37 percent of survey respondents cited administrative work, such as scheduling meetings and data input, as tasks that would be outsourced to machines or automated by 2030. What do these AI assistants look like, and how do they work?
What do artificial intelligence, machine learning, virtual and augmented reality have in common? Each of these technologies will revolutionize the way we interact and partner with machines and with each other. Together, they will transform the workforce, improve healthcare, and democratize education. Learn more with Jeff Clarke, Vice Chairman of Products & Operations at Dell Technologies
Across industries, intelligent machines are marching, and along with them fear. How do business leaders today promote the adoption of emerging technologies while adapting the current workforce to the work realities of the future, inspiring and training them in the adoption of new skills?
Digitizing data opens opportunities for predictive analytics and critical business insights. But what if these insights might also be of value to other entities—customers, suppliers, and even outside businesses? See how some early mover companies are leading the way in data monetization.
By Richard L. Villars, Vice President, Datacenter & Cloud, IDC
The most fundamental objective of any IT transformation effort must be enabling your entire organization to achieve maximum insight and return from all the data it generates, accesses, manages, and shares. The first step is to trust your data.
Futurists have long envisioned a brighter tomorrow, full of AI helpers and automated environments that run on the sound of our voice. Now that we stand on the edge of that reality, it’s time to realize what it requires of us to make this new world work. With immense possibilities on the horizon comes expanding responsibility. Businesses need to act now to transform their IT, workforce and security to stay ahead of the curve.
