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Big Data Management

CQG to Roll Out Newest Trading and Analytics Platform, CQG One

CQG, a leading global provider of high-performance technology solutions for traders, brokers, commercial hedgers and exchanges, announced today the phased roll-out of its newest trading platform, CQG One. Designed for professional traders and institutional investors, the new cloud-based CQG One combines the ease of use of the firm's retail-oriented CQG Desktop platform with many of the popular market data, charting, visualization and advanced analytics features of CQG Integrated Client, its flagship professional trading platform.

A multi-asset, multi-broker platform, CQG One will be available through traders' futures commission merchants (FCMs) beginning in April, with new functionality added throughout the year.

CQG President Ryan Moroney said: "We're excited to bring CQG One to market after gathering extensive input from our users on what features they most want in our new platform. This will be as intuitive and easy to deploy, configure and use as CQG Desktop but with advanced charting, market analytics and trading functionality, along with the CQG depth and breadth of market data utilized by our largest and most sophisticated institutional clients."

"CQG One is an ultra-fast, secure platform that traders will be able to access from anywhere to leverage technical analysis tools and execute transactions with a single click on markets all over the world. We will continuously update it through our HTML5 cloud infrastructure in a way that's seamless to users."

Marcus Kwan, CQG Vice President, Product Strategy & Design

The new platform will include premium functionality such as:
  • Single-click trade entry
  • Advanced charting and analytics
  • Portfolio sharing
  • Window linking, and drag-and-drop tabs
  • Highly secure, consolidated real-time and life-of-contract historical market data feeds from more than 75 global sources
  • Access to CQG Algos, a comprehensive set of pre-built algorithmic order types
  • New analytics features, custom formulas, price alerts and a spreader later in 2022

Institutional clients will be able to utilize a Windows-installed version of CQG One in the future.

About CQG
CQG provides the industry's highest performing solutions for traders, brokers, commercial hedgers and exchanges for their market-related activities globally, including trading, market data, advanced technical analysis, risk management, and account administration. The firm partners with the vast majority of futures brokerage and clearing firms and provides Direct Market Access (DMA) to more than 45 exchanges through its global network of co-located Hosted Exchange Gateways. CQG technology serves as the front end for a variety of exchanges and is increasingly employed as the over-the-counter matching engine for important new markets. CQG's server-side order management tools for spreading, market aggregation, and smart orders are unsurpassed for speed and ease of use. Its market data feed consolidates 85 sources, including exchanges worldwide for futures, options, fixed income, foreign exchange, and equities, as well as data on debt securities, industry reports, and financial indices. One of the longest-serving technology solutions providers in the industry, CQG has won numerous awards for its trading software, technical analysis and multi-asset trading platform. CQG is headquartered in Denver, with 16 sales and support offices and data centers in key markets globally.

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Data Architecture

Neo4j Enhances Cloud Database Performance Enabling up to 100X Faster Analytics and Real-Time Decision Making

Cision | October 27, 2023

Neo4j, the world's leading graph database and analytics company, announced major new capabilities enabling cloud or self managed customers to increase analytical queries by up to 100x faster, run both transactional and analytical processing within one database, and automatically track data changes in real time for faster mission-critical decision making. Neo4j's integration of operational and analytical workloads within a single database is now enhanced by the power of parallel runtime and change data capture, empowering our customers with real-time insights, cost-efficient data management, and simplified architecture, said Sudhir Hasbe, Chief Product Officer, Neo4j. The results foster quicker decision-making, superior customer experiences, and a competitive edge in the market at a magnitude of speed, performance and agility that is far greater than ever before. New capabilities and benefits include: Up to 100X faster performance of analytical queries via Parallel Runtime capability, which adds concurrent threads across multiple CPU cores to run analytical graph queries. Neo4j also leverages a technique called morsel-based parallelism to optimize this capability, for greater scalability, better resource utilization, and seamless multitasking. Faster mission-critical decisions now enabled by native Change Data Capture (CDC), which automates the real-time tracking and notification of data changes in the database. CDC is also integrated with Neo4j Connector for Kafka and Confluent, which streams these changes for easier consumption across other data platforms and applications. Easier Knowledge Graph creation via new embedding models that predict and find missing relationships and infer new connections within an organization's knowledge graph for greater semantic understanding. New pathfinding algorithms that make complex workflows more efficient by identifying the best sequence and critical paths between nodes on a graph. "Neo4j's Change Data Capture capability enables us to synchronize the latest changes happening in our customers' various data sources simultaneously – and helps us guarantee that when they use Dropbox Dash, they can search and find their content accurately," said Anil Masakal, Engineering Leader, Dropbox. "Neo4j's new capabilities enable modern law enforcement agencies to react with greater agility to mission-critical events, empowering them to fight more crimes and solve them faster," said Christophe Willemsen, CTO, GraphAware. "For example, we can trigger alerts and send them to front-line officers when the phone number of a Person of Interest pings from a cellular tower near a high-risk event where a VIP is present, bodycam footage shows the image of a child at risk, and other events." These advancements follow a series of milestones for Neo4j. The company recently integrated native vector search into its core database capabilities, enabling more accurate, explainable, and transparent outcomes for LLMs and other generative AI applications. It earlier won Google Cloud's 2023 Technology Partner of the Year award in the data management category, and placement in CRN's 2023 Big Data 100. Neo4j was recognized for the first time in the 2022 Gartner Magic Quadrant for Cloud Database Management Systems, the first time that any native graph vendor was included in the report. About Neo4j Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j's full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j's community of data leaders comprises a vibrant, open-source community of more than 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs. Visit neo4j.com

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Big Data Management

Cerebras Systems Selects VAST Data to Accelerate the Next Wave of Data Intensive Generative AI Workloads

Business Wire | October 17, 2023

Cerebras Systems, the pioneer in accelerating generative AI, today announced that it has selected VAST Data, the AI data platform company, to help deliver advanced data solutions that will accelerate the training and accuracy of generative AI workloads. By leveraging the scalable and secure multi-tenant VAST Data Platform, Cerebras scales capacity and performance of its leading CS-2 AI supercomputers, including the recently announced Condor Galaxy, the world’s largest AI supercomputer network built in partnership with G42 Cloud, now part of Core42. The data requirements for training generative AI workloads continues to increase at an exponential and unprecedented pace, said Andrew Feldman, CEO and co-founder of Cerebras Systems. The VAST Data team have industry-leading expertise in managing exabytes of data from edge to cloud, and helping evolve that data into information. With VAST’s enhanced data capabilities, we enable optimal utilization of Condor Galaxy, built in strategic partnership with G42, and our other AI supercomputers. This will allow users to build and train the next wave of cutting-edge foundational models, while greatly reducing training times and accelerating time-to-insight. Training large models requires massive amounts of AI compute, huge datasets, and specialized AI expertise. Cerebras and Core42 recently introduced Condor Galaxy, a network of nine interconnected AI supercomputers that will provide 36 exaFLOPs of AI compute, which delivers on all three elements and was used to train Jais, the world’s highest quality Arabic Large Language Model. By collaborating with VAST Data, the Condor Galaxy supercomputing network furthers its leadership in the high-performance storage and enhanced data management of vast and diverse datasets. The VAST Data Platform provides scalable, secure, and efficient access to the massive amount of data required for training workloads conducted on Condor Galaxy. “Our strategic partnerships with Cerebras and VAST Data deliver on our mission to deploy AI-optimized cloud infrastructure that addresses the most pressing needs of global organizations and uses data-intensive AI computing to solve real-world challenges,” said Talal Alkaissi, EVP & Chief Product and Global Partnerships Officer of Core42, a G42 company. “We are thrilled to be delivering meaningful results, including the newly announced clinical LLM, Med42, a leading 70 billion parameter open-access model launched by M42 and trained on Condor Galaxy 1, with its curated medical dataset stored and secured by VAST.” “As AI model training continues to grow and expand, so too does the need for more memory in each GPU, and Cerebras is delivering a new approach to solve this problem,” said Jeff Denworth, co-founder at VAST Data. “Through our joint collaboration with Core42, the VAST Data Platform is helping organizations reimagine the future of data-intensive AI training and inference with infrastructure that was designed for these high-performance demanding workloads, and the simplicity and zero trust, multi-layer security that modern enterprises require. Together, we’re excited to provide the data foundation for a global network of next-generation AI supercomputers.” About Cerebras Systems Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to build a new class of computer system, designed for the singular purpose of accelerating generative AI work. Our flagship product, the CS-2 system, powered by the world’s largest and fastest AI processor, makes training large models simple and easy, by avoiding the complexity of distributed computing. Cerebras solutions are available in the cloud, through the Cerebras AI Model Studio or on premises. For further information, visit https://www.cerebras.net.

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Big Data Management

Immuta Launches Immuta Discover for Enhanced Data Security and Compliance

PR Newswire | October 31, 2023

Immuta, a data security leader, today announced the release of Immuta Discover, a new product for automated tagging and classification on cloud data platforms. Immuta Discover enables data teams to establish and maintain highly accurate metadata for the primary purpose of data access control, monitoring and regulatory compliance. Immuta Discover automatically and continuously discovers structured data in cloud data platforms. It can also leverage existing metadata pulled from enterprise data catalogs like Alation. Leveraging all of this metadata, Immuta Discover provides visibility of all sensitive data, which is critical for building data policies to protect the data and analyzing its usage. As a core pillar of Immuta's comprehensive Data Security Platform, Immuta Discover eliminates manual, error-prone processes and helps organizations improve data security, gain full visibility into their data and unlock its value. Discovering, tagging and classifying sensitive data with highly accurate and descriptive metadata is a critical component of a successful data security strategy. However, today's organizations are burdened with increasingly dispersed data as the number of data sources and users continues to grow. Existing solutions are not designed to tag and classify data across all of these sources with the accuracy and granularity required for security and governance. The lack of accurate metadata creates security gaps and blind spots, making it difficult to meet stringent compliance regulations. Immuta Discover allows data teams to easily and accurately scan, classify and tag data so they can apply data control policies and monitor data access. This allows teams to gain full visibility and context into all of their data assets, and better protect and monitor their sensitive data for enhanced data security posture management. Immuta offers 60+ pre-built and domain-specific classifiers, providing organizations with the flexibility to tailor data classifications to their unique business needs and based on their desired confidence levels. Immuta Discover is the foundational component to making any data security program work within your organization and to remain compliant, said Mo Plassnig, Chief Product Officer at Immuta. It's the first step that must happen in order to protect your data. Data is constantly changing in today's digital age. Organizations must fully understand what data they have – with accurate classification – and maintain a trustworthy inventory of sensitive data across cloud platforms in order to meet growing data security and access demands. And Immuta Discover helps our customers accomplish just this. With Immuta Discover, customers can automatically identify and classify sensitive data by leveraging the following new capabilities: Accurate and actionable metadata for data security – Immuta Discover provides accurate, granular metadata and actionable tags on sensitive data so users can seamlessly secure data across cloud platforms at scale. The product enables full metadata visibility into what data requires access controls and auditing. The metadata can be leveraged directly in Immuta Secure to govern the data and in Immuta Detect to monitor data access. Agentless, multi-cloud data discovery – Immuta Discover scans and classifies data natively, with no software to install and no agent running next to the cloud data platform. The data never leaves the data platform. This approach simplifies operations and is secure and compliant, enabling data teams to be more efficient with an always up-to-date data inventory. Out-of-the-box and customizable regulatory frameworks – Immuta Discover automatically categorizes data that is subject to leading regulatory frameworks such as CCPA, GDPR, HIPAA, or PCI, to implement compliant access control policies. These frameworks are created and maintained by Immuta's in-house Legal Engineering Team, and additionally enable customers to customize frameworks based on their interpretations of specific regulations for accelerated compliance. "I am thrilled to see the addition and announcement of Immuta Discover to Immuta's Data Security Platform," said Sanjeev Mohan, former Gartner analyst and founder of SanjMo. "Efficiently tagging and classifying data is a critical first step in protecting it against the growing number of threats in today's data management landscape. Being able to scan data natively in the cloud data platform is an innovation that enables data discovery at scale." Immuta offers a comprehensive Data Security Platform that enables sensitive data discovery, security and access control and activity monitoring. Immuta Discover automatically discovers and classifies sensitive data relevant to the leading regulatory frameworks. Immuta Detect adds critical user and data access behavior monitoring and auditing. And, Immuta Secure provides scalable data access control and enforcement across cloud data platforms. Together, these capabilities give customers comprehensive data security and governance for analytic workloads. About Immuta Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, data activity monitoring, and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA. To learn more about Immuta, click here.

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J.D. Power Acquires Autovista Group to Expand Automotive Data Portfolio

J.D. Power | September 18, 2023

J.D. Power, a prominent global leader in data analytics, has recently announced a definitive agreement to acquire Autovista Group, a renowned pan-European and Australian automotive data, analytics, and industry insights provider. This strategic acquisition complements J.D. Power's existing strengths in vehicle valuation and intricate vehicle specification data and analytics while significantly expanding its presence within the European and Australian automotive markets. This acquisition represents a crucial moment, as it delivers substantial value to the customers of both companies. It brings together Autovista Group's extensive European and Australian market intelligence with J.D. Power's market-leading predictive analytics, valuation data, and customer experience datasets. These complementary offerings will empower original equipment manufacturers (OEMs), insurers, dealers, and financing companies with a truly global perspective on critical industry trends. They will also provide the tools to accurately predict risk, capitalize on emerging trends, and align sales strategies with real-time market dynamics. Pete Cimmet, Chief Strategy Officer at J.D. Power, stated: The addition of Autovista Group broadens our global presence allowing us to serve our customers across key global markets including North America, Europe and Asia/Australia. We look forward to partnering with the Autovista team to launch innovative new products and pursue strategic add-on acquisitions in Europe and Australia. [Source: Business Wire] Autovista Group, through its five prominent brands—Autovista, Glass's, Eurotax, Schwacke, and Rødboka—standardizes and categorizes a multitude of technical attributes for nearly every vehicle manufactured in European and Australian markets. This comprehensive approach offers clients a 360-degree view of detailed vehicle data, which is invaluable for valuations, forecasts, and repair estimates. Furthermore, Autovista Group's robust analytical solutions and its team of seasoned experts are trusted by stakeholders across the automobile industry for their in-depth insights and benchmarks related to vehicle values, ownership, replacements, and repair costs. Under this agreement, Autovista Group's senior leadership, along with its 700 employees, will remain part of the organization, serving as J.D. Power's automotive data and analytics platform for Australia and Europe. Lindsey Roberts will continue to lead the team in her role as President of J.D. Power Europe, reporting to CEO Dave Habiger. Currently, Autovista Group is owned by Hayfin Capital Management, a prominent European alternative asset management firm. The anticipated closure of the Autovista Group acquisition is set for conclusion by the end of 2023, pending customary closing conditions and regulatory review and approval. For this transaction, RBC Capital Markets acted as the exclusive financial advisor, and Kirkland & Ellis provided legal counsel to J.D. Power. TD Cowen served as the exclusive financial advisor, with Macfarlanes, Cravath, Swaine & Moore, and Mishcon de Reya acting as legal advisors to Autovista Group and Hayfin. About J.D. Power J.D. Power, a renowned consumer insights, advisory services, and data and analytics firm, has consistently spearheaded the use of big data, artificial intelligence (AI), and algorithmic modeling to illuminate the intricacies of consumer behavior for more than half a century. With a storied legacy of providing in-depth industry intelligence on customer interactions with brands and products, J.D. Power serves as the trusted leader for the world's preeminent enterprises, spanning diverse major sectors, profoundly influencing and refining their customer-centric strategies.

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Neo4j Enhances Cloud Database Performance Enabling up to 100X Faster Analytics and Real-Time Decision Making

Cision | October 27, 2023

Neo4j, the world's leading graph database and analytics company, announced major new capabilities enabling cloud or self managed customers to increase analytical queries by up to 100x faster, run both transactional and analytical processing within one database, and automatically track data changes in real time for faster mission-critical decision making. Neo4j's integration of operational and analytical workloads within a single database is now enhanced by the power of parallel runtime and change data capture, empowering our customers with real-time insights, cost-efficient data management, and simplified architecture, said Sudhir Hasbe, Chief Product Officer, Neo4j. The results foster quicker decision-making, superior customer experiences, and a competitive edge in the market at a magnitude of speed, performance and agility that is far greater than ever before. New capabilities and benefits include: Up to 100X faster performance of analytical queries via Parallel Runtime capability, which adds concurrent threads across multiple CPU cores to run analytical graph queries. Neo4j also leverages a technique called morsel-based parallelism to optimize this capability, for greater scalability, better resource utilization, and seamless multitasking. Faster mission-critical decisions now enabled by native Change Data Capture (CDC), which automates the real-time tracking and notification of data changes in the database. CDC is also integrated with Neo4j Connector for Kafka and Confluent, which streams these changes for easier consumption across other data platforms and applications. Easier Knowledge Graph creation via new embedding models that predict and find missing relationships and infer new connections within an organization's knowledge graph for greater semantic understanding. New pathfinding algorithms that make complex workflows more efficient by identifying the best sequence and critical paths between nodes on a graph. "Neo4j's Change Data Capture capability enables us to synchronize the latest changes happening in our customers' various data sources simultaneously – and helps us guarantee that when they use Dropbox Dash, they can search and find their content accurately," said Anil Masakal, Engineering Leader, Dropbox. "Neo4j's new capabilities enable modern law enforcement agencies to react with greater agility to mission-critical events, empowering them to fight more crimes and solve them faster," said Christophe Willemsen, CTO, GraphAware. "For example, we can trigger alerts and send them to front-line officers when the phone number of a Person of Interest pings from a cellular tower near a high-risk event where a VIP is present, bodycam footage shows the image of a child at risk, and other events." These advancements follow a series of milestones for Neo4j. The company recently integrated native vector search into its core database capabilities, enabling more accurate, explainable, and transparent outcomes for LLMs and other generative AI applications. It earlier won Google Cloud's 2023 Technology Partner of the Year award in the data management category, and placement in CRN's 2023 Big Data 100. Neo4j was recognized for the first time in the 2022 Gartner Magic Quadrant for Cloud Database Management Systems, the first time that any native graph vendor was included in the report. About Neo4j Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j's full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j's community of data leaders comprises a vibrant, open-source community of more than 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs. Visit neo4j.com

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Big Data Management

Cerebras Systems Selects VAST Data to Accelerate the Next Wave of Data Intensive Generative AI Workloads

Business Wire | October 17, 2023

Cerebras Systems, the pioneer in accelerating generative AI, today announced that it has selected VAST Data, the AI data platform company, to help deliver advanced data solutions that will accelerate the training and accuracy of generative AI workloads. By leveraging the scalable and secure multi-tenant VAST Data Platform, Cerebras scales capacity and performance of its leading CS-2 AI supercomputers, including the recently announced Condor Galaxy, the world’s largest AI supercomputer network built in partnership with G42 Cloud, now part of Core42. The data requirements for training generative AI workloads continues to increase at an exponential and unprecedented pace, said Andrew Feldman, CEO and co-founder of Cerebras Systems. The VAST Data team have industry-leading expertise in managing exabytes of data from edge to cloud, and helping evolve that data into information. With VAST’s enhanced data capabilities, we enable optimal utilization of Condor Galaxy, built in strategic partnership with G42, and our other AI supercomputers. This will allow users to build and train the next wave of cutting-edge foundational models, while greatly reducing training times and accelerating time-to-insight. Training large models requires massive amounts of AI compute, huge datasets, and specialized AI expertise. Cerebras and Core42 recently introduced Condor Galaxy, a network of nine interconnected AI supercomputers that will provide 36 exaFLOPs of AI compute, which delivers on all three elements and was used to train Jais, the world’s highest quality Arabic Large Language Model. By collaborating with VAST Data, the Condor Galaxy supercomputing network furthers its leadership in the high-performance storage and enhanced data management of vast and diverse datasets. The VAST Data Platform provides scalable, secure, and efficient access to the massive amount of data required for training workloads conducted on Condor Galaxy. “Our strategic partnerships with Cerebras and VAST Data deliver on our mission to deploy AI-optimized cloud infrastructure that addresses the most pressing needs of global organizations and uses data-intensive AI computing to solve real-world challenges,” said Talal Alkaissi, EVP & Chief Product and Global Partnerships Officer of Core42, a G42 company. “We are thrilled to be delivering meaningful results, including the newly announced clinical LLM, Med42, a leading 70 billion parameter open-access model launched by M42 and trained on Condor Galaxy 1, with its curated medical dataset stored and secured by VAST.” “As AI model training continues to grow and expand, so too does the need for more memory in each GPU, and Cerebras is delivering a new approach to solve this problem,” said Jeff Denworth, co-founder at VAST Data. “Through our joint collaboration with Core42, the VAST Data Platform is helping organizations reimagine the future of data-intensive AI training and inference with infrastructure that was designed for these high-performance demanding workloads, and the simplicity and zero trust, multi-layer security that modern enterprises require. Together, we’re excited to provide the data foundation for a global network of next-generation AI supercomputers.” About Cerebras Systems Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to build a new class of computer system, designed for the singular purpose of accelerating generative AI work. Our flagship product, the CS-2 system, powered by the world’s largest and fastest AI processor, makes training large models simple and easy, by avoiding the complexity of distributed computing. Cerebras solutions are available in the cloud, through the Cerebras AI Model Studio or on premises. For further information, visit https://www.cerebras.net.

Read More

Big Data Management

Immuta Launches Immuta Discover for Enhanced Data Security and Compliance

PR Newswire | October 31, 2023

Immuta, a data security leader, today announced the release of Immuta Discover, a new product for automated tagging and classification on cloud data platforms. Immuta Discover enables data teams to establish and maintain highly accurate metadata for the primary purpose of data access control, monitoring and regulatory compliance. Immuta Discover automatically and continuously discovers structured data in cloud data platforms. It can also leverage existing metadata pulled from enterprise data catalogs like Alation. Leveraging all of this metadata, Immuta Discover provides visibility of all sensitive data, which is critical for building data policies to protect the data and analyzing its usage. As a core pillar of Immuta's comprehensive Data Security Platform, Immuta Discover eliminates manual, error-prone processes and helps organizations improve data security, gain full visibility into their data and unlock its value. Discovering, tagging and classifying sensitive data with highly accurate and descriptive metadata is a critical component of a successful data security strategy. However, today's organizations are burdened with increasingly dispersed data as the number of data sources and users continues to grow. Existing solutions are not designed to tag and classify data across all of these sources with the accuracy and granularity required for security and governance. The lack of accurate metadata creates security gaps and blind spots, making it difficult to meet stringent compliance regulations. Immuta Discover allows data teams to easily and accurately scan, classify and tag data so they can apply data control policies and monitor data access. This allows teams to gain full visibility and context into all of their data assets, and better protect and monitor their sensitive data for enhanced data security posture management. Immuta offers 60+ pre-built and domain-specific classifiers, providing organizations with the flexibility to tailor data classifications to their unique business needs and based on their desired confidence levels. Immuta Discover is the foundational component to making any data security program work within your organization and to remain compliant, said Mo Plassnig, Chief Product Officer at Immuta. It's the first step that must happen in order to protect your data. Data is constantly changing in today's digital age. Organizations must fully understand what data they have – with accurate classification – and maintain a trustworthy inventory of sensitive data across cloud platforms in order to meet growing data security and access demands. And Immuta Discover helps our customers accomplish just this. With Immuta Discover, customers can automatically identify and classify sensitive data by leveraging the following new capabilities: Accurate and actionable metadata for data security – Immuta Discover provides accurate, granular metadata and actionable tags on sensitive data so users can seamlessly secure data across cloud platforms at scale. The product enables full metadata visibility into what data requires access controls and auditing. The metadata can be leveraged directly in Immuta Secure to govern the data and in Immuta Detect to monitor data access. Agentless, multi-cloud data discovery – Immuta Discover scans and classifies data natively, with no software to install and no agent running next to the cloud data platform. The data never leaves the data platform. This approach simplifies operations and is secure and compliant, enabling data teams to be more efficient with an always up-to-date data inventory. Out-of-the-box and customizable regulatory frameworks – Immuta Discover automatically categorizes data that is subject to leading regulatory frameworks such as CCPA, GDPR, HIPAA, or PCI, to implement compliant access control policies. These frameworks are created and maintained by Immuta's in-house Legal Engineering Team, and additionally enable customers to customize frameworks based on their interpretations of specific regulations for accelerated compliance. "I am thrilled to see the addition and announcement of Immuta Discover to Immuta's Data Security Platform," said Sanjeev Mohan, former Gartner analyst and founder of SanjMo. "Efficiently tagging and classifying data is a critical first step in protecting it against the growing number of threats in today's data management landscape. Being able to scan data natively in the cloud data platform is an innovation that enables data discovery at scale." Immuta offers a comprehensive Data Security Platform that enables sensitive data discovery, security and access control and activity monitoring. Immuta Discover automatically discovers and classifies sensitive data relevant to the leading regulatory frameworks. Immuta Detect adds critical user and data access behavior monitoring and auditing. And, Immuta Secure provides scalable data access control and enforcement across cloud data platforms. Together, these capabilities give customers comprehensive data security and governance for analytic workloads. About Immuta Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, data activity monitoring, and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA. To learn more about Immuta, click here.

Read More

Data Science

J.D. Power Acquires Autovista Group to Expand Automotive Data Portfolio

J.D. Power | September 18, 2023

J.D. Power, a prominent global leader in data analytics, has recently announced a definitive agreement to acquire Autovista Group, a renowned pan-European and Australian automotive data, analytics, and industry insights provider. This strategic acquisition complements J.D. Power's existing strengths in vehicle valuation and intricate vehicle specification data and analytics while significantly expanding its presence within the European and Australian automotive markets. This acquisition represents a crucial moment, as it delivers substantial value to the customers of both companies. It brings together Autovista Group's extensive European and Australian market intelligence with J.D. Power's market-leading predictive analytics, valuation data, and customer experience datasets. These complementary offerings will empower original equipment manufacturers (OEMs), insurers, dealers, and financing companies with a truly global perspective on critical industry trends. They will also provide the tools to accurately predict risk, capitalize on emerging trends, and align sales strategies with real-time market dynamics. Pete Cimmet, Chief Strategy Officer at J.D. Power, stated: The addition of Autovista Group broadens our global presence allowing us to serve our customers across key global markets including North America, Europe and Asia/Australia. We look forward to partnering with the Autovista team to launch innovative new products and pursue strategic add-on acquisitions in Europe and Australia. [Source: Business Wire] Autovista Group, through its five prominent brands—Autovista, Glass's, Eurotax, Schwacke, and Rødboka—standardizes and categorizes a multitude of technical attributes for nearly every vehicle manufactured in European and Australian markets. This comprehensive approach offers clients a 360-degree view of detailed vehicle data, which is invaluable for valuations, forecasts, and repair estimates. Furthermore, Autovista Group's robust analytical solutions and its team of seasoned experts are trusted by stakeholders across the automobile industry for their in-depth insights and benchmarks related to vehicle values, ownership, replacements, and repair costs. Under this agreement, Autovista Group's senior leadership, along with its 700 employees, will remain part of the organization, serving as J.D. Power's automotive data and analytics platform for Australia and Europe. Lindsey Roberts will continue to lead the team in her role as President of J.D. Power Europe, reporting to CEO Dave Habiger. Currently, Autovista Group is owned by Hayfin Capital Management, a prominent European alternative asset management firm. The anticipated closure of the Autovista Group acquisition is set for conclusion by the end of 2023, pending customary closing conditions and regulatory review and approval. For this transaction, RBC Capital Markets acted as the exclusive financial advisor, and Kirkland & Ellis provided legal counsel to J.D. Power. TD Cowen served as the exclusive financial advisor, with Macfarlanes, Cravath, Swaine & Moore, and Mishcon de Reya acting as legal advisors to Autovista Group and Hayfin. About J.D. Power J.D. Power, a renowned consumer insights, advisory services, and data and analytics firm, has consistently spearheaded the use of big data, artificial intelligence (AI), and algorithmic modeling to illuminate the intricacies of consumer behavior for more than half a century. With a storied legacy of providing in-depth industry intelligence on customer interactions with brands and products, J.D. Power serves as the trusted leader for the world's preeminent enterprises, spanning diverse major sectors, profoundly influencing and refining their customer-centric strategies.

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