This slide discusses key obstacles banks face in AI scaling, such as lack of trust and difficulty managing strategic change. It emphasizes transparency, leadership alignment, and breaking down legacy silos. A chart shows the main goals during AI maturity, with a continued focus on efficiency, experience, and revenue.

The slide outlines the perceived benefits and untapped potential of AI and Cloud investments among High Tech executives. It acknowledges the pivotal role of Cloud during the pandemic and the need for a clearer cloud strategy to fully unlock its potential.

Highlights benefits achieved through AI such as efficiency, stakeholder management, compliance, and analytics. The data implies organizations are still unclear on where AI yields the greatest value.

The slide compares the average number of benefits seen from AI across beginner, implementer, and leader organizations. It emphasizes how leaders derive greater ROI and more significant benefits from AI implementation, including faster insights and talent retention.

The slide shows the percentage of respondents in each country who believe AI’s benefits outweigh its drawbacks. It reflects overall optimism or skepticism towards AI's societal value and utility.

The slide addresses the issue of discriminatory bias in AI systems, emphasizing the need for efforts to prevent such biases from being embedded. It outlines the cycle of bias, from real-world patterns of inequality to biased AI design and deployment practices, highlighting the challenges and potential solutions for creating fairer AI systems.

This slide presents how much respondents across countries trust AI systems to avoid discrimination or bias. It highlights global perceptions of fairness in AI and potential ethical concerns.

Describes various emerging technologies like AI, blockchain, APIs, and automation, and their transformative impact on the financial services industry.

The slide highlights advanced AI, blockchain, and IoT as top transformative technologies and shows tech roles that are hardest to fill.

Highlights the significant role of AI in enhancing company performance in the U.S., with insights from industry leaders on how AI is transforming business operations and strategy.

Discusses the importance of AI in business, noting that 94% of business leaders believe AI is crucial for success over the next five years. This slide is suitable for presentations on digital transformation and its impact on business growth.

The slide provides an overview of how Equifax leverages its proprietary data alongside advanced AI capabilities to enhance decision-making processes and product development, highlighting the strategic use of technology in business.

The slide outlines the projected advancements in AI capabilities over the next few decades. It predicts significant milestones in AI performance, highlighting the increasing complexity and ambition of tasks that intelligent machines will be able to accomplish, potentially surpassing human capabilities.

This slide outlines how AI and emerging tech, particularly GenAI, are driving capital expenditures in the US. It shows a 45.7% increase in big tech capex and a rising trend in humanoid robotics investment, with corporate implications focused on AI readiness and strategy.

This slide presents challenges to AI adoption among retailers, including data fragmentation, poor quality, integration complexity, high costs, lack of leadership, and ethical concerns. It segments these barriers into five core domains and provides insight into how small and mid-sized businesses especially struggle with foundational AI readiness factors.

The slide presents the top challenges organizations face when integrating AI. Security and data privacy concerns top the list, followed by lack of AI expertise, and difficulty measuring ROI. Additional barriers include ethical risks, data silos, and lack of leadership support. The data highlights common obstacles that hinder successful AI adoption in financial services.

This slide highlights the various challenges and inefficiencies faced by organizations in scaling AI initiatives. It is useful for understanding barriers to technology adoption and strategizing on overcoming these challenges.

Examines the broader challenges of AI adoption, including labor market shifts, data management, and regulatory concerns.

Identifies top AI-related challenges companies face at different maturity levels. Multi-disciplinary teams are the greatest challenge across most groups, followed by data foundation and security risk. Reinforces the idea that challenges evolve as companies mature in AI adoption.

The slide illustrates public sentiment about the inclusion of new technologies in school curricula. Many countries believe current curricula allocate too little space for topics like AI and coding, revealing a push for modernization.

Shows that 64% of executives prefer AI-human collaboration, with fewer choosing either extreme (AI-led or human-led). This reflects a trend toward integration rather than substitution.

Discusses the transformative potential of AI in corporate communications, its risks, and how organizations are adapting AI tools for efficiency and engagement.

This slide presents data on how AI influences competition in business, emphasizing the advantages of being an early adopter in technological advancements.

This slide explores how organizations are using or planning to use AI for compliance activities. It presents a chart showing the level of AI adoption across 15 areas such as fraud detection, training, and transaction monitoring. The text discusses how AI is expected to positively impact compliance, with 71% expecting a net benefit.

The slide highlights the financial services sector's tendency toward data-centric risk responses. It introduces KPMG Australia's AI compliance platform and outlines key strategies for regulated sectors to manage digital transformation, with a strong focus on AI-driven regulatory response and risk framework evolution.

The slide identifies semiconductor opportunities in AI compute, automotive MCUs, infotainment processors, and IoT modules. It balances this with risks like long commercialization cycles and supply chain gaps, stressing India's strategic positioning.

Highlights concerns employees have about AI's impact on professional identity and suggests actions CEOs can take to address these concerns.

Depicts nervousness levels around AI across 31 countries, highlighting the U.S. as one of the most apprehensive. Bar chart includes percentage increase from 2021 to 2023.

This slide compares leading AI-enabled solutions in consumer intelligence and marketing measurement. It highlights strong performers and leaders in the market.

This slide compares leading AI-enabled solutions in consumer intelligence and marketing measurement. It highlights strong performers and leaders in the market.

Discusses the trends and implications of AI in consumer markets, including how AI technologies are being integrated into various consumer business practices and their impact on market dynamics.

Shows what companies expect from auditors regarding AI controls, including more thorough reviews, governance assessments, and attestation roles. Discusses gaps in current regulatory frameworks and future compliance needs.

Describes decision-making structure for responsible AI: a strategy-setting AI Trust Council and execution-focused AI Delivery Pod, backed by multidisciplinary teams.

The slide explores how AI has been successfully integrated into creative fields, providing examples of AI-generated works in music, art, literature, and media. It highlights the diverse applications of AI in the creative realm, showcasing its potential to innovate and transform traditional artistic processes.

Examines the impact of AI on customer service in wealth management, forecasting significant adoption in coming years.

This slide emphasizes the importance of data in optimizing artificial intelligence and presents data on the number of AI players by country. It compares the strengths of different regions in AI domains like natural language processing and machine learning, highlighting the global competition in AI development.

Describes the concepts of automated buying and interactive shelves in the context of AI and data era, highlighting how these technologies can improve shopping experiences and customer retention. The slide also includes trend assessments and industry impact projections.

Discusses the effectiveness of AI debiasing algorithms in improving fairness while balancing accuracy.

Shows advanced AI use cases including automation/decision-making, workflow redesign, and error/problem detection. Highlights advanced automation of trading logic, smart contracts, and risk management processes across three waves.

Public concern about deepfakes as a tool for disinformation is high globally (75%). Canada (78%) and the US (74%) also show significant concern on this issue.

This slide captures international sentiment on the perceived risk of AI-driven defense systems losing human oversight. The global average concern is 60%, with the U.S. matching this rate and Canada slightly lower at 56%.

This demographic breakdown shows how different groups perceive AI’s likelihood to change or replace their current job roles. Gen Z and decision-makers show the highest belief in job changes due to AI.

Analyzes trends in AI deployment and investment, showing a significant increase in AI applications and investment plans. It is relevant for discussions on technology budgeting and strategic investment in the tech industry.

Offers strategies for optimizing AI deployment, including investing in culture and leadership, transforming operations, and orchestrating tech and talent. This slide is ideal for strategic planning sessions in technology sectors.

Presents comparative AI-driven profitability across financial subsectors, noting financial services are advanced but still face challenges with AI scaling. Emphasizes rapid tech evolution and integrated ecosystems as essential to digital leadership.

Outlines the economic potential of adopting AI responsibly, highlighting different scenarios and their impact on economic growth.

This slide outlines beliefs about AI’s macroeconomic effects. While developing nations are more optimistic, developed countries like New Zealand show lower confidence in economic benefits from AI.

Advocates for a strategic approach to AI ecosystems, emphasizing the need for collaboration, data access, and careful partner selection to optimize AI technologies and cost efficiency.

Highlights the disparity between France's strong academic presence in AI and its limited deep tech funding compared to RoW and Europe.

Discusses incremental changes brought by AI-based technologies in education, including personalized learning, virtual tutors, AI learning patterns, and inclusivity through speech recognition.

This slide shows that marketing is the most focused AI function for driving effectiveness in retail. It outlines how AI is used to predict outcomes and enable data-driven decision-making, with small and mid-sized retailers focused on customer insights and sales. It also mentions the rise of omnichannel approaches and use of customer lookalike models.

Analyzes expectations regarding AI's impact on employment within American companies in France, suggesting a limited effect on job numbers despite the technology's growing influence.

This slide presents public opinion data from 29 countries on whether AI will create new jobs domestically. It ranks countries by perceived likelihood, with a global average of 43% likely.

The slide focuses on the "Enable" phase of AI adoption, emphasizing the need to prepare people and foundational systems. It outlines top leadership goals, such as improving efficiency, customer experience, and mitigating risks. It underscores the importance of AI literacy, ethical alignment, and building a strong initial base for scaling AI.

The slide identifies key enablers for successful AI deployment, such as ROI evaluation, data accuracy, interoperable systems, and skilled workforce. It highlights that e-commerce players prioritize AI investment more than ROI and stresses the importance of annotated data and skilled teams for long-term AI integration success.

This slide shows how people across different countries believe AI will influence their entertainment options such as TV, music, movies, and books. The data shows generally high optimism, especially in China and Latin America.

The slide illustrates public opinion on AI's positive influence on entertainment. Peru and Indonesia lead optimism, while Gen Z is most hopeful among demographic groups.

Ranks various methods of communicating AI ethics to the workforce, highlighting which methods are perceived as most effective by C-level executives.

Discusses how companies communicate AI ethics to their employees, including workshops, internal specialists, and ethical reporting methods.

Lists current and planned initiatives for responsible AI use. These include employee education, third-party reviews, ethical frameworks, and disclosures. Distinguishes between what’s already in place and what CEOs aim to implement in 2024.

The slide highlights the percentage of organizations hiring or planning to hire for various ethical positions in AI and technology, such as AI ethics researchers, compliance specialists, and policy analysts.

Emphasizes the importance of ethics and governance in AI deployment. Introduces the KPMG Trusted AI framework and its 10 ethical pillars to ensure responsible, transparent, and compliant AI implementation.

Highlights the involvement of different business leaders, such as chief ethics officers and boards of directors, in developing AI ethics policies.

Lists top public concerns regarding AI (e.g., privacy, bias, misinformation). Visual data shows levels of worry using segmented bar charts to represent varying degrees of concern from "Very worried" to "Not worried". Tied to Ipsos' FAST (fair, accountable, secure, transparent) framework.

Describes KPMG’s strategic approach to developing and deploying trustworthy AI systems. Emphasizes ethical AI, fairness, transparency, safety, and sustainability. The circular diagram segments AI development into phases and principles. This slide outlines a framework for responsible AI implementation aligned with corporate values and governance.

Lists five best practices for generative AI: ethical use, privacy/security, workforce training, public transparency, and fostering economic impact. Each section outlines strategic and regulatory considerations.

Addresses the ethical challenges AI faces, such as decision-making transparency and bias. It provides statistical insights into public perceptions and concerns across different countries.

This slide highlights that people feel most uncomfortable with AI-generated fake content (images, voices) and high-stakes decisions like welfare assessment. The discomfort stems from lack of trust in AI's ability to act responsibly without human oversight.

This slide discusses crucial debate topics surrounding AI trends, such as the importance of trustworthiness, the necessity of explainability, the benefits of application prioritization, and the spectrum of other relevant risks, including cybersecurity, regulatory compliance, privacy, and fairness issues.

Outlines AI evolution from descriptive to generative stages. Shows how AI capabilities have grown over time, with modern AI capable of generating solutions and foresight, building on foundational descriptive and diagnostic insights.

The slide details generative AI adoption across demographics and geographies, indicating widespread early use and notable surprises (e.g., boomers using it more than millennials).

Analyzes how familiarity with AI influences perceptions, important for understanding market readiness and potential resistance or advocacy for AI initiatives.

Reviews the application of AI in financial services, emphasizing its role in improving customer experience and optimizing operational and financial processes, particularly highlighting trends in automation and data privacy.

The slide indicates that 88% of CFOs believe AI will improve forecast accuracy and predictability. It highlights the adoption roadblocks for AI in finance, such as risk and reliance on legacy systems.

This slide compares the share of active AI players in various sectors between France and other countries, highlighting France's strengths in AI.

This slide highlights areas where France lags in AI adoption, particularly in industrial and corporate banking sectors, compared to other countries.

The slide shows that AI companies received one-third of global VC funding in 2024, with strong CEO support for AI adoption. AI dominates VC portfolios, particularly in unicorns and early-stage ventures, maintaining its position as a leading investment theme despite broader sectoral challenges.

The slide explores the transformative potential of AI across various sectors, outlining future applications from 2030 to 2050. It discusses the impact of AI on healthcare, trust and governance, sustainable business practices, and service innovation, emphasizing how AI could fundamentally change these areas.

Predicts anticipated future change in daily life due to AI technologies. High agreement levels in Asia-Pacific regions and younger, wealthier, and more educated groups.

This slide highlights expected future impact of AI, showing global anticipation that AI will significantly shape lives in the coming 3–5 years. Agreement is generally higher than in the retrospective view (Slide 19082), with strongest expectations from China, Indonesia, and South Korea.

Demonstrates potential changes in job roles and work distribution with the integration of AI, aiming at operational optimization and enhanced efficiency.

Summarizes key figures on AI and Gen-AI in banking, highlighting adoption rates, revenue impact, and productivity improvements.

Shows how AI and GenAI accelerate procurement by automating 75% of tasks. Highlights AI applications across the procurement value chain (e.g., intake, contract management, payments). Each step is broken down with sample automation and GenAI use cases.

This slide presents global comparisons of opinions on whether AI will change or replace jobs in the next five years. It ranks countries based on perceived likelihood, highlighting global disparities.

This slide presents survey data on global and demographic attitudes toward AI products and services, focusing on whether people think AI brings more benefits than drawbacks.

This slide emphasizes the importance of collaboration between governments, tech companies, and the public in the development of AI. It shows that trust is highest in academic institutions and tech companies, despite generally low institutional trust globally.

Survey data highlighting global concern (74%) about AI-driven cybersecurity threats. Canada and the US show above-average levels of concern at 78% and 76% respectively.

The slide presents forecasts for the AI healthcare market, expected to grow at 37% annually until 2030. It outlines how AI enhances diagnosis speed, reduces administrative workload, and supports chronic disease management. Emphasis is placed on the expanding role of AI in transforming healthcare delivery.

Sector analysis from 2018–2024 shows growing investment in AI, enterprise software, and healthcare (especially pharma & biotech). Despite fluctuations, these sectors consistently attract high funding and deal activity across the Americas.

This slide highlights perceptions of AI’s role in improving personal health. While optimism is low in many developed countries, younger generations and higher earners are more hopeful.

The slide discusses the mixed reactions to the growing power of AI, presenting survey results that show both enthusiasm and concern about its use. It emphasizes the importance of maintaining human values in AI development and includes perspectives from prominent figures in the technology industry.

Explains that true AI value comes 70% from people and processes, 20% from technology, and only 10% from algorithms—contrasting perception with operational reality.

This slide shows country-by-country agreement on whether AI products and services have significantly impacted daily life in the past 3–5 years. Agreement is highest in China, Southeast Asia, and South Korea, while Western countries show lower agreement.

Evaluates how people in New Zealand perceive the current and future impact of AI on their daily lives. Forecast shows higher expectations for the future than past experiences.

This slide explores the potential impact of AI on different segments of the education sector, highlighting areas like testing, assessment, and corporate training.

The slide presents a global comparison of public opinion on whether AI will improve, worsen, or not affect the economy in the next 3–5 years. Results are shown for multiple countries, highlighting optimism in places like China and Indonesia.

Offers an overview of AI's potential impact on industries, emphasizing the need for holistic approaches and ecosystem collaboration in leveraging AI.

Evaluates CEO perspectives on AI's potential impact versus the internet revolution, highlighting significant regional insights.

This slide illustrates Nigerian CEOs’ expectations of AI becoming a core part of business strategy, workforce transformation, and product development. It emphasizes high integration in business processes and technology platforms, underlining the growing relevance of AI in long-term planning and operations.

This slide displays New Zealanders' perspectives on AI’s future effects across domains such as productivity, entertainment, health, and employment. Results show mixed optimism, especially for job markets.