Home > News > Top Stories > McLaren Applied's ATLAS software adds powerful new analytics capabilities with KX partnership

Big Data Management, Data Science, Big Data

McLaren Applied's ATLAS software adds powerful new analytics capabilities with KX partnership

McLaren Applied&amp;#39;s ATLAS software adds powerful new analytics

Engineering and technology pioneer McLaren Applied has announced a new data and analytics partnership with leading technology company KX, maker of kdb+ the industry's most trusted Data Timehouse™ and the KDB.AI vector database. The integration will see McLaren Applied's already industry-leading ATLAS platform benefit from integration with KX's advanced kdb+ vector native, time series database, giving motorsport teams the ability to monitor race data, run complex AI and ML queries, and make real-time decisions in the garage for maximum benefit.

McLaren Applied's ATLAS (Advanced Telemetry Linked Acquisition System) software package captures, distributes, displays and analyses data from control and data logging systems. Typically used in Motorsport and Automotive applications to date, the addition of KX's third-party software brings the power of ATLAS to other industries and use cases, such as Condition Monitoring, offering better prediction and detection of anomalies, and enabling operators to take preventative action before problems arise.

ATLAS users can now leverage cutting-edge data analysis and visualisation enhanced by KX's extreme scalability and market-leading performance. Both powerful and efficient, with a memory footprint of only 800kb, kdb+ can process workloads up to one hundred times faster than traditional stores and at a fraction of the cost. Using this power to augment the insights provided by ATLAS, complex analyses of large datasets in real-time become simpler and easier than ever.

Conversely, existing KX customers can also now leverage ATLAS's capability to better understand the behaviour of multiple systems and subsystems via forensic data examination of high frequency data. This not only offers a better way of visualising higher rate data, but allows users to manipulate and process data for more in-depth analysis.

Speaking of the announcement, Richard Saxby, Director, Motorsport at McLaren Applied said: "The integration of KX's kdb+ software with our already industry-leading ATLAS platform is fantastic news for both McLaren Applied and our customers. This partnership demonstrates our continued determination to deliver ever greater power, speed and agility to race teams on the pit wall, enabling them to do the same on track. It also opens opportunities for us to bring the power of ATLAS to customers in new markets.

"We look forward to seeing how kdb+ compatibility enhances our customers' capability and experience, demonstrating the full potential of ATLAS that can be realised through further in-house and third-party development."

Ashok Reddy, CEO at KX, added: "KDB.AI, the industry's number one vector database, handles both structured time series and unstructured data with unparalleled proficiency - a critical function in the fast-paced world of automotive racing. With McLaren Applied, an industry pace-setter renowned for its cutting-edge technology and high-performance solutions, we can bolster the capabilities of the ATLAS platform, already one of the fastest data management and analytics platforms. We are thrilled to further fortify ATLAS's leading position in the industry, while supporting its expansion into new sectors"

About McLaren Applied
More than three decades in F1 and other cutting-edge global motorsport has given McLaren Applied world-leading expertise in electrification, connectivity, control and sensing. This expertise is also applied to automotive, transport and mining sectors, delivering technologies at scale with a performance advantage. Our peoples' expertise, coupled with our technology and agility, is pioneering a more sustainable, intelligent and connected future. Learn more at https://mclarenapplied.com/

About KX

KX is a leading provider of vector database technology for time-series, real-time, and embedded data that provides context and insights at the speed of thought. Its mission is to accelerate the speed of data and AI-driven business innovation enabling customers to transform into real-time, intelligent enterprises. Built for the most demanding data environments, our Data Timehouse™ platform is trusted by the world's top investment banks and hedge funds, and leading companies in the life and health sciences, semiconductor, telecommunications, and manufacturing industries.

At the heart of our technology is the kdb+ time series and vector database, independently benchmarked as the fastest on the market. It can process and analyze time series, historical and vector data at unmatched speed and scale, empowering developers, data scientists, and data engineers to build high-performance data-driven applications and turbo-charge their favorite analytics tools in the cloud, on-premise, or at the edge.

Ultimately, our technology enables the discovery of richer, actionable insights for faster decision making which drives competitive advantage and transformative growth for our customers. KX operates from more than 15 offices across North America, Europe and Asia Pacific.

Spotlight

More featured news

Spotlight

Related News

Big Data Management

AVEVA Extends Data Capabilities from Edge to Plant to Community with AVEVA PI Data Infrastructure

iTWire | October 30, 2023

AVEVA, is a global leader in industrial software, driving digital transformation and sustainability, has launched AVEVA PI Data Infrastructure, a fully-integrated hybrid data solution providing easy scalability, centralised management, and the ability to share data collaboratively via the cloud. AVEVA PI Data Infrastructure is the latest offering in the market leading AVEVA PI System portfolio, which helps companies collect, enrich, analyse and visualise operations data to achieve deeper insight and operational excellence. Moving to hybrid infrastructure gives industrial companies the flexibility, scalability and security needed to deliver valuable, high-fidelity data to authorised users and applications in any location. The initial release also gives customers the option to use the OpenID Connect protocol for user authentication, enabling enterprise-wide single sign on. Other enterprise-class data management features will be delivered over several releases. AVEVA PI Data Infrastructure makes it easier for companies to collect and use real-time operations data in industrial environments that increasingly include sensor-enabled legacy systems, remote assets and IIoT devices. The hybrid architecture gives data access to more decision makers who rely on operations data to resolve problems and develop business insights, thereby reducing the total cost and effort of operations data management. By achieving seamless data sharing with any trusted collaborator, companies can overcome costly data silos, modernise and streamline user access and aggregate real-time and historical data for wider use and consumption. AVEVA PI Data Infrastructure is available via subscription using AVEVA Flex credits. Harpreet Gulati, SVP - Head of PI System Business at AVEVA, said, No other industrial software company offers a fully-integrated, seamless data infrastructure that enables the fast, secure flow of real-time, high-fidelity data to anywhere it is needed – across multiple plants, at the edge, or in a trusted community over the cloud – with complete data integrity. We want to provide our customers with the flexibility to deploy across any of these areas, enabling them to increase sustainability, operating efficiency, asset reliability, and organisational agility. Customers are embracing the new offering. Giovanna Ruggieri, Head of ICT at Italy’s EP Produzione, a subsidiary of the European energy giant, EPH, commented: "EP Produzione is actively pursuing digital transformation to maximise operational excellence and improve processes to support the business. To continue the journey, and better embrace the digital transformation, we need greater flexibility and integration at all levels, a data infrastructure that can give us full visibility across our multi-site operating environment that always keeps cyber security as high priority. "We appreciate AVEVA PI Data Infrastructure’s aggregate tag subscription model because it allows us to better manage our current and future needs in a smart way, with AVEVA currently proposing, for us, one of the best solutions on the market."

Big Data

Provider Density Data from LexisNexis Risk Solutions Shows Inequality of Provider Availability Across Regions

PR Newswire | October 06, 2023

LexisNexis® Risk Solutions, a leading provider of data and analytics, released new insights on the latest national and regional provider density trends for primary and specialty care. The analysis explores how often prescriber data changes, the metropolitan areas seeing the biggest change in the number of primary care providers (PCPs) and the metropolitan areas with the highest and lowest number of heart disease patients per cardiologist. Outflows of providers and coverage ratios can impact a community's ability to deliver accessible and efficient care, and with a looming shortfall of PCPs[1], it's important to understand where the existing PCPs are located. The analysis reveals the five metropolitan areas with the highest percent increase and decrease of PCPs between June 2022 and June 2023. According to the data, the Vallejo-Fairfield, CA area topped the list with a nearly 40% increase in PCPs. Conversely, the Fayetteville, NC area saw the highest decrease – losing nearly 12% of its PCPs. As chronic diseases continue to increase, the density of specialty providers becomes paramount. The provider density analysis examines the number of patients with heart disease per cardiologist in metropolitan statistical areas (MSAs) spanning large, medium, small, and micropolitan areas. The data shows as MSAs get smaller, the number of patients per cardiologist increases substantially, with many rural communities having thousands of heart disease patients per cardiologist. Among major metropolitan areas, Boston has the best ratio with 196 heart disease patients per cardiologist, and Las Vegas has the worst ratio with 824 heart disease patients per cardiologist. Additionally, the analysis found significant degradation of prescriber data in a short period of time. Over a quarter of prescribers (26%) had at least one change in their contact or license information within a 90-day period. This finding is based on the primary location of more than 2 million prescribers and illustrates the potential for data inaccuracies, creating an additional challenge for patients navigating the healthcare ecosystem. "Data is an essential element to fueling healthcare's success, but the continuously changing nature of provider data, when left unchecked, poses a threat to care coordination, patient experience, and health outcomes," said Jonathan Shannon, associate vice president of healthcare strategy, LexisNexis Risk Solutions. "Our recent analysis emphasizes the criticality of ensuring provider information is clean and accurate in real-time. With consistently updated provider data, healthcare organizations can develop meaningful strategies to improve provider availability, equitable access, and patient experience, particularly for vulnerable populations."

Data Science

Snowflake Accelerates How Users Build Next Generation Apps and Machine Learning Models in the Data Cloud

Business Wire | November 03, 2023

Snowflake (NYSE: SNOW), the Data Cloud company, today announced at its Snowday 2023 event new advancements that make it easier for developers to build machine learning (ML) models and full-stack apps in the Data Cloud. Snowflake is enhancing its Python capabilities through Snowpark to boost productivity, increase collaboration, and ultimately speed up end-to-end AI and ML workflows. In addition, with support for containerized workloads and expanded DevOps capabilities, developers can now accelerate development and run apps — all within Snowflake's secure and fully managed infrastructure. “The rise of generative AI has made organizations’ most valuable asset, their data, even more indispensable. Snowflake is making it easier for developers to put that data to work so they can build powerful end-to-end machine learning models and full-stack apps natively in the Data Cloud,” said Prasanna Krishnan, Senior Director of Product Management, Snowflake. “With Snowflake Marketplace as the first cross-cloud marketplace for data and apps in the industry, customers can quickly and securely productionize what they’ve built to global end users, unlocking increased monetization, discoverability, and usage.” Developers Gain Robust and Familiar Functionality for End-to-End Machine Learning Snowflake is continuing to invest in Snowpark as its secure deployment and processing of non-SQL code, with over 35% of Snowflake customers using Snowpark on a weekly basis (as of September 2023). Developers increasingly look to Snowpark for complex ML model development and deployment, and Snowflake is introducing expanded functionality that makes Snowpark even more accessible and powerful for all Python developers. New advancements include: Snowflake Notebooks (private preview): Snowflake Notebooks are a new development interface that offers an interactive, cell-based programming environment for Python and SQL users to explore, process, and experiment with data in Snowpark. Snowflake’s built-in notebooks allow developers to write and execute code, train and deploy models using Snowpark ML, visualize results with Streamlit chart elements, and much more — all within Snowflake’s unified, secure platform. Snowpark ML Modeling API (general availability soon): Snowflake’s Snowpark ML Modeling API empowers developers and data scientists to scale out feature engineering and simplify model training for faster and more intuitive model development in Snowflake. Users can implement popular AI and ML frameworks natively on data in Snowflake, without having to create stored procedures. Snowpark ML Operations Enhancements: The Snowpark Model Registry (public preview soon) now builds on a native Snowflake model entity and enables the scalable, secure deployment and management of models in Snowflake, including expanded support for deep learning models and open source large language models (LLMs) from Hugging Face. Snowflake is also providing developers with an integrated Snowflake Feature Store (private preview) that creates, stores, manages, and serves ML features for model training and inference. Endeavor, the global sports and entertainment company that includes the WME Agency, IMG & On Location, UFC, and more, relies on Snowflake’s Snowpark for Python capabilities to build and deploy ML models that create highly personalized experiences and apps for fan engagement. Snowpark serves as the driving force behind our end-to-end machine learning development, powering how we centralize and process data across our various entities, and then securely build and train models using that data to create hyper-personalized fan experiences at scale, said Saad Zaheer, VP of Data Science and Engineering, Endeavor. With Snowflake as our central data foundation bringing all of this development directly to our enterprise data, we can unlock even more ways to predict and forecast customer behavior to fuel our targeted sales and marketing engines. Snowflake Advances Developer Capabilities Across the App Lifecycle The Snowflake Native App Framework (general availability soon on AWS, public preview soon on Azure) now provides every organization with the necessary building blocks for app development, including distribution, operation, and monetization within Snowflake’s platform. Leading organizations are monetizing their Snowflake Native Apps through Snowflake Marketplace, with app listings more than doubling since Snowflake Summit 2023. This number is only growing as Snowflake continues to advance its developer capabilities across the app lifecycle so more organizations can unlock business impact. For example, Cybersyn, a data-service provider, is developing Snowflake Native Apps exclusively for Snowflake Marketplace, with more than 40 customers running over 5,000 queries with its Financial & Economic Essentials Native App since June 2022. In addition, LiveRamp, a data collaboration platform, has seen the number of customers deploying its Identity Resolution and Transcoding Snowflake Native App through Snowflake Marketplace increase by more than 80% since June 2022. Lastly, SNP has been able to provide its customers with a 10x cost reduction in Snowflake data processing associated with SAP data ingestion, empowering them to drastically reduce data latency while improving SAP data availability in Snowflake through SNP’s Data Streaming for SAP - Snowflake Native App. With Snowpark Container Services (public preview soon in select AWS regions), developers can run any component of their app — from ML training, to LLMs, to an API, and more — without needing to move data or manage complex container-based infrastructure. Snowflake Automates DevOps for Apps, Data Pipelines, and Other Development Snowflake is giving developers new ways to automate key DevOps and observability capabilities across testing, deploying, monitoring, and operating their apps and data pipelines — so they can take them from idea to production faster. With Snowflake’s new Database Change Management (private preview soon) features, developers can code declaratively and easily templatize their work to manage Snowflake objects across multiple environments. The Database Change Management features serve as a single source of truth for object creation across various environments, using the common “configuration as code” pattern in DevOps to automatically provision and update Snowflake objects. Snowflake also unveiled a new Powered by Snowflake Funding Program, innovations that enable all users to securely tap into the power of generative AI with their enterprise data, enhancements to further eliminate data silos and strengthen Snowflake’s leading compliance and governance capabilities through Snowflake Horizon, and more at Snowday 2023.