|By Business Wire||
|January 29, 2014 08:15 AM EST||
Adaptive Computing, the company that powers many of the world’s largest private/hybrid cloud and technical computing environments with its Moab optimization and scheduling software, today announced its top predictions on the future of computing and big data analytics for 2014 and beyond. Adaptive Computing’s predictions encompass several emerging trends – including the collision of cloud computing, High-Performance Computing (HPC) and big data – that are expected to accelerate the ways enterprises extract insights from their data.
Adaptive Computing solidified its predictions after new findings from a hands-on survey the company recently conducted in Q4 of 2013 at the Supercomputing, HP Discover and the Gartner Data Center conferences in December 2013. More than 400 data center managers, administrators and users participated in the Adaptive Computing survey from a number of vertical markets, including education, oil and gas, financial and insurance services, government, manufacturing, technology software and telecommunications.
“The speed, accuracy and cost at which enterprises can process big data analytics is the new competitive battleground, and we expect the need for results to greatly impact computing in 2014 and beyond,” said Rob Clyde, CEO of Adaptive Computing. “In our estimation, big data requires a streamlined approach to a complex data analysis and simulation process that can manage all resources across multiple computing platforms. Because Moab can broker resources over HPC, cloud and big data platforms and optimize data center resources by efficiently scheduling compute jobs, it is uniquely positioned to enable the enterprise to better leverage big data for game-changing, data-driven decisions.”
Adaptive Computing’s 2014 predictions include:
- Enterprises will combine computing resources for a better big data solution. According to Adaptive Computing’s survey, 91 percent of organizations believe some combination of big data, HPC or cloud should occur. As the collision of cloud computing, HPC and big data intensifies, Adaptive Computing predicts that organizations will gain a competitive advantage by investing in software capable of scheduling and optimizing data center resources, which increases utilization by simultaneously orchestrating compute jobs over multiple computing platforms.
- More organizations will turn to HPC as a big data solution. According to Adaptive Computing’s survey, 44 percent of organizations use HPC as a big data solution. As HPC hardware costs continue to decrease, Adaptive Computing forecasts that HPC will become an attainable big data solution for more organizations, including midmarket enterprise companies.
- Big data analysis process will become more automated. The majority of organizations (84 percent) have a manual process to analyze big data, according to Adaptive Computing’s survey. A manual approach is time-consuming and typically results in underutilized, siloed computing environments, which explains why 90 percent of survey respondents would achieve greater satisfaction from a better analysis process or workflow. To process simulations and data analysis more effectively, Adaptive Computing predicts that more organizations will automate the workflow, minimizing costly and error-prone manual work.
- The volume and complexity of big data workflows will begin to impact businesses on a larger scale. Adaptive Computing’s survey found that 72 percent of organizations believe workflow impacts their business. This is due to the complexities that accompany setting up different types of data sets and databases, and the corresponding application needed for each job. Running compute- and data-intensive big data workflows with no automation tends to cause logjams and delay results. Adaptive Computing foresees greater emphasis on automating workflows to eliminate logjams and help extract key information from big data, accelerating insights for the business.
- More efficient big data analytics will increase revenue streams. Research published by Gartner in January 2014 titled “User Survey Analysis: Driving Efficiency and Reducing Cost Is King When It Comes to Decision Making for New Technology Solutions” found that ”mobility, big data and analytics were rated as being of greater importance to an organization’s strategy than social.” “This aligns well with the data received from a recent vendor survey conducted by Gartner in which 2,015 providers expect analytics to account for three times the revenue stream of social.” Adaptive Computing predicts that big data analytics will drive greater revenue by increasing efficiency, reducing internal costs and enabling new business models.
To learn more about Adaptive Computing, visit www.adaptivecomputing.com.
About Adaptive Computing
Adaptive Computing powers many of the world’s largest private/hybrid cloud and technical computing environments with its award-winning Moab optimization and scheduling software. Moab enables large enterprises in oil and gas, financial, manufacturing, research and government to perform simulations and analyze Big Data faster, more accurately and most cost effectively. Moab gives enterprises a competitive advantage, inspiring them to develop cancer-curing treatments, discover the origins of the universe, lower energy prices, manufacture better products, improve the economic landscape and pursue game-changing endeavors. Adaptive is a pioneer in private/hybrid cloud, technical computing and large-scale scheduling, holding 30+ patents. Adaptive’s flagship products include:
For more information, call (801) 717-3700 or visit www.adaptivecomputing.com.
NOTE TO EDITORS: If you would like additional information on Adaptive Computing and its products, please visit the Adaptive Computing Newsroom at http://www.adaptivecomputing.com/category/news/. All prices noted are in U.S. dollars and are valid only in the United States.
Enterprises have been using both Big Data and virtualization for years. Until recently, however, most enterprises have not combined the two. Big Data's demands for higher levels of performance, the ability to control quality-of-service (QoS), and the ability to adhere to SLAs have kept it on bare metal, apart from the modern data center cloud. With recent technology innovations, we've seen the advantages of bare metal erode to such a degree that the enhanced flexibility and reduced costs that cl...
Oct. 27, 2016 11:15 AM EDT Reads: 523
All clouds are not equal. To succeed in a DevOps context, organizations should plan to develop/deploy apps across a choice of on-premise and public clouds simultaneously depending on the business needs. This is where the concept of the Lean Cloud comes in - resting on the idea that you often need to relocate your app modules over their life cycles for both innovation and operational efficiency in the cloud. In his session at @DevOpsSummit at19th Cloud Expo, Valentin (Val) Bercovici, CTO of So...
Oct. 27, 2016 11:15 AM EDT Reads: 2,226
Intelligent machines are here. Robots, self-driving cars, drones, bots and many IoT devices are becoming smarter with Machine Learning. In her session at @ThingsExpo, Sudha Jamthe, CEO of IoTDisruptions.com, will discuss the next wave of business disruption at the junction of IoT and AI, impacting many industries and set to change our lives, work and world as we know it.
Oct. 27, 2016 11:00 AM EDT Reads: 190
With an estimated 50 billion devices connected to the Internet by 2020, several industries will begin to expand their capabilities for retaining end point data at the edge to better utilize the range of data types and sheer volume of M2M data generated by the Internet of Things. In his session at @ThingsExpo, Don DeLoach, CEO and President of Infobright, discussed the infrastructures businesses will need to implement to handle this explosion of data by providing specific use cases for filterin...
Oct. 27, 2016 11:00 AM EDT Reads: 3,047
Security, data privacy, reliability, and regulatory compliance are critical factors when evaluating whether to move business applications from in-house, client-hosted environments to a cloud platform. Quality assurance plays a vital role in ensuring that the appropriate level of risk assessment, verification, and validation takes place to ensure business continuity during the migration to a new cloud platform.
Oct. 27, 2016 11:00 AM EDT Reads: 2,083
In past @ThingsExpo presentations, Joseph di Paolantonio has explored how various Internet of Things (IoT) and data management and analytics (DMA) solution spaces will come together as sensor analytics ecosystems. This year, in his session at @ThingsExpo, Joseph di Paolantonio from DataArchon, will be adding the numerous Transportation areas, from autonomous vehicles to “Uber for containers.” While IoT data in any one area of Transportation will have a huge impact in that area, combining sensor...
Oct. 27, 2016 11:00 AM EDT Reads: 1,138
In his session at Cloud Expo, Robert Cohen, an economist and senior fellow at the Economic Strategy Institute, will provide economic scenarios that describe how the rapid adoption of software-defined everything including cloud services, SDDC and open networking will change GDP, industry growth, productivity and jobs. This session will also include a drill down for several industries such as finance, social media, cloud service providers and pharmaceuticals.
Oct. 27, 2016 10:30 AM EDT Reads: 2,076
DevOps is speeding towards the IT world like a freight train and the hype around it is deafening. There is no reason to be afraid of this change as it is the natural reaction to the agile movement that revolutionized development just a few years ago. By definition, DevOps is the natural alignment of IT performance to business profitability. The relevance of this has yet to be quantified but it has been suggested that the route to the CEO’s chair will come from the IT leaders that successfully ma...
Oct. 27, 2016 10:30 AM EDT Reads: 16,635
We are always online. We access our data, our finances, work, and various services on the Internet. But we live in a congested world of information in which the roads were built two decades ago. The quest for better, faster Internet routing has been around for a decade, but nobody solved this problem. We’ve seen band aid approaches like CDNs that attack a niche's slice of static content part of the Internet, but that’s it. It does not address the dynamic services-based Internet of today. It doe...
Oct. 27, 2016 10:15 AM EDT Reads: 2,036
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable. In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
Oct. 27, 2016 10:15 AM EDT Reads: 3,212
What happens when the different parts of a vehicle become smarter than the vehicle itself? As we move toward the era of smart everything, hundreds of entities in a vehicle that communicate with each other, the vehicle and external systems create a need for identity orchestration so that all entities work as a conglomerate. Much like an orchestra without a conductor, without the ability to secure, control, and connect the link between a vehicle’s head unit, devices, and systems and to manage the ...
Oct. 27, 2016 10:15 AM EDT Reads: 1,398
DevOps is being widely accepted (if not fully adopted) as essential in enterprise IT. But as Enterprise DevOps gains maturity, expands scope, and increases velocity, the need for data-driven decisions across teams becomes more acute. DevOps teams in any modern business must wrangle the ‘digital exhaust’ from the delivery toolchain, "pervasive" and "cognitive" computing, APIs and services, mobile devices and applications, the Internet of Things, and now even blockchain. In this power panel at @...
Oct. 27, 2016 09:15 AM EDT Reads: 2,156
By now most people have either created their configuration management solution or are just embarking on this journey. In his session at @DevOpsSummit at 19th Cloud Expo, Marco Ceppi, a DevOps Engineer working at Canonical, will discuss how to take configuration management to the next level with modelling and orchestration. He will also discuss how and why people are moving from a machine-centric view to a service/application-oriented view of deployments, and how you can leverage the knowledge a...
Oct. 27, 2016 09:00 AM EDT Reads: 2,050
@ThingsExpo has been named the Top 5 Most Influential M2M Brand by Onalytica in the ‘Machine to Machine: Top 100 Influencers and Brands.' Onalytica analyzed the online debate on M2M by looking at over 85,000 tweets to provide the most influential individuals and brands that drive the discussion. According to Onalytica the "analysis showed a very engaged community with a lot of interactive tweets. The M2M discussion seems to be more fragmented and driven by some of the major brands present in the...
Oct. 27, 2016 08:45 AM EDT Reads: 11,585
In the 21st century, security on the Internet has become one of the most important issues. We hear more and more about cyber-attacks on the websites of large corporations, banks and even small businesses. When online we’re concerned not only for our own safety but also our privacy. We have to know that hackers usually start their preparation by investigating the private information of admins – the habits, interests, visited websites and so on. On the other hand, our own security is in danger bec...
Oct. 27, 2016 08:15 AM EDT Reads: 527