
Explore Azure AI platform's tools, infrastructure, and services for integrating AI into existing applications. Learn skills needed to become an AI developer and create intelligent solutions.

Explore AI integration in BI solutions for enhanced data insights. Learn to use pre-built AI tools, consume data scientist models, and leverage Power BI's AI features for intelligent reporting.

Introduction to Azure's Computer Vision and Custom Vision APIs, covering basics, model creation, training, and implementation using Python in Azure Notebooks.

Discover essential techniques for data preparation in AI/ML projects. Learn to source, clean, and transform data effectively, enhancing the quality and predictive power of machine learning models.

Explore the AI ecosystem for DBAs, covering basics, support skills, and in-depth understanding to thrive in AI. Learn about architecture and operationalizing models using Azure ML Server.

Aprenda a diseñar proyectos de ciencia de datos e IA en Azure, desde la comprensión del negocio hasta la implementación, utilizando un enfoque práctico basado en equipo y las últimas tecnologías disponibles.

Explore AI, ML, and DL with Buck Woody: learn key differences, use-cases, and implementation options, including SQL Server platform technologies.

Explore machine learning options in SQL Server ecosystem, from edge devices to cloud, covering training, testing, and operationalization for various workloads and design patterns.

Explore machine learning techniques for building stable kernel trees, focusing on automated patch review and neural network applications in kernel development.

Explore GPU, media, and AI buffer management and interoperability in Linux systems, focusing on cutting-edge developments and collaborative solutions.

Explore automatic optimization of BPF programs through program synthesis, covering performance, safety, and practical applications. Learn about K2 equivalence checks and their impact on BPF development.

Explore ethical challenges of emerging tech: autonomous vehicles, AI in healthcare, and combat drones. Discuss societal impacts and the need for proactive consideration of these issues.

Discover how machine learning impacts Swift development, exploring techniques, tools, and resources. Learn to leverage iOS for data gathering and model implementation using native code.

Explore contributing to Open Source Swift: learn about Swift's components, required skills, and best practices for getting your first fix accepted. Gain insights into Swift's ecosystem and development process.

Explore building a tiny compiler from scratch, covering parsing, lexing, and code generation using Swift. Learn elegant solutions for complex programming challenges.

Explore iOS 10's Speech APIs for speech-to-text conversion in 50+ languages. Learn implementation, limitations, and practical applications in this talk by Marc Brown.

Explore technologies for building conversational interfaces in iOS apps, including speech recognition, voice playback strategies, and design best practices for enhanced user interaction.

Explore Face Tracking and ARKit 2 to create personalized Memojis. Learn the technology behind iOS 12's animated emoji feature and implement custom facial animations in your apps.

Explore image super resolution using CoreML and Swift. Learn implementation, model training, and comparisons with conventional methods. Discover recent advancements in iOS machine learning.

Explore the concept of Adaptability Quotient (AQ) and learn techniques to measure, develop, and apply adaptability in your professional life and team dynamics.

Erörterung der Auswirkungen, Chancen und Risiken künstlicher Intelligenz auf unsere Zukunft aus der Perspektive eines Experten.