Hyper Growth: AI and Data in Business Scaling
Explore AI and data-driven strategies for hyper growth with industry leaders, discussing cutting-edge technologies and their impact on business acceleration and innovation.
How to Best Use Digital KYC and AI to Fight Fraud
Explore cutting-edge strategies for combating fraud using digital KYC and AI technologies, featuring insights from industry experts on leveraging innovation for enhanced security.
Bioinformatics - Erasing the Line Between Biology and Hacking
Explore the intersection of biology and hacking in bioinformatics, discovering how computational techniques are revolutionizing biological research and creating new security challenges.
Know Thy Operator: Behavior-Based Event Detection in Industrial Facilities
Explore industrial process data analysis, machine learning for variability tracing, and behavior-based event detection in facilities. Learn about cluster tuning algorithms and operator response characterization.
Learning-Based Multiscale Modelling: Computing, Data Science, and Uncertainty Quantification
Explore machine learning frameworks for multiscale modeling in materials science, including Fourier and recurrent neural operators, to accelerate computations and bridge scales across multiple physics levels.
Spark, Cloud, DBT, Data Warehouses Etc. - Navdeep Kaur
Explore current trends in Data Engineering, including the shift towards new data stacks, tech used by companies, reasons for change, and the transition to data warehouses and delta lakes.
Generalized Morse Theory of Distance Functions to Surfaces for Persistent Homology
Unifying distance fields, persistent homology, and Morse theory to quantify complex shape textures, with applications in characterizing vascular structures in leukemia samples.
GA4 Events - Exactly Why You Need to Use Them
Comprehensive guide to GA4 events: types, usage, and implementation. Learn about automatic, recommended, and custom events, with step-by-step instructions for tracking and creating events in Google Analytics 4.
Beyond Monitoring - The Rise of Data Observability - Shane Murray
Explore data observability as a solution to data downtime, ensuring data trust at scale. Learn its importance in modern DataOps and gain insights for implementing a robust data quality strategy.
Graph Neural Networks for Multi-Agent Learning
Learn to apply Graph Neural Networks in multi-agent systems, exploring their potential for collaborative decision-making and distributed intelligence in complex environments.
Interactive Brokers API and TradingView Charts in Python
Learn to integrate TradingView Lightweight Charts with Interactive Brokers API in Python. Build projects for data visualization, real-time updates, and automated trading with hands-on coding examples.
Federated and Collaborative Learning - Session 1
Explore cutting-edge topics in federated learning, including data valuation, privacy, uncertainty quantification, and scaling to foundation models, presented by leading experts in the field.
Federated and Collaborative Learning
Explore federated and collaborative learning approaches with Katrina Ligett, delving into innovative techniques for privacy-preserving data analysis and machine learning.
End to End MLOPS Data Science Project Implementation With Deployment
Comprehensive MLOps project implementation covering data ingestion, validation, transformation, model training, and deployment on AWS EC2 using MLflow and GitHub Actions.
Obstetric Risk Assessment - The Need for ML-AI
Explore the potential of machine learning and AI in improving obstetric risk assessment, enhancing patient care and outcomes in maternal health.
Automating Bone Age Assessment from Pediatric Xrays
Learn to automate bone age assessment from pediatric X-rays using machine learning techniques. Explore practical applications in healthcare for more efficient and accurate diagnoses.
Cancer Diagnostics - Opportunities and Challenges by Sudha Sundar
Explore opportunities and challenges in cancer diagnostics, focusing on innovative approaches and potential advancements in early detection and personalized treatment strategies.
LRF and Alan Turing Institute Data-Centric Engineering Partnership Launch
Exploring data-centric engineering's potential to enhance safety and efficiency in various sectors through a £10 million research grant collaboration between Lloyd's Register Foundation and The Alan Turing Institute.
Living with Machines - AI Beyond STEM: Digital Skills for Data Science in Non-STEM Fields
Explore digital skills for leveraging data science and AI in non-STEM fields. Experts discuss challenges, opportunities, and future directions for integrating these technologies across diverse disciplines.
Digital Twins in Engineering: From Air Pollution to Cardiology - Day 3
Advancing digital twins: Experts explore foundational aspects, research challenges, and key applications, bridging data-driven and mechanistic modeling for engineering and scientific domains.
Digital Twins Workshop: Mathematical and Statistical Foundations - Day 2
Advancing digital twins through expert talks on stochastic integration, neural surrogates, PDE-constrained optimization, inverse optimal transport, and Markov Chain Monte Carlo methods.