AI Adoption Gap Widens for Large, Complex Organisations
Despite the rapid advancement of artificial intelligence (AI) technology, large and complex organisations in both the public and private sectors are falling behind in AI adoption. A new report by Codiance highlights this growing gap, revealing that concerns over security, integration, and compliance are major barriers to AI implementation for these entities. While smaller, more agile organisations have quickly embraced AI technologies, their larger counterparts face unique challenges that hinder adoption.
These complex organisations must carefully consider factors such as security protocols, integration with existing systems, and compliance with stringent regulations, which often slow down the implementation process. Codiance, experts in system development and integration for large organisations, warns that deferring AI exploration could leave these entities trailing in the fastest-developing technology market today.
The report emphasizes the critical need for large complex organisations in both public and private sectors to proactively examine AI applications within their operations. To address these challenges, Codiance outlines two primary approaches to AI integration:
- The “Power Station” model: Leveraging third-party AI providers
- The “Self-Power” model: Developing proprietary AI capabilities internally
Each approach offers distinct advantages and challenges, allowing organisations to choose the best fit for their specific needs and constraints
As the AI landscape continues to evolve rapidly, Codiance urges large organisations to take immediate action in exploring AI solutions. By understanding and addressing the barriers to adoption, these entities can bridge the AI gap and harness the transformative potential of this technology.
