AI & Data Science Tech Blog
Feature Store: Uncover Uber's Secret to Large Scale Machine Learning
Most data science projects never make it to production. Fortunately, you can now easily deploy machine learning models like Uber. Here's what you need to know.
Machine Learning Operations: 3 Challenges Evaluating Machine Learning Models
How model drift impacted the KPIs of two businesses. Challenges, solutions, and outcomes.
2021 Predictions for Data Science Teams and Technologies
Want to know what 2021 has in store for data science technologies? Will MLOps dominate the conversation? How will the Covid recession change data science inside companies? Spend 5 minutes and checkout Datagrom’s predictions for 2021.
Data Science Hot Spots in the US: And What to Expect Post COVID-19
Map of data science nerve centers across the US in 2020. Interpretation, and projections post COVID-19.
Top 3 Data Science Challenges to Operationalize Machine Learning: Insider Stories
Want to add data science and machine learning capabilities to your arsenal (or just make more data-driven decisions)? If so, I commend you! While the rewards can be plentiful, quite often so are the roadblocks to achieving this goal. To help with your journey, I wrote this article to give you a preview of the top challenges you will likely face, so that you can immediately start to make adjustments to your business in order to facilitate this effort.