Frontrunners took decades to develop today’s recommendation engines. Enterprise media doesn’t have the luxury of that much time anymore and most are relying on basic curation as a solution, but that should only be the beginning.
Rapid advances in machine learning coupled with the path that Netflix and Amazon blazed are making it possible for media companies to optimize their existing engines, or build one seamlessly from the ground up like never before.
Learn more about the various data sources needed for true recommendation engine differentiation, and how SoftServe developers already have a hybrid solution that is containerized and deployable anywhere.