Jamal Smith’s Post

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VP, Senior Product Manager- Aladdin Engineering

Building on yesterday’s post, here are 5 common General AI use cases, across industries: * Content creation 
Generate images, videos, music, text and, my personal favorite, presentations . 

 * Natural language processing 
Use generative AI for language translation, summarization, and dialogue generation. You can also use it to answer questions and help users find answers based on data and prompts. My favorite use case at the moment is helping to gleam key insights from meetings with senior stakeholders, as well as identify emerging trends. 

 * Design 
Use generative AI to generate design prototypes based on inputs and constraints, or to optimize existing designs based on user feedback. For example, i recently used it to create a prototype of an enhanced workflow for a pre existing tool I’m improving. 

 * Marketing and sales 
Use generative AI to create personalized messages for customers based on their profile and behavior. You can also use it to generate sales scripts or talking points based on a customer's segment, industry, and the product or service. 

 * Scientific discovery and technology commercialization 
Use generative AI to accelerate the drug discovery process. For example, you can use it to predict treatment responses, formulate patient-specific drugs, and conduct experiments faster #fintech #product #productmanagement #GenAI #finance #jobseeker

These use cases for General AI are incredibly diverse and show the potential for significant impact across industries. How do you see these applications evolving over the next few years?

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