Scaling Generative AI
Amit Prabhu
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Sozialwissenschaften, Recht, Wirtschaft / Einzelne Wirtschaftszweige, Branchen
Beschreibung
This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of generative AI.
Different enterprises have reacted differently to the generative AI hype. The real value of generative AI lies in the scaled adoption. Only 10 percent of the enterprises have been able to scale. A staggering 90 percent of them are lagging. This has caused a “huge gap” between the scaling and lagging firms. Closing this huge gap is a daunting task.
To bridge this gap, enterprises must be operationally ready in the following four areas:
- Customer
- Technology
- Data
- People
This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of generative AI.
Although the framework is primarily for the executives, leaders, managers, consultants, strategists, and transformation drivers at the lagging firms, the scaling firms can use it to assess their current operational readiness levels and mitigate the prevailing gaps. It can also provide useful insights to the entrepreneurs in the generative AI value chain to develop unique solutions. Additionally, it can help technology and management students to align themselves better to embrace new challenges of the corporate world they will soon enter.
The success of this book lies in how effectively the readers apply the framework at their workplace. This book is not just about information…it’s all about transformation!
Kundenbewertungen
scale, data, customer, people, technology, framework, readiness, adoption, generative AI