Dresner Advisory Services’ 6th annual 2019 Data Science and Machine Learning Market Study was recently released and some interesting findings make for good reading. This interesting topic came to us from Business 2 Community in their article, “State of AI and Machine Learning in 2019.”
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.
In addition, data mining, advanced algorithms, and predictive analytics are among the highest-priority projects for enterprises adopting artificial intelligence (AI) and machine learning in 2019.
Who is most likely to adopt the technology driving data science, AI, and machine learning? That would be the Research & Development (70%) departments. Marketing & Sales lead all departments in their current evaluation of data science and machine learning software.
There are specific features that drive the engagement of these technologies and they are all related to usability. Support for easy iteration of models, access to advanced analytics, and an initiative, simple process for continuous modification of models rank as the top three. Many AI and machine learning software vendors rely on not needing a specialist to use their applications as a differentiator.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
