We see MLOps as a solution that solves for people, technology, and businesses challenges that arise with machine learning.

People — MLOps introduces a cultural shift from an over reliance and emphasis on data science to adopting a model that sees data science, ML engineering, and cloud architects working together seamlessly to ship models along a pipeline to production. What makes this possible is the right cloud architecture. Technology — your cloud should be designed with a set of best practices and provide teams with automation in tricky areas of ML at scale like maintaining quality and adapting to changes in data. Now leaders must capitalize on these capabilities. Business — MLOps enables businesses to evolve to be multi-model, multi-product machine learning organizations. Machine learning can bring innovation into all aspects of the business, your competitive advantage.

Along with MLOps, Bitstrapped supports our customers in the areas complementary to MLOps, that is data platforms—ingestion, processing, data lakes, warehousing, and analytics.