التفاصيل البيبلوغرافية
| العنوان: |
CHARTING A PATH TO THE DATA - AND AI-DRIVEN ENTERPRISE OF 2030. |
| المؤلفون: |
Tavakoli, Asin, Harreis, Holger, Rowshankish, Kayvaun, Bogobowicz, Michael |
| المصدر: |
McKinsey Quarterly. 2024 Q4, Issue 4, p104-118. 15p. 9 Color Photographs, 1 Diagram. |
| مصطلحات موضوعية: |
*PERSONAL communication service systems, *CHIEF data officers, *TECHNICAL specifications, *APPRENTICESHIP programs, LANGUAGE models, DATA privacy |
| مستخلص: |
The article discusses the shift towards data-driven organizations by 2030, emphasizing the importance of data access and quality for leveraging generative AI technologies. Companies are urged to focus on data ubiquity, integrating data into all aspects of operations, and developing capability pathways to scale data-driven initiatives. Data leaders are advised to prioritize skills development, governance, and risk management to unlock the potential of advanced technologies like gen AI while addressing emerging challenges in data management and cybersecurity. [Extracted from the article] |
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Copyright of McKinsey Quarterly is the property of McKinsey & Company, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
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