IBM Patents Real-Time Analytics for Cloud Data

Grazed from eWeek.  Author: Darryl K. Taft.

IBM announced it has patented an invention that enhances the use of analytics for assessing and directing data in a cloud computing environment, enabling more timely and efficient application processing and management. The IBM invention, U.S Patent #8,639,809, "Predictive Removal of Runtime Data Using Attribute Characterizing," analyzes data from a variety of sources to avoid performance lags and processing delays.

Since not all data is equal and resources for processing, storing and managing information are finite, real-time analytics can be useful in expediting this process, IBM said. "Processing data in a cloud is similar to managing checkout lines at a store—if you have one simple item to purchase, an express lane is preferable to waiting in line behind someone with a more complicated order," IBM Inventor Michael Branson, who co-invented the patented technique with John Santosuosso, said in a statement...

Cloud Computing: IBM Launches Public Beta Version of Watson Analytics

Grazed from Zacks. Author: Editorial Staff.

The recent launch comes after the private beta was made available in Sep 2014. To date, Watson Analytics has nearabout 22,000 registered members. The new service will be made available under a cloud-based freemium model through Apple's iOS, Google's Android services as well as through the web.

Watson is an artificially intelligent computer system capable of answering questions posed in natural language. Watson Analytics is a cognitive service and it automates the once time-consuming tasks such as data preparation, predictive analysis, and visual story-telling for business professionals...

Cloud Computing: Want to make data scientist money? Learn data science tools

Grazed from GigaOM. Author: Editorial Staff.

O’Reilly Media released the results of its second-annual data science salary survey on Thursday (available for free download here), and the results were not too surprising. Essentially, it shows that people who work with tools designed for big data, machine learning, statistical computing and cloud computing make more money — often between $20,000 and $30,000 more a year, based on median incomes — than people whose jobs only involve tools such as SQL and Excel.

In that regard, the survey doesn’t really tell us anything new. All the talk over the past couple years about competitive recruitment and high salaries for data scientists was true, and it was true precisely because companies want the people who know how to work with new technologies. They want this decade’s data scientists — people who can build AI systems or pipelines for streaming sensor data — not last decade’s data analysts...

Unlocking the potential of big data in the cloud

Grazed from Author: Editorial Staff.

Cloud computing and Big Data are the two top innovation hubs in ICT. Together they have the potential to become pivotal enhancers of social transformation and economic development for many years to come. Two ICT initiatives are filling technology headlines these days, promising to revolutionize computing, business practice, education and most areas of knowledge one can think of.

On the one hand, Big Data is an emerging paradigm for large scale distributed data management that aims at being able to process large amounts of data beyond the possibilities of traditional database technologies. On the other hand, cloud computing is born as a paradigm for distributed computing systems whose goal is to offer software as a service over the Internet...

Cloud Computing Applications vs. Workplace Security

Grazed from Midsize Insider. Author: Marissa Tejada.

New research indicates that cloud computing applications are proving to be a challenge for IT professionals. Part of the problem, it turns out, is that employees are overriding IT policies and bypassing the IT app approval process.

Keeping Up With the Growth

According to a recent report by GigaOM and CipherCloud featured in The Whir, cloud usage is predicted to grow 126.5 percent this year. Software as a Service (SaaS) in particular is predicted to grow at almost 200 percent. Yet IT professionals who have put an approval process in place are finding that 38 percent of employees are bypassing their security efforts, and 81 percent are using unauthorized SaaS applications. As a result, keeping track of cloud apps is a challenge...

Computerworld's 2015 Forecast Predicts Security, Cloud Computing And Analytics Will Lead IT Spending

Grazed from Forbes. Author: Louis Colombus.

IT spending for security technologies will increase 46% in 2015, with cloud computing increasing 42% and business analytics investments up 38%. . Enterprise investments in storage will increase 36%, and for wireless & mobile, 35%. Cloud computing initiatives are the most important project for the majority of IT departments today (16%) and are expected to cause the most disruption in the future.

IDG predicts the majority of cloud computing’s disruption will be focused on improving service and generating new revenue streams. These and other key take-aways are from recent IDG Enterprise research titled Computerworld Forecast Study 2015. The goal of the study was to determine IT priorities for 2015 in areas such as spending, staffing and technology. Computerworld spoke with 194 respondents, 55% of which are from the executive IT roles...

How big data is fueling a new age in space exploration

Grazed from VentureBeat.  Author: Ilya Golubovich.

In 2018, a group of organizations from all of the world will begin construction of the largest radio telescope ever built, the Square Kilometre Array (SKA).  With one million square meters of collecting area and enough optical fiber to wrap around the Earth twice, this marvel of modern engineering will be sensitive enough to detect airport radar on a planet 50 light years away.

SKA will also generate 700 terabytes of data every second, equivalent to roughly 35 times the data stored in the Library of Congress. At full capacity, the SKA’s aperture arrays are expected to produce 100 times more data than the entire Internet. It doesn’t take a rocket scientist to realize that such a deluge of information creates a big data problem, perhaps the biggest we have ever encountered...

Netuitive Secures $6.5M for Cloud-based IT Analytics Platform

Grazed from TalkinCloud.  Author: Editorial Staff.

Netuitive this week said it has secured an additional $6.5 million in equity financing to accelerate the go-to-market strategy for its cloud-based IT analytics platform.

The Reston, Virginia-based technology provider that assists enterprises with managing the performance of critical business services and apps said its new product platform enables the cloud delivery of its behavior learning technology for both enterprise IT operations and the growing DevOps community...

Numerify Raises $15M in Venture Capital for Cloud-based Business Analytics

Grazed from TalkinCloud. Author: CJ Arlotta.

Numerify on Wednesday said it has raised $15 million in funding to continue building out its cloud-based business analytics product portfolio. Sequoia Capital led the Series B financing round, with participation from Lightspeed Venture Partners; Amit Singh, president of Google for Work; Deep Nishar, senior vice president of products and user experience at LinkedIn; and Lane Bess, former CEO of Palo Alto Networks.

The Cupertino, California-based company provides IT business analytics through Numerify360, its cloud-native platform that assists organizations with gaining visibility into IT assets through each stage of their productive use. Numerify said it will use the additional funds to expand its marketing sales and efforts, as it seeks to double the size of the company in the next year. It also plans to fill out its suite of cloud analytics applications...

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IBM introduces Watson Analytics, gives data science mass appeal

Grazed from CloudComputing. Author: James Bourne.

IBM has launched Watson Analytics, offering what is claimed as instant access to powerful big data visualisation and analytics capabilities to anyone in the business. Instead of using programming languages or complex algorithms on the front end, Watson interacts with the user in natural language and comprehends key questions, including ‘What are the key drivers of my product sales?’, ‘Which benefits drive employee retention the most?’ and ‘Which deals are most likely to close?’

“Watson Analytics produces results that explain why things happened and what’s likely to happen, all in familiar business terms,” a press release explains. “And as business professionals interact with the results, they can continuously fine tune questions to get to the heart of the matter.”...