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spar-ics-ai-inventory-prediction-food-waste
Resources
⭐️
How SPAR ICS Achieved 90% Inventory Prediction Accuracy and Reduced Food Waste with AI
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SPAR ICS partnered with Microsoft to develop AI-enabled demand forecasting and supply chain optimization tools, improving inventory accuracy, reducing unsold goods, and accelerating delivery times to stores.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Predictive Modeling
NLP
Client Satisfaction
See Details
tubik-studio-ai-fashion-design-tools
Resources
⭐️
How Tubik Studio Streamlined Fashion Design with AI-Powered Tools
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Tubik Studio developed AI-powered fashion design services that enable designers to create mood boards, access trend data, and generate custom illustrations, enhancing ideation and branding workflows.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Predictive Modeling
NLP
Client Satisfaction
See Details
designco-ai-powered-creativity-scalability
Resources
⭐️
How DesignCo Enhanced Creativity and Scalability with AI-Powered Design Tools
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DesignCo adopted AI tools to automate repetitive design tasks, analyze user data, and generate multiple design options, improving design quality, creativity, and project delivery speed.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Time-Saving
See Details
brightideas-ai-task-automation-project-capacity
Resources
⭐️
How BrightIdeas Automated 40% of Tasks and Doubled Project Capacity with AI
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BrightIdeas, a small Austin creative agency, integrated generative AI and automation to streamline workflows, automate 40% of routine tasks, generate 200+ unique design concepts monthly, and scale project capacity from 10 to 25 concurrent projects.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
LLM
See Details
eigen-ai-risk-assessment-efficiency-finance
Resources
⭐️
How Financial Institutions Improved Risk Assessment Efficiency by 45% Using Eigen Technologies
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Financial institutions leveraged Eigen Technologies’ AI platform to scan legal documents and regulatory filings, improving risk assessment efficiency and reducing regulatory penalties.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Predictive Modeling
See Details
bloomberg-law-data-privacy-risk-compliance
Resources
⭐️
How Bloomberg Law Reduced Risk Exposure by Helping Corporations Comply with Data Privacy Laws
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Bloomberg Law uses AI with NLP and predictive analytics to provide real-time updates on evolving data privacy laws, helping multinational corporations reduce compliance risks.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Real-Time Processing
Computer Vision
See Details
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Resources
⭐️
How DoNotPay Automated Legal Services to Appeal Over $4 Million in Fines
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DoNotPay uses chatbots and natural language processing to automate legal tasks such as disputing parking tickets, filing small claims, and generating legal documents, making legal services affordable and accessible.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
See Details
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Resources
⭐️
How eBay Processed Contracts 10x Faster and Reduced Legal Workloads with LawGeex AI
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eBay implemented LawGeex’s AI-powered contract review platform to automate the review of NDAs, vendor agreements, and business contracts, increasing operational efficiency and reducing legal team workloads.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Autonomous Agent
Real-Time Processing
See Details
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Resources
⭐️
How ITI Foundation Automated Document Processing with Microsoft AI to Improve Decision-Making
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ITI Foundation leveraged Microsoft’s Document Intelligence API to extract and structure data from large volumes of unstructured, non-standardized documents, creating a fully automated pipeline that enhanced data accessibility and analytics efficiency.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Cost Reduction
See Details
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Resources
⭐️
How ALG Senior Unified Data to Drive Targeted Actions Across 100+ Communities
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ALG Senior launched an enterprise data warehouse unifying clinical, financial, and sales data from multiple systems, enabling data visualization as storytelling to provide precise, actionable insights for its assisted and independent living communities.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
See Details
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Resources
⭐️
How United Methodist Communities Boosted Transparency and Efficiency with AI Analytics
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United Methodist Communities implemented an AI-powered analytics platform to improve operational insights, increase transparency, and enhance productivity across its organization.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Deep Learning
See Details
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Resources
⭐️
How Parker Health Group Improved Decision-Making with a Data Analytics Platform
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Parker Health Group deployed a data analytics platform across its five New Jersey residential communities, enabling wider data access and empowering data-driven decisions organization-wide.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
See Details
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Resources
⭐️
How Beacon Health Management Automated Turnover Analytics to Save 10 Hours Monthly
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Beacon Health Management automated its turnover analytics process using CareWork’s platform, enabling weekly benchmarking and trend spotting to reduce staff turnover and save 8-10 hours monthly.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
NLP
See Details
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Resources
⭐️
How DG MARE Increased Productivity and Accelerated Cloud Migration Using Generative AI
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The European Commission’s DG MARE leveraged generative AI to accelerate the migration of its IT applications to the cloud, improving productivity and enabling integrated data analytics for sustainable fisheries management.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
See Details
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Resources
⭐️
How SDAIA Delivered SR50 Billion in Value by Transforming Saudi Arabia with Data and AI
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SDAIA, with Accenture, accelerated Saudi Arabia’s digital transformation by establishing national data and AI regulations, building a national data bank, and deploying AI solutions across government, delivering SR50 billion in value and training over 45,000 professionals.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Team Efficiency
See Details
bbva-ai-customer-growth-digital-sales
Resources
⭐️
How BBVA Achieved 117% Customer Growth and 70% Digital Sales with AI
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BBVA partnered with Accenture to reinvent itself as a customer-centric digital bank, leveraging cloud, data, and AI to drive record growth in digital interactions and sales. Nearly 50 million customers now use digital channels, and 70% of sales are made digitally, with onboarding times reduced to minutes.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Time-Saving
See Details
zillow-ai-ml-real-time-home-valuations
Resources
⭐️
How Zillow Uses AI and Machine Learning to Deliver Highly Accurate Real-Time Home Valuations
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Zillow uses advanced AI and machine learning models to analyze millions of data points (public records, tax assessments, MLS data, images) to generate real-time home value estimates ("Zestimates") with high accuracy. AI also powers photo analysis for more precise valuations and search recommendations.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
NLP
Computer Vision
See Details
youtube-ai-content-moderation-recommendations
Resources
⭐️
How YouTube Uses AI for Content Moderation and Personalized Recommendations
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YouTube (Google) uses AI for automated content moderation, detecting and removing policy-violating videos at scale. AI also powers personalized recommendations and analyzes viewer sentiment to improve engagement.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Deep Learning
Recommendation Engine
See Details
world-wildlife-fund-ai-endangered-species-poaching
Resources
⭐️
How World Wildlife Fund Uses AI to Track Endangered Species and Combat Poaching
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WWF applies AI-driven computer vision and predictive analytics to analyze GPS and satellite data, tracking endangered species and identifying poaching hotspots for targeted intervention.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Computer Vision
Predictive Modeling
Enhanced Decision-Making
See Details
woebot-ai-chatbot-cbt-anxiety-depression
Resources
⭐️
How Woebot Uses AI Chatbot to Deliver Accessible Cognitive Behavioral Therapy and Reduce Anxiety and Depression Symptoms
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Woebot is an AI chatbot delivering Cognitive Behavioral Therapy (CBT) via natural language processing and machine learning, simulating supportive conversations to help users manage anxiety and depression. It provides immediate, accessible mental health support through mobile and web interfaces.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Machine Learning
Client Satisfaction
See Details
wilmerhale-casetext-cara-ai-legal-brief-accuracy
Resources
⭐️
How WilmerHale Uses Casetext CARA AI to Reduce Legal Brief Preparation Time and Improve Accuracy
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WilmerHale implemented Casetext’s CARA AI, which applies NLP and legal AI algorithms to compare legal briefs, judicial opinions, and case citations, suggesting stronger arguments and relevant precedents, significantly reducing brief preparation time while improving accuracy.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Machine Learning
Time-Saving
See Details
warner-bros-cinelytic-ai-movie-forecast-greenlighting
Resources
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How Warner Bros. Uses Cinelytic AI to Forecast Movie Success and Optimize Greenlighting
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Warner Bros. uses Cinelytic’s AI platform to forecast movie success, optimize release strategies, and evaluate scripts for greenlighting. The AI analyzes historical data, audience trends, and market variables to support investment decisions.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Predictive Modeling
Enhanced Decision-Making
Analytics Dashboard
See Details
vanguard-ai-financial-marketing-regulatory-challenges
Resources
⭐️
How Vanguard Institutional Overcame Regulatory Challenges to Deliver Distinctive AI-Powered Financial Marketing
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Vanguard Institutional used Persado’s AI platform to create compliant, persuasive marketing content that adheres to strict financial regulations. AI-generated messaging improved conversion rates by 15%, helping Vanguard stand out in a highly regulated market.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
Cost Reduction
See Details
university-sydney-smart-sparrow-ai-adaptive-learning
Resources
⭐️
How University of Sydney Uses “Smart Sparrow” AI Platform for Adaptive Learning
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University of Sydney adopted “Smart Sparrow,” an AI platform enabling professors to design adaptive coursework that responds in real time to individual student performance, increasing engagement and academic outcomes.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Enhanced Decision-Making
Client Satisfaction
See Details
university-alicante-help-me-see-ai-visual-assistance
Resources
⭐️
How University of Alicante Developed “Help Me See” AI App to Assist Visually Impaired Students
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The University of Alicante developed “Help Me See,” an AI-powered mobile app using computer vision and machine learning to assist visually impaired students with campus navigation and object/text recognition, enhancing accessibility and independence.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Computer Vision
Machine Learning
Client Satisfaction
See Details
unilever-ai-video-interview-recruitment-diversity
Resources
⭐️
How Unilever Uses AI-Powered Video Interview Platform to Streamline Recruitment and Increase Diversity
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Unilever deployed an AI-powered video interview and automated screening platform to process 250,000 applications annually. The system assesses communication, problem-solving, cultural fit, and technical skills, automates scheduling and evaluation, standardizing candidate assessments and reducing hiring time.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Computer Vision
Time-Saving
See Details
ubisoft-ai-game-character-behavior-procedural-content
Resources
⭐️
How Ubisoft Uses AI for Game Character Behavior and Procedural Content Generation
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Ubisoft uses proprietary game AI and ML for NPC behavior, procedural content generation, and realistic animation in games like Assassin’s Creed, creating immersive environments and adaptive gameplay.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
GenAI
Computer Vision
See Details
typeface-microsoft-azure-openai-personalized-content
Resources
⭐️
How Typeface Uses Microsoft Azure OpenAI Service to Accelerate Personalized Content Creation at Scale
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Typeface utilizes Microsoft Azure OpenAI Service, Azure Machine Learning, and its proprietary Affinity AI technology to create brand-specific images and content rapidly. The platform ingests brand style guidelines, images, and product details to generate tailored marketing messages and visuals for social media and digital campaigns, reducing time and costs for content production.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
LLM
Computer Vision
See Details
tomorrow-sleep-marketmuse-ai-seo-content-traffic
Resources
⭐️
How Tomorrow Sleep Improved Organic Traffic and SEO with MarketMuse AI Content Intelligence
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Tomorrow Sleep used MarketMuse’s AI content intelligence platform to optimize its content strategy, improving organic search performance and content quality.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
Improved Accuracy
See Details
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Resources
⭐️
How Thomson Reuters Uses Westlaw Edge AI to Automate Legal Drafting and Research
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Thomson Reuters integrated generative AI tools into Westlaw Edge and other platforms to automate contract drafting, legal research, and document review. These AI solutions improve accuracy, speed workflows, and help legal professionals manage complex documents efficiently.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
LLM
NLP
GenAI
See Details
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Resources
⭐️
How Tarjimly Uses AI-Powered Translation to Break Language Barriers for Refugees
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Tarjimly employs Google Cloud Vertex AI and natural language processing to provide real-time translation services, improving access to vital resources for refugees and asylum seekers.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Multi-Language Support
Client Satisfaction
See Details
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Resources
⭐️
How Studio Rx Boosted Production and Creativity with Adobe Firefly Custom AI Models
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Studio Rx used Adobe Firefly custom AI models to accelerate content production and enhance creative workflows, enabling faster generation of high-quality visuals and streamlining design processes.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
Computer Vision
Time-Saving
See Details
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Resources
⭐️
How Strucinspect Uses AI and Photogrammetry to Digitally Inspect Infrastructure and Create BIM Models
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Strucinspect developed an AI-based inspection platform focused on concrete structures like bridges, using photogrammetry and computer vision to create digital twins and IFC-compliant BIM models. The platform detects, classifies, and documents structural damage with high accuracy, enabling safer, more efficient inspections and lifecycle management.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Computer Vision
Machine Learning
Improved Accuracy
See Details
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Resources
⭐️
How Stick Shift Driving Academy Increased Organic Traffic by 72% and Inbound Calls by 120% Using MarketMuse AI
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Stick Shift Driving Academy, a niche driving school teaching manual transmission, partnered with MarketMuse’s AI-powered content intelligence platform to increase publishing cadence, eliminate subjective content decisions, and identify critical topic coverage. This enabled the academy to produce high-quality, optimized content rapidly, driving significant growth in organic traffic and inbound inquiries.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
NLP
Enhanced Decision-Making
See Details
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⭐️
How Starbucks Uses Deep Brew AI to Deliver Personalized Customer Experiences and Optimize Operations
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Starbucks deployed Deep Brew, its proprietary AI platform built on Microsoft Azure, to analyze customer data from its app and loyalty program. Deep Brew personalizes marketing, optimizes store labor allocation, manages inventory, and enhances customer engagement, driving loyalty and operational efficiency.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Enhanced Decision-Making
Client Satisfaction
See Details
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⭐️
How Spotify Uses AI to Deliver Personalized Playlists and Enhance User Engagement
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Spotify leverages proprietary ML and NLP to generate personalized playlists (e.g., Discover Weekly), analyze listening habits, and automate music recommendations. AI also powers podcast transcription and content moderation.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
NLP
Recommendation Engine
See Details
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⭐️
How Slaughter and May Uses Luminance AI to Accelerate Due Diligence and M&A Transactions
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Slaughter and May adopted Luminance AI, which uses NLP and contract automation to extract key clauses and terms from contracts, accelerating due diligence processes in mergers and acquisitions by improving risk assessment and compliance checks.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Machine Learning
Time-Saving
See Details
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⭐️
How Skyline AI Uses Big Data and Machine Learning to Improve Commercial Real Estate Investment Decisions
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Skyline AI’s platform analyzes data from 400,000+ assets using predictive analytics and machine learning to identify market trends and investment opportunities.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Enhanced Decision-Making
See Details
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⭐️
How Skanska’s Project HALO Uses AI-Powered Robotics to Automate Labor-Intensive Construction Tasks
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Skanska’s Project HALO deploys AI-powered robots for tasks such as bricklaying and concrete pouring, increasing speed and precision while reducing risk to human workers. The project integrates robotics, automation, and computer vision to improve construction safety and efficiency.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Computer Vision
Autonomous Agent
Time-Saving
See Details
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⭐️
How Shanghai Tower Integrates AI for Energy Optimization, Safety, and Real-Time Monitoring
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Shanghai Tower uses AI-powered sensors, cameras, and predictive analytics throughout design, construction, and operation phases to optimize energy use, ensure structural safety, and monitor building performance in real time.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Computer Vision
Real-Time Processing
Improved Accuracy
See Details
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⭐️
How Sephora Increased In-Store Makeover Bookings by 11% with AI Chatbot-Driven Interactive Quiz
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Sephora implemented a chatbot-driven interactive quiz on Facebook Messenger acting as a digital beauty consultant, providing personalized product recommendations and booking in-store makeover appointments.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Client Satisfaction
Marketing Teams
See Details
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Resources
⭐️
How Rupp Pfalzgraf Increased Case Workload by 10% Using Lexis+ AI for Legal Research and Drafting
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Rupp Pfalzgraf, a dynamic multi-practice law firm, adopted Lexis+ AI, a generative AI platform for legal research, drafting, and insights. The firm achieved significant efficiency gains, increasing case workload capacity by 10% without adding staff, reducing research time drastically, and enhancing client service.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
LLM
NLP
GenAI
See Details
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⭐️
How Rotten Tomatoes Uses AI and NLP to Automate Audience Scores for Movies
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Rotten Tomatoes leverages machine learning and NLP to analyze millions of user reviews, automatically assigning audience scores for movies. This creates a data-driven, efficient, and scalable scoring system that reflects real-time viewer sentiment.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
NLP
See Details
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⭐️
How Redfin Uses Machine Learning to Provide Accurate Property Appraisals
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Redfin implemented an ML-powered appraisal system estimating market value for properties using 500+ metrics, including buyer demand and neighborhood prices.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Improved Accuracy
Time-Saving
See Details
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⭐️
How RedBalloon Reduced Marketing Costs by Over 40% Using Albert AI
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RedBalloon adopted Albert AI’s autonomous digital marketing platform to analyze campaign data and optimize marketing spend, unlocking hidden insights and reducing overall costs by more than 40%.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Enhanced Decision-Making
Cost Reduction
See Details
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⭐️
How RE/MAX Uses AI to Personalize Property Recommendations and Improve Buyer Satisfaction
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RE/MAX developed an AI-driven recommendation system analyzing user preferences and search behavior to dynamically suggest properties, optimizing the search process.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Recommendation Engine
Client Satisfaction
See Details
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⭐️
How PNC Bank Used AI-Powered LegalVIEW BillAnalyzer to Increase Billing Guideline Compliance and Streamline Legal Bill Review
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PNC Bank implemented ELM Solutions’ LegalVIEW BillAnalyzer, an AI and machine learning platform that automates legal bill review by analyzing invoices for compliance with billing guidelines. The solution combines deep domain expertise with AI to reduce costs, improve data quality, and strengthen collaboration with law firms and vendors.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Cost Reduction
Time-Saving
See Details
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⭐️
How Paradiso Learning Uses AI Chatbot to Automate Support and Enhance Learner Engagement
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Paradiso Learning integrated an AI-powered chatbot into its LMS to automate responses, provide real-time coaching support, streamline scheduling, and handle 80% of routine inquiries, improving learner engagement and reducing staff workload.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
Scalability
See Details
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⭐️
How Oxford VR Combines AI and Virtual Reality to Improve PTSD Treatment
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Oxford VR developed AI-powered virtual reality therapy combining immersive environments with adaptive AI to tailor exposure therapy and monitor patient responses, improving treatment outcomes for PTSD patients.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Computer Vision
Improved Accuracy
See Details
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⭐️
How Otto Achieved 90% Accuracy in Predicting Consumer Purchases with AI
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Otto, an ecommerce company, uses deep learning algorithms to predict consumer purchases with 90% accuracy, enabling automated purchasing and reducing annual returns by $2 million.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Deep Learning
Predictive Modeling
Improved Accuracy
See Details
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⭐️
How Optimove Uses AI to Analyze Customer Behavior and Optimize Marketing Campaigns
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Optimove employs AI-driven predictive customer modeling to analyze behavior and optimize marketing campaigns, improving customer retention, lifetime value, and campaign performance through data-driven insights.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Enhanced Decision-Making
See Details
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⭐️
How Omneky Revolutionizes Advertising with AI-Powered Creative Generation and Optimization
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Omneky uses AI to generate thousands of personalized ad creatives by audience, location, platform, and product, combining brand assets and performance data. The platform offers centralized campaign management, brand safety, and data-driven insights to optimize ad performance across channels.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Enhanced Decision-Making
Analytics Dashboard
See Details
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⭐️
How Obayashi Corporation’s AiCorb Uses AI to Rapidly Generate Building Facade Designs and Streamline Architectural Workflows
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Obayashi Corporation developed AiCorb, an AI-powered design tool in collaboration with SRI International and Hypar, that rapidly generates multiple building facade designs from hand-sketched drawings and 3D models. AiCorb converts these designs into 3D models integrated with BIM platforms, enabling architects to optimize design iterations, improve site planning, and accelerate consensus-building with clients.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
Computer Vision
Time-Saving
See Details
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⭐️
How Novo Nordisk Used AI-Powered Brand Language Optimization to Boost Email Marketing Performance
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Novo Nordisk implemented Phrasee’s AI-powered brand language optimization technology to rapidly deliver consistent, on-brand content in its US email marketing campaigns, ensuring a cohesive interface with its audience.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Improved Accuracy
Client Satisfaction
See Details
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How New Town High School Uses “Maths Pathway” AI Platform to Personalize Math Instruction
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New Town High School in Australia adopted “Maths Pathway,” an AI-driven platform that continuously assesses student progress and tailors math content to individual learning needs, improving performance and engagement.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Enhanced Decision-Making
Client Satisfaction
See Details
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⭐️
How Netflix Uses AI to Personalize Content Recommendations and Optimize Originals
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Netflix uses proprietary ML and deep learning recommendation engines to analyze user behavior and viewing history, personalizing suggestions for movies and TV shows. AI also optimizes content creation, thumbnails, and predicts original content success.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Deep Learning
Recommendation Engine
See Details
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⭐️
How MYBank Uses AI to Deliver Real-Time Loan Approvals with High Accuracy
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MYBank, an Alibaba-backed digital bank in China, employs AI-powered credit scoring systems analyzing over 3,000 variables to enable real-time loan approvals. The platform automates risk assessment and disburses loans within minutes, facilitating financial inclusion for SMEs and individuals.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Real-Time Processing
Time-Saving
See Details
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⭐️
How Mindstrong Health Uses AI Behavioral Analytics for Early Detection and Intervention in Mental Health
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Mindstrong Health analyzes smartphone usage patterns such as typing speed and app navigation as proxies for cognitive and behavioral health, enabling real-time monitoring and early warning signs for clinicians to intervene proactively.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Real-Time Processing
See Details
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⭐️
How Lenny Learning Uses AI to Help Teachers Assess Student Needs and Generate Personalized Mental Health Lesson Plans
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Lenny Learning uses OpenAI GPT-4o and generative AI to assist teachers in assessing student mental health needs and creating customized lesson plans to address them at scale.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
NLP
Scalability
See Details
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⭐️
How Lemontree Uses AI to Connect Families with Food Support Services Efficiently
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Lemontree uses AI-driven matching algorithms and data science to connect families in need with the closest and best food support services, optimizing referrals and equitable access.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Enhanced Decision-Making
Client Satisfaction
See Details
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⭐️
How L'Oréal Uses AI Chatbot (Mya Platform) to Streamline Recruitment and Enhance Candidate Experience
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L'Oréal implemented the Mya AI chatbot to engage candidates with targeted questions based on analysis of successful employee profiles. The chatbot evaluates candidate responses on content and language, automating screening while maintaining a positive candidate experience.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
HR & People Ops
See Details
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⭐️
How Knock Uses AI to Streamline Home Trade-In Process and Improve Match Rates
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Knock uses AI and predictive analytics to analyze market data and user profiles, efficiently matching buyers and sellers in home trade-in transactions.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Time-Saving
See Details
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⭐️
How JPMorgan Chase Leverages AI Across Banking Operations to Boost Sales, Manage Risks, and Enhance Client Experiences
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JPMorgan Chase integrates AI extensively across legal analysis (COiN platform), credit risk assessment, fraud detection, trading optimization, and wealth management personalization. AI tools improve operational efficiency, reduce default rates, and deliver tailored client services, positioning JPMorgan as an industry AI leader.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Enhanced Decision-Making
Improved Accuracy
See Details
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⭐️
How Jones Day Uses RelativityOne AI to Automate Document Review and Reduce Costs
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Jones Day implemented RelativityOne AI, using machine learning and data mining to automate document review by classifying relevant legal data, drastically reducing manual e-discovery workload and compliance investigation costs.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Time-Saving
Cost Reduction
See Details
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⭐️
How Ivy Tech Community College Uses AI Predictive Analytics to Identify At-Risk Students Early
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Ivy Tech Community College deployed AI-driven predictive analytics to analyze course data and identify students at risk of failing within the first two weeks, enabling targeted interventions that improved student success.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Enhanced Decision-Making
See Details
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⭐️
How International Rescue Committee Implements AI Chatbot to Streamline Refugee Claim Processing
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IRC deployed an AI-powered chatbot using natural language processing to process refugee claims faster and more accurately, improving asylum seeker support.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
Improved Accuracy
See Details
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⭐️
How Influencer Marketing Factory Automated Outreach and Boosted Brand Awareness with Reply.io
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Influencer Marketing Factory used Reply.io’s platform to automate and scale multichannel outreach, resulting in improved media coverage and greater brand awareness through efficient, automated communications.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Time-Saving
Scalability
Sales Teams
See Details
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⭐️
How Ility (Appinventiv) Combines AI, IoT, and Cloud to Automate Commercial Property Management
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Ility is a SaaS platform integrating AI, IoT, and cloud technologies to provide real-time insights, automate infrastructure management, and improve operational efficiency for commercial property owners.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Real-Time Processing
Cost Reduction
See Details
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⭐️
How HSBC Applies AI and Google Cloud to Detect Suspicious Transactions and Combat Money Laundering
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HSBC utilizes AI pattern recognition and Google Cloud AI to detect suspicious transactions beyond traditional rules-based systems. The AI analyzes over 1.2 billion transactions monthly, identifying 2-4 times more suspicious activity and reducing false alerts by 60%, enhancing compliance and fraud prevention.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Enhanced Decision-Making
Improved Accuracy
See Details
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⭐️
How Holding Redlich Permanently Adopted Lexis+ AI to Enhance Legal Research Efficiency
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Holding Redlich, a leading Australian law firm, permanently integrated Lexis+ AI, a generative AI legal research platform from LexisNexis, to streamline and accelerate legal research. The platform offers conversational search, case summarization, intelligent drafting, and document upload, backed by secure encryption and citable authoritative sources.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
LLM
NLP
GenAI
See Details
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⭐️
How HireVire Transformed Recruitment with AI-Powered Video Screening and Automation
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HireVire offers an AI-powered video screening platform that analyzes candidate video responses for multi-dimensional assessment. It supports 90+ languages, automates communications, bulk processes video interviews, integrates with ATS and HRIS, and automates scheduling and follow-ups, providing standardized evaluations and real-time analytics.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Computer Vision
Time-Saving
See Details
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⭐️
How HIAS Uses AI to Predict Donation Success and Improve Refugee Resettlement Outcomes
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HIAS used AI to analyze email campaigns for donation prediction and to evaluate refugee resettlement locations based on language, jobs, and community factors, improving fundraising and employment outcomes.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
Computer Vision
Marketing Teams
See Details
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How Heinz Leveraged DALL·E 2 AI to Reinforce Brand Dominance and Drive Viral Marketing
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Heinz used OpenAI’s DALL·E 2 to generate AI artwork depicting ketchup in various creative contexts without explicit brand prompts. The AI consistently produced images resembling Heinz’s iconic bottle, demonstrating strong brand association and dominance. The campaign engaged audiences with AI-generated visuals, social media interaction, and fan participation, reinforcing Heinz as the definitive ketchup brand.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Enhanced Decision-Making
See Details
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How Harris Federation Uses AI to Manage Teacher Workload and Support Diverse Students
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Harris Federation in the UK implemented AI tools including NLP and curriculum automation to manage teacher workload and ensure curriculum accessibility for students from diverse linguistic backgrounds, including English as an Additional Language (EAL).

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
Improved Accuracy
See Details
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How Gridium Uses Machine Learning and IoT to Optimize Energy Consumption in Commercial Buildings
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Gridium’s ML-based analytics optimize energy consumption and streamline building maintenance, helping clients reduce costs and environmental footprint.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Cost Reduction
See Details
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How Georgia Institute of Technology Uses “Jill Watson” AI Teaching Assistant to Scale Personalized Learning
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Georgia Tech developed “Jill Watson,” an AI-powered teaching assistant built initially on IBM Watson, to automatically answer frequently asked questions in online course forums for large Computer Science classes. The AI assistant was trained on over 40,000 forum posts to provide accurate, timely responses, reducing human TA workload.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
Scalability
See Details
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How Feeding America Uses AI to Optimize Food Distribution and Reduce Waste
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Feeding America uses AI-powered predictive analytics and supply chain optimization to analyze donation, inventory, and demand data, improving food distribution efficiency and reducing waste across its network.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Cost Reduction
See Details
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⭐️
How Euroflorist Increased Website Conversion Rates with AI-Driven Multivariate Testing
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Euroflorist adopted Evolv AI’s platform to conduct multivariate testing and website optimization, improving user experience and increasing conversion rates.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Enhanced Decision-Making
Improved Accuracy
See Details
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How Etsy Uses AI Chatbots to Streamline Customer Service and Support Its Seller Community
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Etsy employs AI chatbots to support its community of buyers and sellers, automating responses to common queries and improving customer service efficiency, enhancing the overall marketplace experience.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
Client Satisfaction
See Details
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How Epsilon Abacus Improved Customer List Accuracy and Marketing ROI with Machine Learning
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Epsilon Abacus developed the Accelerate machine learning system to build more accurate modeled customer lists, improving targeting and campaign effectiveness for marketers.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Improved Accuracy
See Details
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How Endel Uses AI to Generate Personalized Soundscapes and Adaptive Music
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Endel uses AI, GenAI, and ML to generate real-time personalized soundscapes and music, adapting to user activity, environment, and contextual data (e.g., heart rate, time of day).

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
Machine Learning
Real-Time Processing
See Details
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How easyJet Built a Cloud-Based Conversational Interface with 99.8% Accuracy to Enhance Customer Flight Search
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easyJet developed a cloud-based conversation interface integrated into its mobile app, powered by Travelport and Google’s Dialogflow, enabling customers to search for flights using speech recognition. The chatbot achieved a 99.8% accuracy rate on over 5 million queries, significantly improving user experience and engagement.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Speech Recognition
Mobile App
See Details
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How Domino's and Microsoft Use Generative AI to Transform Pizza Ordering and Store Operations
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Domino's partnered with Microsoft to leverage Azure OpenAI Service and Microsoft Cloud to develop generative AI solutions for personalized pizza ordering and smarter store operations. The AI assistant helps store managers with inventory management, ingredient ordering, staff scheduling, and streamlines pizza preparation and quality control.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Speech Recognition
Client Satisfaction
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How DNB Uses AI Chatbot Aino to Automate Customer Service and Manage High Query Volumes
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DNB deployed Aino, an AI-powered chatbot using natural language processing, to automate responses to 20% of customer inquiries, handling over 10,000 daily interactions. The chatbot was production-ready within 8 weeks, improving customer service efficiency and satisfaction.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Time-Saving
Scalability
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How DLA Piper Uses Lex Machina AI for Predictive Litigation Analytics and Client Advisory
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DLA Piper employed LexisNexis’s Lex Machina, which uses big data and predictive modeling to analyze historical case data, judicial behavior, and attorney win rates, enhancing litigation strategy and client advisory services.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Predictive Modeling
Analytics Dashboard
Enhanced Decision-Making
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How DBS Bank Leverages AI and Cloud to Enhance Credit Risk Management, Customer Engagement, and Operational Efficiency
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DBS Bank has embedded over 1,500 AI models across 370+ use cases, spanning credit risk management, fraud detection, personalized financial advisory, and customer service automation. The bank uses machine learning, predictive analytics, and hybrid cloud infrastructure to drive digital transformation, reduce fraud, and improve customer experience.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Enhanced Decision-Making
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How Dartmouth University’s Therabot Uses Generative AI to Provide Real-Time Therapy Support
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Dartmouth University developed Therabot, a generative AI-powered therapy chatbot, which provides real-time interactive support for patients with depression, anxiety, and eating disorders via smartphone app conversations.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
NLP
Client Satisfaction
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How Compass Integrates AI to Streamline Real Estate Transactions and Improve Client Experience
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Compass uses AI-powered search, predictive analytics, and data-rich platforms to improve property search, pricing accuracy, and agent productivity.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Recommendation Engine
Team Efficiency
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How Coca-Cola Uses AI to Drive Hyper-Personalized Marketing and Content Creation
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Coca-Cola implemented an AI-driven content creation platform analyzing consumer data to generate personalized marketing content, including ads and social media posts. Leveraging GPT-4, DALL·E, Adobe Experience Cloud, Adobe Real-Time Customer Data Platform, and Adobe Journey Optimizer, Coca-Cola delivers hyper-personalized campaigns globally.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
Computer Vision
Client Satisfaction
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How Clifford Chance Uses iManage RAVN AI to Automate Document Management and Improve Case Preparation
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Clifford Chance implemented iManage RAVN, an AI platform using machine learning and NLP to automate document classification, retrieval, and summarization, simplifying legal workflows and boosting efficiency in case preparation.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
NLP
Time-Saving
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How charity: water Uses AI to Predict Donor Lapse and Optimize Water Project Targeting
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charity: water employs machine learning to predict donor lapse patterns and analyze satellite and field data to identify communities most in need of clean water projects, improving donor retention and impact.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Enhanced Decision-Making
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How CareerVillage Uses AI to Connect Students with Career Mentors and Personalized Guidance
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CareerVillage employs AI matching and natural language processing to connect underserved youth with career mentors and provide tailored job guidance and tools.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Machine Learning
Scalability
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How Buzz Radar Built a Cognitive Command Center Using IBM Watson for Real-Time Marketing Insights
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Buzz Radar developed a Cognitive Command Center platform powered by IBM Watson technologies to provide real-time insights into marketing ROI, enabling clients to optimize campaigns dynamically and improve performance.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Real-Time Processing
Analytics Dashboard
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How Buzet Increased Organic Traffic by 25% Using Scalenut’s AI-Powered SEO and Content Marketing Platform
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Buzet used Scalenut’s AI-driven SEO and content marketing platform to automate research and content creation, resulting in a 25% increase in organic traffic with less effort and shorter timelines.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
GenAI
Time-Saving
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How Buildots Uses AI and 360-Degree Cameras to Monitor Construction Progress and Ensure Compliance
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Buildots mounts 360-degree cameras on hard hats to capture site images, which AI algorithms analyze to compare actual construction progress against project plans in real time. This enables early detection of deviations, improved compliance with plans and codes, and reduced costly rework.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Computer Vision
Real-Time Processing
Improved Accuracy
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How Bloomreach Streamlined Content Creation and Improved Campaign Performance with AI
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Bloomreach used Jasper’s AI-powered platform to generate and optimize marketing content, streamlining the content creation workflow and enhancing campaign performance.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
GenAI
LLM
Time-Saving
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How Betterment Uses AI to Improve Investor Decision-Making and Reduce Bias
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Betterment employs AI and machine learning to assess investor financial behavior, reduce cognitive biases, and improve investment decision-making. The platform offers personalized portfolio recommendations with low fees (0.25%), enhancing investor outcomes and satisfaction.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Client Satisfaction
Enhanced Decision-Making
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How Bayer Australia Uses AI and Google Cloud to Predict Health Trends and Optimize Marketing
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Bayer Australia combined Google Trends, weather, and climate data with Google Cloud’s machine learning technology to predict health trends, such as flu outbreaks, and target marketing efforts more effectively.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Predictive Modeling
Enhanced Decision-Making
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How Bank BRI Uses AI-Driven Credit Scoring to Expand Microloans to Rural Borrowers and Reduce Defaults
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Bank BRI implemented AI-driven credit scoring models leveraging agricultural and alternative data to assess credit risk for rural borrowers without formal credit histories. The system integrates crop yield patterns, market prices, and environmental data to provide accurate risk assessments, enabling faster loan approvals and better fraud detection.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
2 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
Machine Learning
Improved Accuracy
Time-Saving
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How BakerHostetler Uses ROSS Intelligence AI to Reduce Legal Research Time and Improve Strategy
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BakerHostetler used ROSS Intelligence, an AI-powered legal research tool leveraging NLP and machine learning to scan vast legal databases and deliver precise precedents and insights instantly, enabling attorneys to focus more on client representation and litigation strategy.

Difficulty: ⚙️
Time to Value: ⏱
Resource Type: 📘
Case Study
Read Time: ⏳
1 min
Complexity: 🧩
Setup Time: ⚙️
Deliver Format: 📦
Scope: 🧭
NLP
Machine Learning
Time-Saving
See Details