Market for Industrial Robots to Reach $80 Billion in 2022

Posted on March 4, 2016 by GilPress

[youtube https://www.youtube.com/watch?v=rVlhMGQgDkY]

A new version of Atlas, designed to operate outdoors and inside buildings. It is specialized for mobile manipulation. It is electrically powered and hydraulically actuated. It uses sensors in its body and legs to balance and LIDAR and stereo sensors in its head to avoid obstacles, assess the terrain, help with navigation and manipulate objects. This version of Atlas is about 5′ 9″ tall (about a head shorter than the DRC Atlas) and weighs 180 lbs.

MarketsandMarkets:

The use of industrial robots is expected to grow exponentially in the future as their use leads to cost reduction, improved quality, increased production, and improved workplace health and safety. The global industrial robotics market is expected to reach $79.58 billion by 2022, growing at a CAGR of 11.92% between 2016 and 2022. The main drivers for this growth are the adoption of automation to ensure quality production and meet market demand, and the growing demand from small- and medium-scale enterprises in developing countries.

 

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Global Digital Data Flows: 12% of Global Trade Digitized

Posted on February 27, 2016 by GilPress

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McKinsey Global Institute:

Digital flows—which were practically nonexistent just 15 years ago—now exert a larger impact on GDP growth than the centuries-old trade in goods, according to a new McKinsey Global Institute (MGI) report, Digital globalization: The new era of global flows. And although this shift makes it possible for companies to reach international markets with less capital-intensive business models, it poses new risks and policy challenges as well…

The amount of cross-border bandwidth that is used has grown 45 times larger since 2005. It is projected to increase by an additional nine times over the next five years as flows of information, searches, communication, video, transactions, and intracompany traffic continue to surge. In addition to transmitting valuable streams of information and ideas in their own right, data flows enable the movement of goods, services, finance, and people. Virtually every type of cross-border transaction now has a digital component…

Approximately 12 percent of the global goods trade is conducted via international e-commerce. Even the smallest enterprises can be born global: 86 percent of tech-based start-ups surveyed by MGI report some type of cross-border activity. Today, even the smallest firms can compete with the largest multinationals.

 

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32 Artificial Intelligence Startups In Healthcare

Posted on February 26, 2016 by GilPress

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CB Insights:

We identified 32 companies that are already applying machine learning techniques and predictive analytics to reduce drug discovery times, provide virtual assistance to patients, and diagnose ailments by processing medical images, among other things.

The 32 startups on the list have raised more than $530M in aggregate funding.

This year, New York-based AiCure raised $12.3M in Series A funding and National Science Foundation-grantee Cloud Pharmaceuticals raised a $350K round from undisclosed investors. London-based health services startup, Babylon Health, raised a $25M Series A round from investors including Google-owned DeepMind Technologies and Hoxton Ventures. The company will reportedly roll out a Siri-like voice recognition interface this year.

Smart money investor Khosla Ventures has backed 5 of the companies on the list: California-based Ginger.io, which focuses on patients with depression and anxiety; healthcare analytics platform Lumiata; California-based MetaMind and Israel’s Zebra Medical Vision, both of which apply AI to medical imaging; as well as drug discovery startup Atomwise.

The most well-funded startup on the list, Colorado-based health optimization platform WellTok, has collaborated with IBM’s Watson to provide personalized healthcare guidance to consumers.

Patient-monitoring startup, California-based Sense.ly, developed a virtual nursing assistant, Molly, to follow up with patients post-discharge. The company claims Molly gives clinicians “20% of their day back.” In drug discovery, startups like Atomwise, Numerate, and twoXAR are using machine learning to reduce the amount of time and capital involved in uncovering new therapies.

 

 

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Data Science Skills

Posted on February 23, 2016 by GilPress

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Source: Bob Hayes

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Mobile Futures: Every aspect of the modern economy will be challenged

Posted on February 22, 2016 by GilPress

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The Future of Mobility, Deloitte University Press:

Deloitte’s Center for the Edge argues that a new mobility ecosystem could spark a “virtual” value chain in which the ability to capture, aggregate, and analyze mobility-related data becomes a tremendous source of value. In this vision, value will accrete to those who:

  1. Provide end-to-end seamless mobility
  2. Manage the mobility network operating system
  3. Holistically create and manage the in-vehicle experience

Rewards could be great for players that are able to capture, analyze, and (securely) monetize the awareness of where people travel to, the routes they take to get there, and what they do along the way. While third parties will no doubt pay for access to this information, perhaps the greatest value will be realized by new entrants who emerge as “trusted advisers” to help all of us navigate the new ecosystem and increase our “return on mobility.” These companies may also enable the ecosystem to monetize new services and ownership models…

Every aspect of the modern economy based on the assumption of human-driven, personally owned vehicles will be challenged. Each company in this new ecosystem will have to determine where to play and how to win. As in any time of large-scale transformation, we can expect to see new players, with differentiated capabilities, emerge and change the fundamental dynamics of where and how value is created. Ultimately, the market, in its relentless quest for higher performance at lower cost, will decide who wins and who loses.

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3 AI programs to talk at TED 2020: $5 million competition announcement

Posted on February 18, 2016 by GilPress

[youtube https://www.youtube.com/watch?v=tG0K5vd4jsY?rel=0]

Apply here

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Smart Home Market $56.18 Billion by 2020

Posted on February 17, 2016 by GilPress
SmatHome

FutureForAll.org

MarketsandMarkets:

The smart home market is estimated to grow from $25.38 Billion in 2015 to $56.18 Billion by 2020, at a CAGR of 17.2% between 2015 and 2020, while the assisted living market is estimated to grow from $1.20 Billion in 2015 to $3.96 Billion by 2020. The report aims at estimating the market size and future growth potential of smart home and ambient assisted living market across different segments such as products, services, and regions. The base year considered for the study is 2014 and the market size is forecast from 2015 to 2020. Growing geriatric population and rising demands for managed healthcare are expected to play a key role in fueling the growth of the AAL market in the next five years. Increased security and safety concerns, rising demands for energy savings, and low carbon emission-oriented solutions are driving the growth of the smart home market.

The smart home and ambient assisted living market comprises players such as Honeywell International, Inc. (U.S.), Siemens AG (Germany), Schneider Electric S.E. (France), Ingersoll Rand Plc. (Ireland), Legrand SA (France), ABB Group (Switzerland), Medic4all Group (Switzerland), Tunstall Healthcare Ltd. (U.K.), Chubb Community Care (U.K.), Televic N.V. (Belgium), Telbios (Italy), Vitaphone GmbH (Germany), GETEMED AG (Germany), Koninklijke Philips N.V. (Netherlands), CareTech AB (Sweden), and Assisted Living Technologies, Inc. (U.S.)

 

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63 Fintech Startups Targeting Millennials

Posted on February 17, 2016 by GilPress

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CB Insights:

Fintech startups prominent in the millennial demographic range include “robo-advisors” offering low-cost alternatives to brokerages, to lending firms innovating in credit risk, and stock-picking and automated savings apps.

Many of the fintech startups are leveraging existing technologies already popular among young adults such as social networks and mobile messaging. Project crowdfunding sites GoFundMe and Andreessen Horowitz-backed Tilt, for example, mirror or take advantage of social networks and are largely popular among college audiences. Google Ventures and General Catalyst-backed HelloDigit transfers money directly via text message.

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Beyond Apple, Facebook, Microsoft, and Google: Intelligent Assistants Landscape

Posted on February 15, 2016 by GilPress

VB:

Ever since Apple’s Siri heralded the age of intelligent assistants (IAs) four years ago — followed by Microsoft, Google, Microsoft, and Facebook — pundits have complained that intelligent assistant technology isn’t living up to its promise…

In 2015, the IA space introduced new features, functions, and integrations at an accelerated rate. As the general public becomes more comfortable communicating with machines using their own words, demand is growing. On the supply side, technology providers benefit from “the API economy.” Well-defined interfaces and integration points make it possible for today’s IAs to add new tasks and capabilities to their repertoire quickly and efficiently. For example, Alexa, the IA for Amazon’s Echo, has moved beyond reading e-books aloud and can now order pizza and summon Uber.

Apple’s Siri, which is decidedly less open, still allows its users to make posts to Facebook, book tables at nearby restaurants, play podcasts, and make appointments for you. Google’s unnamed IA is able to provide turn-by-turn directions. Microsoft’s Cortana adds travel times for planning purposes. And now Facebook’s message-based M can recommend clothing stores and new fashions and share all this with your friends…

Here are the developments we saw in 2015:

  1. The proliferation of bots: New bots appeared almost weekly. One example is Evia, which can help individuals buy car insurance based on a picture of their license plate.
  2. Mass acceptance of natural language processing: We no longer bark commands or search terms, instead we ask questions and speak in full sentences.
  3. Migration to messaging: WhatsApp, WeChat, Facebook Messenger, and their peers are adding bots and becoming e-commerce ecosystems.
  4. Emergence of emotion detection: Companies like Emobase and Heartbeat Technologies are sorting out how to recognize and respond to our emotional “tells.”

And here’s what we’ll see in 2016:

  1. Intelligent Authentication (IAuth) promotes trust: IAuth will make it possible for an IA to have strong confidence that the person it is conversing with is who he or she claims to be. It will also help IAs maintain context and be better able to take turns in a conversation.
  2. Growth of conversational commerce: Today’s IAs customarily answer questions and then move on. Future IAs will know that, because you asked about nearby restaurants, there’s a good chance you will want to book a table. And, as long as you are going to book a table, perhaps you want share the experience with your friends and family.
  3. Empathetic IAs: Speech analytics can already detect when an individual is angry and ready to change vendors, but a new generation of solutions providers promote emotion detection that is responsive to a broader array of feelings.
  4. Ubiquitous IA: Amazon’s Echo has open APIs that keep adding capabilities. Today most of them are in the kitchen but many have moved to the family room to rule the TV. Consistent, conversational interfaces to cars and public kiosks are next.
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Funding per Internet of Things Category

Posted on February 14, 2016 by GilPress

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Venture Scanner:

We are currently tracking over 803 companies in 16 categories across 43 countries, with a total of $6.82 Billion in funding.

HT: 

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