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Maximise the Impact of AI/ML with Enterprise Kubernetes
November 16, 2021 @ 3:00 am
November 16, 2021 | 11:00AM SGT
We’re witnessing an astonishing growth in the volume of information stored and processed in real-time – now measured in zettabytes! As such, the world is well past the point where making sense of all this information is humanly possible and we need specialized Maximise tools such as AI/ML to reveal new intelligence and drive actionable outcomes.
Now algorithms can tackle more ambitious problems. Maximise AI/ML platforms can now be deployed at a fraction of the time and cost and made use of by a new generation of data scientists and data engineers.
Yet despite these advances, challenges persist:
- Data Analysts experience challenges pulling data from multiple sources across enterprise and cloud systems and making sense of that data.
- Data Scientists and Data Engineers can’t get ready access to the tools and compute power they need to respond to business demand.
- A lack of frameworks and architecture to support model building, deployment and monitoring, inherently affects the delivery speed of AI/ML workloads
- Siloed teams, manual processes, and lengthy processes result in increased costs.