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. Financial terms were not disclosed. ” Organizations are being challenged to quickly create engaging and data-rich mobile and web apps.

IBM 268

IBM Big Data Mobile Development 268

Cloud Musings

DECEMBER 11, 2015

PaaS provides a platform allowing customers to develop, run, and manage web applications without the complexity of building and maintaining the infrastructure. Its unique power is associated with developing and deploying applications.

Disaster Recovery 70

Disaster Recovery Healthcare Load Balancer Applications 70

CTOvision

JUNE 7, 2014

These are examples of consumer-oriented sensors and devices, but that has occurred in parallel with business, professional, infrastructure, government and military applications. You can opt-in to smart metering so that a utility can load balance energy distribution. Here are some examples….

Internet 283

Internet Security HP Operating Systems 283

CIO Business Intelligence

FEBRUARY 27, 2024

We expect to know where someone is, what communication device or application they’re using, and more in real-time as we engage. Enhanced call routing: TFS can kick emergency response into high gear with the ability to intelligently route calls based on location, load balancing, and other factors.

Load Balancer 19

Load Balancer Network System Healthcare 19

Scott Lowe

SEPTEMBER 1, 2015

Poonen briefly recaps yesterday’s messaging, and then moves into the focus of today’s keynote—focusing on the “any application and any device” part of the “Ready for Any” messaging. According to Poonen, the core of the solution for “any application on any device” is VMware’s Workspace Suite. What about iOS and Android devices?

Vmware 60

Vmware Applications Network Video 60

Dataconomy

MAY 22, 2023

This scalability is particularly valuable in scenarios where real-time or near-real-time predictions are needed or when dealing with large-scale datasets, such as those encountered in big data applications. These examples highlight the wide-ranging applications and the value that distributed learning frameworks bring to various industries.

Training 93

Training Resources Data Load Balancer 93