CIO
APRIL 11, 2024
In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. Long-term aspirations What are Oracle’s long-term goals for the cloud?
ParkMyCloud
DECEMBER 5, 2019
Google Cloud Platform vs AWS: what’s the deal? After the release of the latest earnings reports a few weeks ago from AWS, Azure, and GCP, it’s clear that Microsoft is continuing to see growth, Amazon is maintaining a steady lead, and Google is stepping in. Is Google Cloud catching up to AWS?
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CIO
JULY 18, 2022
We coordinate donations from manufacturers, retailers, grocers. MealConnect connects retailers with food banks to support local food rescue. The data warehouse was built on Google Cloud with Informatica Intelligent Cloud Services for data integration and Tableau for data outputs. We source a lot of food.
CIO
MARCH 8, 2023
Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains. Artificial intelligence (AI) projects are another useful example.
CIO
JUNE 16, 2023
The Dallas-based money transfer service provider continues to derive roughly half its annual revenue from traditional sources: international money transfers at retail storefronts and customers paying down payments for cars and rent by purchasing money orders. For example, in Mexico, the company’s market remains 95% cash pickup.
ParkMyCloud
MARCH 21, 2019
Google Cloud Next 2019 will be our first Google event – and we’re looking forward to it! Google hopes to attract 30,000 attendees this year – up from 23,000 last year – to the San Francisco conference. At the event last year, Google Cloud made over 100 announcements.
CIO
AUGUST 5, 2022
Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains. Artificial intelligence (AI) projects are another useful example.
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