t mind doing repetitive grunt work, a great sounding board for ideas, a brainstorm buddy, a lightning-fast writer of blogs and social posts, and a smart editor. And they’re an AI. That's right, the Teamwork.com AI assistant is here to help you do better, more creative work for your clients at the press of a button. Fewer redundancies, less manual labor, higher quality writing.

In today's digital age, secure instant messaging and collaboration are paramount for businesses seeking to maintain efficiency and safeguard sensitive information. The integration of cloud services has been a game-changer in this domain, offering scalable, flexible solutions that meet the growing demands of global teams. This article delves into cloud services' critical role in enhancing communication security and collaboration associated with cloud adoption.

The integration of artificial intelligence in the service desk has become a game-changer, revolutionizing the way organizations handle customer support and IT Service Management (ITSM). In this sense, AI service desk solutions offer a range of benefits, from improved efficiency and cost savings to enhanced customer satisfaction. So, to help you harness the power of AI in your service desk, in this article we'll discuss practical ideas and strategies to implement the technology effectively.

Today’s businesses are more data-conscious than ever. Decision-makers crunch numbers before launching a new product, while planning marketing campaigns, and when considering budget cuts. However, another area of business can benefit from some number crunching: Businesses are now using analytics to gain insights into their workforce. You’ll find a variety of reasons to use analytics to measure your workforce, but first, it can help define workforce analytics and show how it can be used.

Generative AI has emerged as a significant player in an era of rapidly evolving technology, offering unheard-of increases in productivity across a wide range of industries. However, there are hazards associated with this innovation, especially with “Shadow AI,” when employees utilize ChatGPT and other generative AI technologies in ways that can violate business data security laws.

The difference may sound subtle, but it can cause unrecoverable damage to organizations. Triggered by intentional (or unintentional) employee behavior, insider risk puts business data integrity at stake, while insider threat happens when the data at risk gets exposed to some unauthorized entity. Both cases pose challenges to workplace compliance and operational efficiency.