Key Insights
Key takeaways from "Fueling the AI transformation: Four key actions powering widespread value from AI, right now" report published by Deloitte
CFTE summarised “Fueling the AI transformation: Four key actions powering widespread value from AI, right now” report by Deloitte. The 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.
Key Aspects
- Deloitte grouped responding organisations into four profiles — Transformers, Path seekers, Starters and Underachievers — based on how many types of AI applications they have deployed full-scale and the number of outcomes achieved to a high degree.
- The findings in the report aim to help companies overcome deployment and adoption challenges to become AI-fueled organisations that realise value and drive transformational outcomes from AI.
Table of Contents
- Foreword: The Era of Value
- Introduction: AI Deployments vs. Outcomes
- Action 1: Invest in Culture and Leadership
- Action 2: Transform Operations
- Action 3: Orchestrate Tech and Talent
- Action 4: Select Use Cases to Accelerate Value
- Industry-specific Application
- Acknowledgments
- Methodology
Key Findings and Insights
This report will give you an insight into:
- 94% of business leaders surveyed agree that AI is critical to success over the next five years.
- 79% of leaders say they have fully deployed three or more AI applications, compared to 62% last year.
- 76% plan to increase AI investments despite a slight slowdown from previous years.
- There was a 29% increase in the number of respondents self-identifying as "underachievers," suggesting that many organizations are struggling to achieve meaningful AI outcomes.
- Top challenges associated with scaling according to respondents are managing AI-related risk (50%), lack of executive commitment (50%), lack of maintenance and post launch support (50%).
- Action Areas:
- Culture and Leadership: Nurturing an AI-optimistic workforce for better outcomes.
- Transforming Operations: Redesigning operations to leverage AI ethically and at scale.
- Tech and Talent Orchestration: Integrating technology acquisition with talent management.
- Selecting High-Value Use Cases: Choosing AI applications based on industry-specific value drivers.