Machine Learning
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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Data Visualization
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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Big Data Management
Dremio | January 05, 2024
Dremio, the easy and open data lakehouse, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider, today announced a partnership. Under the agreement, Carahsoft will serve as Dremio’s Master Government Aggregator®, making the company’s complete cloud and software portfolio for Government, Defense, Intelligence and Education available through Carahsoft’s reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V, Information Technology Enterprise Solutions – Software 2 (ITES-SW2), National Association of State Procurement Officials (NASPO) ValuePoint, National Cooperative Purchasing Alliance (NCPA) and OMNIA Partners contracts.
This collaboration paves the way for Public Sector organizations to harness cutting-edge data analytics capabilities which empower them to make smarter decisions and significantly enhance operational efficiency through lightning-fast data access. Dremio propels agencies into the future by embracing a state-of-the-art data lakehouse architecture in Public Sector organizations. By transitioning to Dremio's solutions, organizations can enjoy sub-second query performance and a remarkable 10-fold improvement in price performance. The new environment eliminates costly and complex legacy data lake solutions and implements a flexible, highly modern architecture.
Dremio provides cost-effective self-service analytics and data management, simplifying data pipelines and ETL complexity while accelerating insights across diverse storage locations. With a proven track record of modernizing legacy Hadoop environments and implementing the modern data lakehouse solution, Dremio and Carahsoft aim to transform Public Sector data management by breaking down data silos. Embracing a data mesh concept enables efficient handling of various data sources, fostering cross- collaboration and decentralized data control. Dremio’s expertise supports Public Sector agencies in implementing these principles, eradicating data silos for a more collaborative and efficient approach to data analytics.
"Public sector organizations face a range of data infrastructure challenges, many of which are common to both Government and non-government entities. These issues often hinder effective data management, analysis, and decision-making,” said Roger Frey, Vice President of Alliances at Dremio. “Dremio's mission is to make data easily accessible and analyzable for all users, regardless of where it resides. We are excited to partner with Carahsoft to bring our state-of-the-art data analytics solutions to the Public Sector."
“Within the Public Sector’s intricate data landscape, complexities often impede efficient data management and decision making,” said Laura Howton, Sales Director who leads the Analytics and Data Management Team at Carahsoft. “By adding Dremio to our AI and Machine Learning portfolio, our reseller partners can now provide modern, cost-effective and easily accessible data analytics tools to Government customers, bolstering their modernization efforts.”
Dremio’s solutions are available through Carahsoft’s SEWP V contracts NNG15SC03B and NNG15SC27B, ITES-SW2 Contract W52P1J-20-D-0042, NASPO ValuePoint Master Agreement #AR2472, NCPA Contract NCPA01-86 and OMNIA Partners Contract #R191902. For more information, contact the Carahsoft team at 571-591-6430 or Dremio@carahsoft.com; or register for a complimentary webcast, “The Key Steps in Decreasing Costs and Improving Performance Through Data Lake Modernization,” Thursday, January 25, at 2p.m.
About Dremio
Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Use Dremio's lightning-fast SQL query service and any other processing engine on the same data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance. In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data warehouses, and by simplifying ingestion into the lakehouse. Dremio's fully managed service helps organizations get started with analytics in minutes, and automatically optimizes data for every workload. As the original creator of Apache Arrow and committed to Arrow and Iceberg’s community-driven standards, Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are on their lakehouse journey.
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