GeekWire
JUNE 22, 2023
DexCare, led by CEO Derek Streat, just landed $75 million to advance the development of its healthcare patient demand and access platform. DexCare Photo) Derek Streat , CEO of the fast-growing healthcare patient demand and access platform DexCare, is a startup veteran with 25 years of experience under his belt. Keeping up with demand.
CTOvision
JUNE 7, 2014
We’re seeing a glimmer of the future – the Internet of Things (IoT) – where anything and everything is or contains a sensor that can communicate over the network/Internet. Healthcare : Think of medical devices and how they’ve progressed – pin pricks for testing blood sugar to diabetes pumps to contact lenses that can monitor your blood sugar.
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Cloud Musings
DECEMBER 11, 2015
An example of the advantage that Teradata PaaS can bring to your business is a rapidly growing US healthcare provider that needed to sustain their unpredictable growth in a rapidly expanding business. To successfully overcome this dilemma, the company adopted Teradata PaaS through the use of the managed cloud services model.
CTOvision
FEBRUARY 24, 2014
Clients across a variety of industries, including gaming, financial services, mobile device manufacturers, online learning, retail and healthcare are already using Cloudant technology. To meet this growing demand, data must be always available and easily accessed by massive volumes and networks of users and devices.
CIO Business Intelligence
FEBRUARY 27, 2024
That means they must move from the existing E9-1-1 network (designed for analog phones, which Canadian service providers have been instructed to decommission by this deadline) to NG9-1-1 capabilities. Per the CRTC’s NG9-1-1 timeline , Canadian public safety answering points (PSAPs) must transition to NG9-1-1 by March 2025.
Scott Lowe
SEPTEMBER 1, 2015
It starts by building upon the core of virtualized infrastructure, made possibe by VMware’s compute, storage, and network virtualization solutions. Casado starts his discussion about how the application has changed—the application is now a combination of servers, clients, load balancers, firewalls, and storage repositories.
Dataconomy
MAY 22, 2023
Rather than relying on a single machine, distributed learning harnesses the collective computational power of a network of machines or nodes. Distributed learning leverages the power of multiple machines or nodes connected through a network to train machine learning models in a distributed manner.
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