Read on Twitter
1/8) I was amongst the first few people to join the data science team. I was surprised by the amount of non-technical work I did.
Thread: Things I wish someone told me when I was first bringing AI into my org.
Thread: Things I wish someone told me when I was first bringing AI into my org.
2/8) Start Small - Gall's Law reigns supreme.
Starting small helps you manage expectations and uncover deal-breaking assumptions.
Starting small helps you manage expectations and uncover deal-breaking assumptions.
3/8) Identify ALL the stakeholders of your project, and figure out the level of communication they need.
4/8) Ask for and explain why you need certain resources like cloud GPUs for development, the importance of monitoring data quality.
5/8) Figure out how the data is stored currently and communicate your requirements about data quality, quantity and security with stakeholders.
6/8) Be transparent when redefining your goals and milestones
7/8) Domain experts provide critical insights that make or break the project, make sure you're best friends.
8/8) I expanded this thread into an essay.
Introducing AI in Enterprise: A Data Scientist’s Perspective
https://akshasrivastava.com/ai_in_enterprise.html
Introducing AI in Enterprise: A Data Scientist’s Perspective
https://akshasrivastava.com/ai_in_enterprise.html
