Getting started with AI
Tags: AI , artificial intelligence , Automation , machine learning , Ubuntu
From the smallest startups to the largest enterprises alike, organisations are using Artificial Intelligence and Machine Learning to make the best, fastest, most informed decisions to overcome their biggest business challenges.
But with AI/ML complexity spanning infrastructure, operations, resources, modelling and compliance and security, while constantly innovating, many organizations are left unsure how to capture their data and get started on delivering AI technologies and methodologies.
Now is the time to take the plunge. Whether on-prem or in the cloud, you can establish an AI strategy that connects to your business case, forming a scalable AI solution that is focused on your particular data streams.
- Key concepts in AI/ML
- Factors to consider and pitfalls to avoid
- Roles, skill sets and expertise needed for success
- Infrastructure and applications for multi-cloud operations for the full AI stack
- Building a readiness plan to deliver AI insights powered by your data: discovery, assessment, design, implementation and operation and feedback
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