Posts Tagged ‘the cloud’

NASA Moves to the Cloud


Kathleen Hickey of reports, “NASA’s OpenNEX is one of the latest federal research projects moving to the cloud to improve collaboration with the academic, public and private sectors. In doing so, the space agency is using Amazon Web Services to make terabytes worth of climate and Earth science data available to researchers, app developers, academia and the public. The first data sets became available in March and include temperature, precipitation and climate change projections, as well as data processing tools fromNASA’s Earth Exchange (NEX), a research and collaboration platform from  NASA’s Advanced Supercomputing Facility at Ames Research Center in California.” Read more

Amazon Turns to Germany for Cloud & Machine Learning Engineers

David Meyer of GigaOM reports, “Amazon has announced the launch of a new development center for cloud technologies in Germany, with locations in both Berlin and Dresden. According to a statement from the company, the 70-plus engineers that Amazon will hire will work on technologies for supporting various hypervisors, management tools and operating systems. This is effectively a major expansion of the development team Amazon has already had in Germany since buying Berlin-based Peritor last year – a purchase that led to the release of the OpsWorks devops toolkit this February.” Read more

fluidOps Showcases Platform for Linked Data Applications at SemTechBiz 2013

Walldorf, Germany (PRWEB) April 22, 2013 — fluid Operations (fluidOps), leading provider of cloud and data management solutions based on semantic technologies, today announced its participation in this year’s Semantic Technology & Business Conference (SemTechBiz) taking place June 2 to 5 in San Francisco, USA. SemTechBiz brings together today’s industry thought leaders and practitioners to explore the challenges and opportunities jointly impacting both corporate business leaders and technologists.

During the event, fluid Operations representatives will be presenting and demonstrating the Information Workbench, a platform for cloud-based data management that capitalizes on Linked Data, semantic technologies, cloud and virtualization technologies, and allows partners and customers to build innovative Linked Data applications and customized solutions. Read more

Convergence of Semantic Tech, Cloud, Hadoop, & NoSQL Spurring Big Data

Rutrell Yasin recently wrote that a convergence of growing technologies, including semantic web technologies, will spur exciting Big Data projects in 2013. Yasin writes, “The maturity and convergence of four technologies will help government decision-makers derive more value from their big data projects in 2013, predicts Chris Biow, public sector CTO at MarkLogic, a developer of databases for big data applications. ‘Cloud computing, Hadoop and NoSQL databases are the three game-changing technologies that are being applied to big data,’ Biow said. ‘I think this is the year that government agencies get their hands around what each of them can and cannot do.’ Semantic technology is the fourth discipline to add to the equation, which can be used to extract facts from structured and unstructured data as well as handle relationships between data in a more flexible way than traditional relational databases, Biow said during an interview with GCN.” Read more

Bringing Together the Cloud & Semantic Tech

Eric Little of Bio-ITWorld recently discussed how private cloud technologies can be used to improve semantic technologies. He writes, “While semantic technologies provide a sophisticated way of modeling complex relationships between data, the graphs that are created within semantic solutions can quickly grow to enormous sizes, given that they capture not only the elements contained within an enterprise’s raw data, but the added litany of related facts and relationships generated by automated reasoning, where 10-100 times as much new data can be generated from a single data source. As an example, imagine taking one’s raw assay data on a given compound, then linking it to all known data about related clinical studies and phenotypic effects, as well as underlying genomics data.” Read more

Concept Searching Tech Now Available in the Cloud

According to a new article out of the company, “Concept Searching, a global leader in semantic metadata generation, auto-classification, and taxonomy management software, and developer of the Smart Content Framework™, is pleased to announce that its technologies are available on both Microsoft Office 365 Software as a service (SaaS) platform and Amazon Web Services (AWS) platform as a service (PaaS) and will be demonstrated at the SharePoint Conference 2012, November 12th-15th, in Las Vegas, Nevada, at booth 957. Concept Searching has now deployed its technology platform on both the Microsoft Office 365 and the Amazon Web Services (AWS) platform, and is able to offer clients a single code base to deploy offerings with increased flexibility whilst mitigating risk. Find full details in the ‘Managing Unstructured Content in the Cloud’ White Paper.” Read more

Capitalizing on Data without Doing the Dirty Work

Derrick Harris reports that as data continues to explode, business owners don’t need to rush back to school for a degree in Big Data analytics in order to capitalize on it. He writes, “Machine learning is high data science — a discipline focused on algorithms that automatically detect complex patterns hidden within datasets — and it’s fast becoming something that anyone leverages to sell more handbags, or solve a research problem, or build the next LinkedIn or Facebook… If you’re a small business or maybe even an individual, you need something easier. You need something in the cloud. And you need someone else to handle the hard parts.” Read more

Data Abstractions & the Cloud

Phil Windley, CTO of Kynetx, recently shared his insights regarding data abstractions and the cloud. Windley writes, “One of the primary services of a cloud OS (COS) will be data abstraction. Traditional operating systems provide data abstraction services by presenting programs and users with a file system view of the data stored in the sectors of the disk. We have the same kind of data abstraction opportunities in the cloud, although we aren’t talking about translating sectors into files, of course. And like the access control problem we discussed earlier, the problems that a cloud OS faces are made more complex by the distributed location and control of the data we want to access.” Read more

Looking Down the Road at Apple

David Siegel, author of Pull and a former SemTechBiz keynote speaker, recently shared his thoughts regarding the future of Apple, the cloud, and data in general. Siegel states, “The consumer’s electronic world as we know it today is shared between Apple, Google, Facebook, Twitter, and a handful of other popular brands. Most offerings must ride on these platforms and play by their rules. Yet I believe our current interest in—and use of—this ecosystem will peak in 3-6 years, and what awaits each of these companies on the other side must be a completely different business.”

He continues, “We have spent the last twenty years making everything digital, and now that transformation is 99 percent complete. Read more

Taming Big Data with Semantic Technologies

Steve Hamby recently attested that semantic technology is one of the three main solutions that has shown success at taming Big Data, the other two being cloud computing and natural language processing. Hamby writes, “The May 2001 Scientific American article ‘The Semantic Web’ by Tim Berners-Lee, Jim Hendler, and Ora Lassila described the Semantic Web as agents that query ontologies representing human knowledge to find information requested by a human. OWL ontology is based on Description Logics, which are both expressive and decidable, and provide a foundation for developing precise models about various domains of knowledge.” Read more