Online images used to be simple. In the past, they weren’t the focal point of a page — there were only a handful of images on a given page and all users were viewing online images on a desktop with dial-up. That has all changed. Today’s web pages are dynamic, filled with images and viewed by end users on different devices with varying connectivity. As audience expectations for rich web experiences have grown, so has the requirement to deliver increasingly image-heavy web applications. The problem? The cost and complexity of creating, storing, and delivering web images tailored for every device poses a significant challenge for businesses, but failing to address the increasing diversity across devices and networks will lead to a poor and inconsistent user experience. Current solutions don’t solve this problem completely.
Meet-me services like Blue Jeans® and Zoom® support only one model: a prescheduled, “meet-me” conference with long, numerical dial strings and access codes.
They don’t offer a “connected experience.” You have to separately manage and integrate video systems, resulting in an inferior, disjointed user experience that is more challenging to manage.
Meet-me models can’t match Lifesize. Everything else is a group meeting to which participants call in and wait for everyone else. There’s no directory dialing, no point-to-point calling, no presence status and no call escalation.
The only thing consistent about meet-me services is that they copy the cumbersome user experience of the audio conferencing model—dial, enter code, enter ID, wait …
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Published By: Quantcast
Published Date: Feb 13, 2015
Twitter est un phénomène mondial qui a littéralement bouleversé les interactions en ligne entre les marques et les consommateurs.
Récemment, Twitter a lancé une option publicitaire permettant aux marques de diffuser des Tweets et des comptes sponsorisés auprès des utilisateurs avec un ciblage d’audience spécifique. Cette offre, appelée «tailored audience», permet aux annonceurs d’utiliser leurs propres données afin d’affiner leur ciblage et de diffuser davantage de publicités personnalisées via la plateforme Twitter.
Téléchargez notre guide pour en savoir plus!
Published By: Microworld
Published Date: Dec 12, 2007
X-Spam for Exchange 2000-2003 (X-Spam) is a highly adaptive Anti-Spam Software that protects the Microsoft Exchange 2000-2003 servers from Spam. X-Spam uses advanced regular expressions and meta tests to positively identify Spam and block it. This white paper discusses Spam and provides information on X-Spam.