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African enterprises want to adopt AI , slowed by skills gap
Source : Nutanix State of Enterprise AI Report
Nutanix , a vendor in hybrid multicloud computing , released the Nutanix State of Enterprise AI Report , a global research study providing insights into enterprise decision-making around AI . The report provides a holistic view into how enterprises are approaching AI technology strategy and adoption , as well as how future plans will affect IT spending and budgeting .
The report is based on a global research study conducted by Vanson Bourne , on behalf of Nutanix ,
The top AI solutions deployed include virtual assistants , customer support bots , as well as a mix of generative AI solutions . surveying 650 IT , DevOps , and Platform Engineering decision makers between July and September , 2023 . The respondent base spanned multiple industries , business sizes , and the following geographies : Africa , Europe , Middle East , Americas , Asia-Pacific-Japan .
In just one year , Generative Artificial Intelligence has completely upended the worldview of how technology will influence our lives and enterprises are racing to understand how it can benefit their business .
While most organisations are in the early stages of evaluating the opportunity , the State of Enterprise AI report confirms that most consider it a priority . More importantly , the survey uncovered an important theme among enterprises adopting AI solutions .
There is a growing requirement for data governance and data mobility across data centre , cloud , and edge infrastructure environments making it even more important for organisations to adopt a platform to run all apps and data across clouds .
EMEA organisations plan to embrace AI solutions but are slowed by a generative AI skills-gap . 90 % of EMEA respondents said that AI is a priority for their organisation . Today , the top two AI solutions deployed by EMEA organisations include virtual assistants , customer support bots , as well as a mix of generative AI solutions .
However , when it comes to AI solution implementation , EMEA respondents indicate they lack generative AI and prompt engineering skills , and they also require more data scientists and data science skills to support their initiatives .
AI data security , scale , and management will be top challenges for EMEA organisations . More than 90 % of EMEA respondents say that security , reliability , and disaster recovery are important considerations in their AI strategy . EMEA organisations also ranked managing and supporting AI workloads at scale as their organisation ’ s # 1 challenge over the next one to two years – higher than any other region .
22 INTELLIGENTCIO AFRICA www . intelligentcio . com