#CIO - Do you find it challenging to integrate Artificial Intelligence [AI] with other systems? Integration and security issues

The adoption of Artificial Intelligence [AI] has skyrocketed, amplifying the need for a cohesive IT strategy. However, achieving this balance in the enterprise and within the IT department is easier said than done.

More than three-quarters of organizations are using multiple Artificial Intelligence [AI] models, and the CIO is facing difficulties integrating AI with other systems.

•          The growth of Artificial Intelligence [AI] intensifies the need for a consistent IT strategy.
•          Integration and security issues pose the biggest obstacles to Artificial Intelligence [AI] adoption.
•          Data silos and system fragility impede progress for businesses.
•          Automation remains a contentious topic.
•          APIs continue to serve as a productivity driver versus a strategic lever.

Integration and security issues pose the biggest obstacles to Artificial Intelligence [AI] adoption

Developer productivity within their organization is increasing. However, obstacles persist. Primarily, integration issues impede the adoption of the Artificial Intelligence [AI], such as security concerns, ethical use and adoption of Artificial Intelligence [AI], and data exploration by Artificial Intelligence [AI].

As the adoption of Artificial Intelligence [AI] continues to skyrocket, so does the IT legacy of businesses. CIOs then turn to AI to see what can be done in this regard. Additionally, CIOs balance the adoption of Artificial Intelligence [AI] based on ethical concerns and the obstacles they encounter.

The success of Artificial Intelligence [AI] depends on its integration. While most people believe that Artificial Intelligence [AI] enhances productivity, its effectiveness relies on data integration. Today, the majority of companies plan to adopt an Artificial Intelligence [AI] solution in the coming year, but few are structured with connected applications. Some companies feel that their organization is not capable of fully harmonizing their data systems to leverage Artificial Intelligence [AI] technologies.

Integration concerns are twofold:

•          The difficulty of integrating generative Artificial Intelligence [AI] functions with other software systems
•          The need for integration between existing systems

In this context, a minority of CIOs believe that their strategy to enable non-technical business users to integrate applications and data sources powered by APIs is up to date. There is also a trend of turning to freelance developers to help IT departments catch up - no-code and low-code solutions should be part of the innovation and development strategy.

Almost all companies use APIs, but few have turned them into a strategic lever. This reality is largely explained by company revenues. API-related offerings contribute significantly to revenue. Furthermore, APIs have contributed to increased revenue and reduced operational costs.