Big Data Management

Kyligence’s Intelligent Data Cloud Platform Now Available on Google Cloud

Kyligence, originator of Apache Kylin and developer of the AI-augmented data services and management platform Kyligence Cloud, today announced the beta availability of its intelligent data cloud platform on Google Cloud. Kyligence’s one-stop, cloud-native big data OLAP solution helps data analysts and business users quickly discover the business value in the massive amounts of data in the cloud.

Designed and built for today’s cloud, Kyligence Cloud allows enterprise organizations to create fast, flexible, and cost-optimal innovative big data analysis applications on a data lake based on cloud-native computing and storage. With automated model optimization using AI-enhanced semantic modeling based on past analysis, business users can make more informed decisions. Kyligence Cloud can be seamlessly integrated with Google Cloud Storage to help maximize the use of existing cloud assets.

“This is a significant step in the evolution of both the Kyligence Cloud and the Google Cloud ecosystem. Having Kyligence’s cloud platform available on Google Cloud, makes it even more seamless for customers around the world to leverage Kyligence to unlock insights faster from big data.”

Li Kang, vice president, North America, Kyligence

Kyligence’s AI-augmented data services and management platform provides analysts and business users with a unified, governed, and optimized semantic layer. Through multiple interfaces—such as SQL, MDX, and REST APIs—Kyligence Cloud seamlessly connects business applications, popular BI tools, and AI/ML environments, enabling users to work efficiently with familiar tools.

Kyligence seamlessly connects to native data sources such as Cloud Storage to get the most out of data on Google Cloud, building a comprehensive Google Cloud big data solution. Kyligence Cloud on Google Cloud is currently in beta.

About Kyligence
Founded by the creators of Apache Kylin, Kyligence Cloud provides an intelligent analytics performance layer that sits between data sources and BI tools. Kyligence features an AI-Augmented learning engine to ensure peak performance and vastly simplified data modeling. The result is sub-second query response time for BI, SQL, OLAP, and Excel users even against petabytes of data.

Kyligence is headquartered in San Jose, CA. Investors include Redpoint Ventures, Cisco, China Broadband Capital, Shunwei Capital, Eight Roads Ventures (the proprietary investment arm of Fidelity International Limited), and Coatue Management. Kyligence serves a global customer base that includes UBS, Costa, Appzen, McDonald’s, YUM, L’OREAL, Porsche, Xactly, China Merchants Bank, and China Construction Bank.

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Big Data Management

The Modern Data Company Recognized in Gartner's Magic Quadrant for Data Integration

The Modern Data Company | January 23, 2024

The Modern Data Company, recognized for its expertise in developing and managing advanced data products, is delighted to announce its distinction as an honorable mention in Gartner's 'Magic Quadrant for Data Integration Tools,' powered by our leading product, DataOS. “This accolade underscores our commitment to productizing data and revolutionizing data management technologies. Our focus extends beyond traditional data management, guiding companies on their journey to effectively utilize data, realize tangible ROI on their data investments, and harness advanced technologies such as AI, ML, and Large Language Models (LLMs). This recognition is a testament to Modern Data’s alignment with the latest industry trends and our dedication to setting new standards in data integration and utilization.” – Srujan Akula, CEO of The Modern Data Company The inclusion in the Gartner report highlights The Modern Data Company's pivotal role in shaping the future of data integration. Our innovative approach, embodied in DataOS, enables businesses to navigate the complexities of data management, transforming data into a strategic asset. By simplifying data access and integration, we empower organizations to unlock the full potential of their data, driving insights and innovation without disruption. "Modern Data's recognition as an Honorable Mention in the Gartner MQ for Data Integration is a testament to the transformative impact their solutions have on businesses like ours. DataOS has been pivotal in allowing us to integrate multiple data sources, enabling our teams to have access to the data needed to make data driven decisions." – Emma Spight, SVP Technology, MIND 24-7 The Modern Data Company simplifies how organizations manage, access, and interact with data using its DataOS (data operating system) that unifies data silos, at scale. It provides ontology support, graph modeling, and a virtual data tier (e.g. a customer 360 model). From a technical point of view, it closes the gap from conceptual to physical data model. Users can define conceptually what they want and its software traverses and integrates data. DataOS provides a structured, repeatable approach to data integration that enhances agility and ensures high-quality outputs. This shift from traditional pipeline management to data products allows for more efficient data operations, as each 'product' is designed with a specific purpose and standardized interfaces, ensuring consistency across different uses and applications. With DataOS, businesses can expect a transformative impact on their data strategies, marked by increased efficiency and a robust framework for handling complex data ecosystems, allowing for more and faster iterations of conceptual models. About The Modern Data Company The Modern Data Company, with its flagship product DataOS, revolutionizes the creation of data products. DataOS® is engineered to build and manage comprehensive data products to foster data mesh adoption, propelling organizations towards a data-driven future. DataOS directly addresses key AI/ML and LLM challenges: ensuring quality data, scaling computational resources, and integrating seamlessly into business processes. In our commitment to provide open systems, we have created an open data developer platform specification that is gaining wide industry support.

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Data Visualization

BlackBerry to Showcase Innovative Automotive Solutions Powered by the BlackBerry IVY Connected Vehicle Data Platform at CES 2024

BlackBerry Limited | December 18, 2023

At CES 2024, BlackBerry Limited will be showcasing the breadth and power of its BlackBerry IVY® connected vehicle data platform through in-vehicle and virtualized demos with a range of ecosystem partners. The BlackBerry IVY platform enables developers across industries to design and deploy insights-enabled automotive services more quickly, leveraging in-vehicle AI-enabled processing and a developer-friendly platform. This ease of development has led to a growing diversity of solutions developed on the BlackBerry IVY platform, giving automakers new opportunities to quickly enable additional services to differentiate and potentially monetize the connected car. This year's IVY™ showcase at CES will feature a wide array of mobility applications; IVY powered in-vehicle AI demonstrations will include: Michelin's tire wear monitoring solution with real-time integration to its consumer retail network COMPREDICT hardware sensor replacement solutions, utilizing virtual sensors to create cost savings and monetize vehicle health insights. Intelligent in-cabin experiences powered by Cinemo, CorrActions, CarIQ, idrive, and emotion3D. Next generation insurance solutions, such as First Notification of Loss and Collision Reconstruction featured by Nexar, and crash analytics and driver scoring by CerebrumX. Intelligent vehicle cybersecurity & quality insights powered by Upstream Security. Additional partners will be showcasing how BlackBerry IVY powers next generation digital cockpits and intelligent fleet management services. Demonstrations include: MIH Consortium will feature its intelligent fleet capabilities, with IVY insights, from Electra Vehicles, COMPREDICT, and CerebrumX Mitsubishi Electric will showcase its FLEXConnect™ advanced vehicle cockpit system in a Cadillac Escalade Intellias will showcase its IntelliKit 2.0 solution which is centered around the Qualcomm SA8295 with QNX Real Time Operating System (RTOS), QNX Hypervisor, and pre-processing connected vehicle insights with BlackBerry IVY. "The IVY Ecosystem has grown rapidly, and now embraces an impressive range of applications that are set to change the mobility business and the in-car experience by harnessing the power of connected vehicle data," said Vito Giallorenzo, Senior Vice President & General Manager, BlackBerry IVY. "We're looking forward to demonstrating the many and varied ways that our ecosystem members are innovating on the IVY platform and how it has enabled them to easily develop and scale their solutions." For more information on how BlackBerry IVY can help with building safe and secure data solutions for the Software Defined Vehicles of tomorrow, and to see a BlackBerry IVY powered vehicle in action, please visit us at CES on January 9-12 in the West Hall at Booth #4224 or www.blackberry.com/ivy. Live demos of other BlackBerry IVY powered applications will also be showcased in the West Hall at CES with Mitsubishi Electric (#3151), MIH (#7216), and Intellias (#7075). About BlackBerry BlackBerry (NYSE: BB; TSX: BB) provides intelligent security software and services to enterprises and governments around the world. The company secures more than 500M endpoints including over 235M vehicles. Based in Waterloo, Ontario, the company leverages AI and machine learning to deliver innovative solutions in the areas of cybersecurity, safety and data privacy solutions, and is a leader in the areas of endpoint management, endpoint security, encryption, and embedded systems. BlackBerry's vision is clear - to secure a connected future you can trust.

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Machine Learning

InterSystems Introduces Two New Cloud-Native Smart Data Services to Accelerate Database and Machine Learning Application Development

InterSystems | January 12, 2024

InterSystems, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed problems, today announced general availability of the InterSystems IRIS Cloud SQL and InterSystems IRIS Cloud IntegratedML® services. These fully managed cloud-native smart data services empower developers to build cloud-native database and machine learning (ML) applications in SQL environments with ease. With Cloud SQL and Cloud IntegratedML, developers can access a next generation relational database-as-a-service (DBaaS) that is fast and easy to provision and use. Embedded AutoML capabilities allow developers to easily develop and execute machine learning models with just a few SQL-like commands in a fully-managed, elastic cloud-native environment. Shaping a complete data management portfolio for mission-critical applications As part of the InterSystems Cloud portfolio of smart data services, Cloud SQL and Cloud IntegratedML provide application developers with access to InterSystems proven enterprise-class capabilities as self-service, fully managed offerings on Amazon Web Services (AWS), while providing a fast and seamless on-ramp to the full suite of capabilities in InterSystems IRIS® data platform. InterSystems IRIS is a next-generation data platform designed for organizations implementing smart data fabrics that provide powerful database management, integration, and application development capabilities. By consolidating these capabilities into a single product, InterSystems IRIS accelerates the time it takes to realize value from data, simplifies overall system architectures, and reduces both maintenance effort and costs. “We are excited for the capabilities of InterSystems IRIS to be exposed through these new, easy to deploy and easy to use services,” said Scott Gnau, Global Head of Data Platforms at InterSystems. “With native support for AutoML, we give developers the power to build comprehensive, predictive, and prescriptive applications.” Fully managed, enterprise-class reliability with InterSystems IRIS Cloud SQL Cloud SQL makes it easy for application developers to leverage advanced relational database capabilities as a fully managed, secure, scalable, high performance, highly available cloud-native database-as-a-service (DBaaS). Cloud SQL delivers the following benefits for SQL developers: Extremely high performance, especially for ingesting and processing incoming data and performing SQL queries on the data with low latency at scale Fast and easy to provision and use Ability to easily connect client applications via JDBC, ODBC, DB-API, and ADO.NET drivers Automated security, data encryption, and backups Automation of machine learning tasks with InterSystems IRIS Cloud IntegratedML Available as an additional cloud managed service for InterSystems IRIS Cloud SQL customers, Cloud IntegratedML extends the capabilities of Cloud SQL to enable SQL developers to quickly build, tune, and execute machine learning models with just a few SQL-like commands, without moving or copying data to a different environment. A significant advantage of Cloud IntegratedML is the elimination of the need to transfer or replicate data to an external platform to build ML models, or to move ML models to a different environment for execution. Cloud IntegratedML delivers the following benefits for SQL developers: Automation of machine learning processes and resource-intensive tasks such as feature engineering, model development, and fine-tuning Seamless integration of models developed and trained with Cloud IntegratedML within Cloud SQL, facilitating real-time predictive insights and prescriptive actions in response to events and transactions This comprehensive suite of smart data services establishes the InterSystems Cloud portfolio of smart data services as an optimal choice for SQL developers seeking a robust, high-performance database solution tailored to their needs. The new Cloud SQL and Cloud IntegratedML services are available through InterSystems Developer Hub. About InterSystems Established in 1978, InterSystems is the leading provider of next-generation solutions for enterprise digital transformations in the healthcare, finance, manufacturing, and supply chain sectors. Its cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems is committed to excellence through its award-winning, 24×7 support for customers and partners in more than 80 countries. Privately held and headquartered in Cambridge, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

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Big Data Management

Radiant Logic Announces RadiantOne AI, with New Generative AI Data Assistant “AIDA”

Radiant Logic | January 11, 2024

Radiant Logic, the Identity Data Fabric company, today unveiled RadiantOne AI, its data lake powered Artificial Intelligence engine, and AIDA, its Generative AI Data Assistant. RadiantOne AI is designed to complement your existing tech stack and governance products by correlating data across multiple sources and providing contextual information to drive better decision making. The result is a radical reduction in the time and resources needed to gather the data required to effectively meet audit demands—meaning fewer security gaps and increased compliance with organizational policies. The first capability to be unveiled on RadiantOne AI is a truly automated user access review (UAR) process, expertly guided by AIDA. Many business leaders are familiar with the tedious UAR process – it’s crucial for demonstrating compliance and improving organizational security posture. But laborious processes can often end in a “bulk approval” to save time and check an audit box instead of accurately reviewing access rights to ensure the right business outcomes. RadiantOne’s AI-driven approach will be a paradigm shift in the way people work, forever transforming and streamlining the usually time-consuming UAR process down to days and minutes instead of months. “Historically, user access reviews are a highly manual process–a ‘necessary evil’ within security practices. This approach not only creates fatigue for the team but also introduces a considerable amount of risk,” says Dr. John Pritchard, Chief Product Officer at Radiant Logic. “While this may work in the short term to satisfy auditor requirements, the company’s assets are never truly protected. There is also still the risk that something may be overlooked, or someone within the business has retained access to something they shouldn’t. With RadiantOne AI and AIDA, existing IAM and IGA processes can be automated and simplified for overworked teams trying to comb through mountains of user access data to make the right decisions to protect their organizations.” With RadiantOne AI, conducting a user access review becomes as easy as following AIDA’s guidance. Using the power of large language models to drive advanced data correlation, contextualization and analysis, combined with an intuitive data visualization dashboard, AIDA will reinvent the user access review ritual. Based on an organization's proprietary data, the fully guided UAR experience will allow reviewers to interact and pose questions to AIDA using natural human language, like “where does this access come from?” or “show me who else has these access rights?” AIDA will highlight any potential user access risks, offer expert insight, and suggest remediations or access modifications based on an organization’s policies. Any changes, such as low risk bulk access approvals or revoking atypical access rights, are completed via a click of a button, so there’s less training required to complete the reviews and less risk of human error during the process. RadiantOne AI’s AIDA-guided user access review capability works to provide enterprise organizations with: Automated workflows: Leverage vast data sets and contextual insights to make intelligent and confident decisions about access rights. Simplified compliance: Easily detect over-privileged accounts or atypical access rights with intuitive data visualization techniques. Greater visibility into user actions: Get beyond roles quickly to see who has access to what and how they received that access so insights and remediations are easily actionable. Click-button remediation: Based on the insights and recommendations from AIDA, reviewers can approve or revoke access or atypical rights individually or take bulk approval/rejection actions with the click of a button. Data into the hands of business owners: Put relevant, risk-based identity data insights into the hands of business users in the language they understand to make it a breeze to adhere to compliance policies. “User access reviews with AIDA are just the beginning,” comments Joe Sander, Radiant Logic’s CEO. “Using RadiantOne’s AI engine, we see potential to revolutionize identity data management, governance, risk, compliance and cybersecurity processes by removing complexity as a roadblock. This frees up critical IT and security resources to focus on other business-critical tasks and expands the role of identity to truly be a business enabler.” RadiantOne AI comes on the heels of the completion of the integration of Brainwave Identity Analytics into the RadiantOne Identity Data Platform. AIDA will initially be available as a complement to the RadiantOne Identity Analytics solution. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

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