There are many fascinating insights from Dresner Advisory Services’ 6th annual 2019 Data Science and Machine Learning Market Study published last month. The study found that advanced initiatives related to data science and machine learning, including data mining, advanced algorithms, and predictive analytics are ranked the 8th priority among the 37 technologies and initiatives surveyed in the study.
- Marketing and Sales prioritize AI and machine learning higher than any other department in enterprises today.
- In-memory analytics and in-database analytics are the most important to Finance, Marketing, and Sales when it comes to scaling their AI and machine learning modeling and development efforts.
- R&D’s adoption of AI and machine learning is the fastest of all enterprise departments in 2019.
“The Data Science and Machine Learning Market Study is a progression of our analysis of this market which began in 2014 as an examination of advanced and predictive analytics,” said Howard Dresner, founder, and chief research officer at Dresner Advisory Services. “Since that time, we have expanded our coverage to reflect changes in sentiment and adoption, and have added new criteria, including a section covering neural networks.”
The original article can be found here.
According to Michael Dukakis Institute for Leadership and Innovation (MDI), AI is an important tool to support society and enterprises in multiple domains including R&D, Marketing, Sales, and Customer Engagement etc. In this effort, MDI invites participation and collaboration with think tanks, universities, non-profits, firms, and other entities that share its commitment to the constructive and development of AI.