88% of AI/ML decision-makers expect the use cases that require these technologies to increase in the next one to two years. More than 40% of respondents believe their current data architectures won’t meet their future model inferencing requirements. As teams develop more models on real-time data, the need for accuracy and scalability is becoming increasingly critical. Forrester Consulting found that locating models in an in-memory database would solve key hurdles currently standing in the way.
Source: https://www.helpnetsecurity.com/2021/07/12/model-inferencing-requirements/