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AI’s Potential: Creating a Framework for Driving Product Innovation
AI is not just a technological advancement. It's a strategic tool that can drive product innovation and provide a competitive edge. Organizations that use a comprehensive framework for identifying and prioritizing key AI applications are more likely to supercharge innovation, deliver customer value, and align with business objectives. Through a structured and practical approach, businesses can gain a clear understanding of how to strategically identify, prioritize, and implement AI to create market leading products that offer significant customer value.
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Data Analytics, Design Thinking, Generative AI, Large Language Model, Machine Learning, Product Management
Disrupting Industries with Data Science: Machine Learning as the Key to Disruptive Innovation
Develop actionable innovation strategies by harnessing the power of advanced machine learning techniques such as RoBERTa, BART, LLM, & LDA
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Building Nom Navigator AI: Enhancing Search and Product Recommendation with Generative AI
In this blog I share the step by step process of building a better search engine using Generative AI and Large Language models (LLMs). I built a restaurant recommendation system using Llama-2-7b-chat-hf, Mistral-7B-Instruct-v0.1, and bge-large-en-v1.5 and the result is an extremely relevant search result based on natural language. The app also helps in finding lesser-known culinary treasures and summarizes user reviews. Generative AI is an incredibly powerful tool that can really enhance your product. They can be used to enhance the user experience, increase the value of the offering, and reduce development time and costs. Generative AI technologies present a fantastic opportunity to boost products’ value, elevate customer satisfaction, generate…
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Develop User Empathy and Craft Better Products: Using Machine Learning to Analyze User Feedback via Clustering & Sentiment Analysis
Ever wondered how to truly understand your users' feelings and craft products they'll love? In our latest blog, we explore the intersection of Human-Centered Design and Machine Learning. Let's dive into the intricacies of design thinking and see how tools like sentiment analysis and clustering can enhance our understanding of user feedback. Discover how sentiment analysis and clustering, can help in unlocking qualitative user feedback into deep user empathy and insights. Whether you're in product design or just curious about harnessing technology for better insights, this piece offers a thoughtful perspective on crafting user-centric solutions.
