Details investor attitudes towards AI in financial services, emphasizing a preference for AI-assisted, not AI-driven, solutions.

Discusses CEO views on whether AI will displace more jobs than it creates, offering a global perspective on the workforce impact.

Discusses the influence of AI on job security and skills enhancement, highlighting differing perceptions among employees and leaders.

Highlights AI's potential for success and disruptive capability, alongside the challenges faced by organizations in adopting and scaling AI solutions.

Highlights the current and expected future usage of AI and machine learning in marketing, noting a 166% growth projection.

Outlines the use of AI in daily operations across various industries, focusing on customer experience and operations, and highlights the sectors and processes where AI has the most significant impact.

Analyzes expectations from AI technology in boosting productivity through enhancements in manufacturing, workforce development, and customer experience.

Predicts the timeline for noticeable productivity improvements due to AI implementation across the surveyed companies.

The slide highlights the desire for more government regulation and global collaboration on AI technologies. It presents data showing a significant majority of business leaders advocating for these measures to manage the unique risks of generative AI, raising concerns about leaving regulation solely to individual organizations.

This slide outlines various aspects of risk management throughout the AI development lifecycle, from strategy adoption to operation and monitoring. It is likely used in presentations addressing the integration of risk management into AI development processes, discussing detailed points like data privacy, cloud use, validation metrics, and deployment pipelines among others. This makes it suitable for audiences involved in AI development and risk management within the technology sector.

Analyzes the critical AI applications for managing risks and improving AI ethics in businesses.

Examines how organizations manage AI risks, emphasizing training and collaboration on AI ethics as key strategies. Highlights differences in approaches between high- and low-outcome organizations.

Explores how organizations develop AI solutions over time, detailing the percentages of methods adopted based on their experience with AI, from in-house development to purchasing packaged solutions and consuming services. Discusses insights from a sector expert.

Focuses on the business perceptions of France's readiness to support AI advancements, highlighting both the optimism about public initiatives and concerns regarding funding and international competitiveness.

This slide examines the anticipated impact of generative AI on the workforce and talent strategies. It includes predictions on the timeline for these changes and highlights the need for education on AI capabilities, signaling potential shifts in skill requirements and employment landscapes.

Discusses the foundational to advanced operational capabilities required for embedding AI in business processes, emphasizing data and automation, AI integration, and best practices.

Analyzes AI use in the technology, media, and telecommunications industries, showing how AI supports various business operations and enhances customer experience, highlighting key areas like cloud pricing and customer feedback analysis.

Discusses the convergence of technology and talent in AI strategies, highlighting how companies acquire AI capabilities through hiring or technology purchase, stressing the importance of aligning tech and talent strategies.

Discusses the roles and penetration of AI in underwriting, indicating areas with room for increased AI implementation.

The slide compares state-of-the-art AI use cases with foundational capabilities, emphasizing that organizations often focus more on advanced use cases while neglecting essential foundational elements.

Discusses the positive impact of AI on workforce performance and job satisfaction, noting that 82% of respondents see a beneficial impact. This slide is pertinent for discussions on human resources strategies in tech industries.

Discusses gaps in harnessing AI to optimize workforce, including leadership roles and investment in AI, contrasting organizations that are advancing in these areas with those that are not.

Highlights the priorities of High Tech leaders in adopting AI/ML analytics platforms and 5G technology. It presents a case for customer-centric solutions and investment in digital enablers as a step towards innovative, tailored solutions.

Explores the strategic steps organizations can take to integrate AI/ML into their MRM practices.

Explains techniques for making AI/ML models interpretable, aiding in understanding and trust of AI systems.

The slide compares the monthly reach percentages of AM/FM radio to various streaming services, showing the dominance of radio across all age groups in the U.S.

Presents four new metrics developed to assist Adaptable Organizational Network Analysis (AONA) in the professional services sector, highlighting how organizations can measure and improve their adaptability.

The slide highlights the competitive strengths of the Credit Suisse APAC IBCM franchise, including market share, revenue growth, and key differentiators in the region.

It highlights the number and proceeds of IPOs in the APAC region, focusing on the strong performance of Greater China and South Korea.

The slide discusses different approaches APAC family offices plan to implement to optimize performance and measure success, focusing on ESG factors and sustainability initiatives.