Big Data Management
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.
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.
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.
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.
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."
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.
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).
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.