Welcome!

Agile Computing Authors: Elizabeth White, Liz McMillan, Zakia Bouachraoui, Pat Romanski, Yeshim Deniz

News Feed Item

Onteco Corporation, ONTC, Closes Acquisition of Cyber Centers Worldwide Corporation

MIAMI, Nov. 8, 2012 /PRNewswire/ -- Onteco Corporation (OTC.QB: "ONTC"), (the "Company", or "Onteco"), announced today that it had closed its acquisition via a share exchange agreement with Cyber Centers Worldwide Corporation, a privately-held Florida corporation, ("CCW").

Under the terms of the agreement Onteco acquired all of the issued and outstanding capital stock of CCW, in exchange for a number of shares of preferred and common stock of Onteco. CCW is in the business of interactive social gaming on the Internet.

"This acquisition is but the first example of our plan to expand and diversify our 'portfolio of companies' in order to add shareholder value," said Dror Svorai, CEO of Onteco.  He added, "We believe that Cyber Centers Worldwide has the capability to rapidly grow our revenue in a fresh and innovative way while building excitement in the new social media marketplace."

About Cyber Centers Worldwide Corporation

Cyber Centers Worldwide Corporation, formerly named Cyber Centers International Corporation, is developer of interactive online gaming designed for consumer play via subscription through a computer or mobile device (e.g., cell phone).   Their online games are designed to be played across a number of software platforms.

About Onteco Corporation                                                                           

Onteco Corporation was founded to develop innovative, practical and cost-effective solutions to some of the most significant global environmental challenges.  Today, the Company is broadening its operational footprint into rapidly growing consumer markets, while continuing to focus on technologies to increase the efficient use of energy, and improve the recycling of consumer products.

Additional information about Onteco Corporation is available at: www.Onteco.com

Safe Harbor Statement:

This release includes "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934. Certain statements set forth in this press release constitute "forward-looking statements." Forward-looking statements include, without limitation, any statement that may predict, forecast, indicate, or imply future results, performance or achievements, and may contain the words "estimate", "project", "intend", "forecast", "anticipate", "plan", "planning", "expect", "believe", "will likely", "should", "could", "would", "may" or words or expressions of similar meaning. Such statements are not guarantees of future performance and are subject to risks and uncertainties that could cause the company's actual results and financial position to differ materially from those included within the forward-looking statements. Forward-looking statements involve risks and uncertainties, including those relating to the Company's ability to grow its business. Actual results may differ materially from the results predicted and reported results should not be considered as an indication of future performance. The potential risks and uncertainties include, among others, the Company's limited operating history, the limited financial resources, domestic or global economic conditions -- activities of competitors and the presence of new or additional competition and conditions of equity markets.

CONTACT:   Onteco Corporation

Dror Svorai, CEO, (305) 932-9795

 

SOURCE Onteco Corporation

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.

IoT & Smart Cities Stories
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...
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 ...
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...
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...
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.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...