Released
The New Skills in Finance Report 2022
In a digital-transforming era, there is a widening skills gap for those who cannot adapt to the new digital world in finance.
CFTE and Elevandi published the report with the discussion with leading experts to help governments, organisations and individuals address the current skills gap in finance and build a digital-resilient workforce in the industry.
Key Insights
Key takeaways from "2023 Generative AI in the Enterprise Report" published by O’Reilly
CFTE summarised “2023 Generative AI in the Enterprise Report” by O’Reilly. 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.
Key Aspects
- The report highlights the widespread use and varied applications of tools like ChatGPT, Stable Diffusion, GitHub Copilot, and others.
- It emphasises the transformative potential of these technologies in various business operations and the challenges they bring, especially in finding appropriate use cases and managing unexpected
Table of Contents
- Executive Summary
- Users and Nonusers
- What’s Holding AI Back?
- How Companies Are Using AI
- The Builders and Their Tools
- Missing Skills
- Finally, the Business
Key Findings and Insights
This report will give you an insight into:
- Adoption Rate: Two-thirds (67%) of survey respondents report their companies are using generative AI, with many still in early stages of adoption. A significant 18% have applications already in production, indicating a rapid adoption curve.
- Applications: The most common applications include programming aid (77% of respondents using AI for this), customer interaction (65%), and generating copy (47% for marketing copy and 56% for other types). This usage reflects a broadening of AI’s role beyond traditional tech domains into more customer-facing and creative areas.
- Risks and Challenges: Companies are primarily concerned with unexpected outcomes (49%), security vulnerabilities (48%), and issues related to fairness, bias, and privacy (46%). This shows a growing awareness of the ethical and practical challenges posed by AI.
- Skills Gap: AI programming (66%) and data analysis (59%) are identified as the most needed skills. The report also highlights the need for operations expertise for AI and ML (54%) and general AI literacy (52%), underscoring the evolving requirements in the workforce.
- Business Benefits: Over half of the respondents (54%) anticipate increased productivity as the primary benefit from AI, with 21% expecting increased revenue. Only 4% think AI will lead to lower personnel counts, suggesting a focus on augmentation rather than replacement of human labor.
Key infographics
Be AI-ready in this digital era
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