Measuring AI Adoption and Value with Microsoft Copilot Dashboard
Master Microsoft Copilot Dashboard analytics to track AI adoption, create custom reports, and measure business outcomes through Viva Insights, optimizing your organization's AI investment.
Understanding and Accelerating Business Decisions for Microsoft 365 Data Using AI
Discover how to leverage AI and Azure OpenAI to extract valuable insights from enterprise M365 data, enabling faster business decisions through integrated data analysis across environments.
Secure and Streamline Data Engineering Workloads with Azure Data Factory and Snowflake
Discover how to optimize data engineering workflows using Azure Data Factory and Microsoft Fabric with Snowflake, featuring bi-directional data access through Apache Iceberg for enhanced security and performance.
Unlocking Business Value with Data and AI-Powered Finance and Tax
Discover how AI and Microsoft tools transform finance and tax operations by breaking down data silos, enhancing productivity, and delivering actionable insights for improved business outcomes.
Innovate Faster and Maximize Uptime on Azure with New Relic - ODFP964
Master Azure monitoring and troubleshooting with New Relic's Intelligent Observability platform, featuring automatic mapping, AI-powered detection, and pre-built dashboards for enhanced performance.
Machine Learning for Computational Biology: Electronic Health Records - Lecture 19
Dive into machine learning applications for Electronic Health Records (EHRs), exploring computational biology approaches and data analysis techniques for healthcare systems.
Artificial Intelligence for Protein Modeling - DNA, RNA and Ion Docking Explained
Discover how AlphaFold3 revolutionizes structural biology through AI-powered protein modeling, enabling accurate predictions of 3D molecular structures, DNA/RNA interactions, and protein-protein binding mechanisms.
Automatically Deriving Adjectival Scales from Neural Network Language Models - 2013
Discover how computational linguistics can derive meaning from adjective scales, using web data and neural networks to understand gradable modifiers in everyday language and medical contexts.
Effective Data Platforming with Open Source Tools for Faster Insights
Discover how to build robust data streaming platforms using open-source tools like Strimzi, Kafka, and Confluent, while applying core software engineering principles for optimal architecture and performance.
Vector Databases: A New Search Paradigm - OCX 2024
Explore how vector databases revolutionize information search through multidimensional data representation, with hands-on examples using Milvus, Weaviate, and Neo4J for enhanced data analysis.
Eclipse sensiNact: IoT Device Modeling and Digital Twins
Discover how Eclipse sensiNact enables flexible IoT device modeling and digital twin creation, with practical examples from Jena Smart City demonstrating dynamic connectivity and modular architecture implementation.
Magic Industrial Data Acquisition with Apache PLC4X, TsFile and IoTDB
Discover how to optimize industrial data collection using Apache projects PLC4X, TsFile, and IoTDB for reliable automation, distributed systems, and high-performance OT software solutions.
Unleashing the Power of Digital Twins with Asset Administration Shell and Open Source
Discover how Asset Administration Shell revolutionizes industrial digital twins through open-source initiatives, standardized data exchange, and lifecycle management for Industry 4.0 implementation.
Insights and Lessons from Mapping the Open Source Science Landscape
Discover how mapping open source science ecosystems reveals interconnections, enhances tool discovery, and drives innovation through data-driven insights about projects, patents, funding, and collaboration networks.
Abstractive Summarization and Text Generation Evaluation
Explore advanced techniques in abstractive summarization and learn effective methods for evaluating text generation outputs in natural language processing.
Open Standards for Open Lakehouses - Understanding Apache Iceberg, Parquet, Arrow, and Nessie
Discover how open-source standards like Apache Iceberg and Nessie power data lakehouses, enabling flexible and cost-effective data platforms while minimizing vendor lock-in and data movement challenges.
Standards-based Data Platforms for HPC and AI
Explore how standardized frameworks optimize data platforms for HPC and AI, focusing on interoperability, data movement, and system integration for enhanced performance and efficiency.
Building a Swordfish Storage Management Data Collection Tool
Discover how to build and implement a Swordfish poller tool for efficient storage management, data collection, and system health monitoring across diverse storage infrastructures using SNIA/DMTF standards.
The Role of Flash in Data Ingestion Within the AI Pipeline
Explore how flash storage revolutionizes data ingestion for AI pipelines, focusing on scalability challenges, performance demands, and efficient solutions for modern AI infrastructure deployment.
Cloud Storage Considerations for RAG in AI Applications
Explore cloud object storage implementation in RAG systems, covering LLM-OS concepts, domain-specific data handling, and practical applications for building AI-powered solutions with vector databases.
Integrating Apache Arrow on WASM Using Component Model
Discover how to integrate Apache Arrow with WASM Component Model, exploring efficient data handling techniques and practical applications across IoT, robotics, and cloud infrastructure.