How has AI impacted your product development process?

AI has had a significant impact on our product development process in several ways: 1. Improved data-driven decision making. With the data collection and analytics capabilities of AI, we are able to gain valuable insights into customer needs, preferences and behavior. This allows us to make data-driven decisions about what products and features to build. 2. Automated design exploration. AI can help explore thousands of design options through automated processes like parametric design and generative design. This helps our designers identify promising solutions much more quickly. 3. Predictive modeling. Using machine learning models, we can better predict things like customer churn, product adoption, and the success of new product concepts. This predictive capability helps reduce uncertainty and risks in product development. 4. Optimized testing. AI enables us to do smarter product testing like multi-variate testing, personalized testing, and simulations. This allows us to optimize our testing to get the most value and insight as efficiently as possible. 5. Scaled personalization. Using AI, we are able to scale personalized experiences to all of our customers. Personalization has become key to product differentiation and engagement, and AI is critical to delivering personalized interactions. 6. Automated tasks. Several routine tasks in product development can be automated using AI like customer research, data entry, content creation, and product categorization. This allows our teams to focus on higher-level work requiring human judgment and creativity. So in many ways, AI has transformed product development to be more data-driven, personalized, predictive and efficient. When leveraged strategically, AI can be a very powerful tool for building impactful new products and services. But human oversight, governance and judgment remain essential to product development. AI is still limited as technology continues to progress.

Yes,It does.https://dvdfab.org/ai-suite.htm

It is already making a significant contribution: - Simulation: created and executed a simulation of the application and generated all requirements, implementation, and architecture documentation needed by developers - Code Analysis: analyzed code submitted by a developer and helped answer questions about its functional completeness - Developer selection: analyzed dozens of freelancer developer applications and recommended best fit for submitted code completion That's just using it by a non-developer. I am looking forward to working with developers who use it much more extensively to accelerate and optimize their development efforts.

So far I’ve been getting a lot of value out of the VS Code extensions for iterating on test projects. I’ve been using Warp which is a AI powered terminal that launched on Product Hunt. Also general searching has just accelerated — excited to test out the new Bard functionality as well. What about you?

We use AI to improve the clarity of images and videos : https://dvdfab.org/photo-enhance...