<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Predicting personality</title>
    <subTitle>using AI to understand people and win more business</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>D'Agostino, Andrew</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Skloot, Greg</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <dateIssued encoding="marc">2020</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xii, 324 pages : illustrations ; 24 cm.</extent>
  </physicalDescription>
  <abstract>"As the world has become hyper-connected, people have become hyper-skeptical, and communication has actually gotten much harder. As connected as we are, attention spans are shrinking, trust is dwindling, and growth is less guaranteed. An exciting new branch of artificial intelligence--Personality AI--is setting out to change that: marrying traditional machine learning, data analytics, and behavioral psychology, Personality AI helps professional communicators break through the noise with empathy and build trust with their audience, leveraging data to accelerate trust, build relationships, and win more customers. The proposed title is the playbook for anyone whose livelihood or business is built on their ability to communicate effectively and build teams. Exploring the next generation of human communication, Crystal co-founder and CEO Drew D'Agostino exposes how businesses can reap the benefits of AI and machine learning today, not tomorrow. Readers will not only learn what Personality AI is and how it works, but direct applications in business, life, and how to understand personality types in context--sales, recruiting, coaching, and more. D'Agostino also presents important considerations that using Personality AI brings up in ethics and compliance conversations, plus guidelines for any company that wants to use their people data to learn and execute . This book provides practical guidelines for using this technology to accelerate growth, strengthen relationships, communicate more effectively, and win more business"--</abstract>
  <tableOfContents>The truth about personality - making sense of human behavior in on unpredictable world -- Read your own user manual - understanding your personality and how to harness it -- How personality AI works - understanding the technology driving the personality revolution -- Communicate better - using personality insights for every conversation -- Predict responsibly - understanding the proper, ethical use of personality AI.</tableOfContents>
  <note type="statement of responsibility">Drew D'Agostino and Greg Skloot.</note>
  <note>Includes index.</note>
  <subject authority="lcsh">
    <topic>Personality assessment</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Interpersonal communication</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Customer relations</topic>
    <topic>Psychological aspects</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Marketing</topic>
    <topic>Psychological aspects</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Psychology, Industrial</topic>
  </subject>
  <classification authority="lcc">BF698.4 .D34 2020</classification>
  <classification authority="ddc" edition="23">658.80019 D134p</classification>
  <identifier type="isbn">9781119630999</identifier>
  <identifier type="lccn">2019040992</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">240524</recordCreationDate>
    <recordChangeDate encoding="iso8601">20240606130335.0</recordChangeDate>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
