Industry Machine Learning VR 
TechCrunch
JANUARY 25, 2023
Does the average person want to shop for apparel in virtual reality (VR)? But not everyone agrees — particularly those who hope to build a business out of VR retail. ” Emperia’s platform offers tools brands can use to create virtual experiences, including stores in VR.
TechCrunch
SEPTEMBER 28, 2022
Virtual Reality (VR) has struggled to transition too far beyond gaming circles and specific industry use-cases such as medical training , but with the burgeoning metaverse movement championed by tech heavyweights such as Meta , there has been a renewed hope (and hype) around the promise that virtual worlds bring.
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CIO
AUGUST 16, 2022
Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.
OTS Solutions
JUNE 3, 2022
Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning.
The Crazy Programmer
DECEMBER 25, 2021
Artificial Intelligence is a science of making intelligent and smarter human-like machines that have sparked a debate on Human Intelligence Vs Artificial Intelligence. There is no doubt that Machine Learning and Deep Learning algorithms are made to make these machines learn on their own and able to make decisions like humans.
N2Growth Blog
APRIL 29, 2024
Understanding the Future of Executive Development The roles within senior leadership are evolving swiftly, and so too must the models in place to prepare future captains of industry. As industries continue to advance rapidly, executive development and leadership training have become increasingly important.
O'Reilly Media - Ideas
JANUARY 11, 2022
This may encourage the creation of more large-scale models; it might also drive a wedge between academic and industrial researchers. We’ll see new tools and platforms for dealing with supply chain and logistics issues, and they’ll likely make use of machine learning. Supply chains and business logistics will remain under stress.
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