Memory Wall Mitigation and Acceleration of AI Workloads Using CXL Near Memory Computing
Explore CXL-based Near Memory Compute architectures for hyperscale environments, focusing on acceleration solutions for data-intensive workloads and memory optimization techniques.
Optimizing AI Inferencing with CXL Memory - Memory Tiering Strategies for Enhanced Performance
Explore how CXL-attached memory revolutionizes AI inference systems, enhancing performance and scalability for Large Language Models while optimizing memory bandwidth and reducing latency.
Supporting Meta ML Accelerators on the Grand Teton Platform
Discover how Meta modifies the Grand Teton platform to integrate ML accelerators, exploring hardware design changes, carrier card implementation, and rack configuration for enhanced performance.
Near Memory Compute for AI Inferencing - Optimizing Data Center Design and TCO
Explore innovative approaches to AI inferencing optimization through Near-Memory Compute technology, focusing on reduced latency, cost efficiency, and sustainable data center design solutions.
CXL Memory Disaggregation - Use Cases and System Benefits in Multi-host Environments
Explore advanced memory pooling and sharing in CXL 3.1, focusing on datacenter cost reduction, dynamic resource allocation, and performance optimization for distributed computing frameworks.
Google Ads Quick Audit Template Tutorial
Master a quick 10-minute Google Ads audit process using a specialized template to evaluate and optimize campaign performance effectively and systematically.
후발 광고 플랫폼의 시장 생존 전략 - ASUM 사례 연구
Discover how SK Telecom developed ASUM, an innovative advertising platform leveraging first-party data and machine learning for precise targeting and campaign optimization in a competitive market.
AI Innovations Through Deep Learning and Generative AI
Explore how deep learning and generative AI innovations transform business models, featuring insights from Moloco CEO and former Google tech lead on AI commercialization and growth strategies.
AI Applications in T deal Commerce Platform After 4 Years
Discover how T deal leverages AI to solve complex business challenges in e-commerce, from managing VoC to partner relationships and content diversification, based on experiences with 1M+ MAU platform.
T deal의 큐레이션 커머스 콘텐츠 푸시 고도화 경험
Discover how SK Telecom optimized T deal's content push system through machine learning automation, combining AI technology with telecom infrastructure for enhanced curation commerce performance.
Personalized POI Recommendations Using TMAP Driving Data
Discover how T Map's driving data powers personalized POI recommendations, using real user navigation patterns to suggest relevant destinations based on daily routines and weekend preferences.
오프라인 간편결제 서비스 확대 - 인프라 구축과 사용자 경험 개선
Discover how SK pay expands offline payment services through infrastructure development, system implementation, and enhanced user payment experiences in South Korea's digital payment landscape.
Emerging Memory Architecture Challenges with CXL Introduction
Explore CXL memory's impact on server systems through performance analysis of Meta's CacheLib and Hazelcast, examining bandwidth expansion and optimization strategies for next-gen memory architectures.
The Future is Now: Machine Learning in Mobile Advertising
Discover how operational machine learning revolutionizes mobile advertising through real-world applications and innovative solutions, focusing on Moloco's technology and its impact on digital marketing performance.
CDP와 AI 추천모델을 활용한 고객 인사이트 확보와 개인화 서비스
Discover how Tmap Mobility leverages CDP and AI recommendation models to predict customer home/work locations and enhance personalized services through advanced data analytics.
Zero-Party Data - Giving AI the Power of Understanding User Motivations
Discover how zero-party data empowers AI to understand user motivations, enabling more effective personalization and marketing strategies through direct consumer insights and preferences.
Comparison Analysis of FB Prophet, Amazon DeepAR+ and CNN-QR Algorithms for Sales Forecasting
Explore a practical comparison of leading forecasting algorithms - FB Prophet, Amazon DeepAR+, and CNN-QR - through real-world retail sales data analysis and performance evaluation.
Developing Visual AI Solutions for Online Marketplaces
Discover how AI-powered visual solutions enhance online marketplaces through improved recommendations, search capabilities, and automated product tagging while exploring deployment challenges and technical implementations.
Data Storytelling in the Era of Generative AI - Using LLMs for Interactive Consumer Research
Explore how LLMs revolutionize consumer research by transforming static data into interactive, evidence-based synthetic personas that provide dynamic, real-time insights for marketers.
Networks, Cocaine, and Fruit Flies: Studying Addiction Through Social Behavior Analysis
Explore groundbreaking research on cocaine addiction through fruit fly behavior analysis, revealing crucial insights into neurological patterns and social interactions via network-based measurements.
Growth Hacking - The Next Best Thing to Transform Digitally
Discover how growth hacking and marketing analytics drive digital transformation, featuring an interactive RFM model demonstration for enhancing customer lifetime value and business growth.