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Speech Analytics Market Worth 1.60 Billion USD by 2020 - HPC ASIA

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According to a new market research report, "Speech Analytics Market by Type (Solutions (Speech Engine, Indexing, Analysis and Query Tools, and Dash Boards and Reporting Tool) and Services), by Deployment Type (On- Remise, Cloud), by Organization Size, by Vertical, & by Region – Global Forecast to 2020?, published by MarketsandMarkets, the market size is estimated to grow from USD 589.2 Million in 2015 to USD 1.60 Billion by 2020, at an estimated Compound Annual Growth Rate (CAGR) of 22.0% from 2015 to 2020. Browse 66 market data Tables and 25 Figures spread through 145 Pages and in-depth TOC on"Speech Analytics Market" Early buyers will receive 10% customization on this report. The speech analytics technology is witnessing the rising demand due to the need to decipher hidden insights from the customer interaction data. Rising number of contact centers, importance of customer feedback, need for Customer Relationship Management (CRM), product development, increasing competition among organizations, and stringent compliance management are some of the factors deriving the demand of speech analytics solutions and services. The speech analytics solutions are expected to dominate the market from 2015 to 2020, with larger market share than the service segment, due to growing trends of analytical insights from customer interaction data.


Spatial Analytics: Cloud, Big Data & Machine Learning session at Geospatial World Forum 2016, Rotterdam, Netherlands

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Applications of spatial data analysis are endless, cutting across many disciplines. With the advent of various sensors today – space, airborne, terrestrial alike, spatial analysis is becoming paramount in order to turn these data into valuable information. However, processing massive amount of data is a challenge as it requires complex procedures and multiple tools. The session shall highlight the latest development in big data analytics as well as some exemplary applications from different domains.


Google I/O is calling all Android robot programmers

#artificialintelligence

Pepper the robot participates in a Japanese ribbon-cutting ceremony earlier this year. Its manufacturer, SoftBank Robotics, is opening new offices in San Francisco and releasing a development kit for Android programmers. MOUNTAIN VIEW, Calif. - Pepper the robot is coming to our shores later this year, and its creators want the help of Android developers to help make it smarter. Japan-based SoftBank Robotics announced Wednesday at Google I/O, the company's annual developer's conference, that it is opening a new Pepper-focused outpost in San Francisco and unveiling an Android SDK, or software development kit, in the hopes of enticing programmers to write code for the robot. "Pepper is ultimately an unfinished product, and we just wanted to incentivize developers to expand the ways in which people can engage with a humanoid robot," says Steve Carlin, vice president of SoftBank Robotics Americas, which has an existing office in Boston.


SoftBank Prepares Humanoid Robot Pepper's U.S. Debut, Unveils New Developer Tools

IEEE Spectrum Robotics

Pepper is finally coming to America. SoftBank said today that its chatty humanoid robot, unveiled with great fanfare by the company's founder and CEO Masayoshi Son two years ago, is expected to debut in the North American market later this year. SoftBank also announced that a new developer portal is now available to anyone interested in creating applications for the robot. And tomorrow at Google I/O, SoftBank engineers will take the stage, along with Pepper, to introduce a tool that they hope will entice more developers to build apps for the robot: an Android SDK. "We're so excited to see what the development community can bring on to our platform," Steve Carlin, vice president of marketing and business development for SoftBank Robotics America, told IEEE Spectrum, adding that "ultimately what is going to really power Pepper is the creativity of this community."


SwiftKey app suggests the perfect emoji for messages as you type

Daily Mail - Science & tech

Picking the perfect emoji for a text message can be tough – but now SwiftKey has a new keyboard that can do it for you. Called Swiftmoji, this keyboard uses the firms predictive artificial intelligence technology to automatically suggest the right emoji based on what you've typed. SwiftKey, acquired by Microsoft earlier this year, released the keyboard for beta testing in Google Play this week. Although the firm has yet to share any details, the description on Google Play says it will suggest the right emoji and present them to you in one of two ways: 'Emoji Prediction Row', places the suggestions above the keyboard and the other shows you the list in the chat area of your texting application Swiftmoji is a predictive keyboard uses the firms AI technology to automatically suggest the right emoji based on what you've typed. The first, called'Emoji Prediction Row', places the suggestions above the keyboard, which you can then drag into the text box or anywhere else on the screen. And the other shows you the list in the chat area of your texting application.


Google stakes claim in AI as Facebook, Amazon rivalry heats up

USATODAY - Tech Top Stories

Google CEO Sundar Pichai speaks during Google I/O 2016 at Shoreline Amphitheatre on May 19, 2016 in Mountain View, California. "We're at a seminal moment for AI," Google CEO Sundar Pichai told 7,000 people attending I/O, the tech giant's annual developers conference at a sun-splashed Shoreline Amphitheater, an outdoor concert venue near Google's worldwide headquarters here. Pichai, who has repeatedly stressed the importance of AI and machine learning, anticipates a momentous shift in computing: super-smart machines on every device we use guiding every moment of our days. "We're entering a golden age of machine learning and artificial intelligence," Amazon CEO Jeff Bezos said in a public conversation Wednesday at the Washington Post's Transformers Conference in Washington D.C. Google was an early pioneer in artificial intelligence, which drew on its massive data files derived from consumer searches on Google.com. But it's seen its mantle slip after breakthroughs by its rivals, such as Amazon's Echo and Facebook's bot platform.


Bezos: 'Star Trek' was inspiration for Amazon Echo

USATODAY - Tech Top Stories

SAN FRANCISCO -- Amazon's Jeff Bezos is a Star Trek-loving space geek, but unlike Elon Musk, he's got no plans on for heading to Mars. People haven't really thought this through," he said. Bezos spent 45 minutes in a convivial public conversation at the Washington Post's Transformers Conference in Washington D.C., which was also webcast live. He was interviewed by Martin Baron, executive editor of the Post, which he bought in 2013. After a few jokes about whether or not he'd have a job when the conversation was done, Baron asked Bezos about Amazon's Echo device and its cloud-based voice recognition agent Alexa. The Echo got more competition Wednesday in Mountain View, Calif. Amazon's CEO said the original inspiration for the Echo was the talking computers of Star Trek. While the Echo team is still quite a ways away from reaching that goal, he didn't feel too badly because after all, Star Trek was set more than 250 years in the future. "We still have a couple of centuries, but I don't think we'll need that much time," Bezos said. Bezos said he grew up playing pretend Star Trek every day with his friends when he was in fourth grade in Houston. "We would fight over who got to be Captain Kirk or Mr. Spock, and somebody played the computer too.


Tribune Publishing's No.2 shareholder pushes for sale

Los Angeles Times

The second-largest shareholder of Los Angeles Times owner Tribune Publishing said Wednesday that passing up a buyout offer from rival publishing company Gannett could "destroy enormous shareholder value." In a letter sent to Tribune's board and filed with the Securities and Exchange Commission, downtown L.A. investment firm Oaktree Capital Management made clear it wants the board to reconsider selling to Gannett and raised serious concerns about the turnaround plans of new Tribune Chairman Michael Ferro. The board this month rejected an offer of 12.25 a share from Gannett, which responded this week by raising that offer to 15 a share. That's a 99% premium to Tribune Publishing's stock price before Gannett went public with its proposal last month. Oaktree, which owns 14.8% of Tribune Publishing's shares, this month urged the company's board to negotiate with Gannett.


SAP Technology Targets Inequity in Workplaces Around the World

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Using text mining and machine learning based on the SAP HANA platform, the initiative aims to help companies review job descriptions, performance reviews and similar people processes for potential bias and suggest changes to encourage equity. The announcement was made at the 28th annual SAPPHIRE NOW conference. These new capabilities will complement existing SAP SuccessFactors offerings that already help address inequity. Analytics and reports focused on diversity and inclusion are available to help organizations identify and track where biases exist in talent acquisition and management processes -- recruiting, compensation, succession and the like -- coupled with guidance on actions to take to address those biases. SAP is also exploring applications for mentoring programs that will help people from historically disadvantaged groups more effectively navigate and develop their careers, as well as tools for balancing family and work that will integrate elements of benefits, scheduling and management into a single process.


Machine Learning Advances Fight Against Cancer

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Developing effective tools against cancer has been a long, complicated endeavor with successes and disappointments. Despite all, cancer remains the leading cause of death worldwide. Now, machine learning and data analytics are being recruited as tools in the effort fight the disease and show significant promise according to two recent papers. In one paper – An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer – researchers from MIT and Stanford "propose models that use machine learning and optimization to suggest regimens to be tested in phase II and phase III trials." Their work, published in March in Management Science, could help cut costs and speed clinical trials.