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1y drivers for adoption. You’ll hear the latest market research, and real-world experiences for a deeper understanding of modern data architecture strategies to better navigate this evolving space. Speakers",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/dbta_webinar_screenshot.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/sl70z8dhsp"},{slug:"acams-assembly-usa-2023",title:"ACAMS Assembly USA 2023",description:"",type:"Conference",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Learn More",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"accelerating-data-powered-disaster-response-for-utilities-with-disaster-technologies-and-kinetica",title:"Accelerating Data-Powered Disaster Response for Utilities with Disaster Technologies and Kinetica",description:"MEET THE HOSTS: Sean Griffin, CEO, Disaster Tech & Samm DiStasio, VP of Business Development, Kinetica Utilities are constantly dealing with threats and hazards, including hurricanes and wildfires, that disrupt service, threaten citizen safety, and incur significant damages. For emergency managers tasked with preparing for disasters as well as coordinating swift disaster response, leveraging data and analytics to enhance operational workflows is critical. In this Tech Talk, we’ll share how Disaster Tech has developed an innovative platform to help emergency managers and utilities analyze and visualize data at massive scale and high performance to optimize disaster response and accelerate time to restoring services. IN THIS TECH TALK WE’LL DISCUSS: How Disaster Tech, Kinetica, and NVIDIA, partner to offer a “single pane of glass for data and analytics” for emergency managers at utilities How the Disaster Tech platform helps utilities to better serve their communities and while also saving time, money, and lives Example applications of the Disaster Tech platform for utilities where new capabilities are unlocked through the […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Sean-Griffin-Disaster-Tech.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/kbpx09g3an"},{slug:"active-analytics-for-dynamic-inventory-replenishment",title:"Active Analytics for Dynamic Inventory Replenishment",description:"For retailers, ensuring products are always in stock is a top priority. However, with the complexity of the modern supply chain and the sheer number of SKUs involved, this is a significant logistical challenge. In this webinar learn how Kinetica works with one of the world’s largest retailers to power dynamic inventory replenishment.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/saif-ahmed.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/sjrbpvitui"},{slug:"amazon-redshift-expectations-vs-reality-how-to-lower-your-tco",title:"Amazon Redshift: Expectations vs Reality & How to Lower Your TCO",description:"Hosted by: Mathew Hawkins, Sr. Director of Solutions Engineering, Kinetica Migrating from Redshift to Kinetica has never been easier and offers better performance and lower TCO. Kinetica’s Streaming Data Warehouse integrates with Kinesis and 

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The growth of streaming data sources is driving the need for real-time geospatial, graph analytics, and machine learning capabilities at scale. These high velocity use cases require a streaming data warehouse, a platform delivering up-to-the-second analysis on data as it arrives. During this webinar, learn about how the Kinetica Streaming Data Warehouse is suited for real-time analysis and high-velocity, high-scale use cases. Register Now Learning objectives: Best practices for developing a system architecture for a streaming data warehouse Integrated model training with NVIDIA RAPIDS Autonomous Kubernetes orchestration Comprehensive model auditing Accelerated geospatial and graph analytics at scale using the raw processing power of the NVIDIA GPU Example implementations from our work with federal clients, including the Department of State and the U.S. Postal Service, where we optimize routes in real-time for carriers and 250,000+ vehicles Hosted By:",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/home-public-sector.jpg",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"bring-your-own-stream-deploying-algorithms-closer-to-data-for-real-time-analysis",title:"Bring Your Own Stream: Deploying Algorithms Closer to Data for Real-Time Analysis",description:"MEET THE HOSTS: Nima Negahban – Founder & CTO – Kinetica, Tim Barr – Director, Federal Solution Engineering – Kinetica The growth of streaming data sources is driving the need for real-time geospatial, graph analytics, and machine learning capabilities at scale. These high velocity use cases require a streaming data warehouse, a platform delivering up-to-the-second analysis on data as it arrives. Learn why legacy systems won’t hold up and why the Kinetica Streaming Data Warehouse is suited for real-time analysis and high-velocity, high-scale use cases. DURING THIS WEBINAR WE WILL COVER: Best practices for developing a system architecture for a streaming data warehouse Integrated model training with NVIDIA RAPIDS Autonomous Kubernetes orchestration Comprehensive model auditing Accelerated geospatial and graph analytics at scale using the raw processing power of the NVIDIA GPU Example implementations from our work with federal clients, including the Department of State and the U.S. Postal Service, where we optimize routes in real-time for carriers and 250,000+ vehicles",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/mugs-nima.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/3gqleyjtia"},{slug:"building-real-time-location-intelligence-apps",title:"Building Real-Time Location Intelligence Apps",description:"The ability to track and analyze location data in real time has become increasingly important for businesses and organizations across various industries. Whether it’s to optimize delivery routes, monitor fleet vehicles, or track assets, real-time location intelligence apps have become essential tools for decision-making and business operations. In this webinar, we will: Explore the fundamentals of building real-time location intelligence apps, including key enabling technologies like spatio-temporal databases and real-time data streaming. Dive into the key features and functionalities that are crucial for real-time location intelligence apps, such as real-time tracking, geofencing, and event triggering. Cover the best practices and strategies for designing and implementing real-time location intelligence apps, including scalability and performance optimization in the cloud",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/brtla.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://www.youtube.com/embed/PNqkEKDWhJk"}

1,{slug:"cdao-europe-digital-event",title:"CDAO Europe – Digital Event",description:"",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Screen-Shot-2020-11-04-at-8.17.51-AM.png",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"covid-19-and-supply-chain-agility-how-a-streaming-data-warehouse-keeps-you-always-on-time-and-fully-stocked",title:"COVID-19 and Supply Chain Agility: How a Streaming Data Warehouse Keeps You Always On-Time and Fully Stocked",description:"Hosted by: Matt Brown, Product Manager, Kinetica & Amit Kesarwani, Principal Solutions Engineer, Kinetica The supply chain and logistics ecosystem faces more complexities than ever before with drastic fluctuations in supply and demand. With modern tools, you can harness the wealth of data available today to respond with in the moment, data-driven decisions. In this talk we will show how Kinetica seamlessly brings together relational, graph and ML analytics on streaming data to solve supply chain and logistic use cases. DURING THIS TALK WE WILL COVER: How real-time analytics can be applied predictively, or post-mortem Deploying a predictive model in Kinetica for demand forecasting Leveraging streaming data to gain real-time visibility into your supply chain Using graph solvers to execute route optimization and exception management Applying powerful visualization and geospatial analytics for fleet management",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/t4h8h1fqa9"},{slug:"data-driven-planning-to-make-cities-smarter-an-end-to-end-iot-example",title:"Data Driven Planning to Make Cities Smarter, an End-to-End IoT Example",description:"MEET THE HOSTS: Antonio Cotroneo, Sr. Solution Engineer, Emerging Analytics, Kinetica  /  Nohyun Myung, Director, Emerging Analytics, Kinetica This demo-driven session explores a smart city use case with Kinetica that blends location data, stream processing, and historical analytics into a custom application. We’ll show an active analytical app where real-time GPS data from local vehicles is monitored, visualized, and analyzed. IN THIS SESSION WE’LL DEMONSTRATE HOW TO

1: Stream high volumes of dynamic GPS observations Perform historical data exploration Conduct a scenario planning study using native graph and geospatial analytical capabilities",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Antonio-Cotroneo.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/sz86r16b5y"},{slug:"developing-smart-analytical-apps-with-kinetica",title:"Developing Smart Analytical Apps With Kinetica",description:"MEET THE HOST: Matt Brown, Product Manager, Kinetica As an app developer, it’s exciting to create innovative apps that enable the business to achieve things that were previously impossible. If you are looking at Kinetica, it’s likely you are being asked to scale applications working with streaming, geospatial and machine learning. In this session, we’ll show you how easy it is to build these kinds of applications on top of the Kinetica Streaming Data Warehouse. In this session we’ll cover: When requirements for “Smart Applications” call for “Active Analytics” How Kinetica keeps you out of the stack administration business Overview of common types of applications for Kinetica: Geospatial and ML Tools of the Trade: SQL, APIs, UDFs, Graph, Mapping, and Charting Demo applications for Geospatial and Machine Learning",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/matt-brown.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/534y290hz4"},{slug:"earth-challenge-2020-helping-citizen-science-grow-and-scale",title:"Earth Challenge 2020: Helping Citizen Science Grow and Scale",description:"MEET THE HOSTS: Anne Bowser – Director, Innovation – Wilson Center; Jon Nordling – Founder and CEO – GeoMarvel; Tim Barr – Director, Solutions Engineering – Kinetica April 22nd, 2020 was the 50th anniversary of Earth Day. In recognition of this milestone Earth Day Network, the Wilson Center, the U.S. Department of State, and many others launched Earth Challenge 2020 as the world’s largest coordinated citizen science project to date. Earth Challenge seeks to involve millions of people in collecting and sharing 1 billion open, interoperable data points across six research areas: air quality, plastics pollution, food security, insect populations, water quality, and climate change. Beginning with research and data analysis on insect populations in celebration of National Honeybee Day, this Tech Talk will introduce the project and showcase how Kinetica and other technologies are helping to engage people around the world to collect and share data to advance research and inform policy action. Citizen scientists can contribute to data collection for research purposes and enhance algorithms through feedback.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/253-0-4.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/bgrj7oh8m1"},{slug:"enabling-data-powered-emergency-response-a-smart-application-example-with-kinetica",title:"Enabling Data-Powered Emergency Response, A Smart Application Example With Kinetica",description:"For retailers, ensuring products are always in stock is a top priority. However, with the complexity of the modern supply chain and the sheer number of SKUs involved, this is a significant logistical challenge. In this webinar learn how Kinetica works with one of the world’s largest retailers to power dynamic inventory replenishment.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/nohyun-e1590617033440.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/t2ksdeepsm"},{slug:"enabling-real-time-customer-insights-and-network-planning-for-telcos",title:"Enabling Real-Time Customer Insights and Network Planning for Telcos",description:"As the forces of 5G and IoT transform the way companies do business, new solutions are needed to deal with the scale, complexity, and speed of data. In this joint webinar with Deloitte, we’ll explore why an active analytics approach is critical for telcos looking to optimize their existing networks, prepare for 5G, and deliver next-generation services.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/deloitted-featured.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/1dkt624i9z"},{slug:"enhance-financial-services-applications-with-machine-learning",title:"Enhance Financial Services Applications with Machine Learning",description:"In this webinar we’ll explore how Kinetica and RAPIDS, NVIDIA’s GPU-accelerated data science libraries, enable financial services organizations to more accurately model, value, manage real estate assets, at scale, to gain an edge and increase profits.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/finance_bg.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/ornm8cdyls"}

1,{slug:"first-independent-benchmark-of-spatial-and-time-series-databases",title:"First Independent Benchmark of Spatial and Time-Series Databases",description:"Organizations are increasingly incorporating geospatial data to assess data trends that are often difficult to see. Combing geospatial data with real-time and IoT data adds a layer of analytics capability that can help companies unlock more profound insights, provide a complete picture of behaviors, develop new lines of business for a competitive edge, and improve operations such as marketing and customer service. Analyzing location-enriched IoT and time series data still presents new challenges to data analytics practitioners and vendors. Spatial and time-series analysis requires non-traditional joins, filters, and specialized analytic functions. Despite the growth in data volumes and commercial interest, there was no framework in the marketplace to help organizations evaluate database technologies suitable for these workloads. This exciting webinar will offer an opportunity to learn about a new independent Space and Time Benchmark research assessing the performance of leading databases. Join in this interactive learning session to understand – Business questions and scenarios that require spatial and time-series data as the basis for the benchmark study Database […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Screen-Shot-2022-09-06-at-6.54.59-AM.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/s9np7ibmsa"},{slug:"geogov-summit-2023",title:"GeoGov Summit 2023",description:"",type:"Conference",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Learn More",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"geospatial-meets-generative-ai-simplifying-location-intelligence-with-large-language-models",title:"Geospatial meets Generative AI: Simplifying Location Intelligence with Large Language Models",description:"Generative AI is a game-changer, and its latest breakthroughs in geospatial analytics are creating a clear divide between analysts who embrace its potential and those who do not. Generative AI empowers analysts to unlock profound insights, become 10X more productive, and enables them to make significant strides in their respective fields. In this webinar, we will showcase Kinetica’s advanced Generative AI capabilities that simplify the authoring of sophisticated geospatial algorithms against massive data sets. Participants will witness how complex geo-joins, ST_Geometry functions, and geo-graph solvers can now be outputted by a Large Language Model (LLM) by simply expressing the question in English, and then executed within seconds.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/ai_webinar_thing.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://www.youtube.com/embed/8Agyj1ut4JI"},{slug:"get-10x-faster-performance-on-1-10th-the-cost-of-your-hadoop-stack-let-us-prove-it",title:"Get 10x Faster Performance on 1/10th The Cost of Your Hadoop Stack, Let Us Prove It",description:"MEET THE HOSTS: Amit Vij, President & Co-Founder, Kinetica & Nima Negahban, CTO & Co-Founder, Kinetica In recent years, “Big Data” has evolved to meet the rising demand of streaming data, cloud data warehousing, graph analytics, location intelligence and machine learning. And as a result, the world of Hadoop has grown overly complex, with bolt-on components to satisfy each of these new requirements and analytic techniques. Today, more and more data is moving to the cloud, in an effort to simplify and consolidate the data ecosystem. Object stores from the cloud platform players are increasingly replacing HDFS for its cost effectiveness over HDFS. However both object stores and HDFS have a poor price-performance ratio when it comes to complex analytics. There is a clear opportunity for a solution that can complement or replace components of the Hadoop ecosystem that simplifies complex architectures, is highly performant, cost effective, supports complex workloads, and delivers the continuous results organizations now require. IN THIS TALK WE WILL DISCUSS: How to simplify the […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/mugs-amit.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/25st8tuqow"},{slug:"getting-the-gist-of-kinetica-geospatial-location-intelligence",title:"Getting the GISt of Kinetica – Geospatial Location Intelligence",description:"Hosted By: Matt Brown, Product Manager, Kinetica Location is everything! So how can you create location-enhanced applications that transform your business? Kinetica provides broad capabilities for geospatial queries and visualization. The real power comes from blending historical data with streaming data, geospatial processing, and using location intelligence in machine learning. IN THIS SESSION, WE’LL COVER: The basics of working with geospatial data at scale How to blend geospatial data with other kinds of analytics in Kinetica A demo of Kinetica’s location intelligence capabilities      ",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/matt-brown.jpeg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/lip39ea00i"},{slug:"gpu-technology-conference-digital-march-23-26-2020",title:"GPU Technology Conference |  Digital | March 23-26, 2020",description:"Join over 10,000 developers and 600+ expert sessions at GTC. NVIDIA’s GPU Technology Conference (GTC) is a global conference series providing training, insights, and direct access to experts on the hottest topics in computing today.",type:"Conference",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Learn More",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"gtc-2024",title:"GTC 2024",description:"",type:"Conference",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Learn More",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"high-performance-gpus-with-a-startup-friendly-price-tag",title:"High Performance GPUs with a Startup-friendly Price Tag",description:"GPU computing solutions have the potential to address big global problems, and startups around the world are developing AI and compute-intensive apps to make it happen. Oracle and NVIDIA Inception have committed to help more AI startups achieve scale through a joint offering of their global startup programs. Oracle Cloud Infrastru

1cture offers startups high performance with the flexibility and lower cost of cloud.",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"how-to-be-an-ai-maestro-with-kinetica-active-analytics-workbench-aaw",title:"How To Be An AI Maestro With Kinetica Active Analytics Workbench (AAW)",description:"MEET THE HOST: Zhe Wu, Data Scientist, Kinetica Kinetica simplifies and accelerates data science and machine learning in a scalable way. With Kinetica Active Analytics Workbench (AAW), users can ingest data, train models, make inferences, and audit models. THIS SESSION WILL DETAIL HOW DATA SCIENTISTS AND ENGINEERS CAN: Deploy any containerized ML model Fine-tune the model performance How to audit historical inferences made by deployed models",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/zhe-wu-1.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/yy3gifaj8t"},{slug:"how-to-combine-text-search-geospatial-and-machine-learning-techniques-for-streaming-data-analysis",title:"How to Combine Text Search, Geospatial and Machine Learning Techniques for Streaming Data Analysis",description:"Kinetica is known for streaming, geospatial, graph, and location analytics and machine learning – but did you know we also have powerful text search functionality? Our platform’s ability to combine analytical techniques like text search with complex, fast moving data and machine learning at scale is a powerful, unique benefit of active analytics. In this session, we’ll explore Kinetica’s full text search capabilities, show you how to utilize full text search on streaming geospatial data, and leverage text search for feature extraction. We will cover: Powerful Kinetica text search capabilities How to use Kinetica full text search Demo real-time geospatial data using full text search Applying text search to real-time data feeds for feature extraction to train models",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Rydel-Pereira.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/43itwplsyf"},{slug:"how-to-connect-kinetica-to-confluent-and-apache-kafka-for-stream-processing",title:"How to Connect Kinetica to Confluent and Apache Kafka for Stream Processing",description:"Master stream processing so your organization can react quickly to current conditions.",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/tony-hajdari.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/q3rtjm5av4"},{slug:"how-to-harness-all-of-your-data-not-just-text-to-deliver-reliable-real-time-answers-with-genai",title:"How to Harness All of Your Data (Not Just Text) to Deliver Reliable, Real-Time Answers With GenAI",description:"The conversation around generative AI (GenAI) has largely centered on its ability to process unstructured and semi-structured data, like text, images, audio, and video. However, as GenAI applications evolve to meet the complex demands of enterprise use cases—ranging from cybersecurity and network troubleshooting to comprehensive business intelligence—there is an urgent need to integrate real-time and tabular data into the equation. Achieving this requires a robust real-time retrieval engine capable of fusing insights from both 

1structured and unstructured data. This often involves executing advanced analytics, including spatial, time series, graph, and OLAP processing, alongside vector search capabilities. Join us for this insightful webinar to discover how real-time retrieval is revolutionizing GenAI applications. Learn about the innovations that are enabling these breakthroughs and explore how Kinetica is uniquely positioned to support these enterprise-scale demands in a secure, scalable manner. Tune in on Nov. 12th at 1:00 PM ET to: Speakers Nima NegahbanNima Negahban is the CEO and co-founder of Kinetica, where he pioneered the use of GPUs for real-time analytics, […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Data-Hub-450x338-1.jpg",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"how-to-run-machine-learning-at-extreme-scale-with-kinetica",title:"How To Run Machine Learning at Extreme Scale with Kinetica",description:"Hosted By: Phil Darringer, Director, Product Management, Cloud and Machine Learning, Kinetica Innovative organizations are looking to take their AI projects out of the lab and into production. Until now, this demanded several different platforms and significant data movement, making it a complex, difficult process. In this session, we’ll cover how Kinetica supports the machine learning lifecycle, from exploration to training, inferencing to AI-powered applications. IN THIS SESSION, WE’LL COVER: A demo of how data scientists can work with their favorite notebooks and Kinetica tools to explore huge data sets How to leverage GPU acceleration for fast model training Orchestrating data pipeline automation on deployment How to audit AI to improve accuracy",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/hrds9y7b8g"},{slug:"how-to-take-your-sql-to-a-new-level",title:"How To Take Your SQL to a New Level",description:"Hosted By: Pushpinder Heer, Solutions Architect, Kinetica We’ll share how to take advantage of Kinetica’s extreme parallel processing capabilities on GPUs and multicore CPUs to accelerate advanced SQL analytics. Get real-time insight on fast-moving, complex data to drive analytical applications. IN THIS SESSION, WE’LL COVER: How to process incoming data batches and streaming data in real-time How geospatial data and location intelligence can maximize your application Kinetica’s advanced SQL capabilities for dynamic analysis",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Pushpinder-Heer.jpeg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/878bjsb0z4"},{slug:"insight-at-the-speed-of-the-market-unlock-real-time-portfolio-risk-analysis-with-active-analytics",title:"Insight at the Speed of the Market, Unlock Real-Time Portfolio Risk Analysis With Active Analytics",description:"MEET THE HOSTS: Nicole Geissler Major Accounts, Financial Services, Kinetica & John Thorpe Sr. Solution Engineer, Kinetica Financial services organizations managing complex portfolios are faced with understanding billions of market transactions every day, each one with the potential to materially affect the risk exposure of their portfolio. They need to gain real time insight into risk to maximize revenue and minimize downside to meet both business and regulatory requirements. However, existing risk solutions are reaching their limit due to the speed and scale of market signals. These platforms are built from many different technologies that require complex data engineering to compute risk and lack the ability to run risk models continuously and on-demand. THIS WEBINAR WE’LL SHARE: How Kinetica converges streaming and historical analytics with integrated pricing and risk models in a single platform to unlock real-time portfolio risk analysis and explain… The value of moving from passive to active analytics for risk calculations An example architecture and demo of active analytics for portfolio risk analysis Why Kinetica […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/financial-webinar.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/0eveqgm1ry"},{slug:"intelligence-sensor-data-analytics-at-the-tactical-edge",title:"Intelligence Sensor Data Analytics at the Tactical Edge",description:"To maintain warfighting overmatch, coordinate deployed forces, and enable new warfighting capabilities, the DoD is actively looking to new programs such as the Joint All-Domain Command and Control (JADC2) strategy to ensure warfighters have maximum situational awareness. This drives the development of networks linking the cloud, command posts, combat platforms, and dismounted warfighter — including the addition of vast numbers of sensors — backed by big data processing, artificial intelligence and machine learning. With adversaries contesting all domains, including the electromagnetic spectrum, tactical network programs must forward-deploy technology to ensure continuous availability of critical information resources. This webinar covers how Kinetica plays a pivotal role in decision support and sensor data analytics at the tactical edge. Featuring Nima NegahbanCEO and Co-Founder, Kinetica Charlie KawasakiCTO, Curtiss-Wright",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/tactical-edge.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/hlyuzpud7y"}

1,{slug:"join-us-at-spatial-data-science-conference",title:"Join us at Spatial Data Science Conference",description:"Join Kinetica’s Saif Ahmed on a panel discussing the “New Types of Data for Innovative Spatial Modeling”",type:"Conference",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Learn More",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"kinetica-confluent-optimizing-real-time-analytics-for-geospatial-graph-and-machine-learning",title:"Kinetica & Confluent: Optimizing Real-Time Analytics for Geospatial, Graph, and Machine Learning",description:"MEET THE HOSTS: Rankesh Kumar, Partner Solutions Engineer, Confluent & Matt Hawkins, Director – Solutions Engineering, Kinetica In anera where more and more data is streaming into the enterprise, there is a need to expand the techniques used to build smart analytical applications.  Innovative organizations require instant insight from streaming data in order to make real-time business decisions. There is also a growing need to consolidate and simplify the analytics platform so enterprises can easily incorporate a broad range of advanced analytical techniques including location intelligence, graph analytics, and machine learning analytics, without creating further component product sprawl. Kinetica’s distributed data ingestion ensures your data warehouse can scale with your Kafka infrastructure and provide a seamless analytical experience on constantly moving data. With distributed, in memory query capabilities, graph solvers, geospatial and a scalable machine learning deployment framework – Kinetica provides a fully integrated analytics experience in a single data warehouse. IN THIS WEBINAR WE’LL EXPLAIN HOW: Kinetica and Confluent provide advanced query capability that is performant while the data […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/kconfluent.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/dw473guesh"},{slug:"kinetica-geospatial-visualization-for-tableau",title:"Kinetica Geospatial Visualization for Tableau",description:"Hosted by: Matthew Brown, Lead Product Manager, Kinetica Kinetica’s powerful server-side geospatial visualization is now available right inside your Tableau dashboards. Now you can use the BI tool you love, while effortlessly scaling the performance to millions of points. Gain real-time visibility into geospatial assets in time and space, and conduct historical forensic analysis at a scale not previously possible in Tableau. DURING THIS TALK WE WILL COVER: How to install and configure the extension How to try the extension using the built-in demo mode Using the Raster rendering mode to see points and boundaries Using the Heatmap rendering mode to generalize point data Using the track rendering mode to get a real-time view of GPS data",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/izmhri5nd8"},{slug:"kinetica-on-oracle-cloud-infrastructure-real-time-analytics-powered-by-gpus-in-the-cloud",title:"Kinetica On Oracle Cloud Infrastructure, Real-time Analytics Powered By GPUs In The Cloud",description:"MEET THE SPEAKERS: Ben Lackey – Partner Manager, Data and AI – Oracle, Collin Poczatek – Senior Member of Technical Staff – Oracle, Nick Alonso – Senior Solutions Engineer – Kinetica The Kinetica Streaming Data Warehouse enables analysis of streaming and historical data with location intelligence and machine learning. Oracle and Kinetica have been working together closely to make running The Kinetica Streaming Data Warehouse on Oracle Cloud Infrastructure (OCI) a seamless experience.  In this webinar, we’re going to take a hands-on look at how these cutting-edge technologies fit together, solving problems that were previously unsolvable.  Kinetica runs on the latest NVIDIA GPUs, available on Oracle Cloud in 26 regions across the globe.  Deployment is handled using Terraform. Kinetica’s Active Analytics Workbench for machine learning installs on a Kubernetes cluster running on Oracle Cloud as well. IN THIS WEBINAR WE WILL DISCUSS: Best practices for deploying Kinetica on Oracle Cloud How those best practices are codified in open source Terraform Demo using the Marketplace to deploy Kinetica with that Terraform […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/oracle-cloud-logo-400x336-1.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/80zqp8uv0g"}

1,{slug:"kinetica-streaming-data-warehouse-fundamentals-l-on-demand-webinar",title:"Kinetica Streaming Data Warehouse Fundamentals l On-Demand Webinar",description:"In this webinar, we’ll cover the technical details and fundamentals for getting started with The Kinetica Streaming Data Warehouse including its GPU-accelerated database, tiered storage, and machine learning capabilities. THIS TECHNICAL WEBINAR WILL COVER: An overview of Kinetica features and architecture A step by step guide to installing Kinetica A platform demo showcasing dynamic data analysis The Kinetica Streaming Data Warehouse gives organizations the performance value of up-to-the-second results that incorporate all their data in a powerful, unified architecture. Historical and streaming data of all different types receive immediate analysis, and built-in location intelligence and machine learning-powered predictive analytics offer full, decision-ready context.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Screen-Shot-2020-10-01-at-10.22.25-AM.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/wdpvosa01j"},{slug:"location-intelligence-are-you-getting-the-most-out-of-your-data",title:"Location Intelligence, Are You Getting The Most Out of Your Data?",description:"MEET THE HOSTS: Jonathan Abon, VP of Product Management, HERE Technologies & Irina Farooq, Chief Product Officer, Kinetica Did you know that businesses can stay ahead of the curve and transform data into actionable insights in near-real time? The benefits of utilizing location data include gaining contextual relevance and connecting siloed datasets. Using examples from 4G network optimization efforts and 5G network planning, this on-demand webcast discusses how organizations can realize the full potential of their data — all by harnessing the power of location. Watch now",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/photo-locations.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/1wzfsnlp6v"},{slug:"lower-false-positives-in-financial-crimes-using-chatgpt-ml-and-spatial-analytics",title:"Lower False Positives in Financial Crimes using ChatGPT/ML and Spatial Analytics",description:"",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/social-cards-expero.jpg",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"modernize-property-casualty-insurance-a-live-demo-with-kinetica",title:"Modernize Property & Casualty Insurance: A Live Demo with Kinetica",description:"This recording features a live demonstration of Kinetica’s game-changing capabilities in the Property & Casualty Insurance sector. We are living in a world with increasing catastrophic weather events and time-sensitive decision-making and fraud detection have never been more critical. Learn how Kinetica is setting a new standard for the insurance industry by enabling real-time analytics, location-based insights, and machine learning analytics for immediate, proactive action. You Will Learn: Reduced Settlement Time: Witness how Kinetica seamlessly integrates real-time data with spatial and actuarial datasets to dramatically cut down the time from First Notice of Loss (FNOL) to settlement. Enhanced Claims Adjuster Efficiency: Discover how Kinetica’s platform directs claims adjusters to areas most susceptible to weather events, offering predictive insights even before disasters occur. Advanced Fraud Detection:Explore how Kinetica can enable state of the art machine learning models to operate in real-time to help insurance providers identify inconsistencies between claims and predicted damages, significantly amplifying fraud detection efforts.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/insruance_webinarsocial-cards.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/sfaokdkn3i"},{slug:"modernizing-iot-data-management-analytics",title:"Modernizing IoT Data Management & Analytics",description:"Nima Negahban, CEO of Kinetica, demonstrates how Kinetica helps streamline and simplify data management when working with IoT data and analytics.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/modernizing_iot_webinar.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/azuwkhkddz"},{slug:"modernizing-real-time-geospatial-intelligence",title:"Modernizing Real-Time Geospatial Intelligence",description:"State, local and federal governments require the ability to monitor global events to understand their potential impact on their citizens. As threats become more sophisticated, there is a growing imperative to deliver a dynamic common operating picture in real-time, against the full corpus of data, with the ability to detect new patterns across time and space In this webinar, we discussed how to: Architect real-time insights that require only a 1/10th of the data engineering effort Apply advanced Spatio-Temporal analytics to track entities across time and space that run more than 10X faster than traditional database architectures such as Palantir, Snowflake, and Oracle. Leverage computing efficiencies that reduce software and hardware budget expenditures by more than 10X",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/rt_intelligence.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/71vrjrba6q"},{slug:"mwc-barcelona-2024",title:"MWC – Barcelona 2024",description:"",type:"Conference",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Learn More",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"nvidia-gtc-bring-your-own-stream-deploying-algorithms-closer-to-data-for-real-time-analysis",title:"NVIDIA GTC – Bring Your Own Stream: Deploying Algorithms Closer to Data for Real-Time Analysis",description:"",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/kinetica-gtc-2020-banner.png",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"nvidia-gtc-geocov-toward-real-time-analytics-and-cartography-for-covid-geospatial-data-with-machine-learning-algorithms",title:"NVIDIA GTC – GeoCOV: Toward Real-time Analytics and Cartography for Covid Geospatial Data with Machine Learning Algorithms",description:"",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/kinetica-gtc-2020-banner.png",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"nvidia-gtc-optimizing-machine-learning-workloads-for-real-time-insights-downstream",title:"NVIDIA GTC – Optimizing Machine Learning Workloads for Real-Time Insights Downstream",description:"",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/kinetica-gtc-2020-banner.png",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"oracle-openworld-europe-london-uk-february-12-13-2020",title:"Oracle OpenWorld Europe | London, UK | February 12-13, 2020",description:"Come check out Kinetica in the Oracle for Startups area at Oracle Openworld Europe!",type:"Conference",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Learn More",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"predictive-pricing-using-airbnb-data-an-end-to-end-machine-learning-example-with-kinetica",title:"Predictive Pricing Using Airbnb Data: An End-to-End Machine Learning Example with Kinetica",description:"Explore how you can use machine learning to accelerate traditional data science workflows to more accurately predict and price Airbnb listings. Is pricing a stay at an Airbnb an art or a science? Let’s find out!",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Nick-Alonso.png",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"real-time-vehicle-telemetry-at-speed",title:"Real-Time Vehicle Telemetry at Speed",description:"In this webinar recording, Aaron Bossert demonstrates how Kinetica is transforming the motorsports industry by enabling racing car teams to analyze vehicle telemetry in real-time to gain a competitive edge. For the purposes of this demonstration, Aaron taps into data feeds from racecar video games to mimic data that would be received from real vehicles. Watch how easy it is to integrate Kinetica with Grafana and then perform complex analytical operations including window functions and AS-OF joins on large amounts of data to get actionable information in seconds. Kinetica unlocks the ability to evaluate car and driver performance in real-time – allowing teams to quickly iterate on race strategy.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/social-cards-telemetry-webinar.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/e8wnf4mvf9"},{slug:"resilient-and-global-active-analytics-an-introduction-to-high-availability-with-kinetica",title:"Resilient and Global Active Analytics – An Introduction to High Availability with Kinetica",description:"MEET THE HOST: Juraj Kristofik, Solutions Architect, Kinetica Do you want to keep your data warehouse running no matter what? Do you want to reduce latency for a global community of users? In this Tech Talk we’ll explore the advantages of high availability (HA) and global replication to keep systems running all the time. What happens if you lose a data center? We’ll share how you can deliver global applications with disaster recovery and fault tolerance to avoid costly outages and business disruptions. Reliable mission-critical analytical applications are important for any organization. Whether it’s real-time financial risk monitoring, on-demand inventory replenishment, or dynamic delivery truck routing; having reliable performance is critical for any data warehouse In this Tech Talk we will c

1over: An overview of a high availability architecture Implementing on premise or in the cloud Improving latency for global applications Configuring high availability with Kinetica (Active-Active, Active-Passive, N+1) Discussion of real-world use cases of HA A demo of Kinetica HA",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/187-1-4.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/6usavnosx7"},{slug:"reuters-connected-claims-usa-2023",title:"Reuters Connected Claims USA 2023",description:"",type:"Conference",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"Learn More",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"smarter-fleet-management-real-time-route-optimization-and-alerts-with-kinetica",title:"Smarter Fleet Management: Real-Time Route Optimization and Alerts with Kinetica",description:"In this webinar, Hari Subhash walks us through Kinetica’s real-time route optimization capabilities, designed to identify the most efficient paths for your delivery trucks using the Multiple Supply Demand Chain Optimization (MSDO) Graph Solver in Kinetica. Kinetica also offers real-time tracking against these optimal routes. We’ll show you how to monitor your fleet’s actual GPS locations and compare them against the planned routes. If a truck deviates significantly, our system can automatically send out alerts, allowing for immediate corrective action. This seamless integration of planning and real-time tracking ensures not only cost savings but also enhances operational efficiency.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/smart-fleet-management.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://www.youtube.com/embed/TAj9LNmizNo"},{slug:"smarter-fleet-management-real-time-route-optimization-and-alerts",title:"Smarter Fleet Management: Real-Time Route Optimization and Alerts",description:"",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"streaming-data-warehouses-a-next-generation-architecture-for-real-time-analytics-at-scale",title:"Streaming Data Warehouses: A Next-Generation Architecture For Real-time Analytics At Scale",description:"MEET THE HOSTS: Nima Negahban, Co-founder and CTO, Kinetica  / Irina Farooq, Chief Product Officer, Kinetica Developing real-time analytical applications that operate at the speed and scale of digital business requires new solutions. Join our webinar with Nima Negahban, our co-founder and CTO, and Irina Farooq, our chief product officer, to learn how Kinetica transforms the typical architecture for real-time analytics. Kinetica converges the ability to do streaming, historical, location, and graph analytics as well as machine learning on a single, unified platform to deliver unparalleled performance and simplicity. The world’s leading organizations including GSK, Citi, and the United States Postal Service trust Kinetica to power data intensive, business critical applications. IN THIS WEBINAR NIMA AND IRINA WILL DISCUSS: How the Kinetica Streaming Data Warehouse modernizes and simplifies the data infrastructure for real-time, complex analytics compared to legacy solutions Kinetica’s key differentiators: performance at scale, integrated analytics, flexible deployment, and the ability to analyze as fast as you can stream Example architectures of Kinetica in action at some […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Screen-Shot-2020-11-17-at-5.48.51-PM.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/5z4fappk93"},{slug:"tiering-kinetica-to-data-lake-scale",title:"Tiering Kinetica to “Data Lake” Scale",description:"For retailers, ensuring products are always in stock is a top priority. However, with the complexity of the modern supply chain and the sheer number of SKUs involved, this is a significant logistical challenge. In this webinar learn how Kinetica works with one of the world’s largest retailers to power dynamic inventory replenishment.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/firestations2.gif",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"track-and-analyze-billions-of-entities-in-real-time",title:"Track and Analyze Billions of Entities in Real-Time",description:"With the proliferation of sensors, more assets are being tagged with information on their location at different points in time than ever before. But our ability to analyze and act on massive amounts of location and time enriched data- particularly in real-time – has not kept pace. Kinetica is a real time analytics database that provides a geospatial object called Tracks to visualize and analyze entities in motion using SQL, at scale. Tracks come with geospatial functions that allow the triggering of events based on measures such as its duration, length, proximity to other tracks and whether it intersects or passes through a geo-fence. In this webinar, you will learn how to: Create tracks and perform geospatial operations on them Detect and visualize dwell times Trigger alerts when a an entity is within a certain distance from a point",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/kinetica-web-og.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/bsex7kgsor"},{slug:"transforming-telecommunications-for-the-5g-era",title:"Transforming Telecommunications for the 5G Era",description:"Telcos are also looking for new ways to go beyond simply providing the infrastru

1cture for the digital economy to powering it with new products and services. In this webinar we'll show how telcos can transform their business for this new era.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/beams-bg-scaled-1-1024x630.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/7dsadejdha"},{slug:"uncover-new-mortgage-risks-and-profit-opportunities-with-on-demand-active-analytics-and-statistical-models",title:"Uncover New Mortgage Risks and Profit Opportunities with On Demand Active Analytics and Statistical Models",description:"For asset managers responsible for balancing risk and opportunity for portfolios of mortgage assets, the ability to blend data sources at scale to gain on demand insight into mortgage performance and trends is incredibly valuable. Rapidly predicting potential mortgage defaults and identifying underpriced mortgages can help organizations to analyze more scenarios and make accurate, data-driven decisions around asset allocation that increase profit. Previously, analyzing large portfolios and applying predictive risk and pricing models required a complex mix of infrastructure for data science and analytics, leading to slow iteration cycles and models with less rich features. Kinetica converges the ability to do advanced analytics and accelerated data science on a single GPU-accelerated data platform. IN THIS WEBINAR WE’LL EXPLORE: How Kinetica enables asset managers to more accurately model, value, and manage mortgage assets, at scale, to gain an edge on the competition and increase profits The value of converging fast moving MLS data, historical mortgage data, location analytics, and weekly yield curves, with statistical models on a single platform […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Screen-Shot-2020-06-15-at-4.32.24-PM-1024x427.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/qnwtx5lr6k"},{slug:"uncover-new-mortgage-risks-and-profit-opportunities-with-on-demand-streaming-analytics-and-statistical-models",title:"Uncover New Mortgage Risks and Profit Opportunities with On Demand Streaming Analytics and Statistical Models",description:"",type:"Workshop",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/kinetica-gtc-2020-banner.png",dates:[],ctaLabel:"AI Workshop",ctaUrl:"/ai-workshop/",videoEmbedUrl:""},{slug:"unleashing-the-power-of-arcgis-and-kinetica-bridging-the-gap-between-gis-and-big-data-challenges",title:"Unleashing the Power of ArcGIS and Kinetica – Bridging the Gap Between GIS and Big Data Challenges",description:"In this educational webinar you’ll learn about the powerful integration of ArcGIS and Kinetica. Discover how this combination unlocks the potential of geospatial insights, bridging the gap between traditional GIS and big data challenges. See firsthand how Kinetica handles real-time workloads on massive streaming datasets while providing lightning-fast visualization through WMS layers. See how to effortlessly process, analyze, and display spatial data with precision within the comprehensive visual analytics environment of ArcGIS. Finally, you will learn how to set up your own free instance with your data to discover new insights with freely available workbooks. Presented By: Aaron Bossert Aaron is the Director of Solutions Engineering for Kinetica. Aaron has been in the cybersecurity, big data, and high-performance computing (HPC) field for the last 23 years at organizations such as the U.S. intelligence community, the Defense Advanced Research Projects Agency (DARPA), the Department of Homeland Security (DHS), the Bureau of Alcohol, Tobacco, Firearms, and Explosives (BATFE), and Cray Supercomputer. Moderated By: Linda Stevens Linda Stevens is an inspirational […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/arcgiswebinar-social-cards.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/n4mwz6d5nj"},{slug:"unlock-the-future-of-big-data-analytics-with-natural-language-to-sql",title:"Unlock the Future of Big Data Analytics with Natural-Language-to-SQL",description:"Large Language Models (LLMs) are reshaping the landscape of data analysis. But when it comes to big data it needs a powerful analytical companion that can execute ad-hoc SQL queries generated by an LLM. By leveraging natural-language to SQL, Kinetica lets you unearth deep insights from your data with just plain English, no matter the scale. In this exclusive session, we’ll unveil Kinetica’s cutting-edge natural Language to SQL features that make it possible to generate complex analytical queries using just plain English and run them on large datasets using Kinetica. Experience firsthand how LLMs can effortlessly generate complex geo-joins, ST_Geometry functions, and time series queries —using natural language prompts that are executed using Kinetica. Don’t miss your chance to learn more about this revolutionary shift in data analysis. Secure your seat today.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/sqlgpt-webinar-social-cards.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/9y5v3w2de7"}

1,{slug:"visualizing-spatial-data-at-scale-with-tableau",title:"Visualizing Spatial Data at Scale with Tableau",description:"In this session, Phil Darringer explores the challenges of analyzing and visualizing massive amounts of spatial data and how Kinetica and Tableau together can help address these challenges. Kinetica is a high-performance database that specializes in ingesting, analyzing, and visualizing large-scale data, including spatial data. Tableau, on the other hand, is the leading data visualization tool that allows users to create interactive and intuitive visualizations of their data. Together, Kinetica and Tableau provide a powerful solution for visualizing and analyzing spatial data at scale. In this webinar, we will explore how these tools can be used together to visualize and analyze large-scale spatial data, such as location-enriched sensor data, 5G network data, track data and more. We will also demonstrate how to build complex spatial visualizations including heat maps, class-breaks, multiple map layers, and more.",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/spatial_data_tableau.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/fpf4vhonpp"},{slug:"what-intelligent-mapping-could-be-machine-learning-with-the-kinetica-streaming-data-warehouse",title:"What Intelligent Mapping Could Be: Machine Learning With The Kinetica Streaming Data Warehouse",description:"MEET THE HOSTS: Saif Ahmed, Product Owner,Machine Learning, Kinetica & Scott Little, Machine Learning Intern, Kinetica Intelligent mapping apps can route us based on traffic, tolls, and other basic factors, but don’t we all wish they could automatically take into account the most beautiful route, the safest, or the one with the best restaurants along the way? In this Tech Talk, we’ll discuss leveraging Kinetica’s converged analytics to ingest, process, visualize, and inference millions of images to determine the most scenic route possible. IN THIS TECH TALK WE WILL COVER: Deploying machine learning models and semantic segmentation at scale with Kinetica Mapping millions of images and inference to determine the best route Live demo of Kinetica’s converged analytics, which avoids integration of multiple complex systems with NxM interfaces Why Kinetica for this build",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Scott-Little.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/xqok2t251j"},{slug:"when-snowflakes-become-a-snowstorm-replicating-a-legacy-data-warehouse-in-the-cloud-is-not-the-answer",title:"When Snowflakes Become a Snowstorm: Replicating a Legacy Data Warehouse in The Cloud is Not The Answer",description:"MEET THE HOSTS: Dipti Joshi, Kinetica & Nima Negahban, CTO & Co-Founder, Kinetica When a severe snowstorm hits you don’t want to bring a shovel when you really need a  plow. As enterprises confront a streaming data snowstorm in the cloud, they need to be thinking about new architectures and advanced analytical techniques to stay at the forefront of their industry. Implementing a cloud data warehouse strategy that suffers from the same issues as a traditional data warehouse is not the answer. As companies like Snowflake have proven, there is strong demand for cloud data warehouses to help consolidate the legacy data warehouse ecosystem. These systems make it extraordinarily easy to onboard data into your system, but over time can become highly complex to query and suffer from the same batch data constraints of the traditional data warehouses world. In this webinar, we will provide an alternative to the traditional cloud data warehouse conundrum, as well as guidance for a cost effective solution with Kinetica’s Streaming Data Warehouse. IN THIS TALK […]",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/Screen-Shot-2020-12-03-at-8.41.47-AM.png",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/2tdf73jonn"},{slug:"when-your-application-is-the-map",title:"When Your Application Is the Map",description:"How to scale from street corner to continent using Kinetica WMS supp

1ort Hosted By: Raheel Aidrus, Director, Professional Services, Kinetica Whether it’s to improve customer service, maximize efficiency, or drive new revenue opportunities, location data is incredibly useful to businesses and government agencies. This session will cover how Kinetica can help you create highly interactive, map-based analytical applications at incredible scale. IN THIS SESSION, WE’LL COVER: How to connect and blend complex geospatial and business data How to query, analyze, and render geospatial data in real-time with Kinetica How to use Kinetica’s Web Map Service (WMS) support to easily create map-based dashboards and applications",type:"Webinar",format:"",featuredImage:"https://kinetica-web-assets.s3.us-east-1.amazonaws.com/assets/events/nasa-Q1p7bh3SHj8-unsplash-scaled-1.jpg",dates:[],ctaLabel:"Watch Now",ctaUrl:"/ai-workshop/",videoEmbedUrl:"https://fast.wistia.net/embed/iframe/ybwepfne2l"}],J=["Conference","Webinar","Workshop"],Y=[],S=18,re=()=>{A("Events & Webinars | Kinetica");const[a,t]=L(),h=Math.max(1,parseInt(a.get("page")??"1",10)),r=a.get("type")??"",m=a.get("format")??"",c=a.get("q")??"",l=d.useRef(null),g=d.useCallback(s=>{l.current&&clearTimeout(l.current),l.current=setTimeout(()=>{t(o=>{const n=new URLSearchParams(o);return s?n.set("q",s):n.delete("q"),n.delete("page"),n})},300)},[t]);d.useEffect(()=>()=>{l.current&&clearTimeout(l.current)},[]);const u=d.useCallback(s=>{t(o=>{const n=new URLSearchParams(o);return s?n.set("type",s):n.delete("type"),n.delete("page"),n})},[t]),f=d.useCallback(s=>{t(o=>{const n=new URLSearchParams(o);return s?n.set("format",s):n.delete("format"),n.delete("page"),n})},[t]),w=d.useCallback(s=>{t(o=>{const n=new URLSearchParams(o);return s>1?n.set("page",String(s)):n.delete("page"),n}),window.scrollTo({top:0,behavior:"smooth"})},[t]),b=d.useMemo(()=>{const s=new Map;for(const o of x)s.set(o.type,(s.get(o.type)??0)+1);return s},[]),p=d.useMemo(()=>{const s=c.toLowerCase();return x.filter(o=>!(r&&o.type!==r||m&&o.format!==m||s&&!o.title.toLowerCase().includes(s)&&!o.description.toLowerCase().includes(s)))},[r,m,c]),y=x.length>0?x[0]:null,i=Math.max(1,Math.ceil(p.length/S)),v=Math.min(h,i),E=(v-1)*S,T=p.slice(E,E+S);return e.jsxs("div",{className:"hex-tile-bg",children:[e.jsx(P,{featured:y}),e.jsx(V,{events:T,types:J,formats:Y,searchValue:c,onSearchChange:g,activeType:r,onTypeChange:u,activeFormat:m,onFormatChange:f,currentPage:v,totalPages:i,onPageChange:w,totalResults:p.length,typeCounts:b})]})};export{re as EventPage};