Information Delivery Leaders Like PolySpot Light Way for Big Data Software Development
October 29, 2012
The influx of big data in a variety of industries has created a myriad of effects ranging from legal and privacy to business and money. A recent Inc article, “Big Data, Big Money: IT Industry to Increase Spending” discusses the latter. A recent study by research firm Gartner is highlighted in the article. The report said spending will reach $28 billion in 2012 and $34 billion in 2013.
To add to the significance, by 2016, big data technology will account for $232 billion of worldwide IT spending. If it is not already a standardized requirement in information management practices, it is on its way to becoming just that.
We more from the article about this high-growth sector:
While most current spending goes toward adapting traditional software to big data technology, 45% of future spending each year will go to social network analysis and content analytics, the study noted. Gartner also projected that development in “big data functionality” (which can be defined as, essentially, turning big data into something functional) will drive $4.3 billion in software sales in 2012.
An increase in software sales is, of course, a welcome development in the larger scale economy, but it is also good news for improvement in software developments. Leaders in information delivery such as PolySpot are lighting the way for many more to follow.
Megan Feil, October 29, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
IntelTrax Summary: October 19 to October 25
October 29, 2012
This week, the IntelTrax advanced intelligence blog published some interesting stories related to big data’s influence over modern enterprises and higher education.
The article “Text Mining Brings Out the Value on Big Data” explains how companies are turning data volumes into increased profits. Many companies are choosing to automate the process through data analytics and text mining software.
The article states:
“Many companies haven’t begun to benefit from valuable enterprise text data,” said Fiona McNeill, Global Product Marketing Manager for SAS Text Analytics. “Most know that information in-house and in social media must be analyzed to bring value. SAS Text Analytics are being used for patient safety in healthcare, digital content performance in the media industry, early-warning systems and citizen intelligence in government and more. Nobody delivers the depth and breadth of technology for analyzing structured and unstructured data that SAS does.”
“Higher Ed for Big Data” reports on new programs meant to reinvigorate the tech work force and bring young talent to the industry.
According to the write-up:
“Colleges and universities are moving swiftly to create advanced degree programs to help meet what’s expected to be rapidly rising demand among employers for specialists who can manage and analyze big data.
The schools are likely aware of a McKinsey report warning of a mega-shortage of analytical experts that could leave as many as 190,000 positions unfilled by 2018. They’re also responding to appeals from big employers like IBM and SAS Institute that have been lobbying college administrators to set up such programs.
Schools have offered analytics training for years, but the emerging advanced degree programs add instruction in the use of analytic and business intelligence tools to produce useful information from petabytes of data collected from social media sites, sensors, transaction records, mobile applications and other sources.”
PepsiCo is another large company that has recently seen the value of data analytics. “PepsiCo Acquires a Taste for Data Analytics” shares an interview with PepsiCo‘s Global Chief Technology Officer and Senior Vice President of Business Information Solutions Caroline Watteeuw.
Watteeuw explains one of the company’s new products:
“We are betting on what we call SMAC. It is Social, Mobile, Advanced and Immersive Analytics, Cloud. There are a couple of things that are not relevant for PepsiCo but interesting. I call them comeback kids. If you go back 15 years when Xerox was at its peak, it was all about very precise ink-jet printers. Right now, people are trying to use ink-jet printer technology and refocus it on creating organs (researchers at the Wake Forest Institute for Regenerative Medicine, for instance, are using modified ink-jet technology to build tissue and organ prototypes). It is absolutely phenomenal. Then there are three dimensional maps. You have 3D TV, gaming and printing. 3D maps will allow you to navigate through different layers of geography to do oil and gas exploration in a very different way.”
For those who are interested in getting the most of their big data, there are a variety of companies out there offering cutting edge solutions. We recommend Digital Reasoning for their long standing reputation as a leader in big data analytics that pushes the envelope.
Jasmine Ashton, October 29, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
No Plunge Involved When Extracting Big Data Insights With PolySpot
October 26, 2012
What popular concept does not garner a lot of talk and buzz before the ball gets rolling? Big data is not unlike anything else. Action will come when planning around purchasing software and acquiring talent fall into place. No matter the level of hype businesses will rely on information provided by articles such as ZDNet‘s “Taking the Big Data Plunge a Challenge for Enterprise: Cisco.”
When this happens, IT architecture will no longer look the way it did in the traditional business analytics and application delivery model, which consisted of a compute tier, a storage tier, and networking. Architecture for big data is based on a scale-out model with multiple clusters of compute and storage units. Fortunately, there is not much change in hardware making the transformation to focusing on big data and easy and affordable one.
The article shared:
Regardless, organisations are still grappling with changes in the method of handling an influx of data, Cisco Consulting Systems Architect Adam Radford said, but it’s important to take advantage of big data, as it provides much more insight into things like internal operations and customer sentiments. However, big data and traditional analytics not only require different IT architectures, but approaches in retrieving information as well, he said.
There is one certainty: enterprise organizations want big data and they want the tools to make sense of it. As for recommendations, PolySpot has made a name for itself specializing in delivering information and insights.
Megan Feil, October 26, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Insights Roll in for Enterprises Using PolySpot Technologies that Deliver Information
October 23, 2012
Despite Big Data currently holding a secure place as a necessity for ROI in the enterprise world, there will always be skeptics about whether or not the workforce and technology are up to the challenge of extracting insights from such a mammoth. The latest soundbite of apprehension comes from ZDNet‘s recent article “Big Data’s Enterprise-readiness.”
The article stresses that software developers in the Big Data realm offer user interfaces designed for non-developers. These repositories show off the high level of investment that has gone into these solutions.
The article tells us:
One thing Big Data has on its side is a more flexible and agile approach to schema, allowing it to be defined at query/analysis time, thus removing some of the complexity and bureaucracy in curating the data. But the tooling for managing unstructured data is relatively immature, and data specialists in the enterprise are not conceptually accustomed to it. The long term potential for Big Data here is good, as it should shorten innovation cycles. But in the near term things just aren’t that actionable yet.
It is clear that we were reading a perspective that associates an intuitive user experience with a lack of enterprise-readiness. This way of thinking has no place in the current market where an efficient and easy to use interface equates to increased productivity. Let the insights roll in with big data solutions from companies such as PolySpot that deliver information to employees across the enterprise in this manner.
Megan Feil, October 23, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Let the Information Analysis Begin With Information Delivery from PolySpot Technologies
October 22, 2012
Another solution presents itself as the answer for enterprise productivity. This time a holistic and all-encompassing approach is taken by data management technology vendor Kapow. The CMS Wire article, “Kapow Katalyst v9.1: Big Data, Social Information Integration” discusses the upgrades that Kapow has made to their Kapow Katalyst platform.
According to the article, the fundamental goal of this technology is to integrate data and applications containing data – including both social and legacy applications – for the use of employees.
We learned:
It is entirely scalable, connecting legacy, cloud and social data to the organization, and in particular to the departments that need that data, such as sales and marketing. We have said in the past that your enterprise data is what gives your enterprise value. Here, it would probably be good to qualify that by saying your managed data is your enterprise value, and with so much Big Data floating around the social and cloud applications that your enterprise is using, anything that can help turn that data into a useable advantage is worth looking at.
Who can deny that a company needs ROI from data and supporting software solutions? Kapow technology is on par with others of its class, but there is no unique offerings that set it apart from the rest. On the other hand, PolySpot does more than manage data, they deliver information to employees that require access. It is with this innovative technology that companies can let the information analysis begin.
Megan Feil, October 22, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
IntelTrax Summary: October 12 to October 18
October 22, 2012
This week the IntelTrax advanced intelligence blog posted some informative stories regarding the state of big data analytics technology and its impact on marketers and retailers.
“Big Data Particularly Useful for Marketers” examines businesses can mine data that they are already collecting in order to increase revenue. The pressure to create a marketing strategy that is both customer and market driven is intense, and it has caused many marketers to turn to analytics solutions for aid:
“Marketing analytics used in conjunction with big data will help many organizations properly evaluate their marketing performance, gain insight into their clients’ purchasing habits, market trends and needs and make evidence-based marketing decisions. As one example, look at how politicians are using big data to identify their target audience and reach out to the so-called “silent majority.”
“Using Big Data Analytics to Predict Consumer Behavior” is another article that discusses the impact that big data analytics has on marketers. It examines changes in consumer behavior. Now, instead of marketers running the show, it is the customers who are leading market trends.
The article predicts:
“In the not-too-distant future, you will be able, for example, to change your contact information with many vendors at once, rather than many times, over and over, at many different websites. You will declare your own policies, preferences and terms of engagement—and do it in ways that can be automated both for you and the companies you engage. You will no longer have to “accept” agreements that aren’t worth reading because, as we all know, they cover the other party’s butt but expose yours.
In addition to your personal tool kit, you’ll have software that can knit together your apps with the services offered by companies, saving work for you and creating business for them—all in real time.”
Many smaller companies that are new to the analytics scene are choosing to invest in Google Analytics over some other solutions. “Google Analytics for Dummies” shares an article that provides a step-by-step look at how to use Google Analytics to determine the success of your sight.
However, the author explains:
“Google analytics are meaningless if you can not take the information it gathers and make necessary changes on your web site. Not everyone realizes this, but there are other companies out there that offer even more comprehensive analytics services than Google. Digital Reasoning has spent the past decade creating automated understanding for big data. Its flagship product Synthesys addresses big data challenges in the enterprise market – including Financial Services, Healthcare, Insurance Fraud, Electronic Discovery, and Enterprise Risk.”
Digital Reasoning is a company that has been working in the data analysis and management field to create a solution that takes the pressure off employees and automates the process. Synthesys is used by marketers worldwide to understand market trends and gain valuable insights into customer behavior.
Jasmine Ashton, October 22, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
IBM Reveals PureData System for Big Data Management
October 19, 2012
The article tells us more about the capabilities of the new system:
“The PureData System is designed to manage petabyes of data. According to IBM, it can manage up to 100 databases and can perform analytics in a matter of minutes versus hours to understand consumer purchases and other data-intensive tasks, such as detecting credit card fraud. It focuses on transactional applications such as e-commerce, customer analysis and analyzing operations.”
The benefits of this product could be monumental for enterprises attempting to manage the Big Data chaos. Intrafind a first integrator for IBM PureSystems, offering feature-rich solutions that make the best of an IBM Pure installation. Intrafind’s product, Semantic Metadata Generator 1.0, is used for “free tagging, controlled tagging, entity recognition and topic recognition of an unstructured text.” For more details on Intrafind, direct your browser here.
Andrea Hayden, October 19, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Big Data Creates Jobs and PolySpot Delivers Information
October 19, 2012
Big Data has been helping to increase efficiency and generate ROI for businesses, and now it might just help in lowering unemployment. Read Write Web’s article “Big Data Is Creating Big Job Demand” tells us that Big Data is opening the door to some computer savvy positions now and in the future.
Corporations are investing in employees that are proficient in software development and have a nice mix of IT related skills:
Even if you are not an engineer, many hiring managers want candidates to have a thorough understanding of the software development lifecycle. More development equals more QA or ensuring a project, product or service meets certain standards and satisfies requirements. Programming has been at the top of the career skills lists for quite a while, and there are no signs of this demand abating any time soon. Between big data and mobile-application demand alone, those who code well should have more employment opportunities for some time to come.
The innovative technologies keep developers in high demand and increase the need for skilled technical positions. Companies utilizing Big Data solutions that offer insight enabling infrastructure components such as PolySpot solutions will be set once the workforce is in place because these solutions deliver information securely to all employees.
Jennifer Shockley, October 19, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Search Technology Delivers Enterprise Information
October 18, 2012
Generic server markets are desperately trying to hang on to their hardware margins but the new competition comes with some renown. Corporations like IBM and Cisco are seizing opportunities to create a unified computing system that might just drive the smaller servers out of business according to GigaOM’s article “Does Big Data Really Need Custom Hardware?”.
IBM is using their built in expertise and reputation as leverage in attempt to corner the Big Data market:
There are many who think that data processing will require something above and beyond a typical x86 set up, such as a box from SeaMicro or Calxeda machine with low-power cores that are networked to work in parallel to parse many bits of data in small chunks. Others are thinking farther ahead and envision new architectures that mimic the human brain. These boxes aren’t about the whiz-bang tech inside; they’re an admission that services wrapped in a box are the main opportunity ahead for larger vendors.
Information management software already exists that can effectively and securely extract and enrich raw data within an enterprise-wide environment. The hook for IBM is to draw users to their other PureData services and push out the smaller companies. Enterprises have been relying on smaller scale developers such as Polyspot for information delivery solutions so it is unlikely that these innovative companies will be bullied out of their field of expertise, even by someone as colossal as IBM.
Jennifer Shockley, October 18, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Oracle Offers Integrated Big Data Engine
October 18, 2012
You need a big database engine and a lot of hardware so you can converge lots of big data. At least, that’s what Oracle hopes we will believe. V3.co.uk‘s reports, OpenWorld: Oracle Touts Converged Approach for Big Data.”
OpenWorld includes both hardware and software made to work together. This sort of integration is, after all, what Oracle has historically done best. The write up reports on comments from Oracle’s Balaji Yelamanchili:
“Yelamanchili explained that with the advent of in-memory analysis, which stores data in RAM rather than on a platter-based disk drive, appliances are able to operate on an exponentially faster magnitude without raising costs or sacrificing capacity. The Exalytics system stores up to 1TB of data in memory while running up to four Intel Xeon E7 processors. . . .
“Additionally, the company said that firms will benefit from combining the Exalytics platform with its ExaData server platform. Oracle has designed the two systems to connect via on-board Infiniband high-speed connections.”
This may be the right approach for businesses that can afford it. And that actually see a need for a powerful big-data engine. No doubt many companies fall into that column, and Oracle does tend to build reliable products.
However, Oracle president Mark Hurd seems to think every organization should want to buy his company’s system; “the data is coming whether you like it or not,” he says. Hmm. Is a state of alarm really a good place from which to make financial decisions?
Cynthia Murrell, October 18, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
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