What’s your experience with integrating AI into existing software?
Stefan Bijanic
4 replies
How has your team approached AI integration, and what obstacles did you encounter during the process?
Replies
Goktug Can Simay@simaygoktug
Actually our service is directly based on AI (deep neural networks) You can check its infrastructure:
Crypto and Stock Market Price Prediction Algorithm - https://cryptonforecast.com/
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Integrating AI into existing software has been transformative for our team. We assessed our architecture to identify where AI could add value and implemented models incrementally. The main challenge was maintaining existing features, which we handled through a modular approach and thorough testing. If you’re exploring AI integration, I recommend CodeFulcrum for their expertise in creating seamless, custom software solutions.
Visit: https://codefulcrum.com/
We've integrated AI into our crypto price prediction platform using deep neural networks. It's the core of our forecasting infrastructure. You can check it out at cryptonforecast.com if interested in seeing how AI can power predictive analytics for crypto and stocks. So far it's been amazing for surfacing key insights and generating actionable signals from the market data firehose.
We've been experimenting with OpenAI's APIs to enhance our web app's search and recommendation features. It's been a learning curve integrating the AI components with our existing backend, but seeing some promising results in terms of more relevant search results and personalized recs for users. Would love to hear others' experiences with AI integration challenges and successes!