Redwood Center for Theoretical Neuroscience Big Data Analytics Trends: SAS CEO Jim Goodnight - Software - Business Intelligence Fresh IDC figures show that the analytics market is booming, but what's behind the demand and how does it relate to big data? SAS co-founder Goodnight offers his take in this video interview. Global business analytics software market grew 14.1% in 2011, and it's expected to keep growing nearly 10% per year through 2016. The figures, released Wednesday by International Data Corp. (IDC), are at odds with research that shows that overall IT spending is up just 3% over the last year. Why are companies spending more on analytics despite cutbacks elsewhere? Analyst Dan Vesset, author of IDC's "Worldwide Business Analytics Software" report, credits "attention-grabbing headlines" about big data, rather than the data stockpiles themselves, with helping to put business analytics on the agenda of senior executives. That's vintage Goodnight plainspoken skepticism, which he shared in spades in this in-depth interview published earlier this year. [ Want more plain talk about analytics? More Insights
Hierarchical temporal memory Hierarchical temporal memory (HTM) is an online machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world. Jeff Hawkins states that HTM does not present any new idea or theory, but combines existing ideas to mimic the neocortex with a simple design that provides a large range of capabilities. HTM structure and algorithms[edit] An example of HTM hierarchy used for image recognition Each HTM node has the same basic functionality. Each HTM region learns by identifying and memorizing spatial patterns - combinations of input bits that often occur at the same time. Bayesian networks[edit]
Tibco adds Hadoop support to Spotfire analytics tool IDG News Service - Tibco has brought its Spotfire in-memory analytics software into the burgeoning ecosystem around Hadoop, an open-source framework for processing large sets of information, the company announced Tuesday. Spotfire 4.5 will become generally available this month and features a data service connector to Hadoop, which is known for its ability to handle unstructured data such as weblogs, sensor information and text. The connector will allow users to combine and analyze information from Hadoop clusters along with structured data from business applications such as an SAP or Oracle ERP (enterprise resource planning) system. The release also features new, SQL-based integrations with Hewlett-Packard's Vertica analytic database as well as SAP's Sybase IQ database. Both of those products employ columnar storage, an architecture that provides improved performance for data warehousing and BI (business intelligence) applications. Reprinted with permission from IDG.net.
Hierarchical Temporal Memory We've completed a functional (and much better) version of our .NET-based Hierarchical Temporal Memory (HTM) engines (great job Rob). We're also still working on an HTM based robotic behavioral framework (and our 1st quarter goal -- yikes - we're late). Also, we are NOT using Numenta's recently released run-time and/or code... since we're professional .NET consultants/developers, we decided to author our own implementation from initial prototypes authored over the summer of 2006 during an infamous sabbatical -- please don't ask about the "Hammer" stories. I've been feeling that the team has not been in synch in terms of HTM concepts, theory and implementation. We decided to spend the last couple of meetings purely focused on discussions concerning HTMs. We have divided our HTM node implementation into 2 high level types. 1) Sensor Node and 2) Cortical Node. An HTM sensor node provides a mechanism to memorize sensor inputs and sequences of those inputs.
Google Now Offers a Monthly Account Activity Report Google just launched a new opt-in feature called Account Activity, which sends users a detailed monthly report full of analytics about their signed-in use of Google. The user receives a Web link to a password-protected report. The report displays data like sign-in locations, browsers, platforms, changes to sign-in credentials, connected sites and apps. It also provides some personal analytics, on places one has been (for Google Latitude users), number of emails sent and received, and the volume of searches. The Account Activity report can provide information as simple as, "I sent 5% more email this month than last month and received 8% more." Google's business is built on collecting data about its users, and most of its recent headlines about the practice have been unfavorable. It can also help users in more holistic ways. To turn on your Account Activity report, go to google.com/settings/activity.
Can a New Theory of the Neocortex Lead to Truly Intelligent Mach Companies get SaaS-y with business intelligence — Cloud Computing News Jeff Hawkins Hawkins also serves on the Advisory Board of the Secular Coalition for America and offers advice to the coalition on the acceptance and inclusion of nontheism in American life.[3] Early life and career[edit] Hawkins grew up with an inventive family on the north shore of Long Island. Grok[edit] They have been using biological information about the structure of the neocortex to guide the development of their theory on how the brain works. Numenta, Inc., was founded in 2005 to be a catalyst in the emerging field of machine intelligence. Neuroscience[edit] After graduating from Cornell in June 1979, he read a special issue of Scientific American on the brain in which Francis Crick lamented the lack of a grand theory explaining how the brain functions.[6] Initially, Hawkins attempted to start a new department on the subject at his employer Intel, but was refused. References[edit] Books[edit]
Data doesn’t speak, it responds | Aryng Data doesn’t speak, it responds. A journey of 1000 miles starts with a single step. The journey from data to decisions is sometimes a long one, funny thing is, it does not start from data… it starts way before, it starts from understanding what you may want from the data; what it is that you want to drive from the data. Often people think data speaks, it may, more often than not, it doesn’t. What are the attributes of the real business question? Is the answer to the question, actionable? So before you start torturing the data to speak, identify the real “Business Question” to ask the data. Getting Started with Workforce Analytics Posted February 17, 2012 By Ann AllFeedback Carl C. Hoffmann, one of three authors of “Calculating Success: How the New Workplace Analytics Will Revitalize Your Organization,” discusses using workforce analytics to promote knowledge sharing and also shares six key steps for introducing workforce analytics to an organization. In part one of Enterprise Apps Today’s two-part interview with Dr. Carl C. In part two, he discusses using workforce analytics to promote knowledge sharing and also share his six key steps for introducing workforce analytics to an organization. You can read an excerpt from Calculating Success on sister site IT Business Edge. EAT: Your book includes examples of how workforce analytics can be used to improve recruitment and retention but also how it can be used to boost innovation by promoting collaboration and knowledge sharing. Hoffmann: In many respects the book is all about innovation. There are four important components to capturing this innovation:
Why Analytics Is So Important Today and the Eleven Trends Impacting It Outsourcing providers have been offering their clients analytics services for at least 15 years. “But today the interest in analytics is completely unprecedented,” reports Pankaj Kulshreshtha, senior vice president, analytics and research at Genpact. Earlier, clients only considered a few specialized functions were appropriate for the ‘quants’; today it’s all functions, he notes. Why now? Have higher expectations of faster returns on investments made in the short and long termFace intense competition, shorter time-to-market and demanding customers; all drive up the cost of customer acquisition and retentionMust comply with increasingly stringent regulatory requirementsNeed to adapt to changes in the demographic mix with the emergence of the millennials as a consumer group and Web 2.0 and social media as channels “In this volatile market, enterprises demand real-time responses, not just causal analysis,” Sarma explains. However, today, “the volume of data is exploding. Analytic trends 1.