Summary: Here are our 5 predictions for data science, machine learning, and AI for 2019. We also take a look back at last year’s predictions to see how we did.
It’s that time of year again when we do a look back in order to offer a look forward. What trends will speed up, what things will actually happen, and what things won’t in the coming year for data science, machine learning, and AI.
We’ve been watching and reporting on these trends all year and we scoured the web and some of our professional contacts to find out what others are thinking.
Here’s a Quick Look at Last Year’s Predictions and How We Did.
- What we said: Both model production and data prep will become increasingly automated. Larger data science operations will converge on a single platform (of many available). Both of these trends are in response to the groundswell movement for efficiency and effectiveness. In a nutshell allowing fewer data scientists to do the work of many.
Clearly a win. No code data science is on the rise as is end-to-end integration in advanced analytic platforms.
- What we said: Data Science continues to develop specialties that mean the mythical ‘full stack’ data scientist will disappear.
To read all 2018 predictions, and compare with the updated 2019 version, click here.
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