5. Advantages and Disadvantages of Utilizing Machine
Learning In the Cloud
Advantages
● Thanks to on-demand pricing models, the ability to
start ML projects without a significant initial
investment.
● Access to high-performance resources like GPUs
and FPGAs without investing in hardware.
● The ability to quickly experiment and scale
machine learning capabilities as projects move
into production and demand increases.
● The ability to utilise ML capabilities without
extensive artificial intelligence or data science
knowledge.
Disadvantages
● Dependence on Experts
● Data Mobility
● Security Risks