Driving Productivity and Improved Outcomes With Generative AI-powered Assistants 7 How Goals and Challenges Drive Use Case Decisions All organizations share a common goal: to find ways to improve their financial results and their long-term competitive position. But achieving that goal and other related outcomes requires new ways of thinking, new processes, and new technology tools. All of these factors, done correctly and with the proper degree of urgency, help organizations make their workforce more productive and efficient. Whether we’re talking about giant multinational conglomerates, midsize manufacturers, or relatively small professional service firms, all employers strive to find ways to deliver more output for the same amount of budget and staff resources. Of course, there are a lot of issues that get in the way. These include limited availability of quality data for models (31%), high implementation costs (30%), difficulty measuring ROI/ business impact (28%), and concerns over data privacy and security (28%).6 Top AI Implementation Challenges 31% 30% 28% 28% 27% 1c+9f= 0c+0g= 8b+2g= 8b+2g= 7b+3g= Limited availability of High costs associated DifÏculty measuring ROI Concerns over data privacy DifÏculty scaling across quality data for models with implementation or business impact and security the organization 27% 27% 26% 25% 24% 7b+3g= 7b+3g= 6b+4g= 5b+5g= 4b+6g= DifÏculty integrating with Lack of regulatory or Ethical considerations and Lack of expertise and talent Lack of understanding or existing systems and processes legal framework their impact on society buy-in from stakeholders © 2024 TechTarget, Inc. All Rights Reserved. 6Ibid. Back to contents