Analytics

Unifying the big content, big data divide

Grazed from CCI.  Author: Mika Javanainen.

While cloud computing is credited with offering more effective ways to utilise applications, it can also further complicate the task of document and content management with the introduction of new sets of information silos.  Many companies are encountering issues with ‘dark data’ because they maintain multiple information silos in the cloud and on-premises that contain business-critical data sets that other systems cannot leverage. These repositories often contain massive amounts of Big Data (structured data) and Big Content (unstructured content).

To effectively connect these silos and ensure information workers have fast access to all of the content they need, it’s important to first understand their differences. Structured data (Big Data) is information that resides in various databases and business systems such as CRM and ERP solutions -- much of which is often maintained by different lines of business and isolated to specific users and applications...

Oracle's Cloud Business Grows on Big Data: Time to Invest?

Grazed from Nasdaq.  Author: Editorial Staff.

Oracle's third-quarter fiscal 2015 results gained significantly from the cloud business. The company's earnings surpassed the Zacks Consensus Estimate, while revenues came in line. We believe that the rapid adoption of engineered systems and cloud suites will drive the top line in 2015.

Oracle commands a dominant position in the enterprise software and database management system (DBMS) software market. According to market research firm Gartner, global spending on IT infrastructure is estimated to grow 2.4% to $3.8 trillion in 2015. Among infrastructure, DBMS is expected to gain significantly driven by Big Data and digitalization initiatives. We believe Oracle is positioned well in the DBMS software market to gain from this trend...

IBM, UK to Collaborate on Big Data

Grazed from Datanami.  Author:  George Leopold.

The British government and partner IBM are investing £300 million (more than $456 million) to promote big data and cognitive computing research aimed at helping U.K. businesses engage with customers and suppliers.

Among IBM’s contributions to the big data project announced this week is a package of technology and “onsite expertise” valued at £200 million, including access to its Watson cognitive computing platform and at least 24 IBM researchers. They will work with U.K. big data scientists...

Google cloud strategy focuses on analyzing big data

Grazed from ComputerWorld. Author: Sharon Gaudin.

Google may not have caught up to Amazon in the cloud market, but that's OK, according to a Google executive. The company is heading in a slightly different direction with cloud computing that involves helping customers analyze their data. "It's not about catching up to [Amazon]," said Brian Stevens, vice president of cloud platform at Google.

"It's not just about lifting and shifting servers and such. It's not about doing exactly the same thing you've been doing. It's about doing things in a new cloud way." That could change the way companies do business. It also could help Google become a cloud powerhouse. Stevens, who spoke with Computerworld during Google I/O, the company's annual developer conference, said he wants the company's cloud offering to do more than simply enable enterprises to stop buying their own servers...

Cloud Computing: IBM Watson gets smart in the oil refinery business

Grazed from ComputerWorld. Author: Joab Jackson.

Australian energy company Woodside Energy hopes to strike a gusher in its own backyard -- a gusher of information, that is. The company plans to improve the efficiency of its refinery plants by using IBM's Watson cognitive computing services to gather and share insights from its own engineers.

Woodside "wants to take the knowledge of their senior engineers and make it available, with the support of Watson, to a broader range of employees," said Ed Harbour, IBM vice president of the company's Watson Group. The two companies will partner to create a search engine, or "cognitive advisory service," that can be used by Woodside's engineering teams to ask complex questions about facilities management and design, according to IBM...

Cloud Based Analytics - Coming Clash of the Titans

Grazed from DataScienceCentral. Author: Naagesh Padmanaban.

From all indications, 2015 is well on its way to becoming the year of cloud computing. The feverish pitch of activities at key players on one hand and the data as well as observations of industry pundits affirm this. There are apparently a handful of reason to keep the IT industry leaders awake at night.

For starters, per , 2014 revenues for cloud services grew by 60 percent. The global cloud computing market, per Forrester, is expected to grow to over $191 billion by 2020. IDC also foresees a robust market for cloud computing services. The cloud computing stacks - Infrastructure as a service (Iaas), Platform as a service (Paas) and Software as a service (Saas) – are all driving the healthy cloud computing market growth...

Cloud Computing: Microsoft Is Crunching Huge Data To Foresee Traffic Jams Up To An Hour Before

Grazed from UberGizmo.com.   Author: Editorial Staff.

Traffic jams are a part of our everyday problems, and there is no denying that most of our time is spent suffering through these jams. How about we tell you that soon you will be able to foresee these jams! and No, it is not an April fool gimmick. Reportedly, Microsoft is working on a research that could forecast traffic jams.

The company has collaborated with the Federal University of Minas Gerais,which is among Brazil’s largest universities, to initiate the research project, known as Traffic Prediction Project. If all goes well, then we could foresee a jam up to an hour before it happens...

Why big data's big promises are finally within reach

Grazed from CloudTech. Author: Adam Spearing.

Let’s face it - until very recently big data has been a big letdown. Data warehouses and data analytics tools have historically proven difficult to design, build, and maintain. How much storage space will be necessary? How much data is there? What data management tools can the organisation afford and, just as important, what expertise is available in-house to build and run the data warehouse or data analytics platform?

InformationWeek recently outlined eight reasons why big data projects often fail. The article cited a survey from Gartner that found an astonishing 92% of organisations are stuck in neutral when it comes to their big data initiatives. Why? Because enterprises are spending a lot of money on big data technologies, or plan to, but don’t have the right skills or strategies in place to drive the initiatives forward...

Cloud makes enterprise-grade big data analytics widely available

Grazed from DataPipe.  Author: Chris Bateman.

The rise of big data analytics was a game-changer for just about every industry. For years, businesses have possessed tremendous amounts of raw, unstructured data that they thought was more or less unusable, as there was no way to glean valuable insight from the information in this form.

With advanced big data analytics, though, this was no longer the case. Quickly, enterprises began to leverage these big data resources, gaining unprecedented insight into their markets, as well as their own operations.  Now, increasingly, big data analytics' impact is growing, thanks to accelerating influence of cloud computing...

Predictive Process Analytics for Cloud Computing

Grazed from BackupTechnology.  Author: Editorial Staff.

Predictive process analytics assumes greater importance in cloud computing scenarios. This is especially so, as processes are executed over the Internet and they are accessed by users from multiple locations with varying levels of bandwidth and connectivity.  It is important to find answers to all of the following questions:

• How well do these processes execute?
• What are the problems being experienced by users?
• What glitches can we expect to face in the future with these same processes in place?
• What needs to be done to ensure that the processes execute as desired?...