Big Data Management

Adenza Chooses Oracle Autonomous Database to Expand its Multi-Cloud Risk Analytics Services

Adenza, a leading global provider of end-to-end, trading, treasury, risk management, and regulatory compliance for the financial services industry, has selected Oracle Autonomous Database—both Autonomous Transaction Processing and Autonomous Data Warehouse—to enhance its regulatory reporting product line AxiomSL's RegCloud. Adenza chose Oracle Autonomous Database for its unprecedented availability, performance, and security, each of which is critical in the regulatory industry. With Oracle Autonomous Database running on Oracle Cloud Infrastructure (OCI), Adenza can easily migrate its AxiomSL's customers from on-premises Oracle Database deployments to RegCloud.

Taking advantage of the Oracle Autonomous Database self-driving, self-securing, and self-repairing capabilities, Adenza will help ensure its critical infrastructure is running efficiently with performance that is significantly faster than on-premises alternatives, even when testing queries with more than 160 million rows of data—a requirement since data inputs needed for regulatory reports have increased by over 300 percent over the last 10 years.

The addition of Oracle Autonomous Database on OCI to Adenza's AxiomSL RegCloud SaaS offering allows further flexibility to customers who have deployed Oracle Database on-premises or have chosen Oracle Database for cloud services. In this multi-cloud environment, RegCloud runs the risk and regulatory applications on AWS while customers store and manage their data on Oracle Autonomous Database and use OCI FastConnect to access the application.

Combining the power of the cloud with the intelligent responsiveness of adaptive machine learning, Oracle Autonomous Database offers another avenue for our company to provide customers with a smooth migration to the cloud. The ability to quickly adapt to changing regulatory requirements is critical to our clients. With Oracle Autonomous Database running on OCI, our customers have access to a single, converged database service that reduces risk, improves performance and removes a significant amount of labor from managing cloud-scale data.

Vladimir Etkin, chief technology officer, Adenza

Adenza AxiomSL business unit is an industry-leading data management platform for risk and regulatory reporting. With Oracle Autonomous Database, we provide a highly performant, self-driving, self-securing, and self-repairing cloud service compatible with on-premises Oracle Database environments. For customers this means a smooth database migration to OCI while all of the automation enables the Adenza's AxiomSL RegCloud IT team to focus on what they do best, rather than manual database management, tuning and administration tasks.

Andrew Mendelsohn, executive vice president, Database Server Technologies, Oracle

Adenza's AxiomSL Regulatory Reporting solutions' client base represents $45 trillion in total assets and includes 80 percent of Global Systemically Important Banks (G-SIBs). The company, with 30 years' experience in the field, delivers more than 5,000 risk and regulatory reports, across 50 jurisdictions and 110 regulators. Therefore, data privacy and security were also top of mind for Adenza in selecting Oracle Autonomous Database to help ensure that its customers meet global regulatory mandates. Oracle Autonomous Database protects sensitive and regulated data automatically, patches databases for security vulnerabilities, and prevents unauthorized access, providing security at every level of the stack.

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud.

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Business Intelligence

EAGLYS, Mitsui and Quantinuum Collaborate to Build a Quantum-Resistant Data Analytics (AI) Platform Using Quantum Computing Hardened Encryption Keys

Mitsui & Co., Ltd | December 13, 2023

In partnership, EAGLYS, Inc., Mitsui & Co., Ltd., and Quantinuum have integrated Quantum Origin into EAGLYS' secure computation product DataArmor, strengthening the platform against the quantum threat to encrypted data. Mitsui and EAGLYS have used secure computation technology to build a platform that allows research institutes and businesses to securely collaborate using each other's data and AI models. DataArmor uniquely maintains the confidentiality and security of sensitive data and AI models using homomorphic encryption, a technology that allows analysis to be performed on data while still encrypted. This protects encrypted data from being revealed when shared, safeguarding organizations and their Intellectual Property against advanced cyber threats. EAGLYS has now integrated Quantum Origin, the world's only solution that uses the power of quantum computing processes to provably strengthen encryption keys, as part of their Quantum-Resistant Data Analytics (AI) Platform. This integration strengthens the resilience of DataArmor against the threat of a quantum-computing-based attack. Quantum computers are expected to empower significant innovation in the future and create approximately 100 trillion yen in value by 20351. At the same time, the development of quantum computing technology presents a new threat to the cryptographic security measures that protect the confidentiality of encrypted data and communications. RSA, one of the most widely used cryptographic algorithms, may soon be deciphered by cybercriminals to expose confidential data. It is unclear when a quantum computer will be capable of cracking existing encryption, but organizations are increasingly concerned about cyber security attacks called 'Hack now, Decrypt later.' A recent Deloitte survey revealed that over 50%2 of cyber professionals believe their organization is at risk from this attack, where malicious third parties steal and store encrypted data to decrypt it when the quantum computing technology is available. As a countermeasure against such potential threats, organizations must strengthen encryption protection for data and AI models by using post-quantum cryptographic algorithms and hardening cryptographic keys. Research institutes and businesses increasingly need to collaborate using each other's data and AI models to accelerate innovation in chemical materials development, drug discovery, financial analysis, and retail trends. To maintain the confidentiality and security of the data and AI models used in these collaborations, EAGLYS' DataArmor platform combines fully homomorphic encryption based on lattice cryptography and Quantum Origin's quantum-derived entropy for key generation to strengthen protection against a quantum computing based attack. Going forward, the three companies will continue to develop new use cases utilizing this platform. "We are pleased to collaborate on this advanced project with Quantinuum, a world-class quantum computing company, and our valued partner Mitsui & Co. This collaboration is an important initiative for our business and will enhance our Homomorphic Encryption platform, enabling us to create new value for our customers through AI and data in a highly secure environment. By deploying the Quantum-Resilient AI Platform together with the three companies, we hope to further increase customer value through secure data sharing and AI in the chemical, medical, financial, and retail industries.", said Hiroki Imabayashi, Founder and CEO, EAGLYS Inc. "Through this collaboration, we are able to present a quantum-resistant data analytics (AI) platform capable of creating new value using EAGLYS' secure computation technology. We are convinced that by combining EAGLYS' secure computation technology with Quantum Origin, DataArmor will become an increasingly important solution to prepare for potential threats that may accompany the commercialization of quantum computers. We will continue collaborating with both companies and focus on realizing new customer value by combining Secure Computation and Quantum Technology." said Koji Naniwada, Deputy General Manager & Senior Tech Lead, Quantum Innovation Dept., Corporate Development Div., Mitsui & Co., Ltd. Duncan Jones, Head of Cybersecurity, Quantinuum, added, "Hardening encryption keys is critical to protecting sensitive data in the post-quantum era, and Quantum Origin is the world's only technology that provably strengthens key generation. By integrating Quantum Origin, EAGLYS is future-proofing the security and integrity of its customer's data." About Quantinuum Quantinuum is one of the world's largest integrated quantum computing companies, formed by the combination of Honeywell Quantum Solutions' world-leading hardware and Cambridge Quantum's class-leading middleware and applications. Quantinuum accelerates quantum computing and the development of applications across chemistry, cybersecurity, finance, and optimization. The company employs over 480 individuals, including 350 scientists, at nine sites across the United States, Europe, and Japan. About Mitsui & Co., Ltd. Mitsui & Co. is a global trading and investment company with a presence in more than 60 countries and a diverse business portfolio covering a wide range of industries. The company identifies, develops, and grows its businesses in partnership with a global network of trusted partners including world leading companies, combining its geographic and cross-industry strengths to create long-term sustainable value for its stakeholders. Mitsui has set three key strategic initiatives for its current Medium-term Management Plan: supporting industries to grow and evolve with stable supplies of resources and materials, and providing infrastructure; promoting a global transition to low-carbon and renewable energy; and empowering people to lead healthy lives through the delivery of quality healthcare and access to good nutrition. About EAGLYS Inc EAGLYS is a company that provides an AI platform that uses AI and Homomorphic Encryption. The company creates new value by collaborating data from various industries such as chemical, manufacturing, medical, and retail. Particularly in the field of chemistry, EAGLYS provides solutions that significantly change industry practices.

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Data Architecture

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development

SingleStore | January 25, 2024

SingleStore, the database that allows you to transact, analyze and contextualize data, today announced powerful new capabilities — making it the industry’s only real-time data platform. With its latest release, dubbed SingleStore Pro Max, the company announced ground-breaking features like indexed vector search, an on-demand compute service for GPUs/ CPUs and a new free shared tier, among several other innovative new products. Together, these capabilities shrink development cycles while providing the performance and scale that customers need for building applications. In an explosive generative AI landscape, companies are looking for a modern data platform that’s ready for enterprise AI use cases — one with best-available tooling to accelerate development, simultaneously allowing them to marry structured or semi-structured data residing in enterprise systems with unstructured data lying in data lakes. “We believe that a data platform should both create new revenue streams while also decreasing technological costs and complexity for customers. And this can only happen with simplicity at the core,” said Raj Verma, CEO, SingleStore. “This isn’t just a product update, it’s a quantum leap… SingleStore is offering truly transformative capabilities in a single platform for customers to build all kinds of real-time applications, AI or otherwise.” “At Adobe, we aim to change the world through digital experiences,” said Matt Newman, Principal Data Architect, Adobe. “SingleStore’s latest release is exciting as it pushes what is possible when it comes to database technology, real-time analytics and building modern applications that support AI workloads. We’re looking forward to these new features as more and more of our customers are seeking ways to take full advantage of generative Al capabilities.” Key new features launched include: Indexed vector search. SingleStore has announced support for vector search using Approximate Nearest Neighbor (ANN) vector indexing algorithms, leading to 800-1,000x faster vector search performance than precise methods (KNN). With both full-text and indexed vector search capabilities, SingleStore offers developers true hybrid search that takes advantage of the full power of SQL for queries, joins, filters and aggregations. These capabilities firmly place SingleStore above vector-only databases that require niche query languages and are not designed to meet enterprise security and resiliency needs. Free shared tier. SingleStore has announced a new cloud-based Free Shared Tier that’s designed for startups and developers to quickly bring their ideas to life — without the need to commit to a paid plan. On-demand compute service for GPUs and CPUs. SingleStore announces a compute service that works alongside SingleStore’s native Notebooks to let developers spin up GPUs and CPUs to run database-adjacent workloads including data preparation, ETL, third-party native application frameworks, etc. This capability brings compute to algorithms, rather than the other way around, enabling developers to build highly performant AI applications safely and securely using SingleStore — without unnecessary data movement. New CDC capabilities for data ingest and egress. To ease the burden and costs of moving data in and out of SingleStore, SingleStore is adding native capabilities for real-time Change Data Capture (CDC) in for MongoDB®, MySQL and ingestion from Apache Iceberg without requiring other third party CDC tools. SingleStore will also support CDC out capabilities that ease migrations and enable the use of SingleStore as a source for other applications and databases like data warehouses and lakehouses. SingleStore Kai™. Now generally available, and ready for both analytical and transactional processing for apps originally built on MongoDB. Announced in public preview in early 2023, SingleStore Kai is an API to deliver over 100x faster analytics on MongoDB® with no query changes or data transformations required. Today, SingleStore Kai supports BSON data format natively, has improved transactional performance, increased performance for arrays and offers industry-leading compatibility with MongoDB query language. Projections: To further advance as the world’s fastest HTAP database, SingleStore has added Projections. Projections allow developers to greatly speed up range filters and group by operations by introducing secondary sort and shard keys. Query performance improvements range from 2-3x or more, depending on the size of the table. With this latest release, SingleStore becomes the industry’s first and only real-time data platform designed for all applications, analytics and AI. SingleStore supports high-throughput ingest performance, ACID transactions and low-latency analytics; and structured, semi-structured (JSON, BSON, text) and unstructured data (vector embeddings of audio, video, images, PDFs, etc.). Finally, SingleStore’s data platform is designed not just with developers in mind, but also ML engineers, data engineers and data scientists. “Our new features and capabilities advance SingleStore’s mission of offering a real-time data platform for the next wave of gen AI and data applications,” said Nadeem Asghar, SVP, Product Management + Strategy at SingleStore. “New features, including vector search, Projections, Apache Iceberg, Scheduled Notebooks, autoscaling, GPU compute services, SingleStore Kai™, and the Free Shared Tier allow startups — as well as global enterprises — to quickly build and scale enterprise-grade real-time AI applications. We make data integration with third-party databases easy with both CDC in and CDC out support.” "Although generative AI, LLM, and vector search capabilities are early stage, they promise to deliver a richer data experience with translytical architecture," states the 2023 report, “Translytical Architecture 2.0 Evolves To Support Distributed, Multimodel, And AI Capabilities,” authored by Noel Yuhanna, Vice President and Principal Analyst at Forrester Research. "Generative AI and LLM can help democratize data through natural language query (NLQ), offering a ChatGPT-like interface. Also, vector storage and index can be leveraged to perform similarity searches to support data intelligence." SingleStore has been on a fast track leading innovation around generative AI. The company’s product evolution has been accompanied by high-momentum growth in customers and surpassing $100M in ARR late last year. SingleStore also recently ranked #2 in the emerging category of vector databases, and was recognized by TrustRadius as a top vector database in 2023. Finally, SingleStore was a winner of InfoWorld’s Technology of the year in the database category. To learn more about SingleStore visit here. About SingleStore SingleStore empowers the world’s leading organizations to build and scale modern applications using the only database that allows you to transact, analyze and contextualize data in real time. With streaming data ingestion, support for both transactions and analytics, horizontal scalability and hybrid vector search capabilities, SingleStore helps deliver 10-100x better performance at 1/3 the costs compared to legacy architectures. Hundreds of customers worldwide — including Fortune 500 companies and global data leaders — use SingleStore to power real-time applications and analytics. Learn more at singlestore.com. Follow us @SingleStoreDB on Twitter or visit www.singlestore.com.

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Data Visualization

DataOps.live to Deliver a Streamlined Data Management Process for Snowflake's Global Technical Sales Teams

DataOps.live | December 11, 2023

DataOps.live, The Data Products Company™, today announced that Snowflake has licensed the DataOps.live platform to prepare and deliver technical sales demonstrations for its global customers. The speed and productivity gains of the enhanced process, called Snowflake Solutions Center, are cost effective and will accelerate sales performance, impacting business insights that are made available to management. "Snowflake's collaboration with DataOps.live will enhance the efficiency, productivity, and value our Sales Engineers bring to our selling efficiency," said Eve Besant, SVP Worldwide Sales Engineering at Snowflake. The Snowflake Solutions Center, supported by the DataOps.live platform, will enable Snowflake users to seamlessly configure, build, test, and deploy data projects and data products for sales demonstration purposes. This comprehensive and collaborative solution includes the following features: Solutions Catalog: Enables users to build and maintain a solutions catalog of Snowflake data product demonstrations. One-Click Deployment: Allows Sales Engineers to effortlessly deploy new instances of Snowflake data product demonstrations with a single click. Lifecycle Management: Manages the entire lifecycle of these data products. Declarative Infrastructure Management: Utilizes DataOps.live's SOLE engine for full declarative management of Snowflake infrastructure. CI/CD and Orchestration: Capabilities that enable efficient project management. Python Orchestration: Delivers streamlined workflows. Git Workflow and Governance: Ensures effective governance with full Git workflow and governance features. DataOps Development Environment: Allows users to utilize the unique cloud-based IDE using VS code and Git for enhanced productivity. Snowpark Applications: Users can now build Snowpark applications with ease. Streamlit and Snowflake Native Apps: Effortlessly deploy Streamlit and Snowflake Native Apps. The solution provided to Snowflake has been tested for many months by a core team of Sales Engineering (SE) leaders and participants from across the globe in a collaborative process to ensure success. A total of 750 Snowflake SEs are anticipated to be trained and onboarded in the coming months to leverage the benefits of the DataOps.live platform in their sales process. "We have worked closely as a partner of Snowflake since 2017 and welcomed Snowflake Ventures as an investor in DataOps.live in 2021, so this collaborative solution is a great honor for us. As the platform to support the Snowflake Solution Center, we look forward to helping them enhance the efficiency and productivity of their solution selling process and drive real value on a daily basis," said Justin Mullen, co-Founder and CEO, DataOps.live. "We are so proud to expand our collaboration with Snowflake and to now include them as a strategic customer," said John F. Marchese, EVP Strategic Business, Alliances & Channels, DataOps.live. "This agreement marks a significant step forward in Snowflake's commitment to provide their worldwide SEs and other customer-facing technical sales staff with cutting-edge DataOps capabilities. Their belief in, and selection of, DataOps.live is an incredible endorsement for our unique ability to create value and drive ROI in business outcomes." About DataOps.live DataOps.live – the Data Products company, delivers productivity breakthroughs for data teams by enabling agile DevOps automation (#TrueDataOps) and a powerful Developer Experience (DX) to modern data platforms. The DataOps.live SaaS platform brings automation, orchestration, continuous testing and unified observability to deliver the Data Products you want at the speed the business needs. DataOps.live is a global company funded by Notion Capital, Anthos Capital and Snowflake Ventures, with enterprise clients including Roche Diagnostics and OneWeb.

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Data Visualization

SensiML Unveils Data Studio - Next-Generation Sensor Data Management for AI / ML

SensiML | December 20, 2023

SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects - creating high-quality datasets for evaluating and developing ML models. According to Cognilytica, a well-respected AI / ML consulting firm, approximately 80% of the total time for machine learning (ML) projects is allocated to data preparation. These tasks include data identification, aggregation, cleansing, labeling, and augmentation – all of which are supported in SensiML's collaborative development environment. SensiML Data Studio significantly improves productivity and simplifies dataset management for anyone working on sensor data ML projects. With real-time connectivity, intuitive visualization tools, sensor data video synchronization, and robust support for large-scale collaborative projects, it offers a seamless experience for developers on edge devices, gateways, PCs, and cloud platforms. A comprehensive overview of all the features of Data Studio can be found on the SensiML website. The primary features are highlighted below: Effortless Data Capture and Import - Capture live sensor data, analyze it instantly, and label any data for seamless insights. Collaboratively Label Sensor Data - Employ flexible labeling methodologies for sensor data, including manual, AI-assisted, and custom – and sync video for effortless complex labeling. Store and analyze data locally on your computer or remotely. Data Analysis and Model Evaluation - Visually compare ML models, filter, transform, and fuse sensor data – all with built-in tools and your own Python expertise. Label and Data Versioning – Keep track of your labels and model results with versioned labels. Easily export your project to an open format. "SensiML Data Studio makes sensor data management and analysis more accessible and efficient, empowering developers to build better, more impactful applications using sensor data across a wide range of industries," said Chris Knorowski, CTO of SensiML. SensiML Data Studio is poised to transform sensor data analysis, offering a valuable resource for researchers, engineers, and data scientists across diverse sectors from agriculture and consumer wearables to medical devices, smart buildings, and factory maintenance. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.

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