According to a recent Smart Building report from Aberdeen Group, modern Integrated Workplace Management Systems (IWMS) – driven by IoT, analytics, and cognitive computing – are central to the rise of the smart building. Buildings and workplaces are massive generators (and consumers) of data. The capture and analysis of data enable organizations to gain deeper insights into operational effectiveness, accelerate their ability to react to change, and increase returns from real estate-related decisions. As cognitive computing services continue to gain momentum, many organizations are starting to explore different ways artificial intelligence can help to optimize occupancy experiences. Data captured by buildings can be augmented by cognitive capabilities for use in IWMS such as IBM TRIRIGA – to help make decisions, alert management on issues, in addition to providing buildings with virtual concierge services.
Do you ever wonder what cities will be like in the next few decades? With over two thirds of our population living in urban areas by 2050 the demands on cities' services will increase significantly. Technological improvements to our infrastructure will change the way citizens interact; artificial intelligence and the Internet of Things will allow the city to become smart; perhaps even allowing cities to think like a human brain. What changes can we expect? Buildings will also gather their energy source themselves through developments like solar windows; and surplus energy traded between nearby buildings and vehicles so that those in need never run dry.
Silicon Valley tech giants and startups alike have for years been trying to drum up excitement around Internet-connected home appliances. But despite the push from companies like Samsung, Google and Apple, consumer adoption has been slow. Only 7% of households in the Americas were estimated to have connected home tech by the end of 2017, according to research from IHS Markit. Shoppers have had good reasons to avoid smart home gadgets. They're usually more expensive than their "dumb" counterparts, they can be complicated to set up and use, and the true utility they offer can be unclear.
Qualcomm is about to go in big with the burgeoning smart home scene. As well as its'Smart Audio Platform' CES announcement, which will help to push smart voice assistant technology into an even wider array of speakers, it's also looking to become a smart home hub gatekeeper in its own right. The Home Hub platform from Qualcomm will allow manufacturers to easily integrate the Google Assistant inside any smart device of their choosing. While one new Qualcomm system-on-a-chip focusses on appliances such as ovens and fridges, the second chipset is centered around the new wave of Google Assistant-powered devices that also feature a screen. As well as speakers like the Lenovo Smart Display pictured above, these will also include anything with a display, from thermostats to security systems.
Artificial Intelligence is a broad concept. Self-driven cars, smart homes are some examples of Artificial Intelligence. Some countries have intelligent robots in fields such as medicine, manufacturing, military, agriculture, and household. Machine Learning is a type of Artificial Intelligence. The key difference between Machine Learning and Artificial Intelligence is that Machine Learning is a type of Artificial Intelligence that gives the ability for a computer to learn without being explicitly programmed and Artificial Intelligence is the theory and development of computer systems able to perform tasks intelligently similar to a human.
Four ways to explore the use of voice technology for your business. Apple's HomePod smart speaker could be on sale in the next few weeks, with reports that the first shipments have finally left the factories. HomePod was supposed to be on sale in December for that all-important holiday shopping season, but Apple delayed it at the last minute saying it needed " a little more time before it's ready". But it's likely to arrive soon -- in the US, UK, and Australia, at least. That means the HomePod will finally go on sale more than three years after Amazon launched the Echo smart speaker, which kickstarted the market and still dominates it, and more than a year behind Google Home.
AI is seeping into different industries, slowly remolding the global competitive landscape. However, most business leaders still don't know how machine intelligence will impact their businesses. EY recently published a brief, which focuses the current state of AI. We interviewed Nigel Duffy, EY Global Innovation AI leader who co-authored the document with Chris Mazzei, EY Global Innovation Technologies Leader and Global Chief Analytics Officer. The brief frames the current state of AI well: "Most organizations aren't exploiting the potential of AI; they are just at the beginnings of their AI journeys.
We recently started open beta for Labelbox. You can simply connect your data, choose or customize an open source labeling interface, invite team members and start labeling. Our labeling interfaces are open source, meaning, that you can customize it to work with any kind of data such as images, videos, point clouds, medical DICOM and many more (as long as your data can be loaded in the browser). We'd love to hear your feedback and ideas to improve this further.