In machine learning, we spend a lot of time writing the same set of code for cleaning, data preparation and model building Here's an AutoML framework that takes data, target variable as input and generates an entire machine-learning pipeline for you A Thread
AUTOMATION
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No-code solutions enable omnichannel business transformation
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Leverage the benefits of #nocode and go omnichannel with your business. Try it out yourself – https://
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No-Code SaaS Platform Transforms Agile Business Operations
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#NoCode
Unleashing Agile Business Transformation by streamlining operations with code-free Innovation https://
businesswire.com/news/home/2023
0206005627/en/Former-CEO-of-Cognizant-Invests-in-SIMBYM-a-No-Code-SaaS-Platform
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MLOps Bridges Data Science and IT for Secure AI Deployment
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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.
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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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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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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