Post by account_disabled on Dec 3, 2023 7:06:16 GMT
Publication date :March 16, 2020 Flipboard Reddit Pinterest WhatsApp E-mail Predictive models based on machine learning are increasingly attractive to businesses. At the forefront of their users: marketing and sales departments… According to a study conducted by IDC on behalf of Dataiku among 162 business departments of companies with 500 employees or more, half of the companies surveyed say they have already deployed predictive models based on Machine Learning or are in the process of deploying them.
21% of business departments even make it a priority by 2021… On the podium of professions using these technologies, sales departments take first place (41%), followed by marketing (37%) and production (33%). The adoption of Country Email List prediction remains complicated However, even if in 2019 the adoption rate is significantly increasing compared to 2018, many challenges remain to disseminate the use of these technologies throughout the company. In this study, several obstacles to the deployment of predictive models throughout the company were identified:
Episode after episode, fan reactions are closely scrutinized, on social networks, fanart and fanfiction sites. If this work has long been done manually by the creative and marketing teams, they are now supplemented by data visualization tools, which accelerate and make artistic decision-making more efficient.
21% of business departments even make it a priority by 2021… On the podium of professions using these technologies, sales departments take first place (41%), followed by marketing (37%) and production (33%). The adoption of Country Email List prediction remains complicated However, even if in 2019 the adoption rate is significantly increasing compared to 2018, many challenges remain to disseminate the use of these technologies throughout the company. In this study, several obstacles to the deployment of predictive models throughout the company were identified:
Episode after episode, fan reactions are closely scrutinized, on social networks, fanart and fanfiction sites. If this work has long been done manually by the creative and marketing teams, they are now supplemented by data visualization tools, which accelerate and make artistic decision-making more efficient.