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Titre : | Augmented work for an automated, AI-driven world : Boost performance with human-machine partnerships |
Auteurs : | Jill Goldstein ; Bill Lobig ; Cathy Fillare ; Christopher Nowak |
Type de document : | document électronique |
Editeur : | Armonk, New York [United States] : IBM Institute for Business Value, 2023 |
Format : | 28 p |
Langues: | Anglais |
Catégories : |
Thésaurus CEREQ TRAVAIL ; INTELLIGENCE ARTIFICIELLE ; MUTATION TECHNOLOGIQUE ; EVOLUTION DES QUALIFICATIONS ; GESTION PREVISIONNELLE ; BESOIN EN MAIN D'OEUVRE ; PRATIQUE DE GRH ; ETUDE PROSPECTIVE |
Résumé : |
The IBM IBV and Oxford Economics surveyed 3,000 global C-suite executives across 20 industries and 28 countries from all major regions in December 2022 and January 2023. We asked how their companies are investing in enterprise transformation, what business value is being generated, and which elements are required to boost productivity, effec- tiveness, and bottom-line growth. Then we assessed which key talent and technology capabilities are connected to the most successful enterprise trans- formation programs.
The IBM IBV and SurveyMonkey surveyed and assessed over 21,000 workers across 22 countries in December 2022 and January 2023 to understand their expectations and motivations for work arrange- ments, career mobility, and the overall employee experience. The IBM IBV and Oxford Economics surveyed 300 C-suite executives across 22 industries in May 2023 to pulse the state of the market, specifically the impact of generative AI on labor today and into 2025. |
Document Céreq : | Non |
En ligne : | https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/augmented-workforce |
Documents numériques (1)
IBV_-_Augmented_work_for_an_automated,_AI-driven_world.pdf Adobe Acrobat PDF |