Posts Tagged ‘LinkedIn’
Startup Elementum wants to take supply chains into the 21st century. Incubated at Flextronics, the second largest contract manufacturer in the world, and launching today with $44 million in Series B funding from that company and Lightspeed Ventures, its approach is to get supply chain participants – the OEMs that generate product ideas and designs, the contract manufacturers who build to those specs, the component makers who supply the ingredients to make the product, the various logistics hubs to move finished product to market, and the retail customer – to drop the one-off relational database integrations and instead see the supply chain fundamentally as a complex graph or web of connections.
“It’s no different thematically from how Facebook thinks of its social network or how LinkedIn thinks of what it calls the economic graph,” says Tyler Ziemann, head of growth at Elementum. Built on Amazon Web Services, Elementum’s “mobile-first” apps for real-time visibility, shipment tracking and carrier management, risk monitoring and mitigation, and order collaboration have a back-end built to consume and make sense of both structured and unstructured data on-the-fly, based on a real-time Java, MongoDB NoSQL document database to scale in a simple and less expensive way across a global supply chain that fundamentally involves many trillions of records, and flexible schema graph database to store and map the nodes and edges of the supply chain graph.
“Relational database systems can’t scale to support the types of data volumes we need and the flexibility that is required for modeling the supply chain as a graph,” Ziemann says.
The new and long-awaited Blackberry 10 line from Research In Motion (RIM) makes its debut today. The company that once defined the smart phone market has a lot riding on it, and it remains to be seen if the new models debuting today will revive its fortunes. It’s already revived its name: Thorsten Heins, President and CEO, revealed at the launch today that “from this day forward, RIM becomes Blackberry.”
The two models that kick off its re-engineered approach to mobile computing are the Blackberry Q10 with a hybrid touch-screen/keyboard and the Z10 with a full touch-screen and onscreen keyboard, powered by the Blackberry 10 platform. Of the Q10, Heins said, “We built this for all those people who told us, ‘we just have to have a physical keyboard typing experience’.” Given Blackberry users’ well-known attachment to traditional keyboards, getting the onscreen keyboard right is going to be a big concern for tried-and-true Blackberry users.
As on the Blackberry Playbook before it, SwiftKey – the best-selling Android app of 2012— is reportedly behind the virtual keyboard technology on the new models. Though that vendor wasn’t named in the launch presentation during the demo of the touch-screen keyboard capabilities, the features Blackberry demonstrated pointed to the company’s leveraging the cross-platform SwiftKey software development kit for at least some of the new devices’ capabilities.
And what’s behind SwiftKey is natural language processing (NLP) and machine learning technology to speed up touch-screen typing.
Singly “App Fabric” Platform Helps Developers Deeply Connect To Other Apps So Users Can Connect With All Their Data
Singly, which has as its mission connecting people more closely with their data everywhere it lives, now is opening up the beta of its development platform to help developers create the apps that can make that happen.
As co-founder and CEO Jason Cavnar describes Singly’s work, “it is an app fabric product” that gives developers a way to build applications without having to worry about making all the different connection points into the other applications they want their products to talk to. “That’s handled as a service for them. Like Amazon Web Services is for the infrastructure layer, we would like to be a trusted partner in the data layer,” he says.
“It’s really about a person’s life and experiences – sharing that wherever it is in other applications into a new one and that new one generating things to share back out,” says fellow co-founder and CTO Jeremie Miller, who invented Jabber/XMPP technologies and was the primary developer of jabberd 1.0, the first XMPP server. APIs are prominent in Singly’s approach to unlocking that data, but Miller sees some parallels between its own mission and that of the semantic web – a concept whose potential he’s always been excited about, he says, but which he doesn’t think has caught on as he’d hoped.
Heading into the Labor Day weekend, Wolfram|Alpha released a new feature that lets users perform personal analytics with Facebook data, for free. Users can head here and type in “Facebook Report” for an analysis of their Facebook data.
Stephen Wolfram, the creator of the computational knowledge engine, alerted the world to the news in this blog post. “When you type “facebook report,” Wolfram|Alpha generates a pretty seriously long report—almost a small book about you, with more than a dozen major chapters, broken into more than 60 sections, with all sorts of drill-downs, alternate views, etc.,” he writes.
Daniel Tunkelang, principal data scientist at LinkedIn has shared the slides from his SemTechBiz SF presentation: Scale, Structure, and Semantics. He prefaces the presentation, “[Friday] morning I had the pleasure to present a keynote address at the Semantic Technology & Business Conference (SemTechBiz). I’ve had a long and warm relationship with the semantic technology community — especially with Marco Neumann and the New York Semantic Web Meetup. But I’m not exactly a fanboy of the semantic web, and I wasn’t sure how the audience would respond to some of my more provocative assertions. Fortunately the reception was very positive. Several people approached me afterwards to thank me for presenting a balanced argument for combining big data with structured representations and for raising HCIR issues.” Read more
In a recent interview Daniel Tunkelang, the principal data scientist at LinkedIn shared his thoughts on what a data scientist is. Tunkelang said, “I’m a big fan of Hilary Mason, chief scientist at bit.ly, so I’ll cite her definition: a data scientist is someone who can obtain, scrub, explore, model and interpret data, blending hacking, statistics and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product. At LinkedIn, products pioneered by data scientists, such as People You May Know, harness the power of data to create value for users.” Read more
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