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NEW REPORT SHOWS AI TECHNOLOGIES USHERING IN NEW ERA OF DATA AND INFRASTRUCTURE MODERNISATION
Sammy Zoghlami , SVP EMEA at Nutanix utanix , a leader in hybrid multi-cloud
N computing , has 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 .
“ In just one year , generative Artificial Intelligence ( genAI ) has completely upended the worldview of how technology will influence our lives and enterprises are racing to understand how it can benefit their businesses ,” said Sammy Zoghlami , SVP EMEA at Nutanix . “ 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 : 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 .”
Key findings for EMEA include :
• 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 to 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 number one challenge over the next one to two years – higher than any other region . When it came to AI data governance ,
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