Welcome!

Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Zakia Bouachraoui

News Feed Item

CEB Sets Date For 2012 Fourth Quarter Conference Call & Webcast

ARLINGTON, Va., Jan. 23, 2013 /PRNewswire/ -- The Corporate Executive Board Company ("CEB") (NYSE: CEB) today announced that it will provide an online Web simulcast of its conference call to discuss its news release regarding financial results for the fourth quarter and year-end 2012, which will be issued after the market closes on Wednesday, Feb. 6, 2013.

The quarterly conference call is scheduled to begin at 9:00 a.m. Eastern Time on Thursday, Feb. 7, 2013.  A live broadcast of CEB's conference call will be available online by visiting www.executiveboard.com and clicking on the link to Investor Relations on the company's website.  Related presentation materials will be posted to the company's Investor Relations section in Adobe Acrobat format prior to the call. The broadcast of the conference call will also be available online at www.earnings.com

About CEB
CEB is the leading member-based advisory company. By combining the best practices of thousands of member companies with our advanced research methodologies and human capital analytics, we equip senior leaders and their teams with insight and actionable solutions to transform operations. This distinctive approach, pioneered by CEB, enables executives to harness peer perspectives and tap into breakthrough innovation without costly consulting or reinvention. The CEB member network includes more than 16,000 executives and the majority of top companies globally. For more information visit us.

SOURCE CEB

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.