AI Resources
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Your hub for AI tool, Solutions, Resources - Now with AI-Powered Personalized Recomendations
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.
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.
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.
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.
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.
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.
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.
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.
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.
Knock uses AI and predictive analytics to analyze market data and user profiles, efficiently matching buyers and sellers in home trade-in transactions.
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.
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.
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.
IRC deployed an AI-powered chatbot using natural language processing to process refugee claims faster and more accurately, improving asylum seeker support.
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.
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.
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.
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.
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.
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.
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.
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).
Gridium’s ML-based analytics optimize energy consumption and streamline building maintenance, helping clients reduce costs and environmental footprint.
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.
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.
Euroflorist adopted Evolv AI’s platform to conduct multivariate testing and website optimization, improving user experience and increasing conversion rates.
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.
Epsilon Abacus developed the Accelerate machine learning system to build more accurate modeled customer lists, improving targeting and campaign effectiveness for marketers.
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).
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.
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.
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.
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.
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.
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.
Compass uses AI-powered search, predictive analytics, and data-rich platforms to improve property search, pricing accuracy, and agent productivity.
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.
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.
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.
CareerVillage employs AI matching and natural language processing to connect underserved youth with career mentors and provide tailored job guidance and tools.
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.
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.
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.
Bloomreach used Jasper’s AI-powered platform to generate and optimize marketing content, streamlining the content creation workflow and enhancing campaign performance.
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.
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.
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.
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.
Autodesk’s AI tools analyze BIM and project data to optimize construction scheduling, resource allocation, and progress monitoring, reducing delays and budget overruns while enhancing stakeholder communication.
American Cancer Society applied machine learning to identify optimal communication channels and messaging for donors, significantly enhancing fundraising campaign effectiveness.
Amazon implemented an AI-powered recommendation engine analyzing customer behavior and preferences to provide highly relevant product suggestions, improving customer satisfaction and increasing sales.
Allegis Group, a global leader in talent and workforce solutions, partnered with TEKsystems and Google Cloud to implement AI and machine learning models automating recruitment tasks such as updating candidate profiles, generating job descriptions, and analyzing recruiter-candidate interactions. They built a centralized Data Science Hub using a hub-and-spoke MLOps model to operationalize AI solutions at scale across all operating companies.
Affectiva employs AI technology to analyze facial expressions and vocal patterns to assess emotional states, aiding mental health diagnostics and tailoring therapy to individual emotional cues.
Aeon Hire employs AI tools that scan web and job boards using multiple data points beyond keywords, including public work samples, to predict candidate fit, turnover risk, and performance. The platform automates interview coordination and candidate communications, generating real-time pipeline analytics to enhance hiring outcomes.
Adobe Marketo Engage uses AI-powered automation to nurture leads and deliver personalized content, adjusting messaging dynamically based on customer interactions to increase marketing effectiveness and conversion rates.