Welcome!

News Feed Item

Adaptive Computing Reveals Top Predictions for 2014 on Big Data Computing

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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:

Moab Cloud Suite for self-optimizing cloud management

Moab HPC Suite for self-optimizing HPC workload management

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.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...
DevOps promotes continuous improvement through a culture of collaboration. But in real terms, how do you: Integrate activities across diverse teams and services? Make objective decisions with system-wide visibility? Use feedback loops to enable learning and improvement? With technology insights and real-world examples, in his general session at @DevOpsSummit, at 21st Cloud Expo, Andi Mann, Chief Technology Advocate at Splunk, explored how leading organizations use data-driven DevOps to close th...
Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams. In his session at 22nd Cloud Expo | DXWorld Expo, Daniel Jones, CTO of EngineerBetter, will answer: How can we improve willpower and decrease technical debt? Is the present bias real? How can we turn it to our advantage? Can you increase a team’s effective IQ? How do DevOps & Product Teams increase empathy, and what impact does empath...
As many know, the first generation of Cloud Management Platform (CMP) solutions were designed for managing virtual infrastructure (IaaS) and traditional applications. But that's no longer enough to satisfy evolving and complex business requirements. In his session at 21st Cloud Expo, Scott Davis, Embotics CTO, explored how next-generation CMPs ensure organizations can manage cloud-native and microservice-based application architectures, while also facilitating agile DevOps methodology. He expla...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, discussed how given the magnitude of today's application ...
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
There is a huge demand for responsive, real-time mobile and web experiences, but current architectural patterns do not easily accommodate applications that respond to events in real time. Common solutions using message queues or HTTP long-polling quickly lead to resiliency, scalability and development velocity challenges. In his session at 21st Cloud Expo, Ryland Degnan, a Senior Software Engineer on the Netflix Edge Platform team, will discuss how by leveraging a reactive stream-based protocol,...
Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophistica...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and B...
In his general session at 21st Cloud Expo, Greg Dumas, Calligo’s Vice President and G.M. of US operations, discussed the new Global Data Protection Regulation and how Calligo can help business stay compliant in digitally globalized world. Greg Dumas is Calligo's Vice President and G.M. of US operations. Calligo is an established service provider that provides an innovative platform for trusted cloud solutions. Calligo’s customers are typically most concerned about GDPR compliance, application p...
Digital transformation is about embracing digital technologies into a company's culture to better connect with its customers, automate processes, create better tools, enter new markets, etc. Such a transformation requires continuous orchestration across teams and an environment based on open collaboration and daily experiments. In his session at 21st Cloud Expo, Alex Casalboni, Technical (Cloud) Evangelist at Cloud Academy, explored and discussed the most urgent unsolved challenges to achieve f...
"Digital transformation - what we knew about it in the past has been redefined. Automation is going to play such a huge role in that because the culture, the technology, and the business operations are being shifted now," stated Brian Boeggeman, VP of Alliances & Partnerships at Ayehu, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.