interface


Artificial Intelligence is making insurers smarter - Accenture Insurance Blog

#artificialintelligence

The recent Efma-Accenture Innovation in Insurance Awards 2017 offered a valuable opportunity to learn how global insurers are leveraging digital technologies to transform themselves into everyday insurers. The innovations we saw are built on exponentially expanding digital technologies such as Artificial Intelligence (AI), Internet of Things (IoT), big data, analytics, and blockchain, and are being applied across the entire insurance value chain, from product development to claims. To that end, leading insurers are embracing new technologies to shape innovative business models and client value proposition. From simultaneous translations, to machine learning natural language interface, to self-driving cars, artificial intelligence is becoming the new User Interface.


Artificial Intelligence Can Free HR Professionals to Focus on Strategy

#artificialintelligence

IBM's "virtual agent for HR" uses cognitive technology to extend the expertise of employees in HR service centers, said Bob Schultz, general manager of IBM Talent Management Solutions in San Francisco. By understanding natural language, the virtual agent allows HR client services to serve employees better while reducing labor costs, Schultz said. Full-service HR vendor ADP also is developing a virtual assistant for HR built on natural language processing, said Stuart Sackman, ADP's corporate vice president of multinational solutions. Here are three examples of how ADP's applications will work: The AI delivers personalized coaching to managers through a product called Compass that uses manager responses to questionnaires and feedback from direct reports or peers to make suggestions.


Artificial intelligence to become main way banks interact with customers within 3 years: Accenture

#artificialintelligence

LONDON: Artificial intelligence (AI) will become the primary way banks interact with their customers within the next three years, according to three quarters of bankers surveyed by consultancy Accenture in a new report. Four in five bankers believe AI will "revolutionise" the way in which banks gather information as well as how they interact with their clients, said the Accenture Banking Technology Vision 2017 report, which surveyed more than 600 top bankers and also consulted tech industry experts and academics. "The big paradox here is that people think technology will lead to banking becoming more and more automated and less and less personalised, but what we've seen coming through here is the view that technology will actually help banking become a lot more personalised," said Alan McIntyre, head of the Accenture's banking practice and co-author of the report. Privacy concerns The top reason for using AI for user interfaces, cited by 60 percent of the bankers surveyed, was "to gain data analysis and insights".


How Can AI Improve Collaboration Technology?

#artificialintelligence

The MindMeld application programming interface is currently being used by more than 1,200 companies globally, VentureBeat reports, and its customers and investors include Google, Samsung, Intel, Telefonica, Liberty Global, IDG, USAA, Uniqlo, Spotify and In-Q-Tel, a CIA investment fund. "Creating a high-quality conversational interface requires six distinct types of ML, including Natural Language Processing, Question Answering, Dialog Management and so on," Rowan Trollope, senior vice president of IoT and Applications at Cisco, said in a company blog post. The MindMeld application programming interface is currently being used by more than 1,200 companies globally, VentureBeat reports, and its customers and investors include Google, Samsung, Intel, Telefonica, Liberty Global, IDG, USAA, Uniqlo, Spotify and In-Q-Tel, a CIA investment fund. "Creating a high-quality conversational interface requires six distinct types of ML, including Natural Language Processing, Question Answering, Dialog Management and so on," Rowan Trollope, senior vice president of IoT and Applications at Cisco, said in a company blog post.


The 5 biggest web design trends of 2017 so far

#artificialintelligence

In other words, as things like style guides, design systems and pattern libraries become more important than the visual layout of individual pages, we're seeing a seismic shift in what web design actually involves. AI has already worked its way into mainstream web design, through technologies like conversational interfaces (chatbots). Meanwhile if you want to learn more about creating your own chatbot, check out our How to build a chatbot interface post, How to design a chatbot experience tips and these 5 essential chatbot learning resources. To improve your understanding of the use of words in UX, take a look at Guy Ligertwood's checklist UX Writing and How to Do it, and Making Chatbots Talk – Writing Conversational UI Scripts Step by Step by Anna Kulawik, and How to Write For a Bot by Paul Boutin.


Resolvr

#artificialintelligence

Traditionally accessing specific elements of your database required technical knowledge, a lot of time and perfect communication. Using dynamically creqted SQL style models for your database that we generate at run time, we map the resolved query from Resolvr Core to an actual SQL query for your database. Set's up a high level communication protocol that allows the Font End to have a two way conversation with Resolvr Core so that if requests are made that are missing information Resolvr Core can request the missing details. Takes the raw output of the Query Engine and the determined return type from Resolvr Core and generates the metadata that the front end will need to render results.


Man Meets Machine Trajectory Magazine

#artificialintelligence

Imagine an Air Force pilot flying an aircraft equipped with highly complex sensor platforms collecting data not only about the jet and the surrounding environment, but the pilot as well. Dr. James Christensen, a portfolio manager at the Air Force Research Lab, described the ability to sense and understand the state and capabilities of the operator as critical to the military's successful employment of highly automated systems. Dr. Justin Sanchez, director of the Defense Advanced Research Projects Agency's (DARPA) Biological Technologies Office, spoke about the challenge of developing precise neuro-technologies that interact with certain circuits of the brain or peripheral nervous system in real time, monitoring for changes in brain signals. Because this capability relies on quality optics, it is conceivable to someday measure this blood flow data from space--allowing collection of biometric data from huge populations.


4 Ways Machine Learning Boosts The Customer Experience

#artificialintelligence

The most recent Current Account Switch Service campaign from BACS used machine learning technology in partnership with programmatic ad buying to match audience profiles with highly targeted video content. Digital tools and services increasingly contain features that provide advanced recommendations and help users make decisions faster. The latest advances in mobile operating systems offer customers decision support between different user interfaces. As we're at the beginning of this journey, today's intelligent machines need training by humans, and work best in collaboration with real people.


When bots fight, who settles it?

#artificialintelligence

In the era of ambient computing, AI, bots, and humans will need to interact seamlessly with each other across platforms, devices, and tasks. Take Clara, a virtual assistant bot that completes tasks by communicating with other people's bots: If Clara gets into a battle with another bot, then her abilities become null. In an interconnected world run by voice-operated interfaces, having customer service exist in siloed products doesn't make sense. As users become accustomed to fewer and fewer barriers between products, customer service will need to become more fluent at mediating the relationships between products as well.


When bots fight, who settles it?

#artificialintelligence

In the era of ambient computing, AI, bots, and humans will need to interact seamlessly with each other across platforms, devices, and tasks. Take Clara, a virtual assistant bot that completes tasks by communicating with other people's bots: If Clara gets into a battle with another bot, then her abilities become null. In an interconnected world run by voice-operated interfaces, having customer service exist in siloed products doesn't make sense. As users become accustomed to fewer and fewer barriers between products, customer service will need to become more fluent at mediating the relationships between products as well.