Data Science & AI
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Discover how brands can leverage Generative AI to transform the way they produce content and visualize products. Learn more about results...
Generative AI
Development Innovation Canvas
Breaking down legacy barriers: A deep dive into insurance modernization
Setting new standards for BFSI efficiency with AI-powered document processing
AI financial advisor: Assess investment suitability with GenAI
Accelerating enterprise data migrations: A GenAI recipe
Why AI needs the right process and human intelligence to succeed
LLMOps blueprint for open-source large language models
Digital dressing rooms: How generative AI is redefining virtual try-ons
How generative AI is reducing drug development timelines
Transforming business process automation with retrieval-augmented generation and LLMs
LLMOps blueprint for closed-source large language models
How generative AI elevates customer engagement in B2C manufacturing and retail
Transform your product design processes and personalization services with generative AI
Game asset creation with generative AI tools: A tutorial
Supply chain and pricing
Probabilistic forecasting for enhanced demand prediction
Building resilient supply chains using robust warehouse and transportation management systems
Retail demand forecasting: Use cases in Retail and Manufacturing
A guide to supply chain control tower use cases
Inventory allocation optimization: A pre-built solution for Dataiku
Building a visual quality control solution in Google Cloud using Vertex AI
Optimization of order and inventory sourcing decisions in supply chains with multiple nodes, carriers, shipment options, and products
How explainable AI helped reduce warehouse order picking time by 1/4
Building a workforce schedule optimization solution
Ship from store and save
Multi-agent deep reinforcement learning for multi-echelon supply chain optimization
Safety stock optimization for ship-from-store
A guide to dynamic pricing algorithms
Retail price modeling for replenishable and seasonal products
Algorithmic pricing, part III: Implementation blueprint
Algorithmic pricing, part II: AI and pricing strategy
Algorithmic pricing, part I: The risks and opportunities
Predictive analytics for promotion and price optimization
Xgboost vs Catboost vs Lightgbm: Which is best for price prediction?
Customer intelligence and personalization
Featured post
Customer2vec: Representation learning for customer analytics and perso...
Personalization and recommendation algorithms have been around for many decades, and basic methods such as look-alike modeling and collaborative filt...
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Featured post
Operationalizing next best action in commercial pharma: A blueprint
There is no doubt that customer-centricity and personalization tools are driving digital transformation investments in commercial pharma. The big que...
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Harnessing multi-armed bandits for optimized coupon recommendations
Churn analytics in the technology and telecom industries using Google Vertex AI
Next best action (NBA) to augment customer engagement in commercial pharma
Designing an objective function for personalization in pharmaceutical marketing
AI & machine learning will transform the customer experience
Stamp session-based recommender
How to build and evaluate a next best action model for customer churn prevention
Customer churn prevention: A prescriptive solution using deep learning
A plug-and-play platform for in-app and in-game experience personalization
How deep learning improves recommendations for 80% of your catalog
Cross-channel marketing spend optimization using deep learning
Building a next best action model using reinforcement learning
Risk management
Visual quality control in additive manufacturing: Building a complete pipeline
Visual quality control with AWS Lookout for Vision
Building a predictive maintenance solution using AWS AutoML and no-code tools
Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook
Detecting anomalies in high-dimensional IoT data using hierarchical decomposition and one-class learning
Anomaly detection in industrial applications: Solution design methodology
Finding new COVID-19 treatments with graph convolutional networks (GCN)
Add anomaly detection to your data with Grid Dynamics starter kit
Unsupervised real time anomaly detection
Natural language processing
Recent natural language processing breakthrough in computer vision
Tiered machine learned ranking improves relevance for the retail search
Relevant facets: How to select and promote facets with deep learning
Understanding search query intent with deep learning
How we built a conversational AI for ordering flowers over Amazon Alexa or Google Home
Visualizing insights with an analytics dashboard
Selecting, training, evaluating, and tuning the model
Creating training and test data sets and preparing the data
Constructing a data dictionary for Twitter stream sentiment analysis of social movie reviews
Understanding the structure of the data in Twitter streams for sentiment analysis applications
The basics of data science with a sentiment analysis example
Using CRISP-DM methodology for Twitter sentiment analysis
Computer vision
A personal tailor application using computer vision for online clothing retailers
Recent natural language processing breakthrough in computer vision
How to identify vehicle tires using deep learning visual models
How to build visual traffic analytics with open source: Car tracking and license plates recognition
Visual search: How to find manufacturing parts in a cinch
Street-to-shop: Is the future of fashion visual search?
Using augmented reality in interior & property design: how did we live without it?
Fighting with biases: How to measure diversity in streaming media
How to recognize coins with deep learning visual model
Virtual backgrounds: Real-time deep semantic segmentation on mobile devices
Industrial label recognition made easy with AutoML
What is computer vision and what can it do?
What computer vision services, platforms & solutions are on the market
10 ways computer vision is transforming digital retail
A visual search for dinnerware patterns with Replacements.com
Identifying screws, a practical case study for visual search
Art.com helps customers find art they love with visual search
Expanding product discovery with ML-powered image similarity search
Creating an image similarity function with TensorFlow and its application in e-commerce
Detecting and correcting e-commerce catalog misattribution with image and text classification using Google TensorFlow
How machine learning can address attribution issues in e-commerce catalogs
Data engineering
Retail demand forecasting: Use cases in Retail and Manufacturing
From data lake to analytical data platform
How to use GCP and AWS big data and AI cloud services from Jupyter notebook
Why you need data quality automation to make data-driven decisions with confidence
How to create a serverless real-time analytics platform: A case study
Delivering actionable insights in real-time by moving from batch to stream processing: A digital media case study
How to achieve in-stream data deduplication for real-time bidding: A case study
