Digital transformation: A recent Survey by TechRepublic Premium shows that artificial intelligence and machine learning projects have moved from the pilot project phase to the implementation phase. .
Enthusiasm for artificial intelligence and machine learning remains high in 2020, as evidenced by en increased spending, development and implementation of AI and machine learning projects overall. company. The way companies manage these projects was the subject of a recent survey conducted by the website TechRepublic Premium.
Many companies have gone from assessing the role of AI and machine learning in an operation to effectively deploying technology. Similarly,the strategy for such initiatives has shifted from senior executives to middle managers,who are responsible for ensuring the success of projects..
Specifically,the survey results showed that these types of projects were co-managed by IT departments and relevant trades for 23% of respondents, while 19% said that only IT managed the projects,and 11% that this was the role of the data science departments. This is a change from 2019, which showed that 33% of AI and machine learning projects were then managed by IT..
Another difference from 2019 is the steps taken to ensure the success of an AI project. In 2019, this meant en small pilot projects and PoC before fully implementing 64% of respondents. In en addition,14% invested in IT service training and relevant trades and 9% selected vendors or consultants with AI expertise. .
AI mainly applied to commercial operations
By 2020, these stages of success have evolved into working with management to better identify cases of AI use (52%), training OF IT staff (48%) and investment in data preparation, IT and automation processes (46%).
Concerns about the implementation en of AI projects have also changed from year to year.. In 2019, the three main concerns regarding project en implementation were: users do not know exactly what they expect from the project (53%), the service IT does en not have the skills to implement and support (47%) and senior managers do not understand the project well (33%).
In 2020, the biggest concerns were that they did not receive business results to justify investment (48%), staff readiness and the difficulty of finding specialized talent (38%) and too long implementation (37%).
It is interesting to note that in 2020, 54% of respondents said that their senior managers were very or somewhat knowledgeable about AI. According to respondents,47% applied AI to business operations, 30% to marketing and sales, and 27% to engineering and IT.