Daily Archives: February 20, 2017

LONDON--(BUSINESS WIRE)--

Technavios latest market research report on the artificial intelligence market in the US education sector provides an analysis of the most important trends expected to impact the market outlook from 2017-2021. Technavio defines an emerging trend as a factor that has the potential to significantly impact the market and contribute to its growth or decline.

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Jhansi Mary, a lead analyst from Technavio, specializing in research on education technology sector says, The artificial intelligence market in the US education sector is expected to grow at a spectacular CAGR of more than 47%. The US education system is the pioneer in implementing education technology solutions with the objective to improve the quality of education imparted to students and consequently the graduation rates. Therefore, many public and private educational institutions in the US are investing large resources in implementing the digitization of education.

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The top three emerging market trends driving the artificial intelligence market in the US education sector according to Technavio education research analysts are:

Artificial intelligence-empowered educational games

Educational games provide teachers a useful medium to teach education concepts in an interactive and engaging manner. Such a method not only generates curiosity but also motivates through reward points, badges, and levels. Vendors are incorporating features of artificial intelligence in games to enhance the interactivity element. These games embody the adaptive learning feature so that students can be given frequent and timely suggestions for a guided learning experience. These games improvise adaptive learning features while deploying machine learning, a form of artificial intelligence.

Duolingo, an open-source provider of language learning courses and games, received an investment of USD 45 million from Google Capital in 2015. This investment was used to bolster the deployment of machine learning and NLP technologies in their products.

Assists collaborative learning model

With new learning models, such as blended learning and flipped classrooms, evolving there is a growing focus by educators to create an environment that facilitates collaborative learning among students. Teachers have been introducing various group activities, such as role plays and problem-solving exercises, to motivate students to learn together.

Artificial intelligence will yield a more scientific outlook toward developing collaboration with practical methods such as virtual agents, adaptive group formation, intelligent facilitation, and expert moderation. Such defined models will ease the implementation and assessment of collaborative learning models.

All these methods have been designed to foster efficient group activities by considering each student's learning needs and cognitive skills. While performing activities, students are provided with appropriate guidance, advice, and inputs by the artificial intelligent system. This ensures teachers obtain the desired outcomes, says Jhansi.

Facilitates better course designing activities

Content analytics consist of techniques that assist course content designers in designing, developing, modifying, and upgrading content based on the needs of learners. Owing to the benefits it provides it has increasingly become a part of the technology-enabled education system. Artificial intelligence has taken this technique a step forward ever since its introduction.

Companies, such as IBM, are combining cognitive neuroscience and cognitive computing to harness the benefits of artificial intelligence in educational content. It uses research in the field of cognitive neuroscience to understand human learning and other cognitive processes. These inputs help to create content that will be more engaging and interactive for learners.

Coursera, a massive online open course (MOOC) provider, offers content backed by artificial intelligence software. It helps in closing loopholes present in the education content, such as differences in lecture notes and educational materials. Therefore, the presence of such smart software will positively impact the market growth.

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About Technavio

Technavio is a leading global technology research and advisory company. The company develops over 2000 pieces of research every year, covering more than 500 technologies across 80 countries. Technavio has about 300 analysts globally who specialize in customized consulting and business research assignments across the latest leading edge technologies.

Technavio analysts employ primary as well as secondary research techniques to ascertain the size and vendor landscape in a range of markets. Analysts obtain information using a combination of bottom-up and top-down approaches, besides using in-house market modeling tools and proprietary databases. They corroborate this data with the data obtained from various market participants and stakeholders across the value chain, including vendors, service providers, distributors, re-sellers, and end-users.

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Top 3 Trends Impacting the Artificial Intelligence Market in the US Education Sector Through 2021: Technavio - Yahoo Finance

Utrip CEO Gilad Berenstein. (Utrip Photo)

Utrip, a Seattle startup that uses machine learning to help travelers plan their trips , just closed a $4 million funding round.

Investors in the Series A round include Plug and Play, Tiempo Capital, Acorn Ventures, and executives from companies such as Apple and Costco, participatingas angel investors. The cash will go toward Utrips machine learning and data science operations, which fuel the platforms recommendation engine.

One of the things that our travelers love about Utrip is the depth with which we curate destinations and go beyond those top 10 lists that are available everywhere to offer experiences that are really unique and local and authentic for that destination, said Utrip CEO Gilad Berenstein. Thats one big priority, continuing to build out our machine learning capabilities as well as our human expert network, our chefs, artists, historians, etcetera.

Utrip also plans to grow its team by about a third this year, primarily focusing on sales and marketing. The startup currently employs 18 in Seattle.

Utrips itinerary-planning tools are free for consumers. The startup makes money by licensing its software and building products for businesses in the hospitalityspace, like hotels and cruise lines.

All of our partners be it small or big, be it hotel or cruise line, airline, etcetera are interested in offering personalized experiences and recommendations their potential guests, said Berenstein. So, ultimately, this goes all the way from making great recommendations and itineraries on their sites to doing personalized email marketing and personalized social media promotion where they can show the right recommendation, the right experience, to the right traveler.

Berenstein and his family moved to the U.S. from Israel when he was a child. As an immigrant entrepreneur and the founder of a travel-based business, he has a few thoughts on the crush of immigration-related news from the past few weeks.

Im a believer in immigration and Im a believer in open borders and I think that travel its this really beautiful, eye-opening experience, he said. When people travel they get to see the world and we all get to remember that our perspective is not the only perspective and that our way of life is not the only way of life. I think that if we look at some of the craziness right now thats happening in the world, more travel and more connections between people in different countries and continents is only for the good.

Here is a full list of investors participating in Utrips series A:Plug and Play, Tiempo Capital, Acorn Ventures, SWAN Venture Fund and W&W Capital. Angel investors encompass Apple, Inc. Treasurer Gary Wipfler; Costco CFO Richard Galanti; Savers Inc. CEO Ken Alterman; H. S. Wright III, CEO and founder of Seattle Hospitality Group as well a partner in family businesses that own the Seattle Space Needle, Chihuly Garden and Glass and the Sheraton Seattle Hotel; veteran hotel executive Carla Murray; hotelier Craig Schafer and Neal Dempsey, a partner at Bay Partners.

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Utrip raises $4M to build out artificial intelligence-based travel planning platform - GeekWire

ORLANDO From Watson to Siri, Alexa to Cortana, consumers and patients have become much more familiar with artificial intelligence and natural language processing in recent years. Pick your terminology: machine learning, cognitive computing, neural networks/deep learning. All are becoming more commonplace in our smartphones, in our kitchens and as they continue to evolve at a rapid pace, expectations are high for how they'll impact healthcare.

Skepticism is, too. And even fear.

As it sparks equal part doubt and hope (and not a little hype) from patients, physicians and technologists, a panel of IT experts at HIMSS17 discussed the future of AI in healthcare on Sunday afternoon.

Kenneth Kleinberg, managing director at The Advisory Board Company, spoke with execs from two medical AI startups: Cory Kidd, CEO of Catalia Health, and Jay Parkinson, MD, founder and CMO of Sherpaa.

Catalia developed a small robot, the Mabu Personal Healthcare Companion, aimed at assisting with "long-term patient engagement." It's able to have tailored conversations with patients that can evolve over time as the platform developed using principles of behavioral psychology gains daily data about treatment plans, health challenges and outcomes.

Sherpaa is billed as an "on-demand doctor practice" that connects subscribers with physicians, via its app, who can make diagnoses, order lab tests and imaging and prescribe medications at locations near the patient. "Seventy percent of time, the doctors have a diagnosis," said Parkinson. "Most cases can be solved virtually." Rather than just a virtual care, platform, it enables "care coordination with local clinicians in the community," he said.

In this fast-changing environment, there are many questions to ask: "We're starting to see these AI systems appear in other parts of our lives," said Kleinberg. "How valuable are they? How capable are they? What kind of authority will these systems attain?"

And also: "What does it mean to be a physician and patient in this new age?"

Kidd said he's a "big believer when it's used right."

Parkinson agreed: "It has to be targeted to be successful."

Another important question: For all the hype and enthusiasm about AI, "where on the inflection curve are we?" asked Kleinberg. "Is it going to take off and get a lot better? And does it offer more benefits at the patient engagement level? Or as an assistant to clinicians?"

For Kidd, it's clearly the former, as Catalia's technology deploys AI to help patients manage their own chronic conditions.

"The kinds of algorithms we're developing, we're building up psychological models of patients with every encounter," he explained. "We start with two types of psychologies: The psychology of relationships how people develop relationships over time as well as the psychology of behavior change: How do we chose the right technique to use with this person right now?"

The platform also gets "smarter" as it become more attuned to "what we call our biographical model, which is kind of a catch-all for everything else we learn in conversation," he said. "This man has a couple cats, this woman's son calls her every Sunday afternoon, whatever it might be that we'll use later in conversations."

Consumer applications driving clinical innovations AI is fast advancing in healthcare in large part because it's evolving so quickly in the consumer space. Take Apple's Siri, for instance: "The more you talk to it, the better it makes our product," said Kidd. "Literally. We're licensing the same voice recognition and voice outlet technology thats running on your iPhone right now."

For his part, Parkinson sees problems with simply adding AI technology onto the doctor-patient relationship as it currently exists. Most healthcare encounters involve "an oral conversation between doctor and patient," he said, where "retention is 15 percent or less."

For AI to truly be an effective augmentation of clinical practices, that conversation "needs to be less oral and more text-driven," he said. "I'm worried about layering AI on a broken delivery process."

But machine learning is starting to change the came in areas large and small throughout healthcare. Kleinberg pointed to the area of imaging recognition. IBM, for instance, made headlines when it acquired Merge Healthcare for $1 billion in 2015, allowing Watson to "see" medical images the largest data source in healthcare.

Then there are the various iPhone apps that say they can help diagnose skin cancer with photos users take of their own moles. Kleinberg said he mentioned the apps to a dermatologist friend of his.

"I want to quote him very carefully: He said, 'Naaaaahhhhhh.'"

But Parkinson took a different view: "About 25 percent of our cases have photos attached," he said. "Right now, if it's a weird mole we're sending people out to see a dermatologist. But I would totally love to replace that (doctor) with a robot. And I don't think that's too far off."

In the near term, however, "you would be amazed at the image quality that people taking photographs think are good photographs," he said. "So there's a lot of education for the patient about how to take a picture."

The patient's view If artificial intelligence is having promising if controversial impact so far on the clinical side, one of the most important aspects of this evolution also still has some questions to answer. Most notably: What do the patient think?

One one hand, Kleinberg pointed to AI pilots where patients paired with humanoid robots "felt a sense of loss" after the test ended. "One woman followed the robot out and waved goodbye to it."

On the other, "some people are horrified that we would be letting machines play a part in a role that should be played by humans," he said.

The big question, then: "Do we have place now for society and a system such as this?" he asked.

"The first time I put something like this in a patient's home was 10 years ago now," said Kidd. "We've seen, with the various versions of AI and robots, that people can develop an attachment to them. At the same time, typical conversation is two or three minutes. It's not like people spend all day talking with these."

It's essential, he argued, to be up front with patients about just what the technology can and should do.

"How you introduce this, and how you couch the terminology around this technology and what it can and can't do is actually very important in making it effective for patients," said Kidd. "We don't try to convince anyone that this is a doctor or a nurse. As long as we set up the relationship in the right way so people understand how it works and what it can do, it can be very effective.

"There is this cultural conception that AI and robotics can be scary," he conceded. "But what I've seen, putting this in front of patients is that this is a tool that can do something and be very effective, and people like it a lot."

HIMSS17runs from Feb. 19-23, 2017 at the Orange County Convention Center.

This article is part of our ongoing coverage of HIMSS17. VisitDestination HIMSS17for previews, reporting live from the show floor and after the conference.

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Artificial intelligence set to transform the patient experience, but many questions still to be answered - Healthcare IT News