Posts Tagged ‘Big Data’

Predixion Software Removes Barriers to Deployment of Predictive Analytics With Release of Predixion Insight 4.0

PredixionSoftware-logo-300x125NEW YORK, NY–(Marketwired – Oct 15, 2014) – Strata + Hadoop World, Booth #103 -Predixion Software, a developer of cloud-based predictive analytics software, today released Predixion Insight 4.0, the latest version of its powerful predictive analytics platform. The new release expedites the deployment of predictive analytics directly to the point of front-line decisions, and expands predictive capabilities across a wider variety of production environments, such as applications, databases, data stores, real-time engines, devices and machines. By removing barriers to deploying predictive analytics, Predixion Insight 4.0 enables companies to achieve the full potential of their data investments. Read more

Can Semantic Analysis Predict a Tsunami from Ripples?

svManju Bansal of the MIT Technology Review recently wrote, “The year was 1961. Computers were still in their infancy, and the race to the moon was just beginning. Edward Lorenz, an MIT meteorologist, was developing a weather- prediction model. Lorenz theorized that a miniscule occurrence, such as a tiny butterfly flapping its wings in the Amazon, could hypothetically set in motion a chain of events that could cause tornadoes to touch down in Texas a few days later. That model (illustrations of which visually resembled a butterfly) eventually came to be known as the butterfly effect.” Read more

Blurred Lines: RDBMS Vendors Will Add NoSQL Database Features

forrlogoResearch firm Forrester at the end of September issued its Forrester Wave: NoSQL Key-Value Databases, Q3 2014 report. The report looked at seven enterprise-class vendors in the space: Amazon Web Services, Aerospike, Basho Technologies, Couchbase, DataStax, MapR Technologies, and Oracle.

Noting that the current adoption of NoSQL is at 20 percent and is likely to double by 2017, Forrester principal analyst and report author Noel Yuhanna and his co-authors explain that top use cases for key-value database include social and mobile apps, scale-out apps, Web 2.0, line-of-business apps, big data apps, and operational and analytical apps.

That said, he also notes that the lines between key-value store, document database and graph database NoSQL solutions are blurring, as vendors look to satisfy broader enterprise needs and better appeal to app developers. “Relational database management system vendors, such as Oracle, IBM, Microsoft and SAP, will broaden their current relational database products to include key-value, graph and document features and functionality to deliver more comprehensive data management platforms in the coming years,” the report states.

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The Semantic Web Can Make Big Data Smarter

14929685492_e990eb8663Alok Prasad and Lee Feigenbaum of Cambridge Semantics recently wrote for CMS Wire, “Over the past few years, major enterprises have shown interest in combining semantic web technology with big data for added value. Let’s take a look at what enterprises are seeking and why they think semantic web can make big data smarter… In traditional big data IT solutions, the data model and the IT solutions are designed to address specific business needs and to handle specific data types and data sources. As the business needs and data sources change, the IT solutions no longer work and new data marts and new solutions must be built.” Read more

The Most In-Demand Big Data Jobs Available Right Now

B5150336351_ae2a64336a_bernard Marr recently wrote, “It’s been estimated that by 2015, almost two million people will be employed in big data jobs in the US. Hal Varian, Google’s chief economist, is quoted as saying “…the sexy job in the next 10 years will be statisticians” and Tom Davenport, Distinguished Professor at Babson College, believes that a data scientist has the sexiest job of the 21st century. So what are these sexy jobs? Here’s a quick look at some of the positions available today that might allow you to break into the glamorous and exciting world of the big data professionals.” Read more

Semantic Web Jobs: Orbis Technologies

Orbis is looking for a Software Developer – Cloud anOrbisd Big Data in Annapolis, MD. The post states, “Join a team oriented environment, participate in Scrum meetings, drive and execute technical various project phases from development through implementation of advanced web technology solutions for commercial and government clients. Many projects include integration of Open Source software with developed web services to create custom solutions for our clients. Develop high quality software designs and programs for customized customer solutions using Java. Use Agile/SCRUM methodologies and help implement semantic web technologies (OWL, RDF).” Read more

IBM’s New Watson Analytics Hopes to Bring Big Data to the Rest of Us

WatsonRon Miller of TechCrunch reports, “IBM today announced a new product called Watson Analytics, one they claim will bring sophisticated big data analysis to the average business user. Watson Analytics is a cloud application that does all of the the heavy lifting related to big data processing by retrieving the data, analyzing it, cleaning it, building sophisticated visualizations and offering an environment for communicating and collaborating around the data. And lest you think that IBM is just slapping on the Watson label because it’s a well known brand (as I did), Eric Sall, vp of worldwide marketing for business analytics at IBM  says that’s the not the case. The technology underlying the product including the ability to process natural language queries is built on Watson technology.” Read more

Big Data Review: What The Surveys Say

bd2Big Data has been getting its fair share of commentary over the last couple months. Surveys from multiple sources have commented on trends and expectations. The Semantic Web Blog provides some highlights here:

  • From Accenture Anayltics’s new Big Success With Big Data report: There remain some gaps in what constitutes Big Data for respondents to its survey: Just 43 percent, for instance, classify unstructured data as part of the package. That option included open text, video and voice. Those are gaps that could be filled leveraging technologies such as machine learning, speech recognition and natural language understanding, but they won’t be unless executives make these sources a focus of Big Data initiatives to start with.
  • From Teradata’s new survey on Big Data Analytics in the UK, France and Germany: Close to 50 percent of respondents in the latter two countries are using three or more data types (from sources ranging from social media, to video, to web blogs, to call center notes, to audio files and the Internet of Things) in their efforts, compared to just 20 percent in the UK.  A much higher percentage of UK businesses (51 percent) are currently using just a single type of new data, such as video data, compared with France and Germany, where only 21 percent are limiting themselves to one type of new data, it notes. Forty-four percent of execs in Germany and 35 percent in France point social media as the source of the new data. About one-third of respondents in each of those countries are investigating video, as well.

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Word To Developers: Power Your Apps With Data And Insights

aplogoApigee wants the development community to be able to seamlessly take advantage of predictive analytics in their applications.

“One of the biggest things we want to ensure is that the development community gets comfortable with powering their apps with data and insights,” says Anant Jhingran, Apigee’s VP of products and formerly CTO for IBM’s information management and data division. “That is the next wave that we see.”

Apigee wants to help them ride that wave, enabling their business to better deal with customer issues, from engagement to churn, in more personal and contextual ways. “We are in the business of helping customers take their digital assets and expose them through clean APIs so that these APIs can power the next generation of applications,” says Jhingran. But in thinking through that core business, “we realized the interactions happening through the APIs represent very powerful signals. Those signals, when combined with other contextual data that may be in the enterprise, enable some very deep insights into what is really happening in these channels.”

With today’s announcement of a new version of its Apigee Insights big data platform, all those signals generated – through API and web channels, call centers, and more – can come together in the service of predictive analytics for developers to leverage.

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RoadMap Your Text Analytics Initiative

analyticspixWhat best practices should inform your company’s text analytics initiatives? Executive Lessons on Modern Text Analytics, a new white paper prepared by: Geoff Whiting, principal at GWhiting.com and Alesia Siuchykava, project director at Data Driven Business provides some insight. Contributors to the lessons shared in the report include Ramkumar Ravichandran, Director, Analytics, at Visa and Matthew P.T. Ruttley, Manager of Data Science at Mozilla Corp

One of the interesting points made in the paper is that text analytics can be applied to many use cases: customer satisfaction and management effectiveness, product design insights, and enhancing predictive data modeling as well as other data processes. But at the same time, a takeaway is that it is better for text analytics teams to follow a narrow path than to try to accommodate a wide-ranging deployment. “All big data initiatives, and especially initial text analytics, need a specific strategy,” the writers note, preferable focusing on “low-hanging fruit through simple business problems and use cases where text analytics can provide a small but fast ROI.

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