Kevin Fitchard of Gigaom recently posted that, “Thanks to the popularity of its FireChat hyperlocal messaging app, Open Garden’s networking software has been downloaded into more than 5 million mobile devices around the world. Open Garden believes it now has enough users out there to execute the next the stage of its plan: it wants to use all of these smartphone nodes to create a new network for the internet of things. This concept probably requires some explaining as it doesn’t fit into any of the other IoT networking schemes we’ve written about in the past. Unlike say your smart home, which uses a hub to aggregate a bunch of Zigbee or Wi-Fi connections, or a connected vehicle fleet, which taps into the cellular network, Open Garden’s IoT network would be created through millions of shared connections owned by you, me or anyone else with one of its apps on their smartphones, tablets or PCs.”
Posts Tagged ‘social networking’
Every picture tells a story, don’t it? Well, turns out that’s true in the enterprise as much as on our Facebook pages. In this case, the picture is the enterprise graph of the workforce – who interacts with whom, when, in what context. And the story is what the patterns of interactions revealed by the graph may say about employee engagement, influence, and how to better leverage all that to the business’ – and the employees’ — benefit.
When Marie Wallace, IBM analytics strategist, looks at social and collaborative networks and other sources of enterprise communications and channels for business processes, such as CRM systems, “I am interested in the narrative,” she told an audience at the Sentiment Analytics Symposium earlier this month. “There is a lot of information in CRM systems – who met with whom, what industry the client is in, what products were presented. All this is valuable and contributes to the enterprise graph.”
What’s on the menu for semantic technology this week? Two vendors in the foodie field are offering up some new treats.
From Nara, whose neural networking technology is behind a service to help users better personalize and curate their restaurant dining experiences (see how in our story here), comes a new feature that should make picking a restaurant for a group dinner an easier affair. It combines users’ “digital DNA” – the sum of what it learns of what each one likes and doesn’t like regarding dining venues – to serve up restaurant choices that should appeal to the entire group across its range of preferences.
“It’s a really fun way to start getting [the service] into social,” says Nara founder and CEO Tom Copeman.
IT Web recently reported, “Nokusa EI has established a partnership with Firestring – one of the most significant new information management tools to arrive in the enterprise space. ‘The system has huge potential in using the principals of social media for business,’ says Kotze. ‘What we do as humans is collaborate. While an organisation may exist in the sense of bricks and mortar, it’s the interaction of people that actually constitutes the work of the company. Firestring allows people in large organisations to interact instinctively and organically, and in addition, it brings information and people together through its semantic engine. The engine, Serendipity, automatically tags information on behalf of users, which means manual indexing to bring structure to information is no longer necessary’.” Read more
Late last week Bloomberg Businessweek reported that Facebook is working on an improved search engine with 20 developers under the direction of former Google engineer Lars Rasmussen, who joined the social network giant in 2010. According to the article’s unnamed sources, the goal “is to help users better sift through the volume of content that members create on the site, such as status updates, and the articles, videos, and other information across the Web that people ‘like’ using Facebook’s omnipresent thumbs-up button.”
As the news starts to make its way around the Web, the focus is on how this can intensify the competition between Facebook and Google, even if Facebook doesn’t directly go after the big web search enchilada. (Most seem to agree that it isn’t, at least not yet.) Better searching inside its own four walls, with its ability to use its host of knowledge about friends’ social graph data – their Likes and more – to more accurately personalize results, might encourage users to stay where they are rather than head out to search engine land, at least for some things. And at the same time let Facebook hone its advertising to profit from improved search results, too.
It would be an interesting turn of events, to have the leading search engine face the dilemma that online publishers long have been trying to deal with – keeping visitors engaged and exploring on their own sites rather than departing for Google in search of related information. As The Semantic Web Blog reported this week in a story about premium publishers deploying more semantic technology to try to solve that issue, most premium publishers lose 30 to 50 percent of their traffic to search engines.
The Open Graph protocol continues to progress: Earlier this week Facebook’s Director of Developer Relations Douglas Purdy talked about its intersection with the mobile web.
According to Purdy, more people are accessing Facebook on the mobile web than from its top native apps combined, and the game is on to help developers conquer the challenges of building for that community. One of those challenges is app discovery. At the Mobile World Congress on Monday, the company announced that it’s continuing to address the first issue with plans to extend to native Android apps the ability for Facebook’s 425 million mobile app users to discover them through Open Graph connections.
China-based semantic startup Huohua “is trying to solve a problem of ‘where and with whom to have fun’ by introducing a smart feature dubbed Instant Circle. Basically, it works like this: open the app to tap a keyword like ‘basketball’, ‘hot pot’ or ‘mountain climbing’ to locate people with the same interests around you, then live chat with them.” The company’s name translates to “spark.”
The article continues, “Thanks to the semantic search, the updates published on Huohua such as ‘get something to drink’ and ‘drink beer’ can be considered as the same interest and users can be thus connected. So based on where you are and what are you interested in, Huohua will be generating a location-and-interests-based instant circles just for you.” Read more
Digimind has released Digimind 9, “the new updated Digimind software release designed to accompany forward-thinking organizations throughout their intelligence workflows. Digimind 9 comes in response to a growing demand from companies willing to complement their CI apparatus with such features included as advanced semantic analysis, social media monitoring, and intelligence profile management. Indeed, beyond the conventional intelligence workflows, more intelligence requirements surface nowadays to leverage on social networks, unstructured data, and related analysis.” Read more
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