Develop and distribute models with agility.
AI is powering digital transformation for many enterprises, allowing them to automate assignments, simplify decision processes and deploy use cases that were unattainable years ago. However, the reality is that AI is complicated and intricate. Compiling the right mix of people, data sources, computing resources and team formation to create intelligent software applications with good return on investment is a new skill set for many organizations.
One of the most complex responsibilities for getting AI workloads into production is model development. Data scientists require to be able to streamline development to the deployment phase by using a platform that speed up the data science life cycle with open access to tools, compute and data. Enterprises require an open and flexible data science platform that automates tasks, while allowing teams to collaborate efficiently, enabling the use cases of today while not locking out those of tomorrow.
We are pushing the boundaries of performance for AI workloads with scalable AI Ready Solutions. These standardized building blocks simplify design and speed configuration and ordering of solutions that have been rigorously tested and tuned for AI applications.