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| <!-- Navigation --> | |
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| <div class="flex items-center space-x-4"> | |
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| <span class="text-xl font-bold">Generative AI Success Stories</span> | |
| </div> | |
| <div class="hidden md:flex items-center space-x-8"> | |
| <a href="#stories" class="animated-underline">Case Studies</a> | |
| <a href="#solutions" class="animated-underline">Solutions</a> | |
| <a href="#testimonials" class="animated-underline">Testimonials</a> | |
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| <!-- Hero Section --> | |
| <header class="gradient-bg text-white aws-pattern"> | |
| <div class="container mx-auto px-6 py-20"> | |
| <div class="max-w-4xl mx-auto text-center"> | |
| <h1 class="text-4xl md:text-6xl font-bold mb-6">Transform Your Business with AWS Generative AI</h1> | |
| <p class="text-xl md:text-2xl mb-8">Discover how industry leaders are leveraging AWS's cutting-edge generative AI services to drive innovation, efficiency, and growth.</p> | |
| <div class="flex flex-col sm:flex-row justify-center gap-4"> | |
| <a href="#stories" class="bg-awsOrange hover:bg-yellow-600 text-white font-bold py-3 px-8 rounded-lg transition duration-300 transform hover:scale-105"> | |
| Explore Success Stories | |
| </a> | |
| <a href="#contact" class="bg-transparent hover:bg-white hover:text-awsDark border-2 border-white text-white font-bold py-3 px-8 rounded-lg transition duration-300 transform hover:scale-105"> | |
| Get Started | |
| </a> | |
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| </div> | |
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| </header> | |
| <!-- Stats Section --> | |
| <section class="bg-white py-16"> | |
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| <div class="p-6 rounded-lg shadow-md"> | |
| <div class="text-4xl font-bold text-awsOrange mb-2">87%</div> | |
| <div class="text-gray-600">of enterprises report improved efficiency</div> | |
| </div> | |
| <div class="p-6 rounded-lg shadow-md"> | |
| <div class="text-4xl font-bold text-awsOrange mb-2">3.5x</div> | |
| <div class="text-gray-600">faster time-to-market for AI solutions</div> | |
| </div> | |
| <div class="p-6 rounded-lg shadow-md"> | |
| <div class="text-4xl font-bold text-awsOrange mb-2">$12B</div> | |
| <div class="text-gray-600">in estimated cost savings for customers</div> | |
| </div> | |
| <div class="p-6 rounded-lg shadow-md"> | |
| <div class="text-4xl font-bold text-awsOrange mb-2">94%</div> | |
| <div class="text-gray-600">customer satisfaction with AWS AI services</div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- Success Stories Section --> | |
| <section id="stories" class="py-16 bg-gray-50"> | |
| <div class="container mx-auto px-6"> | |
| <h2 class="text-3xl font-bold text-center mb-12 text-awsDark">Featured Success Stories</h2> | |
| <!-- Filter Controls --> | |
| <div class="flex flex-wrap justify-center mb-12 gap-4"> | |
| <button onclick="filterStories('all')" class="px-4 py-2 bg-awsOrange text-white rounded-full font-medium">All Industries</button> | |
| <button onclick="filterStories('healthcare')" class="px-4 py-2 bg-white border border-gray-300 rounded-full font-medium hover:bg-gray-100">Healthcare</button> | |
| <button onclick="filterStories('finance')" class="px-4 py-2 bg-white border border-gray-300 rounded-full font-medium hover:bg-gray-100">Financial Services</button> | |
| <button onclick="filterStories('retail')" class="px-4 py-2 bg-white border border-gray-300 rounded-full font-medium hover:bg-gray-100">Retail</button> | |
| <button onclick="filterStories('manufacturing')" class="px-4 py-2 bg-white border border-gray-300 rounded-full font-medium hover:bg-gray-100">Manufacturing</button> | |
| <button onclick="filterStories('media')" class="px-4 py-2 bg-white border border-gray-300 rounded-full font-medium hover:bg-gray-100">Media & Entertainment</button> | |
| </div> | |
| <!-- Stories Grid --> | |
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| <!-- Story cards will be dynamically inserted here --> | |
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| <button class="px-6 py-3 border-2 border-awsOrange text-awsOrange font-bold rounded-lg hover:bg-awsOrange hover:text-white transition duration-300"> | |
| Load More Success Stories | |
| </button> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- AWS AI Services Section --> | |
| <section id="solutions" class="py-16 bg-white"> | |
| <div class="container mx-auto px-6"> | |
| <h2 class="text-3xl font-bold text-center mb-12 text-awsDark">AWS Generative AI Services</h2> | |
| <div class="grid grid-cols-1 md:grid-cols-3 gap-8"> | |
| <div class="card-hover bg-gray-50 p-8 rounded-xl border border-gray-200"> | |
| <div class="text-awsOrange mb-4"> | |
| <i class="fas fa-robot text-4xl"></i> | |
| </div> | |
| <h3 class="text-xl font-bold mb-3">Amazon Bedrock</h3> | |
| <p class="text-gray-600 mb-4">Build and scale generative AI applications with foundation models from leading AI startups and Amazon.</p> | |
| <ul class="space-y-2 mb-6"> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>Access to multiple foundation models</span> | |
| </li> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>Serverless experience</span> | |
| </li> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>Private customization</span> | |
| </li> | |
| </ul> | |
| <a href="#" class="text-awsOrange font-medium flex items-center"> | |
| Learn more <i class="fas fa-arrow-right ml-2"></i> | |
| </a> | |
| </div> | |
| <div class="card-hover bg-gray-50 p-8 rounded-xl border border-gray-200"> | |
| <div class="text-awsOrange mb-4"> | |
| <i class="fas fa-brain text-4xl"></i> | |
| </div> | |
| <h3 class="text-xl font-bold mb-3">Amazon SageMaker</h3> | |
| <p class="text-gray-600 mb-4">Build, train, and deploy machine learning models for any use case with fully managed infrastructure.</p> | |
| <ul class="space-y-2 mb-6"> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>Pre-built algorithms</span> | |
| </li> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>One-click model training</span> | |
| </li> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>Automatic scaling</span> | |
| </li> | |
| </ul> | |
| <a href="#" class="text-awsOrange font-medium flex items-center"> | |
| Learn more <i class="fas fa-arrow-right ml-2"></i> | |
| </a> | |
| </div> | |
| <div class="card-hover bg-gray-50 p-8 rounded-xl border border-gray-200"> | |
| <div class="text-awsOrange mb-4"> | |
| <i class="fas fa-language text-4xl"></i> | |
| </div> | |
| <h3 class="text-xl font-bold mb-3">Amazon Lex</h3> | |
| <p class="text-gray-600 mb-4">Build conversational interfaces into any application using voice and text with advanced deep learning.</p> | |
| <ul class="space-y-2 mb-6"> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>Automatic speech recognition</span> | |
| </li> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>Natural language understanding</span> | |
| </li> | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-2"></i> | |
| <span>Multi-language support</span> | |
| </li> | |
| </ul> | |
| <a href="#" class="text-awsOrange font-medium flex items-center"> | |
| Learn more <i class="fas fa-arrow-right ml-2"></i> | |
| </a> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- Testimonials Section --> | |
| <section id="testimonials" class="py-16 bg-awsDark text-white aws-pattern"> | |
| <div class="container mx-auto px-6"> | |
| <h2 class="text-3xl font-bold text-center mb-12">What Our Customers Say</h2> | |
| <div class="grid grid-cols-1 md:grid-cols-2 gap-8"> | |
| <div class="bg-white bg-opacity-10 p-8 rounded-xl backdrop-filter backdrop-blur-sm border border-white border-opacity-20 card-hover"> | |
| <div class="flex items-center mb-6"> | |
| <img src="https://randomuser.me/api/portraits/women/44.jpg" alt="Customer" class="w-16 h-16 rounded-full border-2 border-awsOrange"> | |
| <div class="ml-4"> | |
| <h4 class="font-bold">Sarah Johnson</h4> | |
| <p class="text-gray-300">CTO, HealthGenius</p> | |
| </div> | |
| </div> | |
| <p class="italic mb-4">"Using AWS's generative AI services, we reduced drug discovery time by 40% while maintaining 99.9% accuracy. The scalability of Bedrock allowed us to process millions of molecular combinations in days rather than months."</p> | |
| <div class="flex text-yellow-400"> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| </div> | |
| </div> | |
| <div class="bg-white bg-opacity-10 p-8 rounded-xl backdrop-filter backdrop-blur-sm border border-white border-opacity-20 card-hover"> | |
| <div class="flex items-center mb-6"> | |
| <img src="https://randomuser.me/api/portraits/men/32.jpg" alt="Customer" class="w-16 h-16 rounded-full border-2 border-awsOrange"> | |
| <div class="ml-4"> | |
| <h4 class="font-bold">Michael Chen</h4> | |
| <p class="text-gray-300">Director of AI, Finova</p> | |
| </div> | |
| </div> | |
| <p class="italic mb-4">"Amazon SageMaker enabled us to build fraud detection models that reduced false positives by 65% while identifying 30% more fraudulent transactions. The integration with our existing AWS infrastructure was seamless."</p> | |
| <div class="flex text-yellow-400"> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| </div> | |
| </div> | |
| <div class="bg-white bg-opacity-10 p-8 rounded-xl backdrop-filter backdrop-blur-sm border border-white border-opacity-20 card-hover"> | |
| <div class="flex items-center mb-6"> | |
| <img src="https://randomuser.me/api/portraits/women/68.jpg" alt="Customer" class="w-16 h-16 rounded-full border-2 border-awsOrange"> | |
| <div class="ml-4"> | |
| <h4 class="font-bold">Priya Patel</h4> | |
| <p class="text-gray-300">Head of Digital, StyleHub</p> | |
| </div> | |
| </div> | |
| <p class="italic mb-4">"Our AI-powered virtual stylist built on Amazon Lex increased conversion rates by 22% and reduced returns by 15%. The natural language capabilities created truly personalized shopping experiences at scale."</p> | |
| <div class="flex text-yellow-400"> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star-half-alt"></i> | |
| </div> | |
| </div> | |
| <div class="bg-white bg-opacity-10 p-8 rounded-xl backdrop-filter backdrop-blur-sm border border-white border-opacity-20 card-hover"> | |
| <div class="flex items-center mb-6"> | |
| <img src="https://randomuser.me/api/portraits/men/75.jpg" alt="Customer" class="w-16 h-16 rounded-full border-2 border-awsOrange"> | |
| <div class="ml-4"> | |
| <h4 class="font-bold">David Wilson</h4> | |
| <p class="text-gray-300">CIO, AutoMech</p> | |
| </div> | |
| </div> | |
| <p class="italic mb-4">"Generative design algorithms on AWS helped us optimize manufacturing processes, reducing material waste by 18% and improving production speed by 25%. The cost savings alone paid for the implementation in 6 months."</p> | |
| <div class="flex text-yellow-400"> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| <i class="fas fa-star"></i> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- Contact Section --> | |
| <section id="contact" class="py-16 bg-white"> | |
| <div class="container mx-auto px-6"> | |
| <div class="max-w-4xl mx-auto"> | |
| <h2 class="text-3xl font-bold text-center mb-12 text-awsDark">Start Your Generative AI Journey</h2> | |
| <div class="bg-gray-50 rounded-xl shadow-md overflow-hidden"> | |
| <div class="md:flex"> | |
| <div class="md:w-1/2 gradient-bg text-white p-10"> | |
| <h3 class="text-2xl font-bold mb-4">Contact Our AI Experts</h3> | |
| <p class="mb-6">Ready to transform your business with AWS Generative AI? Our specialists will help you identify the right solutions for your unique challenges.</p> | |
| <div class="space-y-4"> | |
| <div class="flex items-start"> | |
| <i class="fas fa-phone-alt mt-1 mr-4"></i> | |
| <div> | |
| <h4 class="font-bold">Call Us</h4> | |
| <p>1-800-AWS-4AI</p> | |
| </div> | |
| </div> | |
| <div class="flex items-start"> | |
| <i class="fas fa-envelope mt-1 mr-4"></i> | |
| <div> | |
| <h4 class="font-bold">Email Us</h4> | |
| <p>ai-solutions@aws.com</p> | |
| </div> | |
| </div> | |
| <div class="flex items-start"> | |
| <i class="fas fa-map-marker-alt mt-1 mr-4"></i> | |
| <div> | |
| <h4 class="font-bold">Visit Us</h4> | |
| <p>AWS AI Labs, Seattle</p> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="md:w-1/2 p-10"> | |
| <form id="contact-form"> | |
| <div class="mb-4"> | |
| <label for="name" class="block text-gray-700 font-medium mb-2">Name</label> | |
| <input type="text" id="name" class="w-full px-4 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-awsOrange"> | |
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| <label for="email" class="block text-gray-700 font-medium mb-2">Email</label> | |
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| <label for="company" class="block text-gray-700 font-medium mb-2">Company</label> | |
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| <div class="mb-4"> | |
| <label for="interest" class="block text-gray-700 font-medium mb-2">Interest Area</label> | |
| <select id="interest" class="w-full px-4 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-awsOrange"> | |
| <option value="">Select an option</option> | |
| <option value="healthcare">Healthcare</option> | |
| <option value="finance">Financial Services</option> | |
| <option value="retail">Retail</option> | |
| <option value="manufacturing">Manufacturing</option> | |
| <option value="media">Media & Entertainment</option> | |
| <option value="other">Other</option> | |
| </select> | |
| </div> | |
| <button type="submit" class="w-full bg-awsOrange hover:bg-yellow-600 text-white font-bold py-3 px-4 rounded-lg transition duration-300"> | |
| Request Consultation | |
| </button> | |
| </form> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- Footer --> | |
| <footer class="gradient-bg text-white py-12"> | |
| <div class="container mx-auto px-6"> | |
| <div class="grid grid-cols-1 md:grid-cols-4 gap-8"> | |
| <div> | |
| <img src="https://d1.awsstatic.com/logos/aws-logo-lockups/poweredbyaws/PB_AWS_logo_RGB_stacked_REV_SQ.91cd4af40773cbfbd15577a3c2b8a346fe3e8fa2.png" alt="AWS Logo" class="h-10 mb-4"> | |
| <p class="text-gray-300">AWS Generative AI Success Stories showcases how businesses are transforming with artificial intelligence.</p> | |
| </div> | |
| <div> | |
| <h4 class="font-bold text-lg mb-4">Quick Links</h4> | |
| <ul class="space-y-2"> | |
| <li><a href="#" class="text-gray-300 hover:text-white transition">AWS AI Services</a></li> | |
| <li><a href="#" class="text-gray-300 hover:text-white transition">Case Studies</a></li> | |
| <li><a href="#" class="text-gray-300 hover:text-white transition">Documentation</a></li> | |
| <li><a href="#" class="text-gray-300 hover:text-white transition">Whitepapers</a></li> | |
| </ul> | |
| </div> | |
| <div> | |
| <h4 class="font-bold text-lg mb-4">Resources</h4> | |
| <ul class="space-y-2"> | |
| <li><a href="#" class="text-gray-300 hover:text-white transition">AWS AI Blog</a></li> | |
| <li><a href="#" class="text-gray-300 hover:text-white transition">Webinars</a></li> | |
| <li><a href="#" class="text-gray-300 hover:text-white transition">Events</a></li> | |
| <li><a href="#" class="text-gray-300 hover:text-white transition">Training</a></li> | |
| </ul> | |
| </div> | |
| <div> | |
| <h4 class="font-bold text-lg mb-4">Connect</h4> | |
| <div class="flex space-x-4 mb-4"> | |
| <a href="#" class="text-gray-300 hover:text-white transition"><i class="fab fa-twitter text-xl"></i></a> | |
| <a href="#" class="text-gray-300 hover:text-white transition"><i class="fab fa-linkedin text-xl"></i></a> | |
| <a href="#" class="text-gray-300 hover:text-white transition"><i class="fab fa-youtube text-xl"></i></a> | |
| <a href="#" class="text-gray-300 hover:text-white transition"><i class="fab fa-github text-xl"></i></a> | |
| </div> | |
| <p class="text-gray-300">Subscribe to our newsletter</p> | |
| <div class="mt-2 flex"> | |
| <input type="email" placeholder="Your email" class="px-3 py-2 text-gray-800 rounded-l-lg focus:outline-none w-full"> | |
| <button class="bg-awsOrange px-4 rounded-r-lg"><i class="fas fa-paper-plane"></i></button> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="border-t border-gray-700 mt-8 pt-8 text-center text-gray-400"> | |
| <p>© 2023 Amazon Web Services, Inc. All rights reserved.</p> | |
| </div> | |
| </div> | |
| </footer> | |
| <!-- AI Assistant --> | |
| <div class="assistant-container"> | |
| <div class="assistant-chat" id="assistant-chat"> | |
| <div class="chat-header"> | |
| <span>DeepSeek AI Assistant</span> | |
| <button onclick="toggleChat()" class="text-white"> | |
| <i class="fas fa-times"></i> | |
| </button> | |
| </div> | |
| <div class="chat-messages" id="chat-messages"> | |
| <div class="message assistant-message"> | |
| Hello! I'm your AWS Generative AI assistant. How can I help you today? You can ask me about: | |
| <ul class="list-disc pl-5 mt-2"> | |
| <li>Specific success stories</li> | |
| <li>Use cases for your industry</li> | |
| <li>Technical implementation details</li> | |
| <li>New potential applications</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="chat-input"> | |
| <input type="text" id="user-input" placeholder="Ask about AWS Generative AI..." onkeypress="handleKeyPress(event)"> | |
| <button onclick="sendMessage()"> | |
| <i class="fas fa-paper-plane"></i> | |
| </button> | |
| </div> | |
| </div> | |
| <div class="assistant-button" onclick="toggleChat()"> | |
| <i class="fas fa-robot text-2xl"></i> | |
| </div> | |
| </div> | |
| <!-- Story Data and Script --> | |
| <script> | |
| // Story data | |
| const stories = [ | |
| { | |
| id: 1, | |
| title: "HealthGenius: Accelerating Drug Discovery", | |
| industry: "healthcare", | |
| summary: "Reduced drug discovery time by 40% using generative molecular design", | |
| logo: "https://via.placeholder.com/150x80?text=HealthGenius", | |
| challenge: "Traditional drug discovery processes were time-consuming and expensive, often taking years to identify promising compounds.", | |
| solution: "Implemented AWS Bedrock with custom generative models to explore molecular combinations and predict effectiveness.", | |
| results: [ | |
| "40% reduction in discovery time", | |
| "28% increase in viable candidates", | |
| "$15M annual cost savings" | |
| ], | |
| services: ["Amazon Bedrock", "Amazon SageMaker", "AWS Batch"], | |
| keywords: ["drug discovery", "molecular design", "healthcare", "pharmaceutical", "biology"] | |
| }, | |
| { | |
| id: 2, | |
| title: "Finova: AI-Powered Fraud Detection", | |
| industry: "finance", | |
| summary: "Reduced false positives by 65% while identifying 30% more fraud", | |
| logo: "https://via.placeholder.com/150x80?text=Finova", | |
| challenge: "Existing fraud detection systems generated too many false positives, creating operational inefficiencies.", | |
| solution: "Deployed generative adversarial networks (GANs) on AWS to create synthetic fraud patterns for training.", | |
| results: [ | |
| "65% reduction in false positives", | |
| "30% increase in fraud detection", | |
| "98.7% accuracy rate" | |
| ], | |
| services: ["Amazon SageMaker", "AWS Lambda", "Amazon Fraud Detector"], | |
| keywords: ["fraud detection", "financial services", "GANs", "banking", "security"] | |
| }, | |
| { | |
| id: 3, | |
| title: "StyleHub: Virtual Stylist Assistant", | |
| industry: "retail", | |
| summary: "Increased conversion by 22% with AI-powered fashion recommendations", | |
| logo: "https://via.placeholder.com/150x80?text=StyleHub", | |
| challenge: "Online shoppers struggled to find coordinated outfits, leading to low conversion and high returns.", | |
| solution: "Built a generative AI stylist using Amazon Lex and computer vision to create personalized outfits.", | |
| results: [ | |
| "22% increase in conversion", | |
| "15% reduction in returns", | |
| "4.8/5 customer satisfaction" | |
| ], | |
| services: ["Amazon Lex", "Amazon Rekognition", "Amazon Personalize"], | |
| keywords: ["retail", "fashion", "recommendations", "e-commerce", "personalization"] | |
| }, | |
| { | |
| id: 4, | |
| title: "AutoMech: Generative Design Optimization", | |
| industry: "manufacturing", | |
| summary: "Reduced material waste by 18% with AI-generated designs", | |
| logo: "https://via.placeholder.com/150x80?text=AutoMech", | |
| challenge: "Traditional mechanical design processes were inefficient and resulted in material waste.", | |
| solution: "Implemented generative design algorithms on AWS to optimize part geometries for strength and material use.", | |
| results: [ | |
| "18% material reduction", | |
| "25% faster production", | |
| "ROI in 6 months" | |
| ], | |
| services: ["Amazon SageMaker", "AWS Batch", "Amazon EC2 Spot Instances"], | |
| keywords: ["manufacturing", "generative design", "engineering", "3D modeling", "optimization"] | |
| }, | |
| { | |
| id: 5, | |
| title: "StreamNation: Personalized Content Creation", | |
| industry: "media", | |
| summary: "Increased engagement by 35% with AI-generated content variations", | |
| logo: "https://via.placeholder.com/150x80?text=StreamNation", | |
| challenge: "Needed to create personalized content variations at scale for different audience segments.", | |
| solution: "Used AWS generative AI services to automatically create localized and personalized content versions.", | |
| results: [ | |
| "35% increase in engagement", | |
| "50% faster content localization", | |
| "3x more content variations" | |
| ], | |
| services: ["Amazon Bedrock", "Amazon Polly", "Amazon Transcribe"], | |
| keywords: ["media", "content creation", "personalization", "entertainment", "localization"] | |
| }, | |
| { | |
| id: 6, | |
| title: "MediCare AI: Diagnostic Assistance", | |
| industry: "healthcare", | |
| summary: "Improved diagnostic accuracy by 27% with AI co-pilot", | |
| logo: "https://via.placeholder.com/150x80?text=MediCare+AI", | |
| challenge: "Doctors needed assistance interpreting complex medical imaging while maintaining accuracy.", | |
| solution: "Developed a generative AI assistant that suggests diagnoses based on imaging and patient history.", | |
| results: [ | |
| "27% improvement in diagnostic accuracy", | |
| "40% faster preliminary reports", | |
| "Reduced physician burnout" | |
| ], | |
| services: ["Amazon HealthLake", "Amazon SageMaker", "Amazon Textract"], | |
| keywords: ["healthcare", "diagnostics", "medical imaging", "radiology", "AI assistant"] | |
| } | |
| ]; | |
| // AI Assistant Knowledge Base | |
| const assistantKnowledge = { | |
| greetings: [ | |
| "Hello! I'm here to help you explore AWS Generative AI success stories and potential use cases.", | |
| "Hi there! Ask me anything about AWS Generative AI implementations across industries.", | |
| "Welcome! I can provide details about successful AWS AI projects and suggest new applications." | |
| ], | |
| capabilities: [ | |
| "I can analyze the success stories in our database to find relevant examples for your needs.", | |
| "I can suggest potential use cases based on your industry and business challenges.", | |
| "I can explain technical aspects of AWS Generative AI services and their implementations.", | |
| "I can compare different approaches used across various industries." | |
| ], | |
| services: { | |
| "Amazon Bedrock": "A fully managed service that makes foundation models (FMs) from Amazon and leading AI startups available through an API. Bedrock offers a choice of high-performing FMs that you can use standalone or customize with your data.", | |
| "Amazon SageMaker": "A fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process.", | |
| "Amazon Lex": "A service for building conversational interfaces into any application using voice and text. Lex provides advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU)." | |
| }, | |
| useCases: { | |
| healthcare: [ | |
| "Drug discovery and molecular design", | |
| "Medical imaging analysis and diagnostics", | |
| "Personalized treatment recommendations", | |
| "Clinical trial matching and optimization", | |
| "Medical documentation automation" | |
| ], | |
| finance: [ | |
| "Fraud detection and prevention", | |
| "Personalized financial advice", | |
| "Risk assessment modeling", | |
| "Document processing and analysis", | |
| "Algorithmic trading strategies" | |
| ], | |
| retail: [ | |
| "Personalized product recommendations", | |
| "Virtual shopping assistants", | |
| "Inventory optimization", | |
| "Dynamic pricing models", | |
| "Visual search and product discovery" | |
| ], | |
| manufacturing: [ | |
| "Generative design for parts optimization", | |
| "Predictive maintenance", | |
| "Supply chain optimization", | |
| "Quality control automation", | |
| "Process optimization" | |
| ], | |
| media: [ | |
| "Content personalization", | |
| "Automated content generation", | |
| "Voice synthesis and dubbing", | |
| "Video summarization", | |
| "Interactive storytelling" | |
| ] | |
| }, | |
| newIdeas: [ | |
| "Consider using generative AI for automated report generation in your business intelligence workflows.", | |
| "Generative design could optimize your physical product layouts or packaging solutions.", | |
| "AI-powered content moderation could help scale your user-generated content platforms.", | |
| "Personalized learning paths using generative AI could transform your training programs.", | |
| "Automated code generation could accelerate your software development lifecycle." | |
| ] | |
| }; | |
| // Function to render stories | |
| function renderStories(filter = 'all') { | |
| const container = document.getElementById('stories-container'); | |
| container.innerHTML = ''; | |
| const filteredStories = filter === 'all' | |
| ? stories | |
| : stories.filter(story => story.industry === filter); | |
| filteredStories.forEach(story => { | |
| const card = document.createElement('div'); | |
| card.className = 'card-hover bg-white rounded-xl overflow-hidden shadow-md fade-in'; | |
| card.innerHTML = ` | |
| <div class="h-48 bg-gray-100 flex items-center justify-center"> | |
| <img src="${story.logo}" alt="${story.title}" class="max-h-20"> | |
| </div> | |
| <div class="p-6"> | |
| <span class="inline-block px-3 py-1 text-xs font-semibold rounded-full ${getIndustryColor(story.industry)} text-white mb-2"> | |
| ${capitalizeFirstLetter(story.industry)} | |
| </span> | |
| <h3 class="text-xl font-bold mb-2">${story.title}</h3> | |
| <p class="text-gray-600 mb-4">${story.summary}</p> | |
| <button onclick="openModal(${story.id})" class="text-awsOrange font-medium flex items-center"> | |
| Read full case study <i class="fas fa-arrow-right ml-2"></i> | |
| </button> | |
| </div> | |
| `; | |
| container.appendChild(card); | |
| }); | |
| } | |
| // Filter function | |
| function filterStories(industry) { | |
| renderStories(industry); | |
| // Update active button state | |
| document.querySelectorAll('#stories button').forEach(btn => { | |
| if (btn.textContent.toLowerCase().includes(industry) || | |
| (industry === 'all' && btn.textContent === 'All Industries')) { | |
| btn.classList.remove('bg-white', 'border', 'border-gray-300'); | |
| btn.classList.add('bg-awsOrange', 'text-white'); | |
| } else { | |
| btn.classList.remove('bg-awsOrange', 'text-white'); | |
| btn.classList.add('bg-white', 'border', 'border-gray-300'); | |
| } | |
| }); | |
| } | |
| // Helper functions | |
| function capitalizeFirstLetter(string) { | |
| return string.charAt(0).toUpperCase() + string.slice(1); | |
| } | |
| function getIndustryColor(industry) { | |
| const colors = { | |
| healthcare: 'bg-blue-600', | |
| finance: 'bg-green-600', | |
| retail: 'bg-purple-600', | |
| manufacturing: 'bg-yellow-600', | |
| media: 'bg-red-600' | |
| }; | |
| return colors[industry] || 'bg-gray-600'; | |
| } | |
| // Modal functions | |
| function openModal(storyId) { | |
| const story = stories.find(s => s.id === storyId); | |
| if (!story) return; | |
| const modal = document.createElement('div'); | |
| modal.className = 'fixed inset-0 bg-black bg-opacity-75 flex items-center justify-center p-4 z-50'; | |
| modal.innerHTML = ` | |
| <div class="bg-white rounded-xl max-w-4xl w-full max-h-[90vh] overflow-y-auto"> | |
| <div class="sticky top-0 bg-white p-4 border-b flex justify-between items-center"> | |
| <h3 class="text-2xl font-bold">${story.title}</h3> | |
| <button onclick="closeModal()" class="text-gray-500 hover:text-gray-700"> | |
| <i class="fas fa-times text-2xl"></i> | |
| </button> | |
| </div> | |
| <div class="p-8"> | |
| <div class="flex flex-wrap items-center mb-6"> | |
| <span class="inline-block px-3 py-1 text-sm font-semibold rounded-full ${getIndustryColor(story.industry)} text-white mr-4"> | |
| ${capitalizeFirstLetter(story.industry)} | |
| </span> | |
| <div class="flex items-center text-gray-500"> | |
| <i class="fas fa-building mr-2"></i> | |
| <span>${story.title.split(':')[0]}</span> | |
| </div> | |
| </div> | |
| <div class="grid md:grid-cols-3 gap-8 mb-8"> | |
| <div class="md:col-span-2"> | |
| <h4 class="text-xl font-bold mb-4 text-awsDark">The Challenge</h4> | |
| <p class="text-gray-700 mb-6">${story.challenge}</p> | |
| <h4 class="text-xl font-bold mb-4 text-awsDark">The Solution</h4> | |
| <p class="text-gray-700 mb-6">${story.solution}</p> | |
| <h4 class="text-xl font-bold mb-4 text-awsDark">AWS Services Used</h4> | |
| <div class="flex flex-wrap gap-2 mb-6"> | |
| ${story.services.map(service => ` | |
| <span class="px-3 py-1 bg-gray-100 rounded-full text-sm">${service}</span> | |
| `).join('')} | |
| </div> | |
| </div> | |
| <div class="bg-gray-50 p-6 rounded-lg"> | |
| <h4 class="text-xl font-bold mb-4 text-awsDark">Key Results</h4> | |
| <ul class="space-y-3"> | |
| ${story.results.map(result => ` | |
| <li class="flex items-start"> | |
| <i class="fas fa-check-circle text-green-500 mt-1 mr-3"></i> | |
| <span>${result}</span> | |
| </li> | |
| `).join('')} | |
| </ul> | |
| <div class="mt-8"> | |
| <h4 class="text-lg font-bold mb-3">Ready to get started?</h4> | |
| <a href="#contact" onclick="closeModal()" class="inline-block bg-awsOrange hover:bg-yellow-600 text-white font-bold py-2 px-6 rounded-lg transition"> | |
| Contact Us | |
| </a> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="border-t pt-6"> | |
| <p class="text-gray-500 text-sm">Disclaimer: Results may vary based on specific use cases and implementations.</p> | |
| </div> | |
| </div> | |
| </div> | |
| `; | |
| document.body.appendChild(modal); | |
| document.body.style.overflow = 'hidden'; | |
| } | |
| function closeModal() { | |
| const modal = document.querySelector('.fixed.inset-0'); | |
| if (modal) { | |
| modal.remove(); | |
| document.body.style.overflow = ''; | |
| } | |
| } | |
| // AI Assistant Functions | |
| function toggleChat() { | |
| const chat = document.getElementById('assistant-chat'); | |
| chat.style.display = chat.style.display === 'flex' ? 'none' : 'flex'; | |
| } | |
| function handleKeyPress(e) { | |
| if (e.key === 'Enter') { | |
| sendMessage(); | |
| } | |
| } | |
| function sendMessage() { | |
| const input = document.getElementById('user-input'); | |
| const message = input.value.trim(); | |
| if (message) { | |
| addMessage(message, 'user'); | |
| input.value = ''; | |
| // Show typing indicator | |
| const messagesContainer = document.getElementById('chat-messages'); | |
| const typingIndicator = document.createElement('div'); | |
| typingIndicator.className = 'typing-indicator'; | |
| typingIndicator.innerHTML = ` | |
| <div class="typing-dot"></div> | |
| <div class="typing-dot"></div> | |
| <div class="typing-dot"></div> | |
| `; | |
| messagesContainer.appendChild(typingIndicator); | |
| messagesContainer.scrollTop = messagesContainer.scrollHeight; | |
| // Simulate thinking time | |
| setTimeout(() => { | |
| // Remove typing indicator | |
| messagesContainer.removeChild(typingIndicator); | |
| // Generate response | |
| const response = generateResponse(message); | |
| addMessage(response, 'assistant'); | |
| }, 1000 + Math.random() * 2000); | |
| } | |
| } | |
| function addMessage(text, sender) { | |
| const messagesContainer = document.getElementById('chat-messages'); | |
| const messageElement = document.createElement('div'); | |
| messageElement.className = `message ${sender}-message`; | |
| messageElement.textContent = text; | |
| messagesContainer.appendChild(messageElement); | |
| messagesContainer.scrollTop = messagesContainer.scrollHeight; | |
| } | |
| function generateResponse(message) { | |
| const lowerMessage = message.toLowerCase(); | |
| // Check for greetings | |
| if (lowerMessage.includes('hello') || lowerMessage.includes('hi') || lowerMessage.includes('hey')) { | |
| return assistantKnowledge.greetings[Math.floor(Math.random() * assistantKnowledge.greetings.length)]; | |
| } | |
| // Check for capabilities question | |
| if (lowerMessage.includes('what can you do') || lowerMessage.includes('help') || lowerMessage.includes('capabilities')) { | |
| return assistantKnowledge.capabilities.join('\n'); | |
| } | |
| // Check for specific service questions | |
| for (const service in assistantKnowledge.services) { | |
| if (lowerMessage.includes(service.toLowerCase()) || lowerMessage.includes(service.split(' ')[1].toLowerCase())) { | |
| return `${service}: ${assistantKnowledge.services[service]}`; | |
| } | |
| } | |
| // Check for industry-specific questions | |
| for (const industry in assistantKnowledge.useCases) { | |
| if (lowerMessage.includes(industry)) { | |
| return `Common ${industry} use cases for AWS Generative AI:\n- ${assistantKnowledge.useCases[industry].join('\n- ')}`; | |
| } | |
| } | |
| // Check for new ideas | |
| if (lowerMessage.includes('new') || lowerMessage.includes('idea') || lowerMessage.includes('suggest')) { | |
| return "Here are some innovative ways to use AWS Generative AI:\n- " + | |
| assistantKnowledge.newIdeas.join('\n- '); | |
| } | |
| // Try to find matching success stories | |
| const matchingStories = stories.filter(story => | |
| story.keywords.some(keyword => lowerMessage.includes(keyword)) || | |
| story.title.toLowerCase().includes(lowerMessage) || | |
| story.industry.toLowerCase().includes(lowerMessage) | |
| ); | |
| if (matchingStories.length > 0) { | |
| if (matchingStories.length === 1) { | |
| const story = matchingStories[0]; | |
| return `For ${story.title}, ${story.summary}. The company used ${story.services.join(', ')} to ${story.solution.toLowerCase()}. Key results included ${story.results.join(', ')}. Would you like more details about this case?`; | |
| } else { | |
| return `I found ${matchingStories.length} relevant success stories:\n` + | |
| matchingStories.map(story => `- ${story.title} (${story.industry}): ${story.summary}`).join('\n') + | |
| `\nWould you like details on any of these?`; | |
| } | |
| } | |
| // Default response if nothing matches | |
| return "I'm not sure I understand. Could you rephrase your question? I can help with:\n" + | |
| "- Specific success story details\n" + | |
| "- Use cases for your industry\n" + | |
| "- Technical implementation questions\n" + | |
| "- New application ideas"; | |
| } | |
| // Initialize | |
| document.addEventListener('DOMContentLoaded', () => { | |
| renderStories(); | |
| // Smooth scrolling for anchor links | |
| document.querySelectorAll('a[href^="#"]').forEach(anchor => { | |
| anchor.addEventListener('click', function (e) { | |
| e.preventDefault(); | |
| const targetId = this.getAttribute('href'); | |
| if (targetId === '#') return; | |
| const targetElement = document.querySelector(targetId); | |
| if (targetElement) { | |
| window.scrollTo({ | |
| top: targetElement.offsetTop - 80, | |
| behavior: 'smooth' | |
| }); | |
| } | |
| }); | |
| }); | |
| // Form submission | |
| const contactForm = document.getElementById('contact-form'); | |
| if (contactForm) { | |
| contactForm.addEventListener('submit', function(e) { | |
| e.preventDefault(); | |
| alert('Thank you for your interest! Our team will contact you shortly.'); | |
| this.reset(); | |
| }); | |
| } | |
| }); | |
| </script> | |
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