Questionnaire & Opinion Survey


Korn Ferry Global Survey: Artificial Intelligence (AI) Reshaping the Role of the Recruiter - Media & Press

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EDITOR'S NOTE: Survey results at bottom of release, click here for infographic LOS ANGELES, Jan. 18, 2018 -- Once feared as making the role of the recruiter impersonal and robotic, Artificial Intelligence (AI) today gives recruiters the information they need to source and hire higher-quality professionals. Those are the findings of a global Korn Ferry (NYSE:KFY) survey of nearly 800 talent acquisition professionals. Nearly two-thirds (63 percent) of respondents say AI has changed the way recruiting is done in their organization, with 69 percent saying using AI as a sourcing tool garners higher-quality candidates. When asked to compare the quality of candidates today to 5 years ago, when AI was still in its infancy, 59 percent said candidates are more qualified today, and 51 percent said roles are filled in a more timely manner. According to the survey, talent acquisition professionals are welcoming AI as a tool.


Artificial Intelligence and Machine Learning. Infographic @zdnet

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Hoy traemos a este espacio esta infografía de ZDnet, que nos presentan así: Infographic: 50 percent of companies plan to use AI soon, but haven't worked out the details yet Despite lacking experience and skills, many respondents to a recent Tech Pro Research survey said they'd find a way to pull off the implementation in-house. In a recent survey by Tech Pro Research, only 28 percent of respondents, most of whom were in IT leadership positions, said they have firsthand experience with AI or machine learning. However, if the survey results hold true, the majority of respondents will be using the technologies at work in the next few years. Another interesting findings from this survey was that while 42 percent of respondents said their technical staff lack the skills to implement and support AI and machine learning, 41 percent said that all the work in this area would be done in-house. Thirty-nine percent of respondents said their companies were also still working on selecting AI and machine learning vendors.


Korn Ferry Global Survey: Artificial Intelligence (AI) Reshaping the Role of the Recruiter

#artificialintelligence

LOS ANGELES--(BUSINESS WIRE)--Once feared as making the role of the recruiter impersonal and robotic, Artificial Intelligence (AI) today gives recruiters the information they need to source and hire higher-quality professionals. Those are the findings of a global Korn Ferry (NYSE:KFY) survey of nearly 800 talent acquisition professionals. EDITOR'S NOTE: Survey results at bottom of release Nearly two-thirds (63 percent) of respondents say AI has changed the way recruiting is done in their organization, with 69 percent saying using AI as a sourcing tool garners higher-quality candidates. When asked to compare the quality of candidates today to 5 years ago, when AI was still in its infancy, 59 percent said candidates are more qualified today, and 51 percent said roles are filled in a more timely manner. According to the survey, talent acquisition professionals are welcoming AI as a tool.


iTWire - Digital assistants more often used in homes than smartphones: survey

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Global consulting firm Accenture notes that stand-alone, AI-powered digital voice assistant devices are being used "for a range of consumer services such as playing music, turning the heat and lights on and off, and providing news, weather and sports scores." That's to be expected, of course - that's what they're for - but in an online survey of 21,000 consumers in 19 countries, Accenture discovered that digital virtual assistants are becoming "the central hub for home activities in Australia." Again, that's the whole point of digital assistants - they're meant to be the hub of your digital home, not just answering questions but helping you control your other connected devices, but naturally, it's always good to see this being confirmed by actual users. In addition, "three quarters (75%) of these owners said they use their smartphones less for entertainment, more than two thirds use them less for online purchasing and more than half for general information searches (71% and 55%, respectively)." David Sovie, global MD of Accenture's High Tech business said: "Digital voice assistant devices are challenging smartphones as the central hub for all activities in the home.


Reshaping Business With Artificial Intelligence

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Expectations for artificial intelligence (AI) are sky-high, but what are businesses actually doing now? The goal of this report is to present a realistic baseline that allows companies to compare their AI ambitions and efforts. Building on data rather than conjecture, the research is based on a global survey of more than 3,000 executives, managers, and analysts across industries and in-depth interviews with more than 30 technology experts and executives. The gap between ambition and execution is large at most companies. Three-quarters of executives believe AI will enable their companies to move into new businesses.


Text Analysis in Excel: Real world use-cases

@machinelearnbot

Last month, we launched an Excel add-in, a solution for using ParallelDots NLP APIs to do text analysis on unstructured data without writing a single line of code. The Excel add-in is very easy to use and provides a convenient, yet effective solution for your text analysis needs. In an earlier post, we provided you with detailed information of how the excel add-in works. In this post, we will discuss some real-world use cases where you can use the Excel Add-in to raise your analytics game without spending a fortune on building a data science team. You can analyze a corpus of customer reviews to understand the general impression about your product.


Flights Planned for Annual Survey of Mexican Gray Wolves

U.S. News

Residents of eastern Arizona and western New Mexico may see and hear a low-flying helicopter in coming weeks as biologists conduct their annual population survey as part of a project to introduce Mexican gray wolves to their native habitat.


Amazon Alexa Smart Speaker Market Share Dips Below 70% In U.S., Google Rises to 25% - Voicebot

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A new study from Edison Research and NPR reports that Amazon Echo maintains almost a three-to-one consumer market share advantage over Google Home in the U.S., but the gap narrowed considerably in 2017 to settle at 69% to 25%. This represents the first time Amazon has dropped below 70% market share. The data was collected during a telephone survey of 1,010 adults the last week of December after the 2017 holiday season concluded. The market share data was derived from an email interview with the research principle and the report's representation that 16% of survey participants owned a smart speaker of any type, 11% indicated Amazon Echo ownership and 4% for Google Home. Amazon Echo was the only smart speaker for nearly two years.


AAA is testing self-driving cars to see how safe they are

Engadget

Fully autonomous cars won't be allowed on the streets until they're safe, but how will we know when that happens? The American Automobile Association (AAA) is trying to figure that out by testing self-driving cars powered by Torc Robotics "Asimov" system. The aim is to gather information and develop safety criteria that could be used by any company developing self-driving tech. "By creating a blueprint for automakers to follow, we hope to build public trust in technology," said AAA Northern California, Nevada & Utah CEO Tim Condon. A recent AAA survey found that 75 percent of Americans are skeptical of self-driving cars, and as a driver-focused, independent organization, the AAA feels its well-placed to help build up that trust.


Clustering the Top 1%: Asset Analysis in R – freeCodeCamp

@machinelearnbot

The recent tax reform bill passed in the US has raised a lot of questions about wealth distribution in the country. While there's been a lot of focus on how the tax plan will impact income, there's been less attention focused on how this plan impacts the assets of wealthy households. The goal of this post is to show how the R programming language can be used to data mine publicly available sources to better understand the net worth of affluent households in the US. To answer these questions, we present descriptive statistics of this survey data and perform cluster analysis on affluent households, which we identify as households with a net worth of more than $1,000,000 USD. Based on the survey data, our analysis shows that the net worth of the top 1% of households in the US is $10.4M and the net worth of the top 0.1% of households is $43.2M.