Organizations are optimistic that AI can enhance business initiatives, but they must first tackle concerns regarding data quality, security, and implementation challenges. A recent global survey by Riverbed, involving 1, 200 IT and business decision-makers, indicates strong confidence in AI's potential to boost business performance, with 94% identifying AI as a priority for their executives. However, while 82% of respondents feel their organizations are ahead in AI adoption, only 37% believe they are ready to implement it effectively. Key challenges include security risks, inadequate data quality for training AI models, and the practical hurdles of deploying AI solutions. Issues with overconfidence are evident; despite an average of four years of AI usage, many organizations misjudge their progress compared to competitors. Approximately 23% of projects have underperformed, illuminating a gap between expectations and actual results. Regarding data quality, while 86% acknowledge its importance, only 43% rate their data as excellent, leading to 42% citing poor data quality as a barrier to further AI investment. Concerns about using synthetic data (76%) and cybersecurity threats (43%) also impede progress. The current infrastructure is another hurdle, with traditional networks struggling to support advanced AI workloads.

Experts emphasize the need for organizations to enhance their computing and networking capabilities to fully leverage AI's potential. Despite these challenges, some organizations have made strides, particularly in integrating AI with high-performing employees to enhance the Digital Employee Experience (DEX). High achievers utilize AI to boost productivity and user satisfaction, with 94% of respondents recognizing its potential to enhance IT operations. Many companies are thus restructuring to foster AI usage and improve user experiences. Younger generations are increasingly comfortable with AI and emphasize the importance of DEX. This generational shift offers opportunities for training and knowledge-sharing to improve overall workplace comfort with AI. However, there is a shared call for transparency regarding AI’s data usage across generations. In conclusion, while organizations are justified in their belief in AI's transformative potential, they must first address challenges related to data quality, security, and implementation. Pairing AI with skilled employees who focus on enhancing DEX is crucial for realizing AI's full capabilities and retaining talent.