Fulfilling the Promise of Generative AI 9 Figure 3. Top Challenges Faced When Implementing Generative AI Challenges, Roadblocks, and Speed Bumps: Understanding the Pitfalls of GenAI Employee expertise/skills 39% Ethical or legal considerations (bias and fairness) 32% Now that we’ve pumped up GenAI’s future and the opportunities for organizations to fully leverage it, it’s smart Data quality 31% to take a step back and acknowledge a few real-world truths. Algorithmic transparency/ understand limitations 30% Fulfilling all this potential won’t be easy; even when successful GenAI deployments have been made, there have Solutions are immature 28% been clear challenges. There are numerous issues that organizations have had to confront, and they will undoubtedly Regulatory compliance 25% continue to do so even as GenAI’s success stories build. These challenges (as shown in the research chart) are broad Technical complexity 25% in nature and highlight everything from people and ethics to Difficulty in integrating with existing systems/ 24% data and compliance to technical complexity and cost.6 tackling legacy systems Additionally, organizations need ways to manage and Cost 23% monitor AI, including models in development and production Monitoring for misuse 22% environments. MLOps is a new area where organizations need investment; after all, it’s hard to have trust in Coordination and oversight across the company 19% production-class GenAI if it’s not being regularly and closely monitored. Lack of use case 15% But MLOps does a lot more than monitor what GenAI is Data quantity 13% doing and how it’s doing it. Other areas, such as version control or performance optimization, are facets of MLOps Scalability 11% that are crucial for GenAI applications to function effectively. In addition, GenAI models require careful management like Impact on workforce 10% any other machine learning model. © 2024 TechTarget, Inc. All Rights Reserved. 6Source: Enterprise Strategy Group Research Report, Beyond the GenAI Hype: Real-World Investments, Use Cases, and Concerns, August 2023 Back to contents