Posts Tagged ‘Machine Learning’

Oxdata’s CEO on the Intersection of Big Data and Machine Learning

oxdataJosiah Motley recently wrote, “Big data is big money, and a relative new-comer to the game is trying to make a big impact. 0xdata (pronounced hexadata), started by SriSatish Ambati, is that new-comer. Their current flagship product, simply titled H20, is an open source platform used to crunch huge amounts of data to more accurately display analytic results. It is able to compute these large data sets by combining machine learning with advanced mathematical algorithms. H20 allows for customers to their entire data sets, instead of sample sets which are traditionally used for such processes. We recently had a chance to talk with SriSatish Ammbati, CEO and co-founder of 0xdata to help shed more light on their product.” Read more

Microsoft’s Azure Machine Learning Hopes to Give Watson a Run for Its Money

azure-machine-learningJeffrey Schwartz of Redmond Magazine recently wrote, “Nearly a year after launching its Hadoop-based Azure HDInsight cloud analytics service, Microsoft believes it’s a better and broader solution for real-time analytics and predictive analysis than IBM’s widely touted Watson. Big Blue this year has begun commercializing its Watson technology, made famous in 2011 when it came out of the research labs to appear and win on the television game show Jeopardy. Both companies had a large presence at this year’s Strata + Hadoop World Conference in New York, attended by 5,000 Big Data geeks. At the Microsoft booth, Eron Kelly, general manager for SQL Server product marketing, highlighted some key improvements to Microsoft’s overall Big Data portfolio since last year’s release of Azure HDInsight including SQL Server 2014 with support for in-memory processing, PowerBI and the launch in June of Azure Machine Learning.” Read more

Data Innovation, Driven By Semantic Models, Machine Learning And More

VRThe Ventana Research summit took place this week, and semantic and related technologies had a place at the table.

Among the keynoters discussing the topic of Inspiring Business Technology Innovation to Change Business and IT Forever, for example, was Nedshad Bardoliwalla, co-founder and vp of products at data prep vendor Paxata. He discussed the need to rethink how to innovate with data, as that will “drive the biggest increases in value for your organization for the foreseeable future.”

As part of that, he explained that in a world where everything physical on the planet will have a digital representation, businesses should pay attention to factors including the “massive and interesting algorithms around recognition systems, around deep learning, around semantic models that let us understand images and text in ways we never could….Take advantage of those if you are to innovate and bring capabilities to market that change way people think of data.”

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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.

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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

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