Business
New EMEA Research by Rackspace Technology Finds Artificial Intelligence (AI) and Machine Learning (ML) Have Increased Productivity, Innovation, Intelligent Applications, and Results
93% of Education IT Managers and 97% of Research IT Managers have already introduced, or are planning to introduce, AI and ML at work LONDON, May 17, 2023
About this update from Rackspace Technology, Inc.
[{"type":"text","content":"93% of Education IT Managers and 97% of Research IT Managers have already introduced, or are planning to introduce, AI and ML at work\nLONDON, May 17, 2023 (GLOBE NEWSWIRE) -- Rackspace Technology® (NASDAQ: RXT) — a leading end-to-end, multicloud technology solutions company, today announced that after the pandemic, the adoption of Artificial intelligence (AI) and Machine learning (ML) have increased in research and education universities. The research, How Artificial Intelligence and Machine Learning are Transforming Research and Education, found that: 93% of IT managers surveyed in the education sector and 97% of IT managers surveyed in the research sector said they plan to introduce AI and ML at work. 78% of IT managers surveyed in the research sector agree AI and ML have impacted the way of doing research, and 74% of IT managers surveyed in the education sector agree AI AND ML have impacted the way of teaching. \"Post-pandemic AI and ML adoption by universities has increased manifolds. 97% of research sector IT managers have introduced or plan to introduce AI and ML at work. The trend has led to increased cloud adoption,\" says Mahesh Desai, Vice President of EMEA. \"AI and ML are increasingly important for research and universities today, and by adopting cloud technology, the research and education community will increase their pace of innovation for their digital transformations.\" Methods leveraging AI or MLThe research found that in the education sector, half of the respondents use AI or ML to transcribe online lectures, conduct exams remotely, and enable distant learning. In addition, over a third of respondents leverage AI or ML for proctoring and assessment. Similarly, in the research sector, respondents are most likely to use AI or ML for Security Screening or Fraud Errors, Sentiment Analysis, Predictive Recommendations, and to speed up research. In addition, the use of AI and ML is also found in IoT and Device Management, operations like Fault Detection, and increasing accuracy. Impact of using AI and ML The significant impact of using AI and ML is demonstrated in that almost 78% of IT managers surveyed in the research sector agree AI and ML have impacted the way of doing research. Next, the impact of AI and ML is also seen in the education sector, as almost 74% of IT managers surveyed in the education sector agree ...