Welcome!

@CloudExpo Authors: Liz McMillan, Zakia Bouachraoui, Yeshim Deniz, Pat Romanski, Elizabeth White

News Feed Item

C9 Selected by AlwaysOn as One of the OnDemand Companies to Watch

Recognized for Creating New Opportunities in On-Demand Software, Cloud Computing and SaaS

SAN MATEO, CA -- (Marketwired) -- 06/11/14 -- C9 today announced that it has been chosen by AlwaysOn as one of the 2014 OnDemand Companies to Watch. C9 was selected by the AlwaysOn editorial team and industry experts spanning the globe based on a set of five criteria: innovation, market potential, commercialization, stakeholder value, and media buzz.

C9 and the OnDemand Companies to Watch were honored at AlwaysOn's OnDemand event on June 4, 2014, at Draper University in San Mateo, CA.

"As the borders continue to fall between desktops, TVs, tablets, smartphones, wearables, and laptops, the businesses on this year's OnDemand Companies to Watch list continue to provide sleek, efficient apps to both the enterprise and consumer markets. This year's winners are fueling the entrepreneurial process and bringing new ideas to fruition," says Tony Perkins, founder and editor of AlwaysOn. "The OnDemand Companies to Watch winners are using the power of the cloud to host a new world of highly nimble, versatile, and disruptive services. These companies are at the forefront of an exploding era of creative innovation and represent the Global Silicon Valley's highest-growth opportunities in the private company marketplace."

The OnDemand Companies to Watch winners were selected from among hundreds of other technology companies nominated by investors, bankers, journalists, and industry insiders. The AlwaysOn editorial team conducted a rigorous three-month selection process to finalize the 2014 list.

C9 was recognized for its predictive sales and marketing applications that enable companies to accelerate sales cycles by up to 25%, double forecast accuracy and slash pipeline risk. With its recently announced machine-learning analytics, C9 OppScore™, C9 harnesses the world's most accurate predictive models to deliver an unbiased view of what's winnable and what's not -- allowing companies to know which opportunities to focus on, and what it will take to deliver a great quarter.

"We're honored to be included in this prestigious list of companies to watch," said Michael Howard, CEO at C9. "By combining data science with products that improve sales and marketing execution, we're enabling companies like Yahoo!, Google and Pitney Bowes to become predictive sales organizations -- ultimately accelerating revenue growth."

About C9

C9 delivers predictive sales and marketing applications that enable companies to increase revenue, generate more precise forecasts and mitigate pipeline risk. By combining data science with products that improve sales and marketing execution, C9 enables leading companies such as Yahoo!, Pitney Bowes and Google to drive predictable growth.

About AlwaysOn
AlwaysOn is the leading business media brand connecting and informing the entrepreneurial community in the Global Silicon Valley. Founded by Red Herring founding editor, Tony Perkins in 2003, AlwaysOn's mission is to continue to lead the industry by empowering its readers, event participants, sponsors, bloggers, and advertisers like no other media brand.

CONTACT:
Kristi Kilpatrick
650-302-6404
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

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.