In today's digital era, businesses are swimming in a sea of data. Understanding and harnessing the power of advanced analytics, data, collective intelligence, and artificial intelligence (AI) is crucial. Developing a strong data and analytics strategy is essential for organizations looking to use information effectively.

From small machine shops to large fabrication facilities, manufacturing businesses depend on effective information management. Manufacturing information management systems offer such businesses real-time insights into the status of production. Making information available at the right time and in the right context saves knowledge workers' time. Additionally, information management systems can help improve document security.

Knowledge workers, hired for their creativity and high level critical thinking, currently find themselves losing time to routine tasks. With 41% of their day devoted to these activities, the global workforce is in dire need of a solution that frees knowledge workers from mundane, time-consuming tasks. This is where artificial intelligence (AI) and workflow automation shine.

Modern emerging technology is shaking up traditional ways in which the oil and gas industry operate, with automation software and data-driven solutions set to transform the field. By moving toward work automation through information technology, the oil and gas industry faces new changes and challenges. Many oil and gas companies haven't yet adopted digital innovations to improve important performance indicators.

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?

Generative artificial intelligence (AI) applications like ChatGPT are dominating the news, and knowledge workers—professionals who use information, creativity, and critical thinking skills—are paying close attention. Knowledge work categories include creatives (writers and artists), intellectuals (professors and economists), and experts (architects and computer engineers). Anyone interested in generative AI can try to predict the impact of this new technology.

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.

The workplace landscape has changed. Working smarter is essential to work-life balance. Efficient processes and procedures must meet the needs of knowledge workers since they prefer to use their time on revenue-generating strategies. With this goal in mind, implementing automated workflows and document management systems is integral.

Although topics such as inflation, market volatility, and interest rate mayhem are top of mind for most wealth managers, the evolving AI revolution is making the industry stand up and take notice. But forward-thinking wealth management firms aren't necessarily asking the typical headline-making questions: Will AI take my job? Can we trust AI? Will AI take over the world? Rather, firms are asking: How can we leverage AI to create a superior client and employee experience?