Companies can manage thin and thick clients through the same database, which lets them stagger upgrades, Pockard said. introduced a Web-based architecture with PeopleSoft 8, as did Siebel Systems with Siebel 7.Īmdocs stresses that Version 11 lets browser-based and client/server applications coexist. Thin-client support isn't uncommon - CRM rival PeopleSoft Inc. Version 11 features a new architecture that includes browser-based access. The company has incorporated some of its analytic tools and order management features in the new Clarify suite, Pockard said. 1," said Dror Pockard, Amdocs' Clarify division president.Īmdocs also makes billing and order management software, primarily for telecommunications firms. in Boston.Īmdocs, which bought Clarify for $200 million in November 2001, wants to regain some of that lost market share. 2 in market share behind Siebel Systems Inc.
When Nortel announced plans to buy Clarify for $2.1 billion in October 1999, Clarify was No.
#CLARIFY SYSTEMS UPGRADE#
To learn more about Clarify.ai, click here.Amdocs Ltd., owner of the Clarify software line, this week is announcing its first upgrade of the once-pioneering customer relationship management (CRM) suite.Ĭlarif圜RM 11 will include a new integration gateway, process manager and support for thin clients, which are aimed at making it easier for companies to deploy Clarify software and link it to their other systems, Amdocs said.Ĭlarify was an early leader in the CRM market but faded from view during the period it was owned by Nortel Inc. Applying Clarify.ai to widefield data sets enables high signal-to-noise ratio results with high contrast while still maintaining the benefits of widefield microscopy.Ĭomputation is fast and can be applied at the experiment time, or later – it can even be applied to archived data for improvement of contrast. Widefield microscopy generally enables fast acquisition speeds and low system costs, and is readily applicable to imaging live specimens. No special hardware configuration is required for acquiring images suitable for Clarify.ai any fluorescence widefield images obtained from any detector can be used: including cell cultures, model organisms, tissue sections/slices, or other samples. Widefield image of Zebrafish vasculature, 20xĬlarify.ai can be used on any widefield 2D or 3D data set obtained from any microscope system, detector, or magnification, without the need for AI training or introduction of bias from complicated user-settings: it has been pre-trained to recognize and remove just the out-of-focus contributions from images and preserve the original details with one click. Widefield fluorescence image of brain slice, 40x It can also easily manage removal of heterogeneous scatter while preserving intensity linearity of the underlying data. This new AI-based module enables high-contrast results from any widefield fluorescent sample or acquisition magnification.
Traditionally, deconvolution is used to reassign out-of-focus light, or additional hardware devices such as confocal pinholes used to reject this light.Ĭlarify.ai utilizes modern artificial intelligence deep learning technology to recognize out-of-focus light, and can automatically remove this component from widefield fluorescence images. In widefield fluorescence microscopy, image clarity can be impaired by out-of-focus signal emitted from above and below the focal plane. AI algorithm removes out of focus fluorescent signal
0 kommentar(er)
