Machine Learning Operations: Life after ML Models

As businesses expand their use of ML, they face a growing need to optimise the way they maintain and deploy their ML models.

Machine Learning Operations, or MLOps, is the essential function that ensures your ML models are kept up-to-date and continue delivering value for the long term.

In this guide from Inawisdom, AWS and Intel, you’ll learn more about what MLOps is and how it can support on-going model development, enabling you to scale your Machine Learning implementation, embed ML across your business and ensure accurate results.

In partnership with:

Download the report to find out:

What MLOps is and why it’s important
Key considerations for a successful ML implementation
How businesses are using MLOps today
How partners like Inawisdom, Intel and AWS can help

Many companies fail to exploit the power of their ML models because they don’t fully plan for the ‘afterwards’. 

— Robin Meehan, Inawisdom Co-founder & CTO 

About Inawisdom

Inawisdom is a leading specialist in Artificial Intelligence (AI) and Machine Learning (ML). We enable customers to rapidly discover and deliver business differentiation from their data assets to drive true value.

Inawisdom is an AWS Premier Services Partner serving global businesses in a broad range of industries, across the UK and EMEA.

© Inawisdom, 2023