Artificial intelligence (AI) is a technology to which all companies have to relate. Some are far ahead, already working to commercialise AI-enabled services or products in the market. Others – probably most – are still working to identify the right use cases and applications to aid, enable and improve the existing business, starting from the internal dimension before even daring to look for external opportunities.
Interestingly, there are some commonalities. For example, cybersecurity is a primary concern regardless of company maturity on AI, while concern over legislative compliance is limited. There is also strong agreement around the importance of specialized AI competence to succeed and potential benefits to be derived, even if leading companies are ahead in experiencing actual positive outcomes.
Whether the focus is internal or external, there seems to be a clear need to bridge competence and trust gaps moving forward. And needless to say, companies just starting out have a lot to learn from those far more experienced.
In our two ViewPoint reports, we explore how these companies at different stages of the maturity scale are approaching their AI journeys.
Leading the way on artificial intelligence
The Leading the way on artificial intelligence report looks at those companies working in IT or developing AI solutions for others. These companies are quite advanced, cite a high degree of maturity and technical knowledge, and are already leveraging on opportunities and generated benefits.
The majority recognize the need for process governance to ensure safe, reliable and ethical AI solutions with 96% considering an AI management system approach and 88% know the ISO/IEC 42001 AIMS standard.
Starting the artificial intelligence journey
The second report Starting the artificial intelligence journey explores companies who are less mature and what lies ahead. Respondents represent a diverse range of industries, such as manufacturing. Only 21% work on AI implementation in companies where AI initiatives primarily target the internal dimension.
Many have yet to define a clear direction and lack of specialized AI knowledge is naturally lower, perceived as a main barrier for 44%. And most have yet to see the necessity of process governance guided by the ISO/IEC 42001 standard.
