100+ must-read AI and Generative AI Reports - Key Insights
A live and updated list of 100+ must-read reports from renowned companies, offering comprehensive analyses and the latest trends in AI and Generative AI.
Explore insights and opportunities around AI and Generative AI
Delve into AI and generative AI reports to gain a deeper understanding of emerging trends, innovative applications, and valuable perspectives. These reports offer a comprehensive look into the current state of AI technology, providing in-depth analyses, case studies, and expert opinions. By exploring these resources, you not only stay informed about the latest developments but also gain actionable knowledge that can guide strategic decision-making.
How to use the list?
We categorise the 100+ must-read AI and Generative AI reports – Key Insights to make it easier for you to find the most relevant ones. Here are some tips to get started!
You can filter the list based on the publishing organisation, publication year, report industry score and topic type of reports. This helps you explore and understand the significance of AI and generative AI in today’s rapidly changing industry landscape.
Note: A reference to the source is attached to all reports. An explanation of the methodology can be found at the bottom of the page.
100+ Must-read AI and Generative AI Reports from reputable companies
Click on the + icon to view the description and more information about the project. The list is updated.
| Name of Report | Publishing Organisation | Publication Year | Type of Topic | Subject Terms | Summary and Key Insights | Report Industry Score | Overview of the Report | Publication Date | Authors |
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Read Key insights from the reports
Understanding the Industry Report Score
The Industry report score based on their relevance, applicability, and potential impact for professionals within a specific sector. This scoring system is designed to help industry leaders and professionals quickly identify and prioritise reports that provide actionable insights for informed decision-making. The Report Industry Score is further categorised into high, medium, and low scores to provide a quick and effective means of evaluation.
Note: This scoring is initially an internal tool for CFTE’s course and presentation creation, it is now public for others’ potential use. However, it is first and foremost an internal tool and users should be mindful of its inherent limitations.
High Score
- Exceptionally actionable insights
- Well-presented information that is easily understandable
- Comprehensive and in-depth analyses for decision making
Medium Score
- Actionable insights, less universally applicable
- Professionals may need discretion in applying insights to their contexts
Low Score
- May lack clarity or lack practical takeaways
- Less beneficial for making informed decisions or shaping strategies
Other Fields
Name of Report: This field indicates the name for the specific report being referenced.
Publishing Organisation: The entity or institution responsible for producing and releasing the report.
Type of Topic: The filed describes the primary focus or themes of the report. The topics are categorised into: Industry trends, Opportunities and challenges, Applications and use cases, Risk and compliance, Workforce impact.
Publication Year: The field indicates the year in which the report was officially published.
Summary and Key Insights: Overview of the report’s main findings and significant insights.
Subject Terms: This field focuses on the essential terms related to the report’s content.
Overview of the Report: Provides a summary description of the report.
Authors: Lists the individuals or group responsible for authoring the report, providing attribution to those who contributed to its creation.
What is AI?
Artificial Intelligence can be defined as the science of training machines to perform human tasks. AI is the method of developing computer systems to emulate human intelligence and is also the engineering behind giving machines human-like properties.
What is Generative AI?
Generative AI, emerged from Machine Learning in the early 21st century, encompasses a category of algorithms to generate new data. It can produce various types of content, including text, imagery, audio, etc. The last evolution in Generative AI has been leveraging advances in Deep Learning and Natural Language Processing (NLP).
Is this a comprehensive list?
While our AI and Generative AI Reports Digital Library provides valuable insights, it’s important to note that it’s not an exhaustive list by any means. We actively update our library to stay current, and we welcome your input to enhance its accuracy. If there are companies or reports we’ve missed or if you come across any inaccuracies, please do not hesitate to bring them to our attention. Thanks a lot for your help!
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