Machine learning projects in non-AI-centric organizations are always painful.
Conventionally structured organizations are not open to the idea that the success of ML projects can't always be guaranteed.
How can organizations become more AI-centric?
(A thread) ๐งต๐
Conventionally structured organizations are not open to the idea that the success of ML projects can't always be guaranteed.
How can organizations become more AI-centric?
(A thread) ๐งต๐
1. Move to Cloud
Organizations can become more AI-centric by moving away from using legacy systems, which can be costly and difficult to maintain.
Cloud-based systems are often more user-friendly and can be more easily integrated with AI-powered automation and workflows.
Organizations can become more AI-centric by moving away from using legacy systems, which can be costly and difficult to maintain.
Cloud-based systems are often more user-friendly and can be more easily integrated with AI-powered automation and workflows.
2. Encourage a data-driven culture
Start treating data as your biggest asset. If you aren't already collecting, start by taking inventory of the data and identifying opportunities for AI applications.
Data-driven decision-making can help to improve organizational performance.
Start treating data as your biggest asset. If you aren't already collecting, start by taking inventory of the data and identifying opportunities for AI applications.
Data-driven decision-making can help to improve organizational performance.
3. Implement AI-powered automation and workflows
Automating tasks can help to improve efficiency and accuracy and frees up employees time to focus on more strategic tasks.
Automating tasks can help to improve efficiency and accuracy and frees up employees time to focus on more strategic tasks.
4. Experiment โ Monitor โ Adapt
Experiment with different AI implementation strategies that suit the organization's culture. Monitor the results of those experiments and adapt to the strategy of AI implementation that makes sense.
Experiment with different AI implementation strategies that suit the organization's culture. Monitor the results of those experiments and adapt to the strategy of AI implementation that makes sense.
5. Invest in upskilling your workforce
Finally, organizations need to continuously invest in the right resources, both in terms of people and technology.
Finally, organizations need to continuously invest in the right resources, both in terms of people and technology.
That's a wrap! ๐
Thanks for reading the thread. โค๏ธ
Follow me @Saboo_Shubham_ to access more such Data Science, ML, NLP related content in the future.
Thanks for reading the thread. โค๏ธ
Follow me @Saboo_Shubham_ to access more such Data Science, ML, NLP related content in the future.
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