BUSINESS SITUATION
Our client, a leading consulting firm, aimed to understand the deployment landscape of Generative AI among global organizations, including key objectives such as:
- Evaluating deployment strategies and budget allocation for Generative AI initiatives.
- Identifying use cases, barriers, and challenges associated with deploying Generative AI.
- Analyzing outcomes and assessing how well organizations leveraged Generative AI to achieve their objectives.
SGA STRATEGIC APPROACH
To help the client achieve these objectives, SG Analytics conducted in-depth discussions with 15 key decision-makers across North America, Europe, and Asia-Pacific.
Survey Design and Delivery:
- Target Respondents: Engaged Directors and senior leaders responsible for decision-making or actively involved in Generative AI deployment strategies
- Target Companies: Focused on organizations with more than 1,000 employees globally, spanning various industries.
- Study Focus Areas: SGA’s research covered the following three critical stages.
- Deployment: Examined Generative AI deployment strategies, including the use of proprietary models for projects.
- Challenges: Identified top challenges faced by organizations during the deployment process.
- Outcomes: Assessed the extent to which Generative AI met organizational expectations and how well organizations were equipped to maximize its potential.
ENGAGEMENT
The study addressed the following themes:
- Strategic planning and deployment of Generative AI within organizations.
- Identification of barriers and challenges associated with deploying Generative AI at scale.
- Evaluation of outcomes, including organizational readiness and return on investment from Generative AI initiatives.
BENEFITS & OUTCOME
SG Analytics provided critical insights that enabled the client to:
- Understand Generative AI Strategies: Gain a clear perspective on deployment strategies and the role of proprietary models in implementation.
- Identify Challenges: Recognize the barriers faced by organizations, helping prioritize areas for improvement.
- Evaluate Outcomes: Assess how well Generative AI met organizational objectives, including operational efficiencies, innovation enablement, and return on investment.
- Strategic Guidance: Develop actionable road maps to optimize the adoption and deployment of Generative AI, ensuring that organizations are equipped to unlock its full potential.
KEY TAKEAWAYS
- Comprehensive Deployment Insights: Delivered an in-depth understanding of Generative AI deployment strategies and budgets across industries and regions.
- Outcome-driven Analysis: Helped the client align Generative AI implementation with business objectives, fostering innovation and competitive advantage.
- Challenges and Solutions: Identified key barriers to adoption and provided insights to address them effectively.
