Are you testing your data in your data pipeline 🧪?
Interesting view from O’Reilly on why Best-of-Breed trumps All-in-One data science platforms ‼️
Roadblocks to model production vary for different roles 🚧
We have all felt the impact of the recession in one way or another.
You hired 5x ML Professionals, but you are not getting 5x the return.
Found a beautiful and clean illustration from Valohai on MLOps Stack.
It’s 2020 - which “Age” of MLOps are you in❓
Most companies choose to start with building small scale PoCs or POVs.
Product managers have a tremendously tough job.
✈ Deploying a machine learning model is like flying an airplane 🛩 Having no logging is like flying without a Blackbox.
There is an emergence of two types of AI focuses within an organisation according to WORKERA:
According to O’Reillly online learning platform report, summarising the AI/ML:
A couple of days ago, we had a meeting to help a client operationalise their machine learning model.
Can you believe Pandas 1.0.0 is finally here?
Hello 2020! We started the year by reviewing this white paper published by Algorithmia on the 2020 State of Enterprise Machine Learning.
This study from McKinsey suggested that there have been measurable benefits from deployed AI.