Digital Reasoning Hits High Note with Opera Solutions
October 23, 2012
We just learned that Digital Reasoning’s Synthesys® system now integrates with Opera Solutions’ Signal Hub™ Technology. For those struggling with big data challenges, the center stage role of Digital Reasoning brings new agility to organizations.
Digital Reasoning™, one of the leaders in unstructured data analytics at scale, revealed a partnership with Opera Solutions. The Opera Solutions’ firm is one of the leading global big data science companies. This integration will expand Opera Solutions’ Signal Hub technology to include unstructured text analytics from Digital Reasoning’s Synthesys, providing a comprehensive Big Data solution for innovative enterprises.
Rob Metcalf, President and COO for Digital Reasoning, told ArnoldIT:
We are excited to make this important announcement at the Strata Conference in the heart of New York’s Financial District. Opera Solutions’ predictive analytics capabilities are a perfect complement with Digital Reasoning’s Synthesys, and together we look forward to unlocking valuable insights for customers in the financial industry and beyond.
According to Opera Solutions, the Digital Reasoning Synthesys technology provides advanced methods of extracting critical insights from email, research, Web content, and other unstructured data sources.
Laks Srinivasan, General Manager, Global Markets for Opera Solutions, told me:
When combined with the machine-learning science in our Signal Hub technologies, we can deliver directed actions to frontline decision makers focused on managing financial risk.
ArnoldIT’s analysis of Signal Hub technologies revealed that the system can extract critical signals from flows of big data. Opera Solutions’ technology is deployed at major organizations spanning industries such as financial services, healthcare, retail, and transportation. These organizations rely on Signal Hubs to optimize their supply chain, gain unique marketing insights, and stay ahead of financial risk with knowledge from both internal systems and external, unstructured sources.
Readers of Beyond Search know that Synthesys was developed in close conjunction with critical Big Data analytics challenges over the past decade. In 2012, Digital Reasoning gained momentum in financial services, healthcare, and legal markets, where automated understanding of unstructured data is a necessity.
Synthesys is a platform for making sense of unstructured data. Modeled after the human understanding process, Synthesys reads, resolves and reasons across hundreds of millions of documents to automatically understand and isolate critical information such as risks, opportunities and anomalies. Having solved problems for US intelligence agencies for the past decade, Synthesys is now delivering Automated Understanding for big data challenges in finance, healthcare and legal markets. Digital Reasoning is based outside of Nashville, Tennessee, with offices in Washington, D.C., and New York. For more information, visit http://www.digitalreasoning.com/.
Stephen E Arnold, October 23, 2012
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
Bitext Cracks the Sentiment Code for Salesforce Cloud Insights
October 22, 2012
Salesforce went social years ago. First, the company hired Steve Gilmore, a widely respected futurist and technology expert. Next, the company added various commenting and collaboration functions to the Salesforce platform. Now the company has taken the next logical step. Sentiment analysis has been added to the Salesforce Cloud Insights system.
The sentiment analysis capability answers such questions as:
- In a licensee’s content pool, what’s hot, what’s a problem, and what’s going right?
- How are customers’ sentiments trending over time or now?
- What customers are unhappy and why?
The Salesforce Marketing Cloud Command Center solution is the next generation of social engagement. By leveraging insights from the Marketing Cloud and more than 25 social analytics leaders, customers will derive deeper meaning from the millions of social conversations happening every day. The industry’s most comprehensive solution for managing social media engagement, the Social Command Center will provide customers with a new level of social media intelligence that will allow them to filter through the noise and quickly analyze large volumes of social data to generate actionable social intelligence and connect with customers in entirely new ways.
The engine for this innovative sentiment capability was developed by Bitext, based in Madrid, Spain. Unlike most companies, Bitext was designed to operate across languages. In one sense, Bitext approached semantic methods to operate without requiring the user to specify what language is being analyzed.
Bitext is a leading provider of OEM text analytics technology. Bitext develops semantic services for major European languages using a data-driven symbolic natural language processing system. Alongside integration into partner solutions including search, business intelligence and analytics, these services are available through two different channels: Bitext Consulting and the Bitext API, which provides a web service to open up the Bitext semantic technology to third-party developers.
As a result, Bitext Sentiment enables customers to harness the power of social intelligence and connect with customers in entirely new ways. Unlike the academic charts and often incomprehensible dashboards of confusing graphics, Bitext’s system outputs data which can be used to answer basic business questions quickly.
Any developer for Salesforce Marketing Cloud Insights or users of the system can tap the power of the unique Bitext innovations. Bitext Sentiment delivers multilingual sentiment analysis. The system is fueled by sophisticated semantic analysis. According to the founder of Bitext, Antonio Valderrabanos:
“We keep the technology behind the simple reports a business person or analyst needs. We focus on usability and delivering real time results, not confusion.”
Bitext’s system uncovers key insights or “info nuggets” from the millions of conversations that take place every day in social media.
He said in Madrid today:
Bitext can deliver information which can transform a company’s future. Our multilingual sentiment analysis in a real-time environment gives companies the opportunity to understand their customers better and faster than ever before.
ArnoldIT’s view is that most of the high profile industry solutions for sentiment analysis that are based on keyword spotting or machine learning. Stephen E Arnold, founder of ArnoldIT, said:
Most of the systems asserting intelligence based sentiment analysis simply fail to handle most of the subtleties of human language. This is especially true of complex languages like Spanish or Portuguese and even more so when the Latin American varieties of these languages are considered. Our research revealed that Bitext Sentiment was built from the ground up using processing techniques designed to handle the complexity of natural language. Bitext represents morphological variation and syntactic analysis via its proprietary rule-based system, Bitext Sentiment capture nuances of meaning more effectively than other systems we have examined.
Bitext Sentiment allows an organization to gauge whether their customers have concerns about the message they are receiving or are reacting positively. Such focused, easily understood information allows users of the Bitext system to act swiftly to engage in the most effective manner.
Selected Features of Bitext Sentiment
Bitext Sentiment is a robust solution. Of particular interest to organizations seeking to leverage their “big data” from customer support and social media are:
Sentiment analysis that works using sophisticated rule-based language analysis to solve challenges such as identification of positive or negative words that do not relate to the brand in question and sentiment words that change their meaning when combined with other words
Entity extraction collects as a single Insight all of the brands, companies, people and so on that people have referred to positively or negatively, making it easy to see which are the most important subjects in a set of online conversations.
Entities context (brands, companies, people etc.) that have the strongest positive and negative sentiments are extracted into separate Insights, making it easy to compare brands, people or products and see the majority of positive or negative comments are directed.
The dictionaries and grammars that power Bitext Sentiment are built specifically for each language and language variety. Sentiment analysis is customized for each different language, not built with a one-size-fits-all technique.
The initial set of languages for Salesforce will be Spanish and Portuguese. All varieties of Spanish (Latin America and European) and Portuguese (Brazilian and European). Upon request, the system can support English, French, Italian, Catalan, Basque, Dutch and German. Other languages can be added as required.
Stephen E Arnold, October 22, 2012
Beyond Search, the “real” beyond search I might add
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
Another Book for the Big Data Crowd
October 19, 2012
My goodness. I am delighted that I am not a real journalist or a real publisher. We continue to learn about discounted or free books. The most recent book information came to us via David Barber (Happy Quack, to you, sir). The book is Bayesian Reasoning and Machine Learning. If you are a big data fan, Bayes, the wily cleric, has become one of the go to tools for many big data and analytics outfits. When systems learn, the deft Bayes’s methods are in play. I would like to explain the interesting consequences of such methods, but for now, you can get the discount at this link. The free version is available at http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.Online
Stephen E Arnold, Beyond Search, a word pair now used by Microsoft, CNet, and Set Grimes. Well, well, well. Oops. That is a Markov chain trigger.
What Does Attivio and Its $34 Million Mean for Other Vendors?
October 16, 2012
Boston.com’s “Attivio Collects $34 Million in New Funding to Help Companies figure Out What They Know” caught the attention of the goslings here in Harrod’s Creek. I have spoken with several senior managers in the content processing and analytics space, and I can report that none of these individuals had his or her arms around the broader meaning of the $34 million Attivio landed.
Boston.com reported:
“One thing our software does is correlations,” Riaz explains. “You may have an unpaid invoice that belongs to Cisco, and we help you figure out that the reason its unpaid is that you may have all these support issues with them that you need to address.” Riaz says part of the appeal of Attivio’s software, which it calls the Active Intelligence Engine, is that “we can merge into their existing information infrastructure so that we’re adding value in days.”
What the reports of Attivio’s funding omits is the possible impact of the money on the search and content processing sector. Let me outline four consequences of this funding deal:
First, the competition is going to have to find a way to cope with Attivio’s marketing and sales activities. Attivio is a pretty good marketing operation. However, with additional funding, Attivio will be able to compete against its traditional competition and push into sectors which are more familiar with IBM- and Oracle-type solutions.
Second, the prospect pool for Attivio will grow. Money today works like catnip. Companies looking for a way to cope with distributed and fractionalized data will include Attivio in their short lists. Money works this magic.
Third, people who are working at smaller analytics firms or who are in a cube at a Google-type operation will consider Attivio as a job hop option. This means that smart people will gravitate to Attivio because it offers a green field opportunity.
Fourth, innovators are likely to knock on Attivio’s door. Raw invention is one thing, but turbo charging comes from learning about hot new systems and methods. I think Attivio will benefit from a flow of ideas from small outfits looking for a mover and shaker.
Good news for Attivio. Maybe some other investment firms will look at the information delivery sector and another hot prospect. Exciting times.
Stephen E Arnold, October 16, 2012
Operational Efficiencies Improve with Solutions that Deliver Information
October 16, 2012
IBM branched into cloud computing with PureFlex and applications with PureApplications, so seeing them move toward data analytics is not surprising. The TechCrunch article “Meet PureData, IBM’s New Big Box For Big Data,” discusses the latest edition to IBM’s Pure series.
Apparently big players like IBM and Oracle have decided to sell their big box systems and replace the old servers that their customers utilize for legacy software:
They call these boxes converged systems. They essentially are new age mainframes with state-of-the art compute, storage, and networking all in one system. The PureData System is designed to manage petabytes 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 combination of IBM’s three Pure strategy will create an all in one solution, but they are stepping into the game a little late. Developers like PolySpot have been providing an all-in-one solution for almost a decade offering a platform that delivers information. Their unique infrastructure component can be used to sort, store and develop innovative and cost-effective applications, while providing users with quick, access to the relevant data necessary to increase operational efficiency and ROI.
Jennifer Shockley, October 16, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
IntelTrax Top Stories: October 5 to October 11
October 15, 2012
This week’s top stories from the IntelTrax advanced intelligence blog focused on the impact of big data analytics solutions on a multitude of different industries.
According to “New Pike Research Report Analyzes Smart Grid Analytics” there will be a spike in smart grid data analytics spending that is forecasted to reach more than $34 billion. The bulk of this spending, which will occur worldwide, will be in the Asian Pacific.
When describing the report, the article states:
“This Pike Research report analyzes the global market opportunity for smart grid data analytics across four key solution segments: meter analytics, grid analytics, asset analytics, and renewables integration for business intelligence, operations, and customer management. The report provides a comprehensive assessment of the demand drivers, business models, policy factors, and technology issues associated with the rapidly-developing market for smart grid data analytics. Key industry players are profiled in depth and worldwide revenue and capacity forecasts, segmented by application and region, extend through 2020.”
“Expert Suggests You Ask Your Analytics Vendor the Tough Questions” explains the importance of advocating for yourself and your business by asking the hard questions when choosing between a myriad of solutions that solve the same or similar data management problems.
The article states:
“SAP customers looking at the possibility of deploying text analytics software within their operations should be diligent about asking vendors lots of questions, according to one expert.
Giving vendors the third degree is especially important when shopping for text analytics technology because there is a wide range of offerings on the market at various levels of maturity, said Hanns Koehler-Kruener, a research director with Stamford, Conn.-based IT research firm Gartner Inc.
Additionally, text analytics technology is still emerging into the mainstream and therefore terminology and performance expectations will vary from vendor to vendor. As a result, the only real way to find out if a particular text analytics product meets specific needs is through questioning and trial and error, the analyst said.”
While most companies see big data as a huge benefit when channeled appropriately, consumers may see it as a threat to their privacy. “The Threat of Big Data” explains how big data can be misused.
The article states:
“What those breadcrumbs tell is the story of your life. It tells what you’ve chosen to do. That’s very different than what you put on Facebook. What you put on Facebook is what you would like to tell people, edited according to the standards of the day. Who you actually are is determined by where you spend time, and which things you buy. Big data is increasingly about real behavior, and by analyzing this sort of data, scientists can tell an enormous amount about you. They can tell whether you are the sort of person who will pay back loans. They can tell you if you’re likely to get diabetes.”
Whether you are looking to utilize big data for good or evil, there are companies out there that are willing to help your company harness data. Digital Reasoning uses automated understanding to take the pressure off employees and gain valuable insights from big data.
Jasmine Ashton, October 15, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Digimind Provides Insights Regarding Customer Experience
October 11, 2012
Digimind, a competitive intelligence software provider, has a lot to offer in the field of information management and analysis. This is why when we stumbled upon this, “Q&A With Yann Guilain, Customer Care Director At Digimind” we thought it could be useful to our readers looking for some best practices in customer experience.
Despite having to juggle a variety of different elements and challenges in order to keep customers happy, Guilian’s ten years of experience in the field have provided him with some best practices concerning how to make a project successful.
Guilian states:
“I have so much to say on this point! If I could only keep one single point, I’d have to say that the most important is “hunt down added value”. What I mean by this is that you have to focus a maximum of effort into deliverables, CI watches, subjects, analysis that will bring added value to key decision makers. Everything about the way we organise a CI project, all our efforts can then be focused on this objective, once it has been well-identified. At the end of the day, there’s only one question that counts: “What’s it for?”
Digimind has built its reputation by instilling trust in its customers. By investing in predictive analytics tools and other search solutions, businesses can gain valuable insights from their data and better serve the needs of their clients.
Jasmine Ashton, October 11, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
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