Building a feature store or feature platform for machine learning is exciting work. However, most teams tasked with building a machine learning platform aren’t aware of all the challenges they will face.
If your team is debating whether building or buying would be the best path to success, then this whitepaper is for you.
Download today to learn when it makes more sense to buy a solution and the benefits of doing so, including overcoming some of the key challenges, as well as considerations you’ll need to take into account when building a solution, such as:
- Managing the data pipelines needed to get machine learning models into production
- Automating batch, streaming, and real-time data pipelines
- Reducing training / serving skew
- Planning for engineering support, tech lock-in, and scaling to support more models and features