Posts Tagged ‘Machine Learning’

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

Google’s Machine Learning Can Fill in Your Spreadsheet For You

googleJordan Novet of Venture Beat reports, “Many people know Google first and foremost as a search engine company. But really it’s a machine-learning company, using data to make predictions that get incorporated into applications like search and advertising without people even realizing it. Today Google is announcing in a blog post that people can now choose to apply its machine-learning savvy to Google Sheets, the company’s spreadsheet app, to make educated guesses and fill in blank cells. This applied use of machine learning follows Microsoft’s recent announcement of a cloud-based service for that purpose, Azure Machine Learning.” Read more

Saffron 10 Cognitive Computing Platform Delivers Anticipatory Thinking

gayleSaffron 10, a major upgrade to Saffron Technology’s cognitive computing platform, debuts today, with new machine learning algorithms that support anticipating outcomes based on patterns found in large amounts of data. (You can read more about the platform and Saffron’s Associative MemoryBase here as well as in this article at our Dataversity sister site.)

One of the new machine learning algorithms is Saffron Universal Cognitive Distance, which the company says is the first non-linear, non-parametric similarity computation for making sense of massive amounts of data without requiring businesses to pre-model the data. The other is Saffron Mutual Information, which the vendor says addresses “sparse data” challenges by making it possible to perform classification with high accuracy on high-dimensional data (with tens of thousands of features).

CEO Gayle Sheppard explains that the focus is on looking for the signals that really matter from the noise of Big Data, as companies “merge outside-in intelligence with inside-out intelligence, increasing the amount of data now available for decision making.” With the new algorithms, the associations the Saffron platform makes among people, places and things data — counting an entity’s frequency and the contexts in which one thing is associated with something else — extends to discovering patterns to anticipate what happens next.

Read more

IBM Unveils First Watson Machine-Learning APIs

WatsonSerdar Yegulalp of InfoWorld reports, “Those who have been chomping at the bit to use IBM’s Watson machine-intelligence service with their apps need gnaw no longer. Watson APIs are now available for public use, albeit only through IBM’s Bluemix cloud services platform. IBM’s Watson Developer Cloud now offers eight services for building what IBM describes as cognitive apps, with more services promised later on.” Read more

Red Lamba’s AI-Enabled Security Solution Stands Up To Operational Data Volume And Velocity Challenge

RLRed Lambda, a company spun out of the University of Florida, late last month was recognized by The Software & Information Industry Association (SIIA)’s NextGen program for providing the most innovative security solution. SIIA cited its advances in supercomputing, relational stream processing and artificial intelligence as part of its integrated MetaGrid platform and analytics capabilities as highlights for protecting enterprise data.

The rules approach taken by many antivirus and security information management solutions to root out threats based on what was learned in past breaches has its place. But “Red Lambda wants to identify activity and patterns of activity that can be seen as a breach or potential breach,” says company CTO Dan Nieten.

“One of the things neural networking is very useful for is for deep learning and also dealing with unknowns, and cyber-security world is a world where you have to deal with a lot of unknowns.” To battle threats that get past the first lines of defense, more attention is starting to be paid “to use AI, to apply statistical and machine learning methods in the area of security, to identify breaches,” says Nieten, whose own background is in NLP and machine learning. Read more

Jeff Hawkins on the Future of Artificial Intelligence

3214197147_a36c631f71Derrick Harris of GigaOM recently wrote, “Jeff Hawkins is best known for bringing us the Palm Pilot, but he’s working on something that could be much, much bigger. For the past several years, Hawkins has been studying how the human brain functions with the hope of replicating it in software. In 2004, he published a book about his findings. In 2012, Numenta, the company he founded to commercialize his work, finally showed itself to the world after roughly seven years operating in stealth mode. I recently spoke with Hawkins to get his take on why his approach to artificial intelligence will ultimately overtake other approaches, including the white-hot field of deep learning. We also discussed how Numenta has survived some early business hiccups and how he plans to keep the lights on and the money flowing in.” 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

Paxata Wins Ventana Research 2014 Technology Innovation Award for Information Optimization

paxataREDWOOD CITY, Calif.–(BUSINESS WIRE)–Paxata, the first unified Adaptive Data Preparation platform built from the ground-up to address the next generation of data integration, quality, enrichment, collaboration and governance needs for business analytics, was recognized by Ventana Research as the winner of the 2014 Technology Innovation Award for Information Optimization. Read more

Unearthing Data on Non-Public Companies with Artificial Intelligence

datafoxGreg MacSweeney of Wall Street and Tech recently wrote, “It’s relatively easy to find information on public companies. Bloomberg, Thomson Reuters, and Dun & Bradstreet, for example, all have in-depth information that is accessible to anyone with a subscription. But where do investment bankers, venture capitalists, and other investors find reliable information about private companies? If you talk to investment bankers, or other investors who are looking for information on non-public companies, it quickly becomes apparent there is no easy answer. Investment bankers rely mostly on Google searches and a combination of information gathered from Hoovers, S&P Capital IQ, Dun & Bradstreet, and others. But it is a laborious manual process to do due diligence on private companies.” 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.

Read more

NEXT PAGE >>