Key Insights
Key takeaways from "The Generative AI Dossier" report published by Deloitte
CFTE summarised “The Generative AI Dossier” report by Deloitte. A curated collection of Generative AI use cases designed to help spark ideas, reveal value-driving deployments, and set organizations on a road to making the most valuable use of this powerful new technology
Key Aspects
- The Generative AI Dossier” highlights six industries, including consumer; energy, resources and industrial; financial services; government and public services; life sciences and health care; and technology, media and telecommunications.
- Through its collection of business-ready use cases and applications, the report details the various advantages of Generative AI in driving efficiency, creativity, speed, scale and capacity and highlights modalities and considerations for risk and trust
Table of Contents
- Introduction to Generative A
- Six Key Modalities of Generative A
- Broad Categories of Value Capture from Generative AI
- 60 Use Cases Across Industries
Key Findings and Insights
This report will give you an insight into:
- Financial services (FSI)
The potential value of Generative AI in FSI is not merely a downstream application, but rather it can serve as a powerful and complementary tool working with other machine learning models and applications. Integrating Generative AI into an FSI organization’s wider technology stack can enhance customer lifestyle management, accelerate model development, tune new data pipelines, and deliver enterprise-wide digital transformation to reduce time, cost and risk. - Technology media and telecommunications (TMT)
The data-rich TMT industry sees its greatest potential Generative AI value in accelerating efficiencies through digitization and shifting organizations from product-focused to customer-centered. TMT companies face a transformative opportunity to streamline processes, free up human capital for creative, value-driven tasks and ultimately help companies grow and innovate. - Energy, resources and industrial (ER&I)
Faced with substantial challenges related to energy security, affordability and profitability, ER&I companies can use Generative AI to glean valuable insights, adopt to industry nuances and evolve to take a leading market position. Looking to the future, Generative AI will play a central role in developing real-time, bespoke training materials to support the workforce through transition and adoption of sustainable practices. - Consumer
For businesses in the consumer sector, Generative AI holds vast potential for improving and enhancing interactions, creating compelling content on demand, and analyzing large-scale enterprise data at faster speeds. From helping customers find the answers and products they need to enabling a level of market analysis with granularity and speed that was previously unachievable, Generative AI will sit at the core of consumer business. - Government and public services (GPS)
GPS organizations are increasingly exploring how Generative AI can be used to help automate administrative tasks, analyze policy documents, parse case notes and inform customized citizen services. In fulfilling their duty to serve their constituents, public servants can use Generative AI natural language processing to revolutionize the way governments interact with citizens while promoting the responsible use of this technology. - Life sciences and health care (LSHC)
Generative AI can help transform the LSHC sector in three archetypical ways: enhancing operational performance through improved employee productivity; providing hyper-personalized experiences to patients, customers and employees; and developing enterprise digital and data solutions. Together, these capabilities have the power to improve efficiency, experience and agility and enhance quality of care and health outcomes.
Key infographics
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