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Blog
- 10 Takeaways from Gartner Data & Analytics Summit, London, May 22-24
- 3 Real Capital Markets Examples that Unlock GenAI Value
- 3 Steps To Make Your Generative AI Transformative Use Cases Sticky
- 5 Steps to Building AI-Ready Trading Systems
- A developers guide to JSON parsing in kdb+
- Accelerating Python Workflows using PyKX
- Accelerating Python: From Research to Production
- Accelerating Quant Research: An Engine for Speed
- Achieving Simultaneous Execution of a Function Across Multiple kdb+ Processes
- Advance your Defence operations: Turn data into tactical advantage
- Agentic trading in capital markets: Where ethics, risk, and alpha collide
- AI factory 101: An AI-readiness assessment framework
- AI factory 101: How to build an AI factory
- AI scalability is a tightrope. Can your firm keep its balance?
- Analytic development using PyKX – Part 1
- Analyzing stock prices with KDB.AI
- Automated Machine Learning in kdb+
- Automation at the Edge with EnterpriseWeb
- Backtesting at scale with highly performant data analytics
- Benchmarking KDB-X vs QuestDB, ClickHouse, TimescaleDB and InfluxDB with TSBS
- Benchmarking Specialized Databases for High-frequency Data
- Boost your LLM's IQ with multi-index RAG
- Build RAG-Enabled Applications with LlamaIndex and KDB.AI
- Built for speed: How kdb+ deferred response keeps systems responsive
- Business Intelligence: Engines & Horses for Courses
- Celebrating KXperts: A year in review
- Climbing the crowded mountain: Generating alpha with high-performance analytics
- Competitive cognition: Why agile intelligence wins in a volatile world
- Creating Bullet Graphs in KX Dashboards
- Critical Steps in the Digital Transformation & Analytics Journey
- Crypto analytics at scale: How B2C2 trades smarter in a 24/7 Market
- Crypto Currencies and Digital Assets Come of Age
- Cultivate Sustainable Computing With the Right ‘per Watt’ Metrics
- Current Status Industry 4.0 with AI and Smart Manufacturing
- Data Analytics and the Innovative Energy Transition
- Data Enables Utilities to Deliver with the Flick of a Switch
- Database Maintenance with q
- Democratizing Financial Services: Tier 1 Tooling Without the Expense
- Detect, Determine, Act – How Applied Observability can Drive Better Decision Making Across the Enterprise
- Discover kdb+ 4.1’s New Features
- Dreams of Paris, and Anomalies and TCA
- Dynamic Modeling of Covid-19
- E-trading’s evolution isn’t just a matter of time
- Eight common mistakes in vector search and how to avoid them
- Eight ways PyKX is transforming Python integration and expanding access to kdb+
- Elevate Your Data Strategy With KDB.AI Server Edition
- Embracing a new era: kdb+ unleashed for everyone
- Empowering innovation at ADSS with PyKX
- Enhancing Your kdb+/q Toolkit: Real World Examples of Iterators
- Faster than real time: Scaling AI to predict, decide, and act before markets move
- Five new rules of building apps with streaming data
- Five steps to an enterprise nervous system
- Five ways capital markets firms can ensure their data culture is AI-ready
- Five ways to manage hallucinations to leverage AI with confidence
- Force multiplier: Unlocking the strategic value of Defence data at speed and scale
- From AI insights to AI-driven decisions: Accelerate innovation with temporal intelligence
- From documents to insights: Advanced PDF parsing for RAG
- From insight to impact: Unlocking defence data with real-world use cases
- From lab to ledger: Six ways AI factories drive ROI in the AI era
- From obligation to opportunity: Redefining best execution
- From ticks to tweets: Combining structured and unstructured financial data with KDB-X
- Get started with kdb Insights 1.10
- Getting Smart in Smart Manufacturing
- GPU accelerated deep learning with kdb+
- GPU accelerated deep learning: Real-time inference
- GPU acceleration in KDB-X: Supercharging as-of joins and sorting
- GPU-accelerated deep learning: Architecting agentic systems
- Harnessing multi-agent AI frameworks to bridge structured and unstructured data
- How Access to Real Time Data Empowers Foreign Exchange Trading
- How AI assistants are transforming capital markets: Faster research, smarter portfolios, and deeper client relationships
- How developers are shaping the future of KDB-X
- How do hedge funds stay ahead in the great quant convergence?
- How FX desks can thrive amid volatility and market fragmentation
- How high-context analytics sharpen trading decisions and reduce risk
- How leading hedge funds turn real-time data into alpha: 6 key capabilities quants need today
- How modern market makers stay ahead in volatile markets
- How speed beats slippage when managing crypto market volatility
- How time-series analytics transforms post-trade analysis
- How to Avoid A Goat In Monte Carlo – Elegantly
- How to Build and Manage Databases Using PyKX
- How to make sure your organization’s culture is ready for GenAI
- How to navigate the ‘rule of toos’ in GenAI and capital markets
- How to stop your RAG going rogue
- How to Utilise and Leverage Big Data and Analytics
- Hybrid data: The key to unlocking generative AI accuracy
- Implementing RAG with KDB.AI and LangChain
- Inside KDB-X webcast : Modules, performance, and next-gen developer experience
- Insights from the KX Capital Markets Data Report 2026
- Introducing kdb Insights 1.9
- Introducing KDB.AI 1.3
- Introducing The KX Delta Platform 4.8.1
- It’s about time. Five reasons why KX is the leader in real-time analytics
- kdb Insights Enterprise on Azure is now General Availability (GA)
- KDB-X Public Preview: The next-gen kdb+ is here
- KDB-X webinar recap: Build, analyze, and innovate on the next generation of kdb+
- KDB-X: Next-gen kdb+ is here – and it's built different
- KDB-X: The next era of kdb+ for AI-driven markets
- KDB‑X AI libraries: Faster semantic, time series search for real‑world systems
- kdb+ and the History of the q Phrasebook
- Kdb+ Features In Dell STAC-M3™ Benchmark Tests
- Kdb+ Version 4.0 - Faster, More Secure
- KX & Snowflake: Empowering Snowflake with Up to 100x Faster and More Efficient Vector and Time Series Analytics
- KX and the Urban Institute: Enabling smart cities through data analytics
- KX named in AIFinTech100 list for solving AI’s real-time data challenges in financial services
- KX product insights: Benchmark manipulation
- KX Product Insights: Insider Trading Alert
- KX Product Insights: Streaming ChartIQ in KX Dashboards
- KX Product Insights: What’s in a Baby Name?
- KX recognized as ‘Best Transaction Cost Analysis Solution for Best Execution’
- KX recognized as one of the top 100 AI fintech companies globally
- KX Releases the kdb Visual Studio Code Extension
- KX v DBOps Benchmarks
- KX Wins A-Team Insight’s AI in Capital Markets Award for Best AI Solution in High-Performance Data Processing
- KX’s kdb+ and Intel® Optane™ Persistent Memory Attain Several World Records in STAC-M3 Financial Services Benchmarking
- KXperts: The role of kdb+ in quantitative research
- Law Enforcement With Data – it’s Elementary
- Lessons from the Gartner Data and Analytics Summit
- Lessons you can learn from GenAI high performers
- Level up with kdb Insights 1.13
- Levelling the playing field: How PyKX democratizes data analytics for firms of all sizes
- Logging Best Practices in kdb+
- Market data magic with kdb Insights SDK
- Mastering data in Defence: Turning information overload into strategic advantage
- Mastering fixed income trading with ICE accelerators on kdb Insights Enterprise
- Mastering kdb+ compression: Insights from the financial industry
- Mastering memory mapping in kdb+
- Mastering RAG: Precision techniques for table-heavy documents
- Mastering TAQ data analysis with kdb+
- Maximising Success when Migrating Big Data Workloads to the Cloud
- Modernizing infrastructures that mix Python and q
- Multimodal AI: Harnessing diverse data types for superior accuracy and contextual awareness
- Navigating AI skepticism: A path forward for capital markets
- Nearly half of UK students see coding skills as vital for future career prospects
- OAuth2 authorization using kdb+
- Overcoming AI Challenges with KDB.AI 1.1
- Partitioning Data in kdb+
- Pattern matching with temporal similarity search
- Predict machine failure with temporal similarity search
- Proactive risk management: Navigating market uncertainty with advanced analytics
- PyKX 3.0: Easier to use and more powerful than ever
- PyKX Highlights 2023
- PyKX open source, a year in review
- PyKX: Run Python, q the Speed
- Python for Data Analysis… is it Really That Simple?!
- Real Time Response to Real Time Events
- Real-Time Data, SaaS, and the Rise of Python – a Prediction Retrospective
- Revolutionizing video search with multimodal AI
- Scale vector search with partitioning on KDB.AI
- Security made simple: How to protect kdb+ with IAM
- Seven ways kdb+ powers advanced quantitative research
- Should capital markets favor discriminative AI and traditional ML solutions over GenAI? Yes – and also no
- Simultaneous search: How agentic AI searches smarter, not harder
- Single-Page Applications and kdb+: React
- Six ways kdb+ drives quantitative success at B2C2
- Slim Down That Python with PyKX
- Solving the crypto liquidity puzzle
- Stop Stuffing Your Time Series Data into Your Data Warehouse Like it’s Your Sock Drawer
- Streamline FX trading with KX Flow
- Structure, meet serendipity: Integrating structured and unstructured data for left- and right-brain decisions
- Supercharge hardware evaluation with KX Nano: An open-source benchmark tool
- Surveillance at the Sharp End
- Survival of the fastest: Why firms must break the AI ‘sound barrier’
- Survival of the Fastest: Winning in the real-time economy
- Tackling Data Challenges with KX and Capco: A Fresh Perspective
- The AI horizon and the human factor in FX trading
- The AI value factory: Turning real-world data into real-time impact
- The digital asset frontier: Where real-time analyics unlock untapped opportunities
- The end of high dimensions: Matryoshka learning is revolutionizing AI search forever
- The exponential opportunity: Tactical and strategic data exploitation
- The misunderstood importance of high-fidelity data
- The Montauk Diaries
- The New Data Frontier
- The new dynamic data duo: Structured meets unstructured data to win on the generative AI playing field
- The Power of Parallelism within kdb
- The rise of the citizen data scientist: How GenAI is democratizing data in finance
- Through the storm: Mastering digital asset volatility with real-time analytics
- Tick architecture: simplicity and speed, the kdb+ way
- Time is the Best Medicine
- Tips, tricks, and solutions from the kdb+ community
- Transforming Enterprise AI with KDB.AI on LangChain
- Treliant: A Cloud-Native Trade Analytics App in 10 Lines of Code with kdb Insights
- Turbocharge kdb+ databases with temporal similarity search
- Turbocharging Data Analytics with KX on Databricks
- Tutorial: Analyzing data with KDB-X SQL
- Tutorial: Detect crypto patterns with KDB-X TSS
- Tutorial: Dynamic time warping with KDB-X
- Tutorial: Fuzzy filters for symbol changes with KDB-X AI-Libs
- Tutorial: Hybrid search with BM25 in KDB-X AI libraries
- Tutorial: Master time series and historical analysis with KDB-X
- Understand the heartbeat of Wall Street with temporal similarity search
- Unlock new capabilities with KDB.AI 1.4
- Unlock real-time market intelligence with KDB-X MCP server
- Unlock the power of modern search re-ranking
- Unlocking Advantage with Cloud-Driven Architecture
- Unlocking competitive advantage with real-time data in capital markets
- Unwrapping rlwrap
- Visualizing Covid-19
- Visualizing Cycles Using KX Dashboards
- Webcast: Three innovative quant trading applications and three ideas everyone should steal
- Webinar: Next-gen analytics in capital markets with NVIDIA
- Webinar: Six best practices for optimizing trade execution
- What makes time-series database kdb+ so fast?
- What to look for in a time series database
- What’s new with Insights 1.11
- When seven microseconds change everything: Inside an AI banking agent
- Why capital markets are adopting GPUs and how KX and NVIDIA help accelerate the shift to AI-ready infrastructure
- Why FX analytics fail when it matters most
- Why hedge funds need a unified data layer
- Why high-fidelity, timely data drives better hedge fund analytics
- Why real-time analytics wins in capital markets
- Why you're probably using the wrong embedding model (and it's costing you)
- Winning first time, every time: why data is our best defence
Resources
- 11 insights to help quants break through data and analytics barriers
- 7つの革新的トレーディングアプリ（および実践できる7つのベストプラクティス）
- A first look at PyKX 3.0
- Accelerating algorithmic trading with kdb Insights
- Accelerating Analytics with KX and Intel Optane Persistent Memory
- Accelerating application development with PyKX
- Access The 2025 Gartner® Hype Cycle™ for Data Management
- Addressing data capture challenges with kdb
- AI in capital markets: Drive transformative value with five real-world use cases
- AI Personalized Portfolio Construction
- AI Relationship Manager
- AI Research Assistant
- An Introduction to Neural Networks with kdb+
- Analytics checklist for digital asset leaders
- Apex innovators: How hedge funds can evolve analytics at speed and scale
- Ashok Reddy on why temporal AI is the next frontier for capital markets
- Benchmark Report: High-Frequency Data Benchmarking
- Blockchains in trading
- Building crypto solutions with kdb
- Cat Turley on the future of trading analytics and getting more from your data
- CEBR Report - The Speed to Business Value
- Chris Dale and Nikos Tsoskounoglou on scaling quantitative trading at ADSS
- Cultivate sustainable computing and environmentally responsible analytics in an AI age
- Data as a service
- Deep Learning Forecasting
- Delivering on ESG with Technology, Through Technology
- Dispatches from the financial frontier to the defence front line
- Drag and drop application design with kdb Insights Enterprise
- Embracing kdb+/q for a new service line
- Emerging trends in the data and technology industry
- Erin Stanton on how Virtu Financial is redefining data readiness for AI success
- Experts panel: Creating resilience through real-time intelligence | KX Capital Markets Summit 2025
- Fincrime and trade surveillance, in real-time
- Forrester TEI Report of KX Insights
- Forrester: The Total Economic Impact of kdb
- From insight to alpha: How top quants are integrating AI in 2026
- Harnessing the power of Generative AI for customer success
- Hedge Funds analytics checklist
- Heidi Lanford on AI leadership, organizational alignment, and overcoming adoption barriers
- High Frequency Data Benchmarking
- High performance, real-time event processing with PyKX
- Implementations in Generative AI
- ING and KX: Powering the next wave of AI in capital markets | KX Capital Markets Summit 2025
- Installing Insights Enterprise on Azure
- Introducing KX Insights
- Introduction to time series databases
- James Corcoran from STAC on performance benchmarking, AI infrastructure, and the new economics of LLMs
- Judith Gu on diagnosing model failure in high-frequency trading
- kdb Insights Enterprise Backtesting
- kdb Insights Enterprise Digital Assets
- kdb Insights Enterprise on Microsoft Azure
- kdb Insights Enterprise Pre-Trade Analytics
- kdb Insights Enterprise Transaction Cost Analysis
- kdb Insights, config, pro-code
- KDB.AI Pattern and Trend Analytics
- KX & Snowflake
- KX Cobalt and Blockchain Whitepaper
- KX Compendium of Technical White Papers
- KX Core Developments
- KX Real-Time Visibility
- KX spotlight: Utilismart corporation
- Late chunking vs contextual retrieval
- Liquid rescaling: Dynamic content aware image resizing in kdb+/q
- Mark Palmer explains how GenAI can drive real value in capital markets
- Matching algorithms in kdb+/q
- Optimize Your Algo Trading Models: Tick Data Best Practices
- Optimize Your Execution: Trading Research Best Practice
- Parsing binary files in q
- Performance trends STAC
- PyKX Datasheet
- Python for kdb
- Quant research with KX Insights
- Quant trading data management by the numbers
- Real-Time Alpha & Beta Extraction
- Returns and volatility: Is it correlation, causation, or coincidental? | KX Capital Markets Summit 2025
- Seven innovative trading apps (and seven best practices you can steal)
- StratMaker - kdb in digital asset
- Supercharging your Legacy Systems with KX
- Supercharging your quants with real-time analytics
- Switching to offense: How KX helps hedge funds flip the playbook on volatility with high-performance analytics
- Switching to offense: Flipping the playbook on volatility with high-performance analytics
- The architecture of signal generation | KX Capital Markets Summit 2025
- The edge is back | KX Capital Markets Summit 2025
- The KX Capital Markets Data Report 2026: Aligning quants and IT leadership for market advantage
- The only constant is volatility: Outpacing FX swings with real-time analytics
- The science of price impact modelling with kdb
- The ultimate guide to choosing embedding models for AI applications
- The ultimate guide to chunking
- The ultimate guide to re-ranking
- Three innovative quant trading apps and three ideas everyone should steal
- Time Series Opportunities for Real Time Payments
- To Spoof or not to Spoof - That is the Question
- Transforming data science with PyKX a comprehensive guide to onboarding
- Vector thinking for max profit with Phineas Porter
- Winning the digital asset race: Real-time analytics for an evolving market
- Zipabout at KX Live London
- リアルタイム分析でクオンツパフォーマンスを飛躍的に向上
- 数字で見るクオンツトレーディングデータマネジメント
- 競合他社を出し抜く：デジタル資産競争で勝利を収める
