Posts Tagged ‘Big Data’

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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IBM Taps Global Network of Innovation Centers to Fuel Linux on Power Systems for Big Data and Cloud Computing

ibmCHICAGO, Aug. 22, 2014 /PRNewswire/ — At the LinuxCon North America conference last week, IBM (NYSE: IBM) announced it is tapping into its global network of over 50 IBM Innovation Centers and IBM Client Centers to help IBM Business Partners, IT professionals, academics, and entrepreneurs develop and deliver new Big Data and cloud computing software applications for clients using Linux on IBM Power Systems servers. Read more

Gartner Reports ‘Internet of Things’ Tops the Technology Hype Cycle

Gartner_2014-2Gil Press of Forbes reports, “Gartner released last week its latest Hype Cycle for Emerging Technologies. Last year, big data reigned supreme, at what Gartner calls the ‘peak of inflated expectations.’  But now big data has moved down the ‘trough of disillusionment’ replaced by the Internet of Things at the top of the hype cycle.  In 2012 and in 2013 Gartner’s analysts thought that the Internet of Things had more than 10 years to reach the ‘plateau of productivity’ but this year they give it five to ten years to reach this final stage of maturity. The Internet of Things, says Gartner, ‘is becoming a vibrant part of our, our customers’ and our partners’ business and IT landscape’.” Read more

EverString Raises $12M to Bring Machine Learning to Clients

logo-esJonathan Vanian of GigaOM reports, “EverString, a big data startup that helps companies identify prospective sales leads and new clients though predictive analytics, has raised $12 million in a series A funding round. Lightspeed Venture Partners led the round, which also included existing investors Sequoia Capital and IDG Ventures. While there are a host of marketing analytics services in the market like Silverpop and Eloqua that businesses use to aggregate numerous sales leads and find potential customers, EverString’s technology goes beyond whatever data is hosted internally within a company and branches out to the open web, explained EverString’s co-founder and CEO, Vincent Yang.” Read more

Startup Adatao Raises $13M to Bring Search to Big Data

adataoDeborah Gage of The Wall Street Journal reports, “Making big data stores as easy to search as Internet data has been a holy grail for the software industry, and it’s become a more pressing problem since the growth of the big data software Hadoop, which holds enormous amounts of data. Adatao Inc., a startup based in Sunnyvale, Calif., has raised nearly $13 million in Series A funding led by Andreessen Horowitz to take on the challenge. Founded in 2012 by veterans of Google Inc., Yahoo Inc. and the Army Research Lab, the company combines machine learning, natural language processing and in-memory (i.e. fast) computing to create a system in which users can write queries in ordinary English or one of several computer languages-—Smart Query, SQL, Scala, Java, Python or R–and get results in less time than it takes to speak their questions.” Read more

Big Data Holds Great Power, But Only if You Know How to Mine It

27498728_b84f8817aaChloe Green of Information Age recently wrote, “Handling immense data sets requires a combination of scientific and technological skills to determine how data is stored, searched and accessed. In science, the importance of data scientists in ensuring that data is handled correctly from the outset is not underestimated; other industries can learn from the scientific approach. Text-mining tools and the use of relevant taxonomies are essential. If we think about big data as a huge number of data points in some multi-dimensional space, the problem is one of analysis, i.e. frequently finding very similar or very dissimilar points which cannot be compared. In life sciences, taxonomies assign data points a class, thus comparison of two points is as easy as looking up other data points in the same class.” Read more

How Natural Language Processing and Big Data are Making Sense of Consumer Behavior

ATTENSITY LOGODana Gardner of CRM Buyer recently wrote, “The power of Big Data technology is being successfully applied to understanding such complex unknowns as consumer sentiment and even intent. That understanding then vastly improves how retailers and myriad service providers manage their users’ experiences — increasingly in real time. Fortunately, today’s consumers are quite willing to share their intents and sentiments via social media, if you can gather and process the information. Hence the rapidly developing field of social customer relationship management, or Social CRM.” Read more

How the Internet of Things is Delivering Smarter Choices

8528725328_ffe4ba4283Sarah Austin, founder of Peak Energies recently wrote for Forbes, “The Valley bubble seems obsessed with the Internet of Things. Things are getting smarter. Devices talk to each other and people are now starting to talk to them. Things are evolving to make decisions, gather information and just take care of stuff for us. For a lot of people, it sounds too crazy. But we already benefit from the start of this shift. Take a Thai restaurant for example. You ask your phone to find you nearby Thai food, and it gives you a list of options. But why doesn’t it filter out obviously bad ones? Or determine that it only need show the closest location of the restaurant chain, and that if two places have a nearly identical menu, but one is 20 percent more expensive and a mile further away, it shouldn’t come up in your immediate results? This is the future of tech. As humans, we want choices, but we don’t want 100 choices. Read more

SPARQL And NoSQL: A Match On Many Levels

site-header-10th-blog-304x200Is SPARQL the SQL for NoSQL? The question will be discussed at this month’s Semantic Technology & Business Conference in San Jose by Arthur Keen, vp of solution architecture of startup SPARQL City.

It’s not the first time that the industry has considered common database query languages for NoSQL (see this story at our sister site Dataversity.net for some perspective on that). But as Keen sees it, SPARQL has the legs for the job. “What I know about SPARQL is that for every database [SQL and NoSQL alike] out there, someone has tried to put SPARQL on it,” he says, whereas other common query language efforts may be limited in database support. A factor in SPARQL’s favor is query portability across NoSQL systems. Additionally, “you can achieve much higher performance using declarative query languages like SPARQL because they specify the ‘What’ and not the ‘How’ of the query, allowing optimizers to choose the best way to implement the query,” he explains.

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