April 23, 2012
NEW YORK, April 23 — High-tech companies are struggling to transform their traditional business models of shipping hardware products or packaged software to more complex business models of providing new services based on cloud computing, new Accenture research has found.
The research, summarized in a new report released today, Where the Cloud Meets Reality: Scaling to Succeed in New Business Models, included interviews with more than 40 senior executives from 30 companies that operate, or are building, Software-as-a-Service, Platform-as-a-Service or Infrastructure-as-a-Service cloud-based businesses. The goal was to develop deeper insights to help companies create approaches to successfully scale and operationalize these new cloud-based business models.
The research further revealed that many senior leaders lack a clear understanding of how the complexity of these new business models impacts operations in nearly every function of their companies. This disconnect will become increasingly important because most leading technology firms expect to generate revenue growth through five or more business models by 2015, several of which are likely to be based on cloud, the research concluded. These companies typically have two-to-three business models today.
"Growing cloud-based business models is highly strategic and an immense undertaking for high-tech companies," said Mitch Cline, global managing director with Accenture's Electronics & High-Tech group. "Companies face enormous operational challenges in determining how to support these new models and deliver the world-class experience demanded by enterprise customers, in particular. Companies aren't prepared today strategically or operationally to cope with the magnitude of disruption they're facing."
Accenture recommends that companies take these steps to help overcome the challenges:
"Executing these recommendations requires a dramatic departure from how most high-tech companies run today," Cline added. "Delivering to customers using a service business model is so fundamentally different than using a product business model that nearly all business operations need to be re-thought. As a result, high-tech companies need a coherent blueprint to make a successful shift to a services-centric business and to compete more nimbly with new cloud competitors. Chief operating officers in particular need to take more responsibility for forward-looking strategic planning and to develop sharply different capabilities and skills."
Methodology
Accenture conducted in-person and phone interviews with 30 companies from May 2011 through November 2011. The interviews focused on business unit executives as well as operations and IT executives, primarily in the high-tech industry. The research also included interviews with executives in communications and other technology-enabled companies. The interviews explored the challenges facing companies as they confront a future of providing Anything-As-a-Service (XaaS).
For a copy of Accenture's new report, Where the Cloud Meets Reality: Scaling to Succeed in New Business Models, go to www.accenture.com/new-business-models.
About Accenture
Accenture (NYSE: ACN) is a global management consulting, technology services and outsourcing company, with more than 246,000 people serving clients in more than 120 countries. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Accenture collaborates with clients to help them become high-performance businesses and governments. The company generated net revenues of US$25.5 billion for the fiscal year ended Aug. 31, 2011. Its home page is www.accenture.com.
-----
Source: Accenture
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Read more...
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.