At the end of the day, MLOps practices can help organizations to achieve their AI goals more quickly and efficiently. By fostering collaboration between data science and IT teams, MLOps can help to ensure that AI is deployed in a way that is secure, reliable, and scalable.
AUTOMATION
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MLOps Enables Data Scientists to Focus on Model Development
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Another important aspect of MLOps is that it enables data scientists to focus on what they do best – developing models and algorithms – while IT takes care of the operational aspects of model deployment and management.
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MLOps Enables Efficient Collaboration Between Data Scientists IT
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One of the key benefits of MLOps is that it enables data scientists and IT professionals to work together more efficiently and effectively. For example, MLOps practices can help to ensure that data scientists have access to the right infrastructure and tools.
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MLOps: Bridging the Gap Between Data Science and IT Teams
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Do you ever feel like your data science and IT teams are speaking different languages? That's where #MLOps comes in! By standardizing workflows and processes, MLOps can bridge the gap between these two critical teams. (A thread)
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How AI Will Transform Project Management
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How #AI Will Transform Project Management https://
hbr.org/2023/02/how-ai
-will-transform-project-management
… @HarvardBiz #MachineLearning #DataScience #BigData #Analytics #DeepLearning @Shi4Tech @jblefevre60 @sallyeaves @gvalan @data_nerd @ahier @CatherineAdenle @Damien_CABADI @FmFrancoise #DigitalTransformation -
John’s Journey to AI-Powered Consulting Success
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Read about the surprising story of John, and how he became a super consultant. Author: auxi, http://
auxi.ai https://
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Automated Plugin Registry Protocol: Convenience Versus Explicitness Trade-offs
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In my case it was an automated plugin registry; adopt a certain protocol and it would automagically be called for events, no need to manually register. Wouldn’t trade convenience + performance for being explicit again, but 12 years ago I thought it was cool.
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Taxonomy of Integration: Unbundling Data Movement, Reverse ETL, and Automations
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a taxonomy of integration would be useful at this point. people use the word like monolithic blob but needs to be unbundled to be tractable. eg: data movement – @airbytehq (heheh)
"reverse" ETL – census/hightouch
effectful automations – zapier, windmill, inngest & friends
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Building ChatGPT-Like Chatbot Integration for Slack
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Awesome video on how to build a ChatGPT-like chatbot on slack:
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AI as Economic Progress Tool and Human Rights Enabler
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AI is a force for economic progress, assurance of human rights and social welfare. AI is not going to supplant human’s creativity and cognition splendour but help us resolve challenges that require precision and error-free automation. #AIforgood @GPAI_PMIA