Isbn: 9788743809708 - Technology Management, Artificial Intelligence, and Machine Learning Strategies to Improve Technology Integration and Usage in the Workplace: ... and Information Science and Technology) (7 results)

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  • Condition: New

    US$ 187.00

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  • Language: English

    Published by River Publishers, 2026

    8743809707 / 9788743809708

    • Hardcover

    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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    US$ 183.86

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    HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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    Condition: New. Dr. Bradley Fowler Ph.D. is instrumental in supporting information technology, information systems, cybersecurity, cloud computing, and cyberpsychology practitioners at the graduate level as adjunct professor at Capitol Technology University and A.

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    Buch. Condition: Neu. Neuware - Technology Management: AI and Machine Learning Strategies for the Workplace delivers a globally compliant framework that integrates incident response planning, disaster recovery, industrial-organizational psychology, information security policy templates, auditing framework, and innovative managerial methods to mitigate risk and ensure a seamless adoption and advancement of technology tools and applications across diverse workplace environments. Enveloped are current trends of cybersecurity. Trusted paths to mitigate personnel noncompliance. This is best suited for all levels of technology personnel, i.e., entry level to C-suite executive leaders.Neglecting to integrate the audit frameworks this technology management tool offers your workplace will impact your leverage over competitors. Each reference derives from 2023 to present research studies and will be substantial in supporting your quest to understand technology management effectively for the next 4 years before modifications are required. This crucial investment is your knowledge partner to steer your path towards excellence in governance and reducing human error in your workplace.Understanding 2025 enacted NIST special publication policies, you need to be familiar with and learn how to adopt them and integrate them into your workplace policy. Gain the courage to educate executive leaders about the role technology management plays in supporting decision success. And improve compliance with personnel on the value of technology adoption and artificial intelligence and machine learning. Most importantly, learn why industrial organizational psychology is required to introduce effective change management that aligns with technology management your workplace can understand, help manage, and appreciate.

  • Language: English

    Published by River Publishers, Gistrup, 2026

    8743809707 / 9788743809708

    • Hardcover
    • Print on Demand

    Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Hardcover. Condition: new. Hardcover. Technology Management: AI and Machine Learning Strategies for the Workplace delivers a globally compliant framework that integrates incident response planning, disaster recovery, industrial-organizational psychology, information security policy templates, auditing framework, and innovative managerial methods to mitigate risk and ensure a seamless adoption and advancement of technology tools and applications across diverse workplace environments. Enveloped are current trends of cybersecurity. Trusted paths to mitigate personnel noncompliance. This is best suited for all levels of technology personnel, i.e., entry level to C-suite executive leaders.Neglecting to integrate the audit frameworks this technology management tool offers your workplace will impact your leverage over competitors. Each reference derives from 2023 to present research studies and will be substantial in supporting your quest to understand technology management effectively for the next 4 years before modifications are required. This crucial investment is your knowledge partner to steer your path towards excellence in governance and reducing human error in your workplace.Understanding 2025 enacted NIST special publication policies, you need to be familiar with and learn how to adopt them and integrate them into your workplace policy. Gain the courage to educate executive leaders about the role technology management plays in supporting decision success. And improve compliance with personnel on the value of technology adoption and artificial intelligence and machine learning. Most importantly, learn why industrial organizational psychology is required to introduce effective change management that aligns with technology management your workplace can understand, help manage, and appreciate. This book is a comprehensive guide to technology management, integrating AI, machine learning, cybersecurity, disaster recovery, and organizational psychology, and provides globally compliant frameworks, risk mitigation strategies, and practical tools for personnel at all levels to ensure effective workplace technology adoption. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Language: English

    Published by River Publishers, Gistrup, 2026

    8743809707 / 9788743809708

    • Hardcover
    • Print on Demand

    Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    US$ 205.35

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    Hardcover. Condition: new. Hardcover. Technology Management: AI and Machine Learning Strategies for the Workplace delivers a globally compliant framework that integrates incident response planning, disaster recovery, industrial-organizational psychology, information security policy templates, auditing framework, and innovative managerial methods to mitigate risk and ensure a seamless adoption and advancement of technology tools and applications across diverse workplace environments. Enveloped are current trends of cybersecurity. Trusted paths to mitigate personnel noncompliance. This is best suited for all levels of technology personnel, i.e., entry level to C-suite executive leaders.Neglecting to integrate the audit frameworks this technology management tool offers your workplace will impact your leverage over competitors. Each reference derives from 2023 to present research studies and will be substantial in supporting your quest to understand technology management effectively for the next 4 years before modifications are required. This crucial investment is your knowledge partner to steer your path towards excellence in governance and reducing human error in your workplace.Understanding 2025 enacted NIST special publication policies, you need to be familiar with and learn how to adopt them and integrate them into your workplace policy. Gain the courage to educate executive leaders about the role technology management plays in supporting decision success. And improve compliance with personnel on the value of technology adoption and artificial intelligence and machine learning. Most importantly, learn why industrial organizational psychology is required to introduce effective change management that aligns with technology management your workplace can understand, help manage, and appreciate. This book is a comprehensive guide to technology management, integrating AI, machine learning, cybersecurity, disaster recovery, and organizational psychology, and provides globally compliant frameworks, risk mitigation strategies, and practical tools for personnel at all levels to ensure effective workplace technology adoption. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Language: English

    Published by River Publishers, Gistrup, 2026

    8743809707 / 9788743809708

    • Hardcover
    • Print on Demand

    Seller: CitiRetail, Stevenage, United KingdomCitiRetail

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    Condition: New

    US$ 193.82

    US$ 49.56 shipping 
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    Hardcover. Condition: new. Hardcover. Technology Management: AI and Machine Learning Strategies for the Workplace delivers a globally compliant framework that integrates incident response planning, disaster recovery, industrial-organizational psychology, information security policy templates, auditing framework, and innovative managerial methods to mitigate risk and ensure a seamless adoption and advancement of technology tools and applications across diverse workplace environments. Enveloped are current trends of cybersecurity. Trusted paths to mitigate personnel noncompliance. This is best suited for all levels of technology personnel, i.e., entry level to C-suite executive leaders.Neglecting to integrate the audit frameworks this technology management tool offers your workplace will impact your leverage over competitors. Each reference derives from 2023 to present research studies and will be substantial in supporting your quest to understand technology management effectively for the next 4 years before modifications are required. This crucial investment is your knowledge partner to steer your path towards excellence in governance and reducing human error in your workplace.Understanding 2025 enacted NIST special publication policies, you need to be familiar with and learn how to adopt them and integrate them into your workplace policy. Gain the courage to educate executive leaders about the role technology management plays in supporting decision success. And improve compliance with personnel on the value of technology adoption and artificial intelligence and machine learning. Most importantly, learn why industrial organizational psychology is required to introduce effective change management that aligns with technology management your workplace can understand, help manage, and appreciate. This book is a comprehensive guide to technology management, integrating AI, machine learning, cybersecurity, disaster recovery, and organizational psychology, and provides globally compliant frameworks, risk mitigation strategies, and practical tools for personnel at all levels to ensure effective workplace technology adoption. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.