Offers a global overview of attitudes towards AI in the workplace, essential for international strategy planning and market entry decisions.

The slide presents research findings on AI adoption in finance, focusing on which AI attributes executives prioritize (e.g., privacy, security) and which ones they tend to overlook (e.g., transparency, sustainability). The plot visualizes importance versus blind spot percentage.

Although awareness of AI is high (98%), only 26% of people know a fair amount or more. The slide highlights demographic disparities in AI knowledge and implies a knowledge divide which affects engagement and trust levels with AI.

Describes public knowledge about AI across 32 countries. Details include understanding levels, awareness of AI products, and emotional responses (excited vs nervous). Highlights generational and regional differences in knowledge and comfort levels.

Provides a snapshot of AI's growing role in banking—expectations, spending trends, ROI pressure, and benefits. Highlights that AI is reshaping the sector, with clear goals around cost reduction and customer experience.

This slide outlines the primary challenges to adopting AI in finance, with data security, lack of skills, and data consistency as top concerns. It includes executive commentary and highlights new risks posed by Gen AI, including legal and ethical issues.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.