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 ReportPublishing OrganisationPublication YearType of TopicSubject TermsSummary and Key InsightsReport Industry ScoreOverview of the ReportPublication DateAuthors
KPMG2023Industry trends, Opportunities and ChallengesConsumer and retail, Digital transformation, ESG, Digital trust and security, Cloud technologyLinkHighThe 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 2023Barry Brunsman, Bobby Soni
KPMG2023Industry trends, Applications and use casesBlockchain, ChatGPT, Intellectual property (IP), Smart contracts, NFT, Data securityLinkMediumBlockchain’s ability to decentralize identity and verification could prove invaluable as artificial intelligence carves out a bigger role in content generation.May 2023Eric Ledyard
Deloitte2022Industry trends, Opportunities and Challenges, Applications and use casesDigital Transformation, CultureLinkHighThe 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 2022Nitin Mittal, Irfan Saif, Beena Ammanath
KPMG2023Industry trends, Opportunities and Challenges, Applications and use casesConsumer and retail, Data infrastructure, AI StrategyLinkMediumThe report discusses how Generative AI can optimise pricing, improve ad content, generate engaging product descriptions, and enhance customer service interactions.June 2023KPMG
McKinsey & Company2023Industry trends, Opportunities and Challenges, Applications and use casesBanking, Pharmaceuticals, Economic growth, Retail and ConsumerLinkHighThe research focuses on on how companies should prepare to capture the benefits and mitigate the risks of generative AI.June 2023Michael Chui, Eric Hazan, Roger Roberts, Alex Singla, Kate Smaje, Alex Sukharevsky, Lareina Yee, and Rodney Zemmel
Deloitte2023Applications and use cases, Workforce impactConsumer, Energy, Financial services, Public service, Health care, TechnologyLinkMediumA 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 technology03/10/2023Deloitte AI Institute
KPMG2023Opportunities and Challenges, Applications and use casesRisk, Intellectual property (IP), Fraud, CybersecurityLinkLowThe 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 2023KPMG
KPMG2023Opportunities and Challenges, Workforce impact, Risk and complianceRisk management, AI governanceLinkMediumThe report focuses on the need for proactive risk management in the rapidly evolving field of Generative AI.2023Deloitte AI Institute
MIT Sloan management review2022Opportunities and Challenges, Workforce impact, Risk and compliance, Applications and use casesPersonal value, RelationshipLinkHighThe research looks at how individuals use AI at work and how they derive personal value from their use of AI.November 2022Sam Ransbotham, David Kiron, François Candelon, Shervin Khodabandeh, and Michael Chu
Deloitte2023Industry trends, Opportunities and challenges, Workforce impact, Risk and complianceConsumer applications, Enterprise solutions, Market impact, Business modelLinkMediumThe 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.2023Deloitte AI Institute
PAC2023Industry trends, Opportunities and challenges, Workforce impact, Risk and complianceBanking, Ethics, Digital transformation, Professional servicesLinkMediumThis 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 2023Spencer Izard
BlackRock2023Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use casesLarge Language Models (LLMs), Digital distribution, CybersecurityLinkHighThis 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 2023Jay Jacobs, Tony Kim, Andreea Mitrache, Simona Paravani Mellinghoff, Ben Powell, Raffaele Savi
MIT Technology Review Insights2023Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use casesRisk Management, Technological Transformation, Strategic Considerations, RegulationLinkHighThis report explores the deployment of generative AI in enterprises.October 2023MIT Technology Review Insights
The Economist2022Applications and use cases, Risk and compliance, Opportunities and challengesRisk Management, Regulatory Compliance, Banking, Fraud Detection, Digital MarketingLinkHighThe report examines the growing adoption of AI in the financial services industry.2022The Economist
S&P Global Ratings2023Opportunities and challenges, Risk and compliance, Applications and use casesBanking, Risk Management, Data Analysis, Machine Learning, Digital TransformationLinkHighThis report discusses the adoption of generative AI in banking, emphasising its potential for earnings growth, improvements in decision-making, and enhanced risk management.October 2023Miriam Fernández
IBM2023Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use casesWorkforce Reskilling, Employee Engagement, Operating Model, AutomationLinkHighThis report explores the evolving landscape of the workforce in the era of AI and automation.August 2023Jill Goldstein, Bill Lobig, Cathy Fillare, Christopher Nowak
IBM2023Opportunities and challenges, Risk and compliance, Applications and use casesAutomation, Business Transformation, Risk Management, Data-Led InnovationLinkMediumThis report delves into data and preparedness, workforce talent and digital assistants, the IT opportunity, and investment prioritiesOctober 2023Karen Butne, Tom Ivory, William (Bill) Lobig
IBM2023Industry trends, Opportunities and challenges, Applications and use casesAI-Powered Process Mining, Data Integration, Intelligent Automation, Digital Process Improvement, RPA.LinkMediumThe report explores how AI-powered process mining can unlock hidden value in businesses by integrating big data into processes and workflows.May 2023Karen Butner, Jacob Dencik, Lisa Higgins, Anthony Marshall, Kirsten Palmer
Morgan Stanley2023Industry trends, Opportunities and challenges, Applications and use casesAsset Management, Wealth Management, Investment StrategyLinkMediumThe 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.2023Betsy 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 & Company2023Opportunities and challenges, Workforce impacts, Applications and use casesIndustry Disruption, Risk Management, Investment TrendsLinkHighThe latest annual McKinsey Global Survey on the current state of AI confirms the explosive growth of generative AI (gen AI) tools.August 2023Michael Chui, Lareina Yee, Bryce Hall, Alex Singla, Alexander Sukharevsky
BCG2023Opportunities and challenges, Workforce impacts, Applications and use casesFinancial Institutions, Predictive AI, AI Strategy, AI Governance, AI RegulationLinkHighThe report emphasises the transformative role of artificial intelligence (AI) in various industries, particularly in the financial sector.November 2023Stiene 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
Evident2023Industry trends, Opportunities and challenges, Applications and use cases, Workforce impactsBanking SectorLinkHighThe 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 2023Elizabeth Dunmore, Colin Gilbert, Andrew Haynes, Jamie Howie, Alex Inch, Sam Meeson, and the wider team at Evident
MindForge2023Opportunities and challenges, Risk and compliance, Applications and use casesBanking Sector, Risk Management, Regulatory Framework, AI EthicsLinkMediumThis report explores the impact and potential risks of generative artificial intelligence (AI) technology in the financial services sector, particularly in Singapore.2023MindForge
Stanford University2023Industry trends, Opportunities and challenges, Risk and ComplianceMachine Learning, AI Ethics, AI Governance, Diversity, Public OpinionLinkHighThe 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 2023Nestor 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
Deloitte2023Industry trends, Opportunities and challenges, Risk and ComplianceAI Ethical, CIFAR, Cybersecurity, AI PatentLinkMediumThis 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.2023Deloitte
Hubspot2023Opportunities and challenges, Industry trends, Applications and use casesSEO, AI Ethics, Automation, Data AnalysisLinkMediumThe report explores the trends in AI for marketing along with insights from leaders in tech on what these trends mean for business growth.2023Hubspot
KPMG2023Opportunities and challenges, Risk and complianceCybersecurity, Responsible AI, AI Governance, AI Understanding (AI IQ)LinkHighThe 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.2023Nicole Gillespie, Dr Steve Lockey, Dr Caitlin Curtis and Dr Javad Pool, Dr Ali Akbari
KPMG2023Opportunities and challenges, Risk and compliance, Applications and use casesPredictive Analytics, Risk Management, Data Integrity, AI EcosystemLinkMediumThis 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 2023Shivam Batra, Radhika Goel, Sandeep Sharma, and Pratham Singh
Weka2023Opportunities and challenges, Industry trends, Applications and use casesData Management, Public Cloud Deployment, Sustainability Initiatives, High-Performance Computing (HPC), Corporate Sustainability Goals (CSGs), AI/ML Adoption Status, Carbon Footprint, Data ArchitectureLinkHighThe Global Trends in AI Report examines the state of AI adoption in 2023 and delivers key data-driven insights on likely developments.August 2023Nick Patience, David Immerman
Ipsos2023Opportunities and challenges, Workforce impacts, Applications and use casesPublic Perception, Trust in AI, Demographic Differences, Regional VariationsLinkMediumThe report discusses how people across the world feel about artificial intelligence and expect it will impact their lifeJuly 2023Ipsos
BofA Global Research2023Opportunities and challenges, Workforce impacts, Applications and use casesChatGPT, Healthcare, STEM Jobs, Machine Learning, Industrial RevolutionLinkHighThe 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 2023BofA Global Research
EY2023Opportunities and challenges, Workforce impacts, Risk and complianceStrategic AI Implementation Risk Management, Workforce Restructuring, M&ALinkMediumThe 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 2023Andrea Guerzoni, Nadine Mirchandani, Barry Perkins,
AI Accelerator Institute2023Opportunities and challenges, Applications and use casesMachine Learning, Neural Networks, Content Creation, Deep Learning TechnologiesLinkMediumThis 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.2023AI Accelerator Institute
O’Reilly2023Opportunities and challenges, Workforce impacts, Applications and use casesAdoption Rate, AI Literacy, Workforce TrainingLinkMediumThe 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 2023Mike Loukides
AI Infrastructure Alliance2023Opportunities and challenges, Applications and use cases, Risk and complianceLarge Language Models (LLMs), Off-the-Shelf Models, Industrialised AILinkMediumThe 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 2023AI Infrastructure Alliance
KPMG2023Opportunities and challenges, Applications and use cases, Risk and complianceTalent Development, Cybersecurity, Data Privacy, Innovation and Customer EngagementLinkHighThis report shows how top leaders are approaching this transformative technologyMay 2023Todd Lohr. Elliot Brook, Steve Chase, Sreekar Krishna, Ph.D, Mark Shank, Per Edin, Bryan McGowan, Emily Frolick
KPMG2023Opportunities and challenges, Workforce impacts, Risk and complianceCode Translation, Debugging Acceleration, Intellectual PropertyLinkMediumThe report predicts that software development is on the verge of a dramatic leap thanks to generative AI.2023KPMG
MIT Sloan Management Review2021Opportunities and challenges, Workforce impacts, Applications and use casesOrganisational Culture, AI AdoptionLinkHighThe report explores the cultural benefits of artificial intelligence in enterprises, highlighting how AI enhances organizational effectiveness and strengthens team and enterprise cultures.November 2021Sam Ransbotham, François Candelon, David Kiron, Burt LaFountain, and Shervin Khodabandeh
BCG2021Opportunities and challenges, Workforce impacts, Risk and complianceAI Ethics, Talent Shortages, Ecosystem, AI GovernanceLinkHighThe 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 2021BCG
Accenture2023Opportunities and challenges, Workforce impacts, Applications and use casesLarge Language Models (LLMs), Responsible AILinkHighThe 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 2023Paul Daugherty, Bhaskar Ghosh, Karthik Narain, Lan Guan, Jim Wilson
MIT Sloan management review2017Opportunities and challenges, Workforce impacts, Applications and use casesData Training, Algorithm DevelopmentLinkMediumThe 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 2017Sam Ransbotham, David Kiron, Philipp Gerbert, and Martin Reeves
World economic forum2023Opportunities and challenges, Risk and compliance, Applications and use casesBias Mitigation, Fairness in AI Systems, EquityLinkHighThe report introduces the concept of data equity in the evolving field of genAI.October 2023World Economic Forum
Goldman Sachs2023Opportunities and challenges, Risk and compliance, Industry trendsEconomic Impact, Productivity Growth, Equity MarketsLinkHighThe 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 2023Goldman Sachs
Policy Horizons Canada2023Opportunities and challenges, Risk and compliance, Applications and use casesChatGPT, Privacy, Intellectual Property, Bias, Regulation, Environmental ImpactLinkHighThis 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 2023Policy Horizons Canada, issuing body.
Smart Nation Singapore2023Opportunities and challenges, Workforce impacts, Applications and use casesNational AI Strategy (NAIS) 2.0,Public Good, People & Communities, Infrastructure & Environment, Workforce DevelopmentLinkHighThe 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.2023Smart Nation Singapore
Microsoft2023Opportunities and challenges, Workforce impacts, Applications and use casesLarge Language Models (LLMs), Microsoft Copilot, Enterprise Information WorkersLinkHighThis 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.2023Alexia 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 Fund2023Opportunities and challenges, Workforce impacts, Risk and complianceGenerative AI, ChatGPT, Ethical Concerns, Social Implications, Misinformation, Economic Destabilisation.LinkHighThe report is from the December 2023 edition of Finance & Development, a quarterly publication of the International Monetary Fund.December 2023Gita Bhatt, editor-in-chief
Linkedin2023Industry trends, Applications and use cases, Workforce impactJob disruption, Skill evolution, industry transformation, AI literacy, workforce sentimentLinkHighThe 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 2023Linkedin
ISG2023Opportunities and challenges, Applications and use cases, Industry trendsEnterprise adoption, Copyright, Data challenges, Ethics, Legal concerns.LinkHighThe report focuses on the enterprise adoption of generative AI, examining top trends, use cases, solutions, industries, and challenges related to this technology.September 2023Olga Kupriyanova, Ryan Hamze
Air Street Capital2023Industry trends, Applications and use cases, Risk and complianceTechnology breakthroughs, Commercial application, Regulation, geopolitics,LinkMediumThe 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. TOctober 2023Nathan Benaich, Platform Lead, Venture Fellow, Venture Fellow
Teneo2023Industry trends, Opportunities and challenges, Workforce impactSustainability Reporting, Environmental, Social, and Governance (ESG), AI Analysis, Stakeholder EngagementLinkLowThis 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 & Company2022Opportunities and challenges, Workforce impacts, Industry trendsFinancial Returns, Natural-Language Processing, Computer VisionLinkHighThe report shows the expansion of the technology’s use since we began tracking it five years ago, but with a nuanced picture underneath.December 2022Michael Chui, Bryce Hall, Helen Mayhew, Alex Singla, Alex Sukharevsky
McKinsey & Company2023Industry trends, Opportunities and challenges, Workforce impact, and Applications and use casesThe Energy Transition, Growth, Superpower, Middle Managers, Geopolitics, Macroeconomy.LinkHighThe 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 2023Homayoun Hatami, Liz Hilton Segel
IDB2023Applications and use cases, Workforce impact, Risk and complianceDeep Learning, Neural Networks, Ethical Considerations, Privacy, SecurityLinkMediumGenerative 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 2023Cevallos, 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 Institute2023Industry trends, Opportunities and challenges, Applications and use casesBoardroom Discussion, Industry Disruption, Growth Acceleration, Risk ManagementLinkHighIn 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.2023Capgemini Research Institute
Deloitte2023Applications and use cases, Opportunities and challenges, Risk and complianceEnterprise Strategy, Business Functions, Ethical Considerations, Technology IntegrationLinkHighIn 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.2023Deloitte AI Institute
JP Morgan Asset Management2023Industry trends, Opportunities and challenges, Applications and use cases, Workforce ImpactsJob Creation, Regulatory Challenges, Automation, Labor Productivity, Economic TransformationLinkHighThis paper addresses the significant potential implications of AI, especially generative AI, for the economy, workers and financial markets.September 2023Michael Albrecht, Stephanie Aliaga
Oliver Wyman and UK Finance2023Opportunities and challenges, Workforce impacts, Risk and complianceGenerative AI, Predictive AI, Financial Services, Risk Management, Regulatory LandscapeLinkHighThe report examines the current and future state of AI in the UK financial services sector2023Oliver Wyman and UK Finance

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!

Explore more courses on AI and Generative AI

In addition to having a comprehensive AI and generative AI insights library, it is also essential to equip yourself with knowledge and skills in artificial intelligence. We have built the FREE courses: AI in Finance and Exploring the power of OpenAI and ChatGPT to help you navigate and thrive in the new digital world. 

Generative AI 360 in Finance Certificate

Get a good understanding of Generative AI and how to use it in just 15 mins a day, over 6 weeks.

AI in Finance Specialisation

Learn the applications of AI in Financial Services from leading industry experts.

Bite-Sized Short courses on Generative AI

Explore Generative AI in Finance. Unlock the future of financial service with 50 short courses on THINK.

Verified by MonsterInsights