Holistic Health Metrics for ML-Based Products
Explore holistic health metrics for ML-based products. Learn where and when to collect data, model, post-model, and business-level metrics to ensure system accuracy and reliability.
Validate and Monitor Your AI and Machine Learning Models
Discover techniques for validating and monitoring advanced AI and ML models, ensuring long-term performance and business adoption in various industries.
MLOps at Scale: Predicting Bus Departure Times Using 18,000 ML Models
Explore MLOps at scale through a case study on predicting bus departure times using 18,000 ML models. Learn practical insights for implementing large-scale machine learning projects.
Applied Machine Learning in Healthcare - Practical and Legal Considerations
Explore practical and legal aspects of applying machine learning in healthcare, including data challenges, algorithm development, and ethical considerations.
Predicting and Preventing Customer Technical Issues Using Machine Learning and RPA
Predict and proactively resolve customer technical issues using machine learning and robotic process automation, improving service efficiency and customer satisfaction in telecom.
Metrics That Matter: Communicating ML Value to Stakeholders in Insurance
Explore creative strategies to gain stakeholder buy-in for ML projects in insurance, focusing on metrics that matter beyond traditional ROC scores.
The Algorithm is Not Enough: UX Meets Data Science
Explore the synergy between UX and data science, learning how to integrate user-centric design with data-driven insights for more effective product development.
Winning Your First 50 Enterprise Customers - Practical Strategies to Launch a ML Startup
Discover practical strategies for acquiring and scaling enterprise ML customers, from landing your first client to validating your business model and expanding to 50 customers.
Banorte's AI Journey - Yielding 3 Billion USD Revenue in 5 Years
Explore Banorte's AI transformation journey, yielding $3 billion in revenue over 5 years. Learn strategies for implementing high-ROI AI projects and avoiding transformational fatigue.
Raising the Quality of Online Conversations with Machine Learning
Explore how The Washington Post uses machine learning to moderate online comments, enhancing digital discourse quality and addressing technical challenges.
Accelerating Talent in AI - Overcoming Industry Challenges
Explore key obstacles in AI talent acquisition and strategies to overcome them, empowering academia, graduates, and businesses to bridge the industry-ready talent gap.
Machine Learning in Finance - Lessons Learned
Explore ML's impact on finance, its current capabilities, and best practices for implementation. Learn to identify opportunities and avoid pitfalls in trading and banking applications.
Enabling a Data-Driven Enterprise - Part 1
Discover strategies for building a data-driven organization, reducing AI bias, and fostering human-machine collaboration to drive innovation in enterprise settings.
How to Set Your Internal AI Initiative for Production-Level Success
Explore strategies for maximizing AI project success in production, building credibility with decision-makers, and selecting high-impact initiatives within organizations.
Responsible AI: Principles and Practices for Ethical Machine Learning
Explore AI's impact on business strategy and innovation with insights from industry expert Kathryn Hume at TMLS2019.
A Human-Centered Design Approach to AI and ML
Explore a human-centered design approach to AI and ML, gaining practical tools and frameworks for building innovative, disruptive digital products and services.
Lessons From Fast Growing Companies in Adopting and Accelerating AI
Discover strategies for AI adoption in fast-growing companies. Learn how to capitalize on AI's potential, overcome challenges, and drive innovation and growth in startups and scale-ups.
Retail AI Use Case: Building a Demand Prediction Model
Explore retail AI demand prediction models, KPIs, and implementation strategies for effective business use cases in the retail industry.
Deep XVA - Efficient Derivative Valuation for Risk Management
Explore efficient XVA calculation using deep learning, GPU computation, and AAD for computationally intensive finance models.
COVID-19 Vaccination Demand Forecasting in Canadian Pharmacies
Develop an analytic forecasting framework for COVID-19 vaccination demand in Canadian pharmacies using historical data, geospatial demographics, and digital surveys.
Your R&D Project Looks Promising - Now What?
Explore strategies for transitioning promising R&D projects into production, covering key considerations and best practices for successful implementation.