Dr. Daniel Kraft, a Stanford-educated MD who now serves as chair of medicine for Singularity University, a learning community founded by Ray Kurzweil and Peter Diamandis, sees himself as one of those leaders. Kraft will be sharing his observations, predictions, and advice at Health 2.0's Annual Fall Conference in two weeks in Santa Clara, California. "The bottom line is that for the last nine years I've had an interesting journey doing medicine for Singularity University and started this program called Exponential Medicine, which in its essence is that the future of health and medicine isn't digital, mobile, connected health, or AI," Kraft told MobiHealthNews. Click here to register for Health 2.0's Annual Fall Conference.]
Due to Artificial Intelligence, chatbots can pursue and continue a conversation. According to a report released by Gartner, consumers will manage 85% of the total business associations with banks through Fintech chatbots by 2020. If you enjoyed the story, you can read the whole story on Banking chatbots and its benefits for the industry here:"How Chatbots are transforming Wall Street and Main Street Banks?" With his industry experience, he has rapidly developed Maruti Techlabs in specialized services like Chatbot Development, Artificial Intelligence, Natural language Processing and Machine Learning.
Despite the clear benefits that artificial intelligence (AI) presents to businesses operating across the financial services industry, developing expertise in the subject requires significant investment and commitment. The report highlights that AI is already influencing almost all areas of the retail financial services sector, encompassing investment management, banking and insurance. Some companies leverage natural language processing (NLP) to improve customer experience with the use of chatbots. "I will talk about how leading banks today are leveraging AI technologies with practical use cases for natural language processing, RPA, chatbots, data science, cognitive learning and the era of hybrid robo advisors," he explains.
Also known as virtual agents, IM bots and artificial conversational entities, chatbots are computer programmes that can respond to text or verbal commands and questions, providing advice in the place of a human staff member. "Their rise is being driven by several converging trends: the popularity of messaging apps, the explosion of the app ecosystem, advancements in AI and cognitive technologies, conversational user interfaces and a wider reach of automation," he explains. "Conversational marketing or customer service provided by chatbots is an effective way for brands to have a one-on-one conversation with their customers, learn what they care about, and build long-term relationships to better serve them." "They're beginning to use automation bots to automate order downloads; instantly allocate and fulfil orders; change the order status based on payment, allocation and fulfilment status; and send the order to the warehouse for fulfilment and shipping," he says.
For fintechs and FIs, alternative data is typically gathered through machine learning and artificial intelligence. The Boston-based startup applies artificial intelligence and biologically-based machine learning techniques to provide lenders with non-linear, dynamic models of credit risk for their customers (both consumer and small businesses). One example is analyzing numbers as a time series: meaning recognizing there's a difference when, for instance, someone misses 3 payments in 3 months and someone misses 3 payments in 18 months. For those companies that do not want to ignore this market, FICO makes little sense, Underwrite.ai's Mike Armstrong, president of Zest Finance (another platform that uses MI to provide data to consumer lenders), referred to the Consumer Financial Protection Bureau issued "no action letter," last week as a feat for the alternative data model.
For all the discussion on what the future AR/VR user experience will look like and how to get there, four categories stand out which will serve as a point of focus over the next 1-2 years to push the entire industry forward: Displays, expanding network bandwidths, deep learning, and interactive communication. Smartphones are already providing consumers with the level of precision screen specs and computing power required to enjoy AR experiences. Deep learning is essential in fostering real-time image recognition and tracking augmented objects, giving them real positional data and features. While advancements still need to be made across the industry for a truly augmented reality future, great companies and great minds are working together to make our dreams a reality.
"ML" platforms from vendors like Amazon, Google, IBM, Microsoft, and others can automate business processes on a previously impossible scale and free up employees for more creative, thought-intensive work. For example, the Cloud Machine Learning platform Google opened for business last year provides image-recognition services--not too different from what Google Photos does for your phone's pictures--that allow Airbus to correct satellite imagery to distinguish between snow and clouds. Box, for example, first signed up with Google to use its Google Cloud Machine Learning Engine to automate image recognition. "So when we looked at what problem we could solve first with machine learning, it made natural sense to start with providing an image recognition service through our partnership with Google Cloud."
The company predicts that 24.5 million voice-compatible devices will be shipped this year, ready to field the requests of their owners to turn on the lights, lock the door or close the blinds and play some music In 2014, Apple introduced its Siri-equipped smart-home system HomeKit, allowing users to control all their connected products -- Wi-Fi, lights, thermostats, etc. Brookfield worked with Apple for about 15 months to integrate HomeKit with the home builder's specifications and chose the tech giant over others because of its commitment to privacy. Homeowners can purchase a variety of Amazon voice-control products, such as the Echo, Echo Dot and Echo Show, to give commands. Alex Capecelatro, co-founder of Josh.ai, is trying to make his company's virtual assistant, Josh, your new roommate.
Des Butler, of the Queensland University of Technology, said the privacy risks involved in driverless vehicles were a "sleeper issue" that regulators were yet to fully consider, even though car manufacturers say the technology could be on roads in Australia by 2020. Christensen said the technology's "largest benefit" would be reducing Australia's road toll. Last month, a parliamentary inquiry into social issues relating to the roll-out of driverless vehicles recommended the establishment of a national taskforce to deal with the "ownership, use and security frameworks applicable to the data generated by automated vehicles". It also recommended further investigation into establishing exactly who owned data produced by a car, and the rights of consumers, manufacturers, insurers and government agencies.
Artificial intelligence (AI), with its capability to draw "intelligent" inferences based on vast amounts of raw data, may hold the solution. Follow the money, and you'll see big bets on healthcare AI across the globe: 63% of healthcare executives worldwide already actively invest in AI technologies, and 74% say they are planning to do so. PwC's Global Artificial Intelligence Study, which analyzed AI's potential impact on each industry, found that healthcare (along with retail and financial services) is poised to reap some of the biggest gains from AI in the form of improved productivity, enhanced product quality, and increased consumption. For example, 94% of survey respondents in Nigeria, 85% in Turkey, 41% in Germany, and 39% in the UK are willing to talk to and interact with a device, platform, or AI-guided robot that can answer health questions, perform tests, make diagnoses based on those tests, and recommend and administer treatment.