9781962729208 - change optimized: leading the human side of ai transformation di odom, curtis l. (8 risultati)

- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 25,85
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.

- Rilegato
Da: CreativeCenters, Peoria, IL, U.S.A.CreativeCenters
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 23,93
EUR 4,76 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
hardcover. Condizione: New.

- Rilegato
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 28,95
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

- Rilegato
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 26,73
EUR 4,86 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 35,42
EUR 62,20 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. Neuware - Most AI transformations fail. Not because the algorithms are inadequate, but because the organizations deploying them are.Looking at over 200 implementations from 2019 to 2024, it's clear that 73% of AI transformation failures are due to human factors like leadership, talent systems, and culture,… not the technology itself. This pattern warrants further investigation. Interestingly, organizations tend to spend about $10 on AI technology for every $1 they invest in preparing their people, which significantly influences whether the tech succeeds. The numbers tell the story: when the ratio is above 8:1, success drops below 30%, but at 4:1 or better, success soars above 70%.At the heart of the book is the Human-Centered Future of Work Framework, which highlights three interconnected organizational capabilities: Adaptive Leadership, Talent Elasticity, and Psychological Safety. These are the essential human elements that enable AI to deliver the results organizations are investing in. Each of these pillars is supported by a chapter of evidence and a chapter of practical guidance, along with helpful tools like diagnostic assessments, governance structures, and a step-by-step implementation plan.The book showcases three inspiring case studies that highlight how the framework truly comes to life: Mountain View Regional Health, a robust 2,400-bed system that managed to delay its deployment by six months yet still surpassed all the performance targets set by its board; First National Bank, which successfully rebuilt its trading-floor leadership amid active regulatory oversight; and Precision Manufacturing Group, which retained its most experienced technicians by involving them directly in the AI deployment process rather than sidelining them.In Change Optimized, Curtis L. Odom, Ed.D., draws on twenty-five years of Fortune 100 transformation work combined with ten years of qualitative research as a faculty member at Northeastern University to specify what the missing investment is, what it costs, and how to build it. Change Optimized is his eighth book. His writing on AI, leadership, and organizational transformation appears regularly in Harvard Business Review and Forbes.Change Optimized is for CHROs, CIOs, transformation leaders, and boards who have figured out that the algorithm is the easy part and that their next AI investment isn't another algorithm.

- Rilegato
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 25,84
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Most AI transformations fail. Not because the algorithms are inadequate, but because the organizations deploying them are.Looking at over 200 implementations from 2019 to 2024, it's clear that 73% of AI transformation failures are due to human factors like leadership, talent systems, and cu…lture, not the technology itself. This pattern warrants further investigation. Interestingly, organizations tend to spend about $10 on AI technology for every $1 they invest in preparing their people, which significantly influences whether the tech succeeds. The numbers tell the story: when the ratio is above 8:1, success drops below 30%, but at 4:1 or better, success soars above 70%.At the heart of the book is the Human-Centered Future of Work Framework, which highlights three interconnected organizational capabilities: Adaptive Leadership, Talent Elasticity, and Psychological Safety. These are the essential human elements that enable AI to deliver the results organizations are investing in. Each of these pillars is supported by a chapter of evidence and a chapter of practical guidance, along with helpful tools like diagnostic assessments, governance structures, and a step-by-step implementation plan.The book showcases three inspiring case studies that highlight how the framework truly comes to life: Mountain View Regional Health, a robust 2,400-bed system that managed to delay its deployment by six months yet still surpassed all the performance targets set by its board; First National Bank, which successfully rebuilt its trading-floor leadership amid active regulatory oversight; and Precision Manufacturing Group, which retained its most experienced technicians by involving them directly in the AI deployment process rather than sidelining them.In Change Optimized, Curtis L. Odom, Ed.D., draws on twenty-five years of Fortune 100 transformation work combined with ten years of qualitative research as a faculty member at Northeastern University to specify what the missing investment is, what it costs, and how to build it. Change Optimized is his eighth book. His writing on AI, leadership, and organizational transformation appears regularly in Harvard Business Review and Forbes.Change Optimized is for CHROs, CIOs, transformation leaders, and boards who have figured out that the algorithm is the easy part and that their next AI investment isn't another algorithm. AI doesn't fail at the algorithm. It fails at the ratio: $10 on the technology, $1 on the humans who determine whether it works. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Rilegato
- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 35,09
EUR 32,02 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Most AI transformations fail. Not because the algorithms are inadequate, but because the organizations deploying them are.Looking at over 200 implementations from 2019 to 2024, it's clear that 73% of AI transformation failures are due to human factors like leadership, talent systems, and cu…lture, not the technology itself. This pattern warrants further investigation. Interestingly, organizations tend to spend about $10 on AI technology for every $1 they invest in preparing their people, which significantly influences whether the tech succeeds. The numbers tell the story: when the ratio is above 8:1, success drops below 30%, but at 4:1 or better, success soars above 70%.At the heart of the book is the Human-Centered Future of Work Framework, which highlights three interconnected organizational capabilities: Adaptive Leadership, Talent Elasticity, and Psychological Safety. These are the essential human elements that enable AI to deliver the results organizations are investing in. Each of these pillars is supported by a chapter of evidence and a chapter of practical guidance, along with helpful tools like diagnostic assessments, governance structures, and a step-by-step implementation plan.The book showcases three inspiring case studies that highlight how the framework truly comes to life: Mountain View Regional Health, a robust 2,400-bed system that managed to delay its deployment by six months yet still surpassed all the performance targets set by its board; First National Bank, which successfully rebuilt its trading-floor leadership amid active regulatory oversight; and Precision Manufacturing Group, which retained its most experienced technicians by involving them directly in the AI deployment process rather than sidelining them.In Change Optimized, Curtis L. Odom, Ed.D., draws on twenty-five years of Fortune 100 transformation work combined with ten years of qualitative research as a faculty member at Northeastern University to specify what the missing investment is, what it costs, and how to build it. Change Optimized is his eighth book. His writing on AI, leadership, and organizational transformation appears regularly in Harvard Business Review and Forbes.Change Optimized is for CHROs, CIOs, transformation leaders, and boards who have figured out that the algorithm is the easy part and that their next AI investment isn't another algorithm. AI doesn't fail at the algorithm. It fails at the ratio: $10 on the technology, $1 on the humans who determine whether it works. 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.

- Rilegato
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 31,84
EUR 43,19 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Most AI transformations fail. Not because the algorithms are inadequate, but because the organizations deploying them are.Looking at over 200 implementations from 2019 to 2024, it's clear that 73% of AI transformation failures are due to human factors like leadership, talent systems, and cu…lture, not the technology itself. This pattern warrants further investigation. Interestingly, organizations tend to spend about $10 on AI technology for every $1 they invest in preparing their people, which significantly influences whether the tech succeeds. The numbers tell the story: when the ratio is above 8:1, success drops below 30%, but at 4:1 or better, success soars above 70%.At the heart of the book is the Human-Centered Future of Work Framework, which highlights three interconnected organizational capabilities: Adaptive Leadership, Talent Elasticity, and Psychological Safety. These are the essential human elements that enable AI to deliver the results organizations are investing in. Each of these pillars is supported by a chapter of evidence and a chapter of practical guidance, along with helpful tools like diagnostic assessments, governance structures, and a step-by-step implementation plan.The book showcases three inspiring case studies that highlight how the framework truly comes to life: Mountain View Regional Health, a robust 2,400-bed system that managed to delay its deployment by six months yet still surpassed all the performance targets set by its board; First National Bank, which successfully rebuilt its trading-floor leadership amid active regulatory oversight; and Precision Manufacturing Group, which retained its most experienced technicians by involving them directly in the AI deployment process rather than sidelining them.In Change Optimized, Curtis L. Odom, Ed.D., draws on twenty-five years of Fortune 100 transformation work combined with ten years of qualitative research as a faculty member at Northeastern University to specify what the missing investment is, what it costs, and how to build it. Change Optimized is his eighth book. His writing on AI, leadership, and organizational transformation appears regularly in Harvard Business Review and Forbes.Change Optimized is for CHROs, CIOs, transformation leaders, and boards who have figured out that the algorithm is the easy part and that their next AI investment isn't another algorithm. AI doesn't fail at the algorithm. It fails at the ratio: $10 on the technology, $1 on the humans who determine whether it works. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.