Welcome!

News Feed Item

Computer Modelling Group Announces Amendment of Stock Option Plan

CALGARY, ALBERTA -- (Marketwired) -- 07/02/14 -- Computer Modelling Group Ltd. (TSX:CMG) (CMG or the Company) today announced that further to its distribution of the management information circular (the Circular) to shareholders of CMG in relation to the annual meeting of shareholders (the Meeting), the Company has been involved in discussions with, and has received suggestions from Institutional Shareholder Services Canada (ISS), a proxy voting advisory and corporate governance services firm, with respect to amending the amendment provision contained in CMG's Amended and Restated Stock Option Plan (2014) (the Plan) so that it conforms with ISS's current guidelines. Having considered the views of ISS, the Company has determined to amend the amendment provision contained in its Plan. The amendment of the Plan is subject to receipt of regulatory approval.

Based on the amendments made to the Plan, we expect ISS to issue an updated alert whereby it will recommend shareholders of the Company to vote FOR the resolution seeking approval of unallocated options, as more fully described under the item "Special Business" on page 12 of the Circular. The revised version of the Plan will be filed on SEDAR including a black-lined version, and will be available to shareholders at the Meeting and upon request to the Vice-President, Finance and CFO of the Corporation.

FORWARD LOOKING INFORMATION

This news release contains forward-looking statements that involve substantial known and unknown risks and uncertainties. These forward-looking statements are identified by their use of terms and phrases such as "anticipate", "achievable", "believe", "expect", "estimate", "plan", "intend", "project", "may", "should", "could", "predict", "will", or similar words suggesting future outcomes or language suggesting an outlook. Forward-looking statements and information are based on CMG's current beliefs as well as assumptions made by and information currently available to CMG. Although management of CMG considers these assumptions to be reasonable based on information currently available to it, they may prove to be incorrect. Forward-looking statements are subject to many external variables and risks that are beyond CMG's control, including but not limited to the fact that there is no guarantee that ISS will issue a favourable voting recommendation following the Company's amendment of the Plan as per ISS's current guidelines.

About Computer Modelling Group Ltd.

Computer Modelling Group Ltd. is a computer software technology and consulting company serving the oil and gas industry. CMG, recognized by oil and gas companies worldwide as a leading developer of reservoir modelling software, has sales and technical support services based in Calgary, Houston, London, Caracas, Dubai, Bogota and Kuala Lumpur. CMG is the leading supplier of advanced processes reservoir modelling software in the world with a blue chip client base of international oil companies and technology centers in over 50 countries. The Company's shares are listed on the Toronto Stock Exchange under the trading symbol "CMG."

Contacts:
Computer Modelling Group Ltd.
Kenneth M. Dedeluk
President & CEO
(403) 531-1300
[email protected]

Computer Modelling Group Ltd.
Sandra Balic
Vice President, Finance & CFO
(403) 531-1300
[email protected]
www.cmgl.ca

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.

Latest 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 d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
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-c...
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, Le...
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 ...
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.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.