MLOps from Edge to On-Demand Visualization
Explore flexible MLOps architecture for Red Hat OpenShift, covering data collection, cloud storage, and on-demand visualization using accelerated hardware.
Oil and Gas Use Cases in Machine Learning
Explore machine learning applications in the oil and gas industry, focusing on practical use cases and innovative solutions for industry challenges.
Tackling the Challenges of High-Performance Graph Analytics at Compiler Level
Explore COMET, a DSL and compiler framework for efficient tensor algebra code generation, focusing on optimizations for high-performance graph analytics on heterogeneous systems.
Streamlining Power BI with PowerShell
Automate Power BI tasks using PowerShell to simplify workspace management, access control, and dataset handling, enhancing efficiency and reducing errors in data analytics workflows.
From DevOps for Data to DataOps
Explore DataOps principles and practices for data & analytics, comparing similarities and differences with DevOps in software engineering to enhance agility and business value.
Accelerate Release Velocity and Quality with Modern DevOps Test Data Management Practices
Discover modern DevOps practices for on-demand, compliant data delivery in application development and analytics, addressing data sprawl and regulatory challenges in the Microsoft ecosystem.
Next-gen Enterprise Workflows: Observability at Scale - Conf42 Cloud Native 2023
Explore next-gen enterprise workflows and learn how to implement observability at scale for improved system monitoring and performance optimization.
DataOps as a Service
Explore DataOps as a Service: streamline data operations, enhance efficiency, and leverage cloud-native solutions for modern data management challenges.
The New Economics of Technology and Data
Explore economic shifts driven by geospatial data and AI language models, unlocking new potentials in sustainability, digital twins, and prompt engineering for innovative outcomes.
Machine Learning and Advanced Analytics in Today's Cyber Security
Explore machine learning and advanced analytics applications in modern cybersecurity, focusing on innovative techniques to enhance threat detection and response in today's digital landscape.
Trusting Your Data Science Pipelines - A Quantitative Approach
Explore quantitative methods for ensuring reliability in complex data science pipelines. Learn about Two Sigma's approach to verifying end-to-end results and developing scalable algorithms for improved system stability.
Exploring Best Practices and Customer Successes in the Industrial Internet of Things
Explore industrial IoT best practices, customer successes, and Accenture's CPaaS platform. Learn about IoT adoption, ecosystem partnerships, and real-world use cases in various industries.
Analyzing User Decision Making on Phishing Sites - Using Mouse Data and Keyboard Dynamics
Explore user behavior on phishing sites through mouse and keyboard data analysis. Gain insights into decision-making patterns and learn effective strategies for enhancing cybersecurity awareness.
Industry 4.0
Explore Industry 4.0's fusion of digital, physical, and biological realms. Discover how AI, AR/VR, and robotics augment human abilities, revolutionizing manufacturing and creating new job opportunities.
A Bee-Inspired Story - How Big Data Can Help Bees to Thrive
Discover how AI and machine learning are revolutionizing beekeeping through smart hives, enhancing bee health and global food security with innovative data analysis techniques.
TIDS - A Framework for Detecting Threats in Telecom Networks
Explore a framework for detecting threats in telecom networks, covering monitoring, data collection, and analytics to protect infrastructure and subscribers from various attacks and privacy issues.
Building a Secure Data Market on Blockchain - USENIX Enigma 2019
Explore blockchain-based secure data markets for privacy-preserving analytics and machine learning, addressing challenges and showcasing real-world applications in healthcare and beyond.
Insider Threat Detection & Automation by Behaviour Analytics
Learn to detect and automate insider threat prevention using behavior analytics, exploring UEBA, anomalies, and data-driven techniques for enhanced cybersecurity.
Performance Analysis of Apache Spark and Presto in Cloud Environments
Comparative analysis of Apache Spark and Presto on Amazon EMR, focusing on SQL performance using TPC-DS benchmark. Explores execution times, costs, and optimization techniques to guide big data analytics platform selection.
Network Transformation - Are We Ready for 5G and Edge Clouds
Explore network transformation for 5G and edge clouds, discussing challenges, cloud-native solutions, and industry progress towards flexible, scalable infrastructure to handle massive data from connected devices.
Can Big Data Save the World?
Explore the potential of big data in solving global crises with Palantir CEO Alex Karp. Discuss data-driven intelligence, software solutions, and ethical considerations in addressing complex world issues.