Vector Search Isn't Enough
Explore how combining vector search, generative AI, and traditional search approaches with enriched content and secure data retrieval can enhance commercial applications of Large Language Models.
Scanning IPv4 for Exposed Data and Vulnerable Databases
Exploring IPv4 scans to uncover exposed databases, revealing vulnerabilities in popular key-value stores and the risks of data theft and remote code execution in insecure setups.
Extractive Q&A With Haystack and FastAPI in Python
Build an extractive Q&A system using Haystack, FastAPI, and BERT transformer. Implement Elasticsearch with BM25 retriever for efficient information retrieval and answer generation from text documents.
Turing Lecture - AI Through the Looking Glass
AI's societal impact: opportunities, challenges, and ethical considerations. Explores job automation, socio-technical approaches, and UK's positioning in AI evolution. Emphasizes unexpected outcomes and the need for diverse perspectives.
Turing Lecture - Algorithmic Accountability - Professor Ben Shneiderman, University of Maryland
Exploring algorithmic accountability and human-centered oversight for safer AI systems. Emphasizes comprehensible, predictable, and controllable designs to prevent failures and improve safety in critical services.
Turing Lecture - Chief Scientific Advisor for the Department of Transport, Phil Blythe
Explore evolving transport techniques, from aging infrastructure to autonomous vehicles, and their impact on future travel with insights from the Department of Transport's Chief Scientific Advisor.
SIGCOMM 2020 - Server-Driven Video Streaming for Deep Learning Inference
Explore server-driven video streaming for deep learning inference, including real-time camera set heuristics, object detection, and experimental results.
Separations and Equivalences Between Turnstile Streaming and Linear Sketching
Explore streaming algorithms, linear sketching, and their equivalences. Learn about turnstile streaming, limitations, and separations in bounded-degree triangle counting and insertion-only algorithms.
Hybrid Classical-Quantum Algorithms
Explore hybrid algorithms combining quantum and classical computing for optimization and inference, leveraging strengths of both platforms to solve complex problems efficiently.
Understanding Unstructured Data with Language Models - Alex Peattie
Explore language models for unstructured data analysis, covering classification, predictive modeling, and information retrieval. Learn key concepts and practical applications in various fields.
Boston Data Mining - A High-Performance Implementation of Bayesian Clustering
Explore Bayesian nonparametric methods and probabilistic machine learning, focusing on the Chinese Restaurant Process for clustering. Learn optimization strategies for applying these models to big data.
Building a Recommender: Best Practices with Apache Mahout and Solr - Emerging Technologies 2014
Building a recommender system using Apache Mahout and Solr: best practices, data selection, co-occurrence analysis, and deployment techniques for rapid, production-ready recommendations.
Tools for Building the Real-Time Organization
Explore tools and architectures for processing real-time data streams, enabling organizations to make faster, better decisions through event-based systems and reactive platforms.
Data Mesh and Microservices: Leveraging Trusted Data Events with GoldenGate
Explore Data Mesh principles, microservices architecture, and GoldenGate's role in creating trusted data events for improved business outcomes and distributed data management.
Intelligent Model Deployment and Consumer Pipeline With DataRobot AI Cloud Platform
Explore DataRobot AI Cloud's MLOps capabilities, including model deployment, registry, and inference. Learn to deploy models from leaderboards and consume them via API, stream, local mode, and job workflows.
Better Data Drives Better Analytics with Informatica Intelligent Data Management
Discover how Informatica's Intelligent Data Management Cloud enables real-time data integration and quality for Azure Synapse, ADLS, and Power BI, empowering businesses to create impactful analytics.
Search and Discovery in News and Research - Dr. Anju Kambadur
Explore Bloomberg's AI-driven search and discovery system for financial news, leveraging machine learning and NLP to parse unstructured data and provide valuable insights for clients.
The Power and Limitations of Kernel Learning
Explore kernel learning's potential and limitations in modern machine learning, including practical implementations, comparisons with state-of-the-art methods, and insights into overfitting and acceleration.
Accelerating the Journey to Document Understanding AI
Unlock document value with AI: transform unstructured data into actionable insights using Vision and NLP. Learn possibilities, capabilities, and implementation strategies for Document AI technology.
Storm: Realtime Distributed Computing with Nathan Marz - ETE 2012
Explore Storm for real-time data processing, covering concepts, development, deployment, fault-tolerance, and practical applications in distributed computing environments.
Building a Petabyte-Scale Cybersecurity Data Mesh in Azure with Delta Lake - HSBC Case Study
Explore HSBC's innovative approach to building a petabyte-scale cybersecurity data mesh in Azure, leveraging Delta Lake to address unique challenges and empower analysts with a unified, scalable platform.