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.
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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
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| 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 |
|---|---|---|---|---|---|---|---|---|---|
| KPMG | 2023 | Industry trends, Opportunities and Challenges | Consumer and retail, Digital transformation, ESG, Digital trust and security, Cloud technology | Link | High | The report demonstrates how laser-focused digital acceleration and investments are enabling US businesses to capitalize on technology’s promise, even as they navigate economic, geopolitical, regulatory, and customer volatility. | October 2023 | Barry Brunsman, Bobby Soni | |
| KPMG | 2023 | Industry trends, Applications and use cases | Blockchain, ChatGPT, Intellectual property (IP), Smart contracts, NFT, Data security | Link | Medium | Blockchain’s ability to decentralize identity and verification could prove invaluable as artificial intelligence carves out a bigger role in content generation. | May 2023 | Eric Ledyard | |
| Deloitte | 2022 | Industry trends, Opportunities and Challenges, Applications and use cases | Digital Transformation, Culture | Link | High | The report surveyed 2,620 executives from 13 countries across the globe, outlining detailed recommendations for leaders to cultivate an AI-ready enterprise and improve outcomes for their AI efforts. | October 2022 | Nitin Mittal, Irfan Saif, Beena Ammanath | |
| KPMG | 2023 | Industry trends, Opportunities and Challenges, Applications and use cases | Consumer and retail, Data infrastructure, AI Strategy | Link | Medium | The report discusses how Generative AI can optimise pricing, improve ad content, generate engaging product descriptions, and enhance customer service interactions. | June 2023 | KPMG | |
| McKinsey & Company | 2023 | Industry trends, Opportunities and Challenges, Applications and use cases | Banking, Pharmaceuticals, Economic growth, Retail and Consumer | Link | High | The research focuses on on how companies should prepare to capture the benefits and mitigate the risks of generative AI. | June 2023 | Michael Chui, Eric Hazan, Roger Roberts, Alex Singla, Kate Smaje, Alex Sukharevsky, Lareina Yee, and Rodney Zemmel | |
| Deloitte | 2023 | Applications and use cases, Workforce impact | Consumer, Energy, Financial services, Public service, Health care, Technology | Link | Medium | 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 | 03/10/2023 | Deloitte AI Institute | |
| KPMG | 2023 | Opportunities and Challenges, Applications and use cases | Risk, Intellectual property (IP), Fraud, Cybersecurity | Link | Low | The report looks at the risk management challenges raised by generative AI and underscore the importance for organizations to identify these risks early, form governance constructs to help adopt generative AI responsibly, and understand how risks may impact building trust in the use of generative AI. | February 2023 | KPMG | |
| KPMG | 2023 | Opportunities and Challenges, Workforce impact, Risk and compliance | Risk management, AI governance | Link | Medium | The report focuses on the need for proactive risk management in the rapidly evolving field of Generative AI. | 2023 | Deloitte AI Institute | |
| MIT Sloan management review | 2022 | Opportunities and Challenges, Workforce impact, Risk and compliance, Applications and use cases | Personal value, Relationship | Link | High | The research looks at how individuals use AI at work and how they derive personal value from their use of AI. | November 2022 | Sam Ransbotham, David Kiron, François Candelon, Shervin Khodabandeh, and Michael Chu | |
| Deloitte | 2023 | Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance | Consumer applications, Enterprise solutions, Market impact, Business model | Link | Medium | The report delves into enterprise and consumer use cases, shift focus to how players across the market can build sustainable business models, and wrap up with some considerations and bold predictions for the future of Generative AI. | 2023 | Deloitte AI Institute | |
| PAC | 2023 | Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance | Banking, Ethics, Digital transformation, Professional services | Link | Medium | This report looks at the technological journey the banking industry has been experiencing for the past decade and how best to understand the role and value of GenAI in its current form. | September 2023 | Spencer Izard | |
| BlackRock | 2023 | Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use cases | Large Language Models (LLMs), Digital distribution, Cybersecurity | Link | High | This report identifies digital disruption and artificial intelligence (AI) as one of the five key megaforces shaping a new era of macroeconomic and market volatility. It emphasizes the transformative impact of AI on the way we live and work, and the consequent market reshaping as companies rapidly adopt this technology. | November 2023 | Jay Jacobs, Tony Kim, Andreea Mitrache, Simona Paravani Mellinghoff, Ben Powell, Raffaele Savi | |
| MIT Technology Review Insights | 2023 | Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use cases | Risk Management, Technological Transformation, Strategic Considerations, Regulation | Link | High | This report explores the deployment of generative AI in enterprises. | October 2023 | MIT Technology Review Insights | |
| The Economist | 2022 | Applications and use cases, Risk and compliance, Opportunities and challenges | Risk Management, Regulatory Compliance, Banking, Fraud Detection, Digital Marketing | Link | High | The report examines the growing adoption of AI in the financial services industry. | 2022 | The Economist | |
| S&P Global Ratings | 2023 | Opportunities and challenges, Risk and compliance, Applications and use cases | Banking, Risk Management, Data Analysis, Machine Learning, Digital Transformation | Link | High | This report discusses the adoption of generative AI in banking, emphasising its potential for earnings growth, improvements in decision-making, and enhanced risk management. | October 2023 | Miriam Fernández | |
| IBM | 2023 | Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use cases | Workforce Reskilling, Employee Engagement, Operating Model, Automation | Link | High | This report explores the evolving landscape of the workforce in the era of AI and automation. | August 2023 | Jill Goldstein, Bill Lobig, Cathy Fillare, Christopher Nowak | |
| IBM | 2023 | Opportunities and challenges, Risk and compliance, Applications and use cases | Automation, Business Transformation, Risk Management, Data-Led Innovation | Link | Medium | This report delves into data and preparedness, workforce talent and digital assistants, the IT opportunity, and investment priorities | October 2023 | Karen Butne, Tom Ivory, William (Bill) Lobig | |
| IBM | 2023 | Industry trends, Opportunities and challenges, Applications and use cases | AI-Powered Process Mining, Data Integration, Intelligent Automation, Digital Process Improvement, RPA. | Link | Medium | The report explores how AI-powered process mining can unlock hidden value in businesses by integrating big data into processes and workflows. | May 2023 | Karen Butner, Jacob Dencik, Lisa Higgins, Anthony Marshall, Kirsten Palmer | |
| Morgan Stanley | 2023 | Industry trends, Opportunities and challenges, Applications and use cases | Asset Management, Wealth Management, Investment Strategy | Link | Medium | The report discusses the transformative impact of generative AI (Gen AI) in the asset and wealth management industry, focusing on how it can supercharge efficiency and drive growth. | 2023 | Betsy L. Graseck, Michael J. Cyprys, Bruce Hamilton, Andrei Stadnik, Giulia Aurora Miotto, Connell J. Schmitz. Stephanie Ma, Nancy Huang, Luke Hutchinson, Jose Eibar, Adam Khadra, João Miguel Rodrigues, Kamil Kaczmarski, Joshua Zwick | |
| McKinsey & Company | 2023 | Opportunities and challenges, Workforce impacts, Applications and use cases | Industry Disruption, Risk Management, Investment Trends | Link | High | The latest annual McKinsey Global Survey on the current state of AI confirms the explosive growth of generative AI (gen AI) tools. | August 2023 | Michael Chui, Lareina Yee, Bryce Hall, Alex Singla, Alexander Sukharevsky | |
| BCG | 2023 | Opportunities and challenges, Workforce impacts, Applications and use cases | Financial Institutions, Predictive AI, AI Strategy, AI Governance, AI Regulation | Link | High | The report emphasises the transformative role of artificial intelligence (AI) in various industries, particularly in the financial sector. | November 2023 | Stiene Riemer, Michael Strauß, Ella Rabener, Jeanne Kwong Bickford, Pim Hilbers, Nipun Kalra, Aparna Kapoor, Julian King, Silvio Palumbo, Neil Pardasani, Marc Pauly, Kirsten Rulf, and Michael Widowitz | |
| Evident | 2023 | Industry trends, Opportunities and challenges, Applications and use cases, Workforce impacts | Banking Sector | Link | High | The report explore the latest Evident AI Index rankings, key findings, and the methodology driving the world's first "outside-in" benchmark of AI maturity in banking. | November 2023 | Elizabeth Dunmore, Colin Gilbert, Andrew Haynes, Jamie Howie, Alex Inch, Sam Meeson, and the wider team at Evident | |
| MindForge | 2023 | Opportunities and challenges, Risk and compliance, Applications and use cases | Banking Sector, Risk Management, Regulatory Framework, AI Ethics | Link | Medium | This report explores the impact and potential risks of generative artificial intelligence (AI) technology in the financial services sector, particularly in Singapore. | 2023 | MindForge | |
| Stanford University | 2023 | Industry trends, Opportunities and challenges, Risk and Compliance | Machine Learning, AI Ethics, AI Governance, Diversity, Public Opinion | Link | High | The report introduce a new chapter on AI public opinion, a more thorough technical performance chapter, original analysis about large language and multimodal models, detailed trends in global AI legislation records, a study of the environmental impact of AI systems, and more. | April 2023 | Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Vanessa Parli, Yoav Shoham, Russell Wald, Jack Clark, and Raymond Perrault | |
| Deloitte | 2023 | Industry trends, Opportunities and challenges, Risk and Compliance | AI Ethical, CIFAR, Cybersecurity, AI Patent | Link | Medium | This report provides a snapshot of the state of Canada’s national AI ecosystem for the 2022–23 period (April 1, 2022 – March 31, 2023); it was created to help the broader market understand how an evolving Canadian AI landscape is reshaping our comprehension and adoption of AI technologies and affecting how the country is viewed on the global stage. | 2023 | Deloitte | |
| Hubspot | 2023 | Opportunities and challenges, Industry trends, Applications and use cases | SEO, AI Ethics, Automation, Data Analysis | Link | Medium | The report explores the trends in AI for marketing along with insights from leaders in tech on what these trends mean for business growth. | 2023 | Hubspot | |
| KPMG | 2023 | Opportunities and challenges, Risk and compliance | Cybersecurity, Responsible AI, AI Governance, AI Understanding (AI IQ) | Link | High | The research provides comprehensive, timely, global insights into the public’s trust and acceptance of AI systems, including who is trusted to develop, use and govern AI, the perceived benefits and risks of AI use, community expectations of the development, regulation and governance of AI, and how organisations can support trust in their AI use. | 2023 | Nicole Gillespie, Dr Steve Lockey, Dr Caitlin Curtis and Dr Javad Pool, Dr Ali Akbari | |
| KPMG | 2023 | Opportunities and challenges, Risk and compliance, Applications and use cases | Predictive Analytics, Risk Management, Data Integrity, AI Ecosystem | Link | Medium | This report sheds light on executives executives across multiple sectors of risks associated with AI and predictive analytics models and the challenges they face in addressing them. | March 2023 | Shivam Batra, Radhika Goel, Sandeep Sharma, and Pratham Singh | |
| Weka | 2023 | Opportunities and challenges, Industry trends, Applications and use cases | Data Management, Public Cloud Deployment, Sustainability Initiatives, High-Performance Computing (HPC), Corporate Sustainability Goals (CSGs), AI/ML Adoption Status, Carbon Footprint, Data Architecture | Link | High | The Global Trends in AI Report examines the state of AI adoption in 2023 and delivers key data-driven insights on likely developments. | August 2023 | Nick Patience, David Immerman | |
| Ipsos | 2023 | Opportunities and challenges, Workforce impacts, Applications and use cases | Public Perception, Trust in AI, Demographic Differences, Regional Variations | Link | Medium | The report discusses how people across the world feel about artificial intelligence and expect it will impact their life | July 2023 | Ipsos | |
| BofA Global Research | 2023 | Opportunities and challenges, Workforce impacts, Applications and use cases | ChatGPT, Healthcare, STEM Jobs, Machine Learning, Industrial Revolution | Link | High | The report identifies AI as a driving force in the fifth industrial revolution, emphasising its role in analyzing the exponentially growing global data. Key AI technologies like machine learning, deep learning, and natural language processing are highlighted. | March 2023 | BofA Global Research | |
| EY | 2023 | Opportunities and challenges, Workforce impacts, Risk and compliance | Strategic AI Implementation Risk Management, Workforce Restructuring, M&A | Link | Medium | The report aims to provide valuable insights on the main trends and developments impacting the world’s leading companies as well as business leaders’ expectations for future growth and long-term value creation. | October 2023 | Andrea Guerzoni, Nadine Mirchandani, Barry Perkins, | |
| AI Accelerator Institute | 2023 | Opportunities and challenges, Applications and use cases | Machine Learning, Neural Networks, Content Creation, Deep Learning Technologies | Link | Medium | This report highlights the ‘why’ behind company adoption of generative AI, and the ‘why not’. It delves into the benefits and the challenges of using these tools, offering an overview of the reasoning behind integrating them into business. | 2023 | AI Accelerator Institute | |
| O’Reilly | 2023 | Opportunities and challenges, Workforce impacts, Applications and use cases | Adoption Rate, AI Literacy, Workforce Training | Link | Medium | The Generative AI in the Enterprise report explores how companies use generative AI, the bottlenecks holding back adoption, and the skills gaps that should be addressed to move these technologies forward. | November 2023 | Mike Loukides | |
| AI Infrastructure Alliance | 2023 | Opportunities and challenges, Applications and use cases, Risk and compliance | Large Language Models (LLMs), Off-the-Shelf Models, Industrialised AI | Link | Medium | The report surveyed over 1000 companies with more than 1B USD in revenue to see how fast they’re adopting generative AI and what their challenges are as they embrace these powerful new systems. | August 2023 | AI Infrastructure Alliance | |
| KPMG | 2023 | Opportunities and challenges, Applications and use cases, Risk and compliance | Talent Development, Cybersecurity, Data Privacy, Innovation and Customer Engagement | Link | High | This report shows how top leaders are approaching this transformative technology | May 2023 | Todd Lohr. Elliot Brook, Steve Chase, Sreekar Krishna, Ph.D, Mark Shank, Per Edin, Bryan McGowan, Emily Frolick | |
| KPMG | 2023 | Opportunities and challenges, Workforce impacts, Risk and compliance | Code Translation, Debugging Acceleration, Intellectual Property | Link | Medium | The report predicts that software development is on the verge of a dramatic leap thanks to generative AI. | 2023 | KPMG | |
| MIT Sloan Management Review | 2021 | Opportunities and challenges, Workforce impacts, Applications and use cases | Organisational Culture, AI Adoption | Link | High | The report explores the cultural benefits of artificial intelligence in enterprises, highlighting how AI enhances organizational effectiveness and strengthens team and enterprise cultures. | November 2021 | Sam Ransbotham, François Candelon, David Kiron, Burt LaFountain, and Shervin Khodabandeh | |
| BCG | 2021 | Opportunities and challenges, Workforce impacts, Risk and compliance | AI Ethics, Talent Shortages, Ecosystem, AI Governance | Link | High | The report discusses the transformative power of generative AI and the actions companies need to take to capitalise on the capabilities this technology can build for your business. | December 2021 | BCG | |
| Accenture | 2023 | Opportunities and challenges, Workforce impacts, Applications and use cases | Large Language Models (LLMs), Responsible AI | Link | High | The report discusses the transformative power of generative AI and the actions companies need to take to capitalize on the capabilities this technology can build for your business. | March 2023 | Paul Daugherty, Bhaskar Ghosh, Karthik Narain, Lan Guan, Jim Wilson | |
| MIT Sloan management review | 2017 | Opportunities and challenges, Workforce impacts, Applications and use cases | Data Training, Algorithm Development | Link | Medium | The report highlights the high expectations for AI in business, but also notes the significant gap between ambition and execution in AI implementation across companies. | Fall 2017 | Sam Ransbotham, David Kiron, Philipp Gerbert, and Martin Reeves | |
| World economic forum | 2023 | Opportunities and challenges, Risk and compliance, Applications and use cases | Bias Mitigation, Fairness in AI Systems, Equity | Link | High | The report introduces the concept of data equity in the evolving field of genAI. | October 2023 | World Economic Forum | |
| Goldman Sachs | 2023 | Opportunities and challenges, Risk and compliance, Industry trends | Economic Impact, Productivity Growth, Equity Markets | Link | High | The report explores the disruptive potential of generative AI, particularly following the release of OpenAI’s ChatGPT. It aims to discern whether the current hype around this technology is warranted and assesses its potential long-term impacts on productivity, growth, and investment opportunities. | July 2023 | Goldman Sachs | |
| Policy Horizons Canada | 2023 | Opportunities and challenges, Risk and compliance, Applications and use cases | ChatGPT, Privacy, Intellectual Property, Bias, Regulation, Environmental Impact | Link | High | This first iteration of this foresight brief (May 2023) explores some potential shifts and disruptions that may arise due to generative artificial intelligence (AI) technologies in the next five years. | May 2023 | Policy Horizons Canada, issuing body. | |
| Smart Nation Singapore | 2023 | Opportunities and challenges, Workforce impacts, Applications and use cases | National AI Strategy (NAIS) 2.0,Public Good, People & Communities, Infrastructure & Environment, Workforce Development | Link | High | The report sets out our plans for Singapore to build a thriving AI ecosystem; develop our workforce to take on new opportunities; provide enough infrastructural capacity to achieve our ambitions; and foster a trusted environment that protects users and facilitates innovation. | 2023 | Smart Nation Singapore | |
| Microsoft | 2023 | Opportunities and challenges, Workforce impacts, Applications and use cases | Large Language Models (LLMs), Microsoft Copilot, Enterprise Information Workers | Link | High | This report presents the initial findings of Microsoft’s research initiative on “AI and Productivity”, which seeks to measure and accelerate the productivity gains created by LLM-powered productivity tools like Microsoft’s Copilot. | 2023 | Alexia Cambon, Brent Hecht, Ben Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita, Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, and Jaime Teevan | |
| International Monetary Fund | 2023 | Opportunities and challenges, Workforce impacts, Risk and compliance | Generative AI, ChatGPT, Ethical Concerns, Social Implications, Misinformation, Economic Destabilisation. | Link | High | The report is from the December 2023 edition of Finance & Development, a quarterly publication of the International Monetary Fund. | December 2023 | Gita Bhatt, editor-in-chief | |
| 2023 | Industry trends, Applications and use cases, Workforce impact | Job disruption, Skill evolution, industry transformation, AI literacy, workforce sentiment | Link | High | The Future of Work Report: AI at Work, November 2023 uncovers the latest real-time trends we see around how AI is ushering a new world of work, grounded in LinkedIn’s unique labor market insights, based on one billion professionals and 67 million companies. | November 2023 | |||
| ISG | 2023 | Opportunities and challenges, Applications and use cases, Industry trends | Enterprise adoption, Copyright, Data challenges, Ethics, Legal concerns. | Link | High | The report focuses on the enterprise adoption of generative AI, examining top trends, use cases, solutions, industries, and challenges related to this technology. | September 2023 | Olga Kupriyanova, Ryan Hamze | |
| Air Street Capital | 2023 | Industry trends, Applications and use cases, Risk and compliance | Technology breakthroughs, Commercial application, Regulation, geopolitics, | Link | Medium | The State of AI Report analyses the most interesting developments in AI. We aim to trigger an informed conversation about the state of AI and its implication for the future. T | October 2023 | Nathan Benaich, Platform Lead, Venture Fellow, Venture Fellow | |
| Teneo | 2023 | Industry trends, Opportunities and challenges, Workforce impact | Sustainability Reporting, Environmental, Social, and Governance (ESG), AI Analysis, Stakeholder Engagement | Link | Low | This report highlights three important considerations for companies as to how AI may impact their sustainability reports in the future and what they can do to help prepare. | December 2023 | Sparky Zivin, Jeffrey Sindone, Matt Filosa, Seán Earley & Diana Lee | |
| McKinsey & Company | 2022 | Opportunities and challenges, Workforce impacts, Industry trends | Financial Returns, Natural-Language Processing, Computer Vision | Link | High | The report shows the expansion of the technology’s use since we began tracking it five years ago, but with a nuanced picture underneath. | December 2022 | Michael Chui, Bryce Hall, Helen Mayhew, Alex Singla, Alex Sukharevsky | |
| McKinsey & Company | 2023 | Industry trends, Opportunities and challenges, Workforce impact, and Applications and use cases | The Energy Transition, Growth, Superpower, Middle Managers, Geopolitics, Macroeconomy. | Link | High | The key themes include leveraging generative AI, navigating growth, understanding geopolitics, adapting to macroeconomic changes, managing the energy transition, valuing middle management, exploring new business capabilities, and addressing risks and compliance related to generative AI. | December 2023 | Homayoun Hatami, Liz Hilton Segel | |
| IDB | 2023 | Applications and use cases, Workforce impact, Risk and compliance | Deep Learning, Neural Networks, Ethical Considerations, Privacy, Security | Link | Medium | Generative AI is an emerging sub-domain of AI that is revolutionizing the use of technology as we know it. Its ability to generate new and unique content has great potential as a knowledge assistant, although it is still in the exploration phase. Instead of simply classifying, analyzing, or processing existing data, Generative AI attempts to generate new data that resembles the original and is indistinguishable from that created by humans. | September 2023 | Cevallos, Adrian; Latorre, Lucia; Alicandro, Gianfranco; Wanner, Z’leste; Cerrato, Ignacio; Zarate, Jose Daniel; Alvarez, Juana; Villacreses, Karla; Pfeifer, Maria; Gutierrez, Mariana; Villanueva, Veronica; Rivera-Fournier, Alberto; Riobó, Alexander; Pombo, Cristina; Puerto, Fernando; Rodriguez Breuning, Jorge | |
| Capgemini Research Institute | 2023 | Industry trends, Opportunities and challenges, Applications and use cases | Boardroom Discussion, Industry Disruption, Growth Acceleration, Risk Management | Link | High | In the newest Capgemini Research Institute report, Harnessing the value of generative AI: Top use cases across industries, they delve into the transformative potential of the technology specifically from the perspective of organizations. This report is the second part of our series on generative AI and follows their previous report that looked at generative AI through the consumer lens. | 2023 | Capgemini Research Institute | |
| Deloitte | 2023 | Applications and use cases, Opportunities and challenges, Risk and compliance | Enterprise Strategy, Business Functions, Ethical Considerations, Technology Integration | Link | High | In this report, Deloitte looks closely at the potential benefits and limitations of Generative AI, introduces a method to qualify if, where and how these cognitive tools could be used, and offer important factors for business leaders to weigh when adopting Generative AI. | 2023 | Deloitte AI Institute | |
| JP Morgan Asset Management | 2023 | Industry trends, Opportunities and challenges, Applications and use cases, Workforce Impacts | Job Creation, Regulatory Challenges, Automation, Labor Productivity, Economic Transformation | Link | High | This paper addresses the significant potential implications of AI, especially generative AI, for the economy, workers and financial markets. | September 2023 | Michael Albrecht, Stephanie Aliaga | |
| Oliver Wyman and UK Finance | 2023 | Opportunities and challenges, Workforce impacts, Risk and compliance | Generative AI, Predictive AI, Financial Services, Risk Management, Regulatory Landscape | Link | High | The report examines the current and future state of AI in the UK financial services sector | 2023 | Oliver Wyman and UK Finance |
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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