Big Data Management, Business Strategy, Data Science

The Modern Data Company Unveils DataOS®

The Modern Data Company Unveils DataOS®

The Modern Data Company recently announced the introduction of the world's first multi-cloud data operating system, DataOS®, which makes it easy for businesses to use data to inform choices. DataOS is a contemporary, open, and composable data management platform as a service (PaaS) that was developed to swiftly operationalize complex data infrastructures. It offers complete data visibility and transforms data into insights that create actionable intelligence.

DataOS is a one-of-its-kinds, innovative data operating system that reclaims control of data for organizations that had previously been dependent on a variety of point solutions through ongoing integrations. Constructing an interoperability layer on top of any existing data infrastructure, it eliminates data silos and enables the operationalization of data to support reliable decision-making.

DataOS makes data simple in three easy steps:

  • It integrates with all systems in the data stack without requiring integrations. DataOS offers regulated access across several clouds and on-premises systems. It eliminates the complexity of data infrastructure and enables users to manage and access data in any cloud and any format through a single pane of control. Since DataOS can connect to any system and observe everything that happens to the data, customers benefit from a near real-time view.
  • DataOS provides data developers and business users with access to data via a knowledge layer. The open standards approach enables developers to use their preferred visualization tools, programming languages, query engines, and AI/ML platforms. Customers using DataOS do not need to reskill their personnel in order to manage a modern data stack.
  • DataOS delivers data in purpose-built formats for sophisticated analytics, AI/ML powering, and fast experimenting with and building data-driven applications. DataOS also allows for secure and high-quality data exchange/sharing with business teams while establishing trust and quality contract parameters. No other technology enables users to activate their data for numerous use cases in a complicated data environment and comprehend it at the most granular level.

About the Modern Data Company

Based in California, U.S., the Modern Data Company is revolutionizing data management with DataOS, the world's first multi-cloud, programmable data system solution. DataOS substantially simplifies an organization's most valuable asset, its data, by detaching it from tools, platforms, and pipelines. It places data at the core of the company and gives them the ability to choose the platforms used to manage data as well as the tools to operationalize it. Modern is transforming organizations from a tool- and platform-centric data architecture to a real data- and user-centric architecture.

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Data Visualization, Data Science

DAS42 Announces Subscriber Analytics Solution on the Snowflake Data Cloud

DAS42 | December 12, 2023

DAS42, a leading data consultancy, today announced a new solution, Subscriber Analytics. By bringing together the data experts at DAS42 and the power of Snowflake’s Media Data Cloud, Subscriber Analytics is built to solve the myriad of challenges subscriber-driven businesses face when digesting and analyzing the millions of data points collected daily. “We are thrilled to announce our Subscriber Analytics solution, in collaboration with Snowflake,” said Tom Stentiford, Chief Delivery Officer at DAS42. “We’ve created a solution that’s instrumental in driving descriptive and predictive insights into business-critical subscriber-based metrics around customer churn and retention, financial performance and modeling, acquisition, and other areas. In a competitive market, we’re setting our customers up for success when it comes to analyzing user and subscriber data, which cannot be easily leveraged without the right tools.” Whether it’s a lack of consumer data for the product team or the abundance of data from various marketing channels, subscription-driven businesses are overwhelmed and need a way to bring disparate data sources into one holistic data platform and a single source of truth. With the Subscriber Analytics solution, leveraging the Snowflake Data Cloud, leaders can drive faster, more informed business decisions, resulting in an increase in subscriber engagement and, ultimately, improved subscriber retention. “Subscriber Analytics from DAS42 and Snowflake is instrumental in customer churn prevention, revenue forecasting, and financial modeling,” said Frank Cittadino, Former CTO of Zayo. “By partnering with DAS42, everyone from our executive team to our engineers experienced measurable efficiency improvements, leveraging data insights for impactful business decisions. Our collective team saves hours weekly by implementing DAS42’s holistic data governance strategy for our first-, second-, and third-party data.” With Subscriber Analytics, businesses will also be able to: Personalize the customer experience by aggregating subscriber behavior and engagement metrics, helping business intelligence and marketing teams save time, create bespoke campaigns and improve customer relationships. Predict trends with transactional data to inform business strategy and accurately forecast revenue, helping business leaders to make faster and better-informed decisions Prevent customer churn allowing for the organization to keep the subscriber base they have, as well as focus on cross-sell and up-sell opportunities "DAS42's Subscriber Analytics solution leverages the value of Snowflake’s Media Data Cloud to innovate and accelerate data-driven insights,” said Adrian Bolosan, Industry Principal, Media, Entertainment & Advertising at Snowflake. “By seamlessly integrating with Snowflake's unified platform, DAS42's Subscriber Analytics solution empowers customers to unlock the full potential of their data. Together, we are not just providing a solution; we are helping to modernize organizations' approach to data intelligence to help them overcome challenges and achieve success in the initiatives that are most important to their business.” Subscriber Analytics is the latest example of the expertise provided by DAS42 and Snowflake, helping subscriber-driven businesses to unlock the true power of data and create more impactful experiences for subscribers and users alike. ABOUT DAS42 DAS42 is a premier data and analytics consultancy with a modern point of view. We specialize in solving some of the most complex business challenges for the world’s most successful companies. As a Snowflake Elite Partner, DAS42 crafts customized strategies that create a single source of truth and enable enhanced and faster decision-making. DAS42 has a presence across the U.S. with primary offices in New York City and Denver. Connect with us at das42.com and stay updated on LinkedIn. Join us today on our journey to help you realize the possibilities of transforming your business through data and analytics.

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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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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

data.world Integrates with Snowflake Data Quality Metrics to Bolster Data Trust

data.world | January 24, 2024

data.world, the data catalog platform company, today announced an integration with Snowflake, the Data Cloud company, that brings new data quality metrics and measurement capabilities to enterprises. The data.world Snowflake Collector now empowers enterprise data teams to measure data quality across their organization on-demand, unifying data quality and analytics. Customers can now achieve greater trust in their data quality and downstream analytics to support mission-critical applications, confident data-driven decision-making, and AI initiatives. Data quality remains one of the top concerns for chief data officers and a critical barrier to creating a data-driven culture. Traditionally, data quality assurance has relied on manual oversight – a process that’s tedious and fraught with inefficacy. The data.world Data Catalog Platform now delivers Snowflake data quality metrics directly to customers, streamlining quality assurance timelines and accelerating data-first initiatives. Data consumers can access contextual information in the catalog or directly within tools such as Tableau and PowerBI via Hoots – data.world’s embedded trust badges – that broadcast data health status and catalog context, bolstering transparency and trust. Additionally, teams can link certification and DataOps workflows to Snowflake's data quality metrics to automate manual workflows and quality alerts. Backed by a knowledge graph architecture, data.world provides greater insight into data quality scores via intelligence on data provenance, usage, and context – all of which support DataOps and governance workflows. “Data trust is increasingly crucial to every facet of business and data teams are struggling to verify the quality of their data, facing increased scrutiny from developers and decision-makers alike on the downstream impacts of their work, including analytics – and soon enough, AI applications,” said Jeff Hollan, Director, Product Management at Snowflake. “Our collaboration with data.world enables data teams and decision-makers to verify and trust their data’s quality to use in mission-critical applications and analytics across their business.” “High-quality data has always been a priority among enterprise data teams and decision-makers. As enterprise AI ambitions grow, the number one priority is ensuring the data powering generative AI is clean, consistent, and contextual,” said Bryon Jacob, CTO at data.world. “Alongside Snowflake, we’re taking steps to ensure data scientists, analysts, and leaders can confidently feed AI and analytics applications data that delivers high-quality insights, and supports the type of decision-making that drives their business forward.” The integration builds on the robust collaboration between data.world and Snowflake. Most recently, the companies announced an exclusive offering for joint customers, streamlining adoption timelines and offering a new attractive price point. The data.world's knowledge graph-powered data catalog already offers unique benefits for Snowflake customers, including support for Snowpark. This offering is now available to all data.world enterprise customers using the Snowflake Collector, as well as customers taking advantage of the Snowflake-only offering. To learn more about the data quality integration or the data.world data catalog platform, visit data.world. About data.world data.world is the data catalog platform built for your AI future. Its cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful Knowledge Graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has 76 patents and has been named one of Austin’s Best Places to Work seven years in a row.

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