Paul Sparrow of AJR.org recently wrote, “In his book ‘Weaving the Web,’ Tim Berners-Lee described the semantic web. ‘I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web — the content, links, and transactions between people and computers. A ‘Semantic Web,’ which makes this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.’ The question is, will the provider of that customized information be a media company or a technology company? A new wave of change is sweeping the media landscape, and news organizations will need to make radical changes if they want to survive this tsunami of media transformation.” Read more
Posts Tagged ‘internet of things’
What could be scarier than a haunted house on Halloween, packed with ghouls, axe murderers and the standard array of blood and guts?
Well, maybe the real fright night lies with technology. Consider the following scares that might just send Michael Myers himself into a terror tizzy:
- Artificial intelligence. Tesla, Paypal and SpaceX founder Elon Musk, as reported in this article in Mashable, recently told an audience at MIT’s Centennial Symposium that, “With artificial intelligence, we are summoning the demon.” Musk said to attendees that he probably ranks AI as our biggest existential threat, commenting that, “In all those stories where there’s the guy with the pentagram and the holy water, it’s like, ‘Yeah, he’s sure he can control the demon.’ Doesn’t work out.”
Dr. Mahesh Saptharishi of Forbes recently wrote, “Communication, in its many forms, has tremendous power… When you combine language with the Internet, you see how our lives have changed; we are freed from past limitations of distance, time and memory. Sensors give us an even greater opportunity to experience our world. The Internet-of-Things (IoT), as these connected sensors are collectively called, has enabled the digitization of language communicated by the physical world. Sensors allow the Internet to instantly extend the reach of our sight and sound. The data from sensors allow us to not only interactively, but also observationally communicate language.” Read more
Saffron 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.
A recent press release states, “Transforming our cities into the Smart Cities of the future will encompass incorporating technologies and key digital developments all linked by machine-to-machine (M2M) solutions and real-time data analytics which sit under the umbrella term of the Internet of Things. Smart cities however must be underpinned by the appropriate ICT infrastructure based on fibre optic and high-speed wireless technologies, which is well underway in many developed cities around the world. This infrastructure allows for the development of smart communities; supporting connected homes; intelligent transport systems; e-health; e-government and e-education; smart grids and smart energy solutions – just to name a few of the exciting solutions smart cities will incorporate. Many of the technological advancements emerging around the world today can, and will be, applied to smart cities. Artificial Intelligence; Electric Vehicles; Autonomous Vehicles; Mobile applications; Drones; Wearable and Smart devices and so on are just some of the key developments to watch.” Read more
Big 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.
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.”
Belkin International announced, “Belkin International, a leading Internet of Things company, and OSRAM SYLVANIA, a leading global lighting manufacturer, today announced that the two companies have entered into a strategic partnership to collaborate on residential solutions with the OSRAM LIGHTIFY™ smart connected lighting ecosystem and Belkin’s WeMo® home automation ecosystem. OSRAM SYLVANIA will first add WeMo compatibility to the SYLVANIA ULTRA iQ™ BR30 LED light bulb, followed by a broader portfolio of connective lighting products for the home shortly after the launch of OSRAM LIGHTIFY in Europe this fall.”
In a recent article, Mike Kravis explained, “In a previous post I discussed how the Internet of Things (IoT) will radically change your big data strategy. Massive amounts of data from sensors, wearable devices, and other technologies are creating new and exciting opportunities to make better business decisions in real time. However, harvesting all of this data is only half of the equation. Making the data actionable is where real value lies. Traditionally, companies have mined data to look for trends and opportunities. In the world of IoT, searching for nuggets of information in petabyte sized databases is the equivalent of trying to find a needle in a haystack. To help extract value quickly and effectively, companies are turning to machine learning technologies, like big data technologies. However, implementing machine learning successfully can be extremely time consuming and complex. This has given birth to a new breed of vendors who deliver machine learning as a service, allowing customers to quickly implement technologies to turn massive IoT databases into actionable, revenue generating gold mines.”
Kevin Fitchard recently reported that, “That unagi you scarf down at your local sushi restaurant may soon have a link to the internet of things. SK Telecom is working with eel farmers in its native South Korea to develop a system of wirelessly connected water sensors that can be monitored and managed from a smartphone. The first pilot of the IoT aquaculture management system is being tested on an eel farm in Gochang, South Korea this month. A set of sensors in dozens of 20-foot-wide eel tanks wirelessly transmit data on water temperature, pH and dissolved oxygen levels to a sensor hub (in fact, the system probably works similarly to your smart home), which in turn connects to SK Telecom’s LTE network using a machine-to-machine radio.”
NEXT PAGE >>