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
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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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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