Daniel Burrus
MAY 25, 2022
What people want and need changes almost daily, and companies are always introducing new, innovative solutions to the average person’s everyday problems, but more importantly, are trying to stay ahead of those changes in what consumers want and need. Five Tech Trends Impacting the Retail Industry.
Daniel Burrus
OCTOBER 21, 2020
At the same time, because businesses and organizations of all sizes were forced to change, technological innovation has been accelerating beyond exponential levels, jumping ahead five and, in some cases, ten years or more in a matter of months, creating massive new opportunities that crisis managers are failing to notice. . Let’s face it.
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Leapfrogging
APRIL 17, 2019
According to Neda Amidi, Global Head of Health at Plug and Play, “I think we’ll continue to see startups tackling massive datasets using AI and machine learning. ” Artificial intelligence is just one thing that might help the system.
Jeffrey Phillips
MARCH 20, 2019
This transition into an "as a service" world changes the ownership model, the customer experience model and the revenue model, all at the same time. What the "as a service" model doesn't fully contemplate, however, is the importance and value of data. We chose the latter.
Innovation in Practice
FEBRUARY 20, 2018
are in the process of developing strategies to maximize wireless capabilities in vehicles for advertising purposes. As Bloomberg states , Automakers have been installing wireless connections in vehicles and collecting data for decades. Visualize the new (or changed) products or services.
Daniel Burrus
MARCH 17, 2021
Additionally, smart homes and smart home features are likely part of your vocabulary in today’s world, including the likes of Ring Doorbells, Nest to remotely handle things like your thermostat, or any number of artificial intelligence (A.I.)-based based devices, such as Amazon’s Alexa. But have you yet heard of a “Smart City?”.
Yet2
NOVEMBER 5, 2019
It is only possible with the expansion of broadband wireless networking, vast cell phone market penetration, and the rise of cloud computing. Even with edge computing, the scope of data will soon reach such scale that emergent technologies like quantum processing and machine learning will be necessary to make sense of it all.
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