With the advance of cloud computing and Machine Learning (ML), designing systems that work well on today's computational infrastructure is becoming an undertaking, whether it is public or private clouds, let alone hybrid environments.
This problem is arguably an engineering challenge which is at the core of every Fortune 500 digital transformation and tech startup journey. Add the ML system requirements to the equation, and you get a complex system that is hard to maintain, scale and upgrade. Yet, it continues to be a critical piece of the business that no company can afford to ignore.
As a result, architecting such systems to scale and meet its demands becomes as much an art as it is a science. Just like Jazz, with its many instruments and players working together to produce a beautiful performance, ML system components need to work together to produce a useful harmonious system. This is exactly what we perfected at JAzz Computing, based on 20 years of experience in building such systems.
Join us on this extraordinary journey to migrate your business models and system to an AI-enabled future, and avoid disruption in a fast-paced dynamic AI-world. Schedule a call with us today!
