Data Mesh: From Experimentation to Industrialization - A Financial Services Case Study
Discover how a financial organization transformed their data architecture using Data Mesh on GCP, reducing lead times from months to days while enabling self-service analytics and cross-domain collaboration.
Evolving Storage Solutions for AI/ML Performance and Scale
Discover how Samsung's innovative object storage solutions and DSS stack optimize AI/ML workloads, enabling unprecedented performance and scalability for machine learning applications.
Generative AI for Social Media Content Categorization - From Theory to Production
Discover how to combine RAG & LLMs for scalable YouTube channel categorization, with practical examples, production insights, and live demonstrations of AI-powered content analysis.
Latest Developments in SNIA Computational Storage - Implementation and Security Updates
Explore the latest developments in Computational Storage, including deployment strategies, security considerations, and implementation guidelines from SNIA's Technical Work Group leadership.
Computational Storage: Understanding NVMe and SNIA Standards Integration
Discover how NVMe and SNIA standards harmonize in computational storage, exploring terminology, architectural components, and implementation approaches for seamless integration between both frameworks.
NVMe Computational Storage: Updates and Architecture in the NVMe Standard
Explore the latest developments in NVMe Computational Storage standards, including architecture, command sets, memory models, and implementation strategies for computational programs and devices.
Preventing Toxicity and Unconscious Biases Using Large Language and Deep Learning Models
Discover how large language models and BERT transformers can detect and prevent unconscious biases in AI systems, achieving 98.7% accuracy across diverse data sources and cultural contexts.
Deploying and Managing Baremetal Kubernetes with Ironic
Discover how G-Research leverages Ironic to automate baremetal Kubernetes deployment, managing hardware provisioning, security compliance, and firmware updates across multiple datacenters for efficient HPC operations.
Rise, Fall and Re-Rise of the Semantic Layer - Evolution and Future of Data Management
Explore the evolution of semantic layers in data management, from traditional systems to modern metric stores, while understanding key challenges and future directions in data truth management.
Building Machine Learning Systems for the Era of Data-Centric AI
Explore the evolution of ML systems beyond model training, focusing on data quality, trustworthiness, and regulatory compliance through systematic data debugging and cleaning approaches.
Building a Research Platform with Armada on OpenStack and Kubernetes
Discover how to build a high-throughput research platform combining OpenStack and Kubernetes for managing quantitative research workflows, featuring Armada for efficient job scheduling across multiple clusters.
Sokovan - Container Orchestrator for Accelerated AI/ML Workloads and Massive Scale GPU Computing
Discover how Sokovan optimizes AI/ML workloads through intelligent container orchestration, featuring dual-layer scheduling and hardware acceleration integration for enhanced GPU computing performance.
Smart Data Accelerator Interface - Use Cases, Futures and Proof Points
Discover the latest developments in memory-to-memory data movement and acceleration through SNIA's SDXI standard, exploring use cases in AI and emerging technologies for enhanced data processing capabilities.
Data as the Programming Interface - The Future of AI Development
Explore how data-centric approaches revolutionize AI development, focusing on specialized evaluation, fine-grained analysis, and scalable solutions for capturing human feedback in enterprise systems.
From Data Lakes to Data Mesh - The Evolution of Redmesh
Explore Bosch Digital's journey from data lakes to data mesh through redmesh, a self-service platform revolutionizing enterprise data management and analytics for faster, more efficient data-driven decision making.
From Psychohistory to Curious Machines - AI-Powered Strategic Foresight
Explore how AI-powered foresight and strategic prediction evolve from Asimov's psychohistory concept to modern applications in trend forecasting and early adopter identification through Nextatlas.
Optimizing Text Classification in Construction Data Using FastText and BERT Models
Discover how to optimize text classification for construction tenders using fasttext models and BERT, achieving improved accuracy through category merging and probability thresholds for product and supplier predictions.
Augmented Retrieval Products with Generative AI Models
Discover how to develop and implement augmented retrieval products using Generative AI, from requirements engineering to deployment on Azure, focusing on smart search optimization and feedback integration.
Facebook Data and Machine Learning for Election Prediction
Explore how machine learning and Facebook data analysis can predict election outcomes, examining privacy concerns, algorithmic bias, and the impact on voter behavior.
Bridging Gaps: Classic Approaches Beyond Deep Learning Constraints
Explore how classic techniques complement deep learning in real-world AI applications, from computer vision to complex optimization challenges, enhancing production system performance.
Verif.ai - A Trustworthy Scientific Generative Search Engine
Discover how Verif.ai combines information retrieval, generative models, and verification engines to create a trustworthy scientific search system that delivers referenced, verifiable answers.