BIG DATA MANAGEMENT

SafeRide Unveils vInsight™ Fleet – a Deep Learning Data Analytics Solution for Commercial Fleets

SafeRide Technologies | September 14, 2021

SafeRide Technologies, a leading provider of AI-based vehicle health management (VHM), data analytics, and cybersecurity solutions unveiled today vInsight™ Fleet — an AI-based data analytics solution for commercial fleets. vInsight Fleet is a new addition to SafeRide’s VHM platform. The vInsight platform also includes the vInsight™ Developer tool, which enables customers to create AI-based VHM algorithms, and the vInsight™ Edge embedded inferencing engine, which enables efficient execution of vehicle health monitors onboard the vehicle.

Fleet operational efficiency is impacted by multiple factors including vehicle health conditions, driver behavior, drive cycle, mission planning, and more. Although ample data is available today to fleet managers, the complex relationships between these factors make it difficult to identify, isolate, and prioritize the contributing factors and drive effective actions. Generating actionable insights often requires manual analysis of reports by experienced individuals, which delivers limited results.

Existing fleet management solutions use telematics data to track each vehicle’s location, fuel use, engine status, and driver behavior to make sure that rules are followed and best practices are kept. They also interpret diagnostic trouble codes (DTCs) to initiate repairs and create maintenance reminders based on mileage and hours of service. These capabilities are primarily reactive and inefficiently preventative.

vInsight Fleet uses state-of-the art machine learning and deep learning technology to learn the complex relationships between multiple contributing factors within the vehicle and across the fleet by utilizing telematics data and vehicle health indicators that are proactively generated by the vInsight platform. The AI identifies and isolates factors that impact operational efficiency, fuel consumption, and maintenance costs. SafeRide’s AI technology advances fleet management with predictive capabilities and operational insights that were not available before. It helps reduce maintenance costs, minimize diagnostic and repair time, optimize fuel consumption, mitigate roadside repairs, and minimize downtime.

SafeRide also announced today a partnership with Traffilog, a leading provider of telematics, advanced diagnostics, and predictive maintenance services for commercial fleets. Traffilog will integrate SafeRide’s new solution to provide its fleet customers cutting-edge advancements in predictive maintenance and fleet operational efficiency.

”Traffilog’s advanced telematics and data acquisition capabilities provide access to valuable vehicle data”, said Yossi Vardi, SafeRide’s CEO and Co-Founder. “Integrating SafeRide’s deep learning and big data analytics technology together with Traffilog’s platform enables us to deliver best-in-class diagnostics and predictive maintenance services to commercial fleets worldwide.”

“SafeRide’s deep learning technology enables us to further increase the value we deliver to our fleet customers”, said Erez Lorber, CEO of Traffilog. “Integrating vInsight Fleet into our platform provides our customers with unprecedented capabilities to optimize their fleet’s performance and reduce their vehicles’ total cost of ownership.”

vInsight Fleet integrates with telematics and fleet management solutions using open APIs, which enable the use of data from multiple sources and the delivery of insights to each fleet’s preferred management system. The vInsight Fleet software can run on public or private cloud or on premises.

SafeRide is demonstrating the vInsight Fleet solution this week at the American Trucking Association’s Technology and Maintenance Council Fall Meeting in Cleveland, Ohio.

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BIG DATA MANAGEMENT, DATA VISUALIZATION

Syniti Announces New Data Quality and Catalog Capabilities to Help Deliver Clean, Actionable Data

Syniti | September 15, 2022

Syniti, a global leader in enterprise data management, today announced new data quality and catalog capabilities available in its industry leading Syniti Knowledge Platform, building on the enhancements in data migration and data matching added earlier this year. The Syniti Knowledge Platform now includes data quality, catalog, matching, replication, migration and governance, all available under one login, in a single cloud solution. This provides users with a complete and unified data management platform enabling them to deliver faster and better business outcomes with data they can trust. Trustworthy data is critical for the decisions businesses must make to reduce risk, drive competitive advantage and deliver bottom-line growth. According to Gartner® research, "Significant data quality issues remain a key impediment for organizations' digital initiatives. Failure to address data quality issues for critical use cases puts organizations at a disadvantage delivering business value and has severe consequences."1 Historically, in order to get better data, companies would have to buy multiple, point-based solutions like heavy data catalog tools that require massive teams to build and maintain or data quality solutions that only identify problems, rather than helping fix issues. This approach is expensive, unnecessarily complex and does not address the data needs of today's businesses. With the Syniti Knowledge Platform, customers now have a unified solution to address the data needed to drive critical business objectives now and in the future. The same Gartner research states that, "From an end-user perspective, organizations are attracted to [unified data management platforms] this option as well, anticipating improved total cost of ownership due to less integration and maintenance between data quality solutions and adjacent applications."1 Gartner, The State of Data Quality Solutions: Augment, Automate and Simplify , Melody Chien, Ankush Jain, 15 March 2022 Each enhanced component of the Syniti Knowledge Platform includes significant new functionality, updates and enhancements, all of which are amplified by their integration. With these new combined capabilities, organizations will benefit from: More efficient data management: From data identification through to resolution, stakeholders can collaborate in one platform. With a single catalog that underpins all data management activities, data activities can be reused across multiple projects helping drive faster and cheaper data management initiatives. Better resourcing & improved business processes: Linking data management and quality to business outcomes improves processes and decision-making while also helping to ensure more bang-for-their buck when it comes to allocating time and resources. Data quality issues with the greatest impact are automatically detected and KPI improvements are tracked over time with smart remediation pipelines. Faster ROI & savings potential: The Syniti Knowledge Platform offers hundreds of proven, out of the box data quality rules and reports and business outcome-related dashboards, which can help users discover millions of dollars in savings. Rules created in data migrations can be used for ongoing data quality, saving time and enforcing compliance. Knowledge re-use can help reduce future data projects by 50%. "Data quality isn't a one-time event. Organizations need a unified approach that enables them not just to rapidly find bad data, but to efficiently fix it and sustain that high quality to drive continuous, ongoing value. The Syniti Knowledge Platform's new capabilities allow our users to leverage a more efficient, interconnected and user-friendly platform in a way that's directly tied to business outcomes and objectives." Jon Green, Vice President, Product Management, Syniti Kevin Campbell, CEO, Syniti, said: "Poor quality data pollutes the entire organization, negatively impacting business operations and wasting time, money and resources. We have purpose-built a data platform to drive business value as opposed to the many siloed solutions that treat data quality as purely a technical exercise. We want our customers to spend more time drawing insights from trusted data versus finding and fixing data problems." Allan Coulter, global chief technology officer for SAP Services, IBM said: "The strategic important of clean, high-quality data cannot be overstated – it is critical to any business modernization effort and to unlocking potential from future analytics and insights. It is exciting to see the new capabilities Syniti is adding to its Syniti Knowledge Platform to help customers succeed in their transformation journeys." GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. About Syniti Syniti solves the world's most complex data challenges by uniquely combining intelligent, AI-driven software and vast data expertise to yield certain and superior business outcomes. For over 25 years, Syniti has partnered with the Fortune 2000 to unlock valuable insights that ignite growth, reduce risk and increase their competitive advantage. Syniti's silo-free enterprise data management platform supports data migration, data quality, data replication, master data management, analytics, data governance, and data strategy in a single, unified solution. Syniti is a portfolio company of private equity firm Bridge Growth Partners LLC.

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BIG DATA MANAGEMENT, DATA ARCHITECTURE

Immuta Launches All Access Tour for Data Leaders

Immuta | October 13, 2022

Immuta, the leader in data access and data security, today announced the launch of The Immuta All Access Tour, its first owned event series that will highlight the latest trends and innovations in data security in seven major cities around the world. Each stop on the tour will feature a unique mix of thought leadership content, networking opportunities, and immersive experiences for customers and partners. Attendees will experience a variety of collaborative opportunities, including sessions with Immuta leaders, customers, and partners that explore how trailblazing companies are addressing data access and security. Additionally, stops will feature specialized data-fueled speaking sessions and keynotes. The first tour event in New York City will feature sessions with data leaders at JPMorgan Chase and Thomson Reuters, a keynote from Immuta CEO and co-founder Mathew Carroll, and a fire-side chat with former Navy Seal Commander and VMware Chief Operating Officer Mike Hayes. Tour stops include: New York City, NY - Oct 18, 2022 Sydney, AUS - Nov 10, 2022 London, UK - Jan 19, 2023 Dallas, TX - Feb 23, 2023 Washington, DC - Mar 22, 2023 San Francisco, CA - Mar 28, 2023 Boston, MA - Date coming soon “We’re excited to host our first all-access tour that will feature thought-provoking content, high-caliber speakers, and prime networking opportunities with peers and industry leaders. “Attendees will leave energized with enhanced insights and perspectives that will enable them to bring game-changing data security innovation and best practices to their respective organizations to accelerate and remove any barriers to secure data access.” Immuta CEO Matt Carroll The events, sponsored by Snowflake, Databricks, Alation, and EY have a limited capacity, with each guest bringing their unique real-world experience to the table while building and strengthening their networks. The size of these events is meant to foster important discussions between attendees, speakers, and hosts. About Immuta Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, protecting, and monitoring data. Data-driven organizations worldwide trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Alteryx Announces New Analytics Cloud Capabilities and Enterprise Readiness Enhancements To Enable Analytics For All

Alteryx | October 19, 2022

Alteryx, Inc., the Analytics Automation Company, today revealed new enhancements to enable cloud analytics and enterprise readiness, announced at the company's annual customer and partner conference Inspire EMEA 2022. Expanded Cloud and Snowflake Analytic Capabilities Enable Everyone to Deliver Valuable Insights Businesses are embracing modern data architecture and cloud data warehouses like Snowflake to empower everyone in their organization to deliver data-driven insights from anywhere. In response, Alteryx is introducing new developments on the Alteryx Analytics Cloud platform, which provides unified and approachable end-to-end analytics in the Cloud. Alteryx Machine Learning is now powered by the Alteryx Analytics Cloud platform. Now, anyone with a non-data science background can easily build automated machine learning models at scale to create predictive financial forecasts, identify overdue accounts, segment customers, improve user engagement, and more. Designer Cloud powered by Trifacta has dramatically improved the performance of Snowflake data processing. New updates include processing data up to 20x faster when moving data from AWS to Snowflake, enabling users to quickly and easily access and utilize more data sources. "Being able to take advantage of Snowflake computing in Alteryx Designer Cloud is a huge advantage for Advarra that allows us to centralize our resource management and investments," comments Sajid Sayed, senior director, data science platform at Advarra. "These enhancements to Snowflake Pushdown will provide more streamlined analytics performance and will be a huge advantage for Advarra and our data-driven approach to clinical research." "Putting powerful machine learning tools in the hands of everyone and making data science accessible is core to solving the biggest challenges in business today," said Suresh Vittal, chief product officer at Alteryx. "At Alteryx, we are excited these new product enhancements will help essential in-department knowledge experts to make valuable contributions to the business by delivering outcomes that drive the innovation needed to succeed in hypercompetitive landscapes." Improved Security and Speed for Enterprise Readiness with Alteryx 22.3 With exponential growth in the volume of data being created and captured daily, it is critical organizations fast track secure access to data across the organization. In the 22.3 product release, Alteryx enhances security and speed to enterprise-wide analytics insights. To streamline how organizations connect users to data while also better protecting sensitive digital credentials, Alteryx's Data Connection Manager (DCM) now supports Azure Active Directory group authentication for Snowflake and Databricks, as well as a new integration with third-party vaults like HashiCorp and CyberArk. Further, users can speed their time to insights with enhanced Google BigQuery connectivity. With 170x performance improvement, the new update allows analysts to work with large data sets where they live, rather than time consuming, costly processes that impact productivity. And, with general access to PDF to text capabilities, users can swiftly unlock insights from unstructured data using Alteryx Intelligence Suite. About Alteryx Alteryx powers analytics for all by providing our leading Analytics Automation Platform. Alteryx delivers easy end-to-end automation of data engineering, analytics, reporting, machine learning, and data science processes, enabling enterprises everywhere to democratize data analytics across their organizations for a broad range of use cases. More than 8,000 customers globally rely on Alteryx to deliver high-impact business outcomes.

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

Snowplow launches Data Product Accelerators, Snowplow BDP Cloud and Enterprise updates

Snowplow | November 03, 2022

Snowplow, the industry leader in Data Creation and behavioral data, has announced the availability of the first of its Data Product Accelerators (DPAs)— recipes designed to help accelerate the journey from ideation to outcome when designing business-critical data products. The company has also announced preview availability of new offerings within its Behavioral Data Platform (BDP) portfolio. Data Product Accelerators Snowplow DPAs mark the next evolution of Data Creation, the category founded by Snowplow that involves the deliberate creation of data to power AI and advanced data applications. These DPAs lay the foundation for the fast creation of data apps, providing a step-by-step guide or referencing data architecture to effortlessly deliver high-impact use cases that solve specific business needs or problems. For example, the Composable CDP DPA will use Databricks, machine learning, and Hightouch to enable the creation of a composable CDP—which an organization could use to collect behavioral data from all customer touchpoints and build a single customer view, to better understand customer behavior and power personalization at scale. “Across industries, organizations know they need to be doing more with data. They know that simply extracting data is not enough—they need to create data that’s meaningful to their unique situation. Yet, in an emerging field like this, we felt that we could do more to share best practices and get outcomes into the hands of Data teams and their organizations. These DPAs will help our customers to easily understand and experience the value of Snowplow, in a context that is highly meaningful to them” said Snowplow President, Chief Product and Marketing Officer, Nick King. The DPAs will be available in an online library and soon to be released within the Snowplow platform, and will include a high-level solution overview, clear implementation process, and technical accelerators to help organizations bring their data products to market faster. There are four DPAs available at launch, including Advanced Analytics for Web (both Snowflake and Databricks), Composable CDP with Predictive ML Modeling, Advanced Analytics for Hybrid Mobile, and Advanced Analytics for Mobile. Preview availability of Snowplow BDP Cloud and BDP Enterprise BDP Cloud Snowplow has also announced the preview of Snowplow BDP Cloud, a new iteration of the behavioral data platform that empowers organizations to create, evolve, and manage behavioral data at scale. Fast to implement, Snowplow BDP Cloud is targeting EU and North American markets initially—removing the burden of deploying Snowplow in your own environment, and ensuring GDPR, and other regulatory compliance. Snowplow BDP Cloud is available as a private preview and customers can sign up here to gain access. BDP Enterprise Available today, BPE Enterprise customers are able to take advantage of the Tracking Catalog. This new feature provides the ability to create an organizational wide view of their tracking architecture, which allows teams to effectively discover, evolve, and manage versioning for their events and entities. Team members of all technical levels can find out about the event, entities, and properties collected by Snowplow. This is particularly helpful for Data Product Managers, a role which requires fast and effective data discovery. “Using the Tracking Catalog allows us to review the graph of events and entities holistically - with the goal being to review our tracking architecture and increase the quality of our event collection," said UK's AutoTrader Engineering Platform and Data Director, Darren Haken. "It can also provide a non-technical view to our Product Managers - helping them understand what events they are collecting on the product.” The BDP Portfolio The new Snowplow BDP portfolio of Cloud and Enterprise is designed to help make advanced analytics available to more businesses. Alex Dean, Snowplow’s co-founder and CEO highlighted the results achieved by current customers. “Already, customers like Strava, Gousto, and DPG Media are forging ahead with Data Creation using Snowplow,” he said. “These new offerings will pave the way for more organizations across the globe to tap into the rich possibilities of using behavioral data to power advanced analytics and AI applications.” About Snowplow Snowplow generates, governs and models high-quality, granular behavioral data, ready for use in AI, ML, and Advanced Analytics applications. When integrated with other tools from the modern data stack, Snowplow can power a wide variety of advanced use cases, allowing organizations to drive significant business value with behavioral data. Data products built on top of Snowplow include the composable CDP, first-party digital analytics and ML-powered churn reduction for subscription businesses.

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