DZone
JANUARY 14, 2023
Artificial intelligence and machine learning already have some impressive use cases for industries like retail, banking, or transportation. While the technology is far from perfect, the advancements in ML allow other industries to benefit as well.
Dynatrace
JANUARY 16, 2023
These customers are among the world’s largest 15,000 organizations from all major industries, including financial services, retail and e-commerce, technology, transportation, manufacturing, healthcare, and public-sector organizations. The data covers the period of January 2021 through September 2022.
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Tech News Gather
JUNE 30, 2023
Here are some real-world scenarios where ESRI applications have proven invaluable: Urban Planning : ESRI applications enable urban planners to visualize and analyze data related to land use, transportation, and infrastructure to make informed decisions about city development and sustainability.
All Things Distributed
MARCH 11, 2015
AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. This is being called Video Content Analysis (VCA) and it has many application areas from retail to transportation.
The Agile Manager
FEBRUARY 28, 2023
A retailer that requires its customers to put an order on a specific location rather than algorithmically routing the order for optimal fulfillment to the customer - e.g., for best availability, shortest time to arrival, lowest cost of transportation - forces the customer to navigate the company’s complexity in order to do business.
All Things Distributed
DECEMBER 18, 2017
In France, you can find one of the most vibrant startup ecosystems in the world, a strong research community, excellent energy, telecom, and transportation infrastructure, a very strong agriculture and food industry, and some of the most influential luxury brands in the world.
The Agile Manager
NOVEMBER 30, 2020
Is brick-and-mortar retail dead? One way its retail bank makes money by converting deposits into loans. At the other end of the extreme are the macro analyses asking The Big Questions. Are cities dead? Is cash dead? These are less useful. The Big Questions are too big. But doing so is self-destructive to its business model.
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