Top 5 Challenges when Scaling Machine Learning

Category: Technology

Machine Learning models have changed the way we do business. The possibilities are endless and the business world knows that using ML models can create a world of change in achieving their business gains. During the first quarter of 2019, more than $28.5 billion was funded towards ML. With Covid-19 and the shift to working from homes, digital transformation has seen an incredible resurgence. Businesses that have adopted AI and ML during this time period have only grown more. Despite the mainstream acceptance for ML, it is difficult to translate the technology into business gains. When putting ML models into production, there are a lot of issues that crop up. Scalability is an important phase for real-world machine learning operations.