Posts Tagged ‘Intel’

Big Data Challenges In Banking And Securities

Photo courtesy: Johan Hansson, https://www.flickr.com/photos/plastanka/

Photo courtesy: Johan Hansson, https://www.flickr.com/photos/plastanka/

A new report from the Securities Technology Analysis Center (STAC), Big Data Cases in Banking and Securities, looks to understand big data challenges specific to banking by studying 16 projects at 10 of the top global investment and retail banks.

According to the report, about half the cases involved e petabyte or more or data. That includes both natural language text and highly structured formats that themselves presented a great deal of variety (such as different departments using the same field for a different purpose or for the same purpose but using a different vocabulary) and therefore a challenge for integration in some cases. The analytic complexity of the workloads studied, the Intel-sponsored report notes, covered everything from basic transformations at the low end to machine learning at the high-end.

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Intel Buys Intelligent Dialog Firm Indisys

David Meyer of GigaOM reports, “Intel has bought a Spanish ‘intelligent dialog’ firm called Indisys, in what appears to be the chipmaker’s latest foray into artificial intelligence and next-generation interface systems. The Spanish website Hemerotek said the deal was at a valuation of $30-35 million. Seville-based Indisys has a variety of products ranging from e-learning to semantic search, though its core product is virtual assistant software that is used by customers such as the retailer El Corte Inglés. The virtual assistant can virtually assist people over the phone or in a slightly creepy avatar format for websites. Intel had previously invested €3.2 million ($4.24 million) in Indisys in November 2012.” Read more

New On The Speech Recognition Scene: Droids With NLP Processors And More

There are new Motorola Droid devices in town: The three Verizon Android 4.2 smartphones unveiled at a press event yesterday include the Motorola Droid Mini, Ultra and Maxx. The line includes what the company touts as the longest-lasting 4G LTE smartphone in the Maxx, with the vendor claiming 48 hours on a single charge, and what it says is the thinnest 4G LTE smartphone around in the Ultra. The smartphones reportedly all come with a unique Kevlar fiber 3D unibody design and a few months’ free Google Music All Access subscription, too. But what will catch the eyes of readers of this blog is the proprietary Motorola X8 Mobile Computing System that’s behind the sleek-looking handsets.

In addition to the graphics and application processor cores found within the eight-core System are two new low-power cores, one to power contextual computing and one aimed at natural language processing. Read more

Drive, She Said: AI’s Car Trip

The Intel International Science and Engineering Fair has a winner: Ionut Budisteanu of Romania received the Gordon E. Moore Award. He gets to take home the $75,000 prize package as the first-place champ for creating a model of a low-cost, self-driving car that uses artificial intelligence.

Ionut used a low-res 3-D radar and mounted webcameras for an autonomously controlled car that uses AI to detect traffic lanes and curbs, along with the real-time position of the car. The cost? Just $4,000, according to Intel’s announcement of the winners. That’s tens of thousands of dollars less than Google, which reportedly relies on costly high-res 3-D radar, and luxury car companies can do it for.

But that’s not the only AI-related development in the vehicles space in recent days.

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Showing at The International American Toy Fair: Tangible, Touchable Semantic Technology

The coolest thing at the 109th International American Toy Fair in New York City this week might have been the Lazer Tag Blaster or the World of Warcraft version of Monopoly. Or, for semantic tech aficionados, it would have been Uma’s semantic Skin multitouch display installation. Even the Power Rangers were getting into it (see photo).

Here is the marriage of semantic technology with interactive signage and multi-touch displays, RFID technology, Intel’s Audience Impression Metrics suite, and social media integration. It is, as Christian Doegl, founder and CEO of uma, an example “where semantics gets tangible.”  And touchable by everyone.

For the Toy Fair, Uma got access to the exhibitor database, itself complete with structured metadata such as company name, location on the floor, and Twitter handle. “From this we can build up a semantic database connecting all different databases to the system,” says Doegl.

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Who Attended SemTech 2009? A Partial List of Attending Organizations

The 2009 Semantic Technology Conference (SemTech) took place June 14-18, 2009 in San Jose, California. SemTech is produced by Semantic Universe and brings together the entire marketplace of semantic technology vendors, developers, researchers, start-ups, investors and customers. Here is a small sample of the hundreds of companies who signed up to attend:

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Panel: Venture Capital Outlook – SemTech 2009 Video

MODERATOR:
Steve Bastasini, Cerebra

PANELISTS:
Eghosa Omoigui, Intel Capital
Peter Rip, Crosslink Capital
Michael S. Dunn, Hearst Interactive Media
Shawn Carolan, Menlo Ventures

After a period of caution about the viability of semantic technologies, investors seem more willing to fund semantic start-ups right now. And even with the economy in distress, semantics is managing to create excitement amongst the VCs. Semantic search has been hot for a couple of years – the possibility of finding the next Google being just too enticing – but the focus seems now to be shifting to enterprise and consumer apps where as Jim Hendler famously said "a little semantics goes a long way." Money is going into enterprise software, such as business intelligence tools, and innovative consumer apps based around social networks, smarter information filtering and productivity enhancement.

So what do the VCs want to see in the business plans for semantic start-ups now? Are there still plenty of good opportunities out there for entrepreneurs or have the best ideas already claimed their share of available capital?

Panel: Venture Capital Outlook from Semantic Universe on Vimeo.

Automatically Structuring Unstructured Corporate Websites for Producing a Company Search Engine


Executive Summary

We have used a sophisticated array of AI/Machine Learning systems in combination with statistical methods, background knowledge and expert defined rules engines, to create, entirely automatically, a structured database with high quality information. The example we have produced contains structured company records and fields for over 2 million IT and telecoms companies using data taken from their websites.

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