The State of Generative AI in the Enterprise

Deloitte’s Insightful Survey on Current Trends and Future Implications

In an era where generative AI is rapidly redefining the landscape of technology and business, Deloitte’s latest survey, “The State of Generative AI in the Enterprise: Now Decides Next,” offers a timely and comprehensive analysis. Released in January 2024, this survey series marks a pivotal moment, delving into the evolving trends, sentiments, and adoption challenges of generative AI in the corporate world. It encompasses the perspectives of 2,835 business and technology leaders who are at the forefront of integrating generative AI into their operations.

This inaugural report not only reflects the growing enthusiasm for the transformative potential of generative AI but also sheds light on the uncertainties and complexities surrounding its broader societal and workforce implications.

The defining time for generative AI is now. How we train, apply, govern and work with generative AI will determine its impact. 

…leaders indicated persistent excitement for using generative AI and many expect substantial transformative impacts in the short term. Yet, they also acknowledged uncertainty about generative AI’s potential implications on workforces and society…calling for greater investment in talent, governance and global collaboration.

Download Deloitte’s the full report

Written by Alan Brown

Prof. Alan Brown has been delivering impact as an entrepreneur and in business for over 30 years, working in start-ups and large enterprises to enable software delivery to power business transformation. He is also a university professor, researcher, coach, and trusted adviser to C-level executives in the public and private sector. He has written several books on enterprise software delivery and digital transformation, and holds a Professorship in Digital Economy at the University of Exeter, UK and is a Fellow of the Alan Turing Institute, the UK National institute for data science and AI.

In his capacity as the Deputy Director of the Defence Data Research Centre (DDRC) and serving as the Principal Investigator (PI) for the Data Management division within the DDRC's research program, Alan is actively engaged in a multifaceted research agenda. His responsibilities include investigating contemporary best practices in data management for artificial intelligence and decision-making, conducting a comprehensive review of existing data management practices within select areas of the Ministry of Defence (MoD), and undertaking a needs analysis aimed at informing the requirements of data architects and managers in the context of AI and decision-making processes.

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