The Human-machine interchange : how intelligent automation is changing the way businesses operate
<?xml version="1.0" encoding="UTF-8"?><modsCollection xmlns="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-8.xsd">
<mods version="3.8">
<titleInfo>
<nonSort xml:space="preserve">The </nonSort>
<title>Human-machine interchange</title>
<subTitle>: how intelligent automation is changing the way businesses operate</subTitle>
</titleInfo>
<name type="corporate" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20170006527">
<namePart>IBM Institute for Business Value</namePart>
<nameIdentifier>MAPA20170006527</nameIdentifier>
</name>
<typeOfResource>text</typeOfResource>
<originInfo>
<place>
<placeTerm type="code" authority="marccountry">esp</placeTerm>
</place>
<issuance>monographic</issuance>
<place>
<placeTerm type="text">New York</placeTerm>
</place>
<publisher>IBM Institute for Business Value</publisher>
<dateIssued>2017</dateIssued>
</originInfo>
<language>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<physicalDescription>
<form authority="marcform">print</form>
<extent>25 p.</extent>
</physicalDescription>
<abstract displayLabel="Summary">Machine learning is beginning to transform the way businesses organize their operations and benefit from technology investments. And intelligent automation the use of machines that understand their environments, interact with humans and other machines, learn from these experiences and apply what they learn to future decisions provides the foundation for this change. But realizing the value of this transformation requires more than technology investment. Companies must train employees to work with machines in new ways and redesign business processes to optimize them for automation. Some industries are highly advanced in their use of intelligent automation. In other industries, adoption is more tenuous.</abstract>
<note type="statement of responsibility">IBM Institute for Business Value</note>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080611200">
<topic>Inteligencia artificial</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080548902">
<topic>Robótica</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20150007889">
<topic>Tecnologías inteligentes</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080558970">
<topic>Inversiones</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080612160">
<topic>Programas de adaptación</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080601492">
<topic>Estudios comparativos</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080540876">
<topic>Empleo</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20160009583">
<topic>Blockchain</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20170006503">
<topic>Transformación digital</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080569815">
<topic>Organizaciones</topic>
</subject>
<classification authority="">922.131</classification>
<recordInfo>
<recordContentSource authority="marcorg">MAP</recordContentSource>
<recordCreationDate encoding="marc">171205</recordCreationDate>
<recordChangeDate encoding="iso8601">20230321115020.0</recordChangeDate>
<recordIdentifier source="MAP">MAP20170039457</recordIdentifier>
<languageOfCataloging>
<languageTerm type="code" authority="iso639-2b">spa</languageTerm>
</languageOfCataloging>
</recordInfo>
</mods>
</modsCollection>