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Chatmeter Unveils the Future of Reputation Management with Launch of Pulse AI: Signals

GlobeNewswire — Wed, 10 Jan 2024 09:41:17 +0000

Chatmeter, the leader in reputation management and multi-location intelligence, announced the release of Pulse AI: Signals, enabling brands with critical customer and location insights in real time to grow their business – an industry first.

Multi-location businesses have traditionally used keyword-matching sentiment analysis and Net Promoter Score surveys to get a surface-level understanding of customers. Now, these businesses can type any question into Signals, which will analyze their reviews, social media and surveys to deliver the exact information needed, with the data to back it up, in real time.

“We’re in a new era for multi-location brands,” said John Mazur, CEO of Chatmeter. “Every brand is at risk of their next mention going viral and costing them millions in revenue before they’re even able to respond. Not anymore, thanks to Signals and its pioneering use of generative AI.”

“Armed with Chatmeter’s insightful data, we’ve made swift and effective changes to elevate the guest experience,” said Richard Clarke, senior manager of loyalty and guest feedback at Northland Properties. “As a result, we’ve enjoyed future bookings, repeat stays, and greater guest loyalty. Chatmeter’s ability to close the loop on customer feedback and generate positive results is truly impressive.”

Chatmeter was one of the first reputation management platforms to bring advanced sentiment analysis to the market in 2017 and is now the first to use generative AI to empower multi-location businesses to:

Quickly make better, more informed decisions from real customer feedback through generated reports that answer the mission-critical questions brands have about their customer experience, products, locations, and more.
Gain an even deeper understanding of every customer’s experience and how specific locations are performing by using insights from specific regions, locations, providers, timeframes, and more, along with all of the customer reviews and data, to make informed decisions that drive real business impact.

“While many companies use AI to automate basic tasks, Chatmeter is using multiple, best of breed large language models, including internal models trained on our own data, to deliver actionable insights in real time,” said Chatmeter CTO Dan Cunningham. “We have invested heavily in this technology because we believe that multi-location businesses need insights beyond what is delivered using general sentiment and search, and they need these insights in real time.”

Signals uses an advanced data pipeline to process reviews, social posts and surveys through multiple AI models, including custom-trained versions to deliver the insights multi-location businesses need on topics such as:

Product feedback
Customer satisfaction
Facilities operations
Critical business risks
Customer and employee safety
Regional strengths and weaknesses
And many more….

Across a multi-location brand, thousands of reviews, social posts and surveys may be processed by Signals daily. With the data processed and stored using AI, businesses can ask questions of their data, and get detailed answers back, including insightful analysis, attributing data and downloadable reports.

Signals is now available to Chatmeter customers with the Performance and Intelligence bundles. Additional Pulse AI features will be available later in 2024.

[To share your insights with us, please write to sghosh@martechseries.com]

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Esri Releases Latest Land Cover Map with Improved AI Modeling

Business Wire — Tue, 11 Jul 2023 10:36:04 +0000

Land-use/Land-cover (LULC) maps contextualize and quantify the impacts of earth processes and human activity on the environment. Organizations around the world are now using these tools to inform policy and land management decisions around issues like sustainable development. In continued support of these users and their goals, Esri, the global leader in location intelligence, in partnership with Impact Observatory, has released a global land-use/land-cover map of the world based on the most up-to-date 10-meter Sentinel-2 satellite data for every year since 2017. Following the latest 2022 data released earlier this year, the artificial intelligence (AI) model for classification has been improved, making the maps more temporally consistent.

“We are constantly updating our land-cover map with new data and features, and this latest improvement ensures that anyone viewing temporal change can be confident what they are seeing represents the natural world.”

Year-over-year changes detected in the LULC time series maps can be key indicators for analysts and decision-makers. The AI model performing the global classification has been optimized to reduce model insufficiency, class ambiguity, and sensitivity to seasonal variability. The result is a higher confidence that changes detected represent meaningful real-world changes.

“Users are working with maps that will accurately reflect events and earth processes that are happening in reality,” said Sean Breyer, Esri program manager for ArcGIS Living Atlas of the World. “We are constantly updating our land-cover map with new data and features, and this latest improvement ensures that anyone viewing temporal change can be confident what they are seeing represents the natural world.”

With planned annual releases, users have the option to make year-over-year comparisons in global land cover today and into the future. This is especially important for organizations like national government resource agencies that use this data to define land-planning priorities and determine budget allocations. Governments, businesses, and scientists can now more reliably make these data comparisons.

Esri developed its Sentinel-2 10-Meter Land Use/Land Cover Time Series with European Space Agency (ESA) Sentinel-2 imagery hosted on the Microsoft Planetary Computer, and with machine learning workflows developed by Esri Silver partner Impact Observatory.

“With Esri’s support, Impact Observatory was able to further improve these fully automated maps of the world, which have already been independently assessed as the most accurate global land-cover maps available,” said Steve Brumby, Impact Observatory CEO. “These maps provide important insights into the large-scale patterns of our changing planet.”

The global LULC time series is available online to more than 10 million users of geographic information system (GIS) software through Esri’s ArcGIS Living Atlas of the World, the foremost collection of geographic information and services, including maps and apps. It can also be viewed on the Sentinel-2 Land Cover Explorer, a dynamic, ready-to-use online application that allows anyone anywhere to easily observe change.

Impact Observatory is a mission-driven technology company bringing artificial intelligence (AI) powered algorithms and on-demand data to sustainability and environmental risk analysis for governments, non-profit organizations, companies, and markets. Impact Observatory is committed to making geospatial data more accessible and affordable for everyone. Founded in 2020 in Washington, DC, Impact Observatory’s mission is to empower global decision-makers to be planetary superheroes, with the timely, actionable science-based insights they need to succeed.

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Unacast Launches Location Intelligence Platform Powered by Machine Learning

Cision PRWeb — Mon, 29 May 2023 15:14:18 +0000

Unacast announced the availability ofa powerful new location intelligence platform for real estate investors, retailers, and marketers who want to understand how people move around the United States and within specific locations of interest.

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The Unacast Insights platform helps users interact with migration and demographic trends at the state, city, and zip code level, and understand foot traffic patterns across particular venues or points of interest. With these insights, companies can easily understand performance within their current store mix or investment portfolios, while quickly determining the best location for future investment properties or store placements.

“Population movements, shifting area demographics, and changing foot traffic patterns have significant impact on investment, development, and site location decisions,” said Jonathon Schuster, Chief Product Officer at Unacast. “For years we’ve seen companies use generalized models to try to provide these kinds of insights for their clients. But, truly understanding human behavior in the physical world requires specific, high quality, privacy-safe data modeling paired with technology like machine learning to defend against the instability we see across the GPS location data industry.”

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The datasets that power Unacast Insights are different in that they use both a GPS data aggregation model and a novel machine learning model with a multitude of features to determine location visitation statistics and insights. When validated against ground truth data, Unacast’s models recorded an R-Squared of 91.6% or higher, which is widely considered best-in-class. With Unacast Insights, users can ensure that they’re getting the most stable and accurate results in the industry, and that their investment in the platform will pay dividends for years to come.

“Unacast Insights bridges the gap between simply having the data and realizing its value. It’s a no-code, easy-to-use tool and it is very smart,” said Schuster, adding, “With Insights, you can quickly find the next hot market, analyze store metrics, and instantly get charts, images and maps that you can easily download and share in presentations.”

[To share your insights with us, please write to sghosh@martechseries.com]

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America’s Top 25 Leafiest Capital Cities Revealed via Nearmap AI

PR Newswire — Tue, 23 May 2023 15:27:30 +0000

Nearmap releases report identifying Charleston, WV; Tallahassee, FL; Little Rock, AK; Raleigh, NC and Nashville, TN as the top five leafiest capital cities in the U.S.

Nearmap, a leading location intelligence and aerial imagery solutions provider, released a first-of-its-kind report, America’s Top 25 Leafiest Capital Cities via Nearmap AI, highlighting the country’s Top 25 leafiest capital cities. Compiled through its proprietary aerial imagery technology and coupled with location data from its Nearmap AI platform, this is the first and only research of its kind in the U.S. using a high-resolution data set to compare total residential tree cover across capital cities for insurers, commercial construction companies and governments.

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The report identified the top 25 leafiest capital cities and their percentage of total residential tree coverage as:

Charleston, West Virginia (74.7%)
Tallahassee, Florida (56.1%)
Little Rock, Arkansas (54.9%)
Raleigh, North Carolina (54.7%)
Nashville, Tennessee (53.5%)
Atlanta, Georgia (53.1%)
Annapolis, Maryland (51.0%)
Concord, New Hampshire (49.2%)
Jackson, Mississippi (47.5%)
Augusta, Maine (46.3%)
Jefferson City, Missouri (43.3%)
Austin, Texas (43.2%)
Olympia, Washington (42.9%)
Columbia, South Carolina (40.1%)
Richmond, Virginia (39.9%)
Albany, New York (39.1%)
Montgomery, Alabama (34.9%)
Baton Rouge, Louisiana (34.1%)
St. Paul, Minnesota (33.2%)
Des Moines, Iowa (31.4%)
Topeka, Kansas (30.6%)
Indianapolis City, Indiana (29.5%)
Springfield, Illinois (27.7%)
Frankfort, Kentucky (26.3%)
Columbus, Ohio (26.1%)

Tony Agresta, Executive Vice President and General Manager of North America at Nearmap, said: “The volume of tree cover can have a significant impact on public health and safety, from preventing overheating, improving environmental health, and mental and physical health benefits. Beyond that, the insights gleaned from this data can be used by insurers, construction companies and local governments to create tangible change in their communities, in addition to tracking progress in the creation of greener cities, reducing natural disaster risk and progressing urban development.”

According to the Centers for Disease Control and Prevention, an average of 702 heat-related deaths occurred in the U.S. annually between 2004-2018. Urban heat islands can also create issues such as higher daytime temperatures, reduced nighttime cooling, poor air and water quality and increased demand for energy resources that can result in rolling blackouts.

Dr. Michael Bewley, Vice President of AI and Computer Vision at Nearmap, said: “Data of this detail and consistency has never been possible on such a national scale before. Our Nearmap AI platform uses machine learning to turn high-resolution aerial imagery into information and insights, creating a proprietary dataset that our customers use as a source of truth to make our communities more sustainable, resilient, safe and appealing to residents. The fact that it can be used to make comparisons between current and historical captures is critical. It means that we can help not just to map cities, but actively monitor their change, and to help them quantitatively assess the impact of things like a change in policy, a natural disaster or a shifting climate.”

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Nearmap surveys more than 100 million locations in the United States up to three times per year, making it easy for local governments, insurers and construction companies to continuously unlock AI insights needed to track their performance against goals, identify new areas of concern and measure community impact.

Nearmap recently announced significant updates to their AI solutions at their annual customer event, NAVIG8. The fifth and latest generation of Nearmap AI is enabled by a new deep learning model trained on a much larger data set. The product has grown to an automated map of 78 layers (from 49 layers in the fourth version), and more than 500 facts per address. A full list of the Nearmap AI packs and layers is available here. Among the new layers are “leaf off vegetation” (which can identify trees without leaves, even in summer) and “vegetation debris” (which identifies broken and damaged vegetation, such as dead wood lying on the floor, or trees that have fallen in a wind event). Coupled with the near infrared capture capabilities of the new HyperCamera 3 system, Nearmap is continuing to evolve its offering in vegetation management, extending to use cases such as vegetation health and wildfire risk management.

To inform the development of the America’s Top 25 Leafiest Capital Cities report, Nearmap pulled historical and current tree canopy high-resolution aerial imagery on residential areas covering more than 275 million inhabitants, and harnessed Nearmap AI machine-learning capabilities to identify and analyze residential tree cover density and changes in capital cities throughout the United States.

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ROK Technologies is First Partner in the Esri Partner Network to Earn the ArcGIS Enterprise on Kubernetes Specialty Designation

AIT News Desk — Wed, 21 Dec 2022 14:31:46 +0000

ROK Technologies was the first to earn this specialty designation.

Esri is the global market leader in geographic information system (GIS) software, location intelligence, and mapping. This new specialty designation, which was announced, is only open to Esri Partner Network organizations that want to provide expertise in deploying and managing ArcGIS Enterprise in Kubernetes environments.

This Kubernetes specialty designation is for partners in the Esri Partner network who have expertise in deploying, configuring, and maintaining an ArcGIS Enterprise on Kubernetes as well as expertise in Kubernetes’ best practices. This latest Esri specialty acknowledges ROK as subject matter experts in this key area of growth – Kubernetes environments.

Since ROK Technologies was founded, they have focused on empowering GIS organizations with Cloud-first technologies so they can deliver exceptional GIS experiences to their customers.

“We’re proud to be the first Esri Partner Network organization to receive this important designation,” says Alex Coleman, CEO at ROK Technologies. “ROK Technologies is dedicated to being the master of one thing – taking GIS to the Cloud. Achieving this specialty designation adds an additional core competency in our toolbox that we will use to help organizations harness the true value of the Cloud and develop the best solution to fit their needs.”

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A few success stories from ROK Technologies:

Relocated Connecticut Water Company’s entire enterprise GIS integration to the Cloud for enhanced GIS Performance and IT peace of mind
Migrated GAI Consultants to a Cloud-based GIS environment resulting in increased speed, efficiency, and IT support
Architected Cloud-based GIS solutions resulting in decreased costs and increased efficiencies

Using Esri software, ROK Technologies has crafted GIS Cloud solutions for hundreds of clients ranging in size from Fortune 100 companies to local governments. ROK Technologies functions as an extension of an organization’s IT and GIS departments, by taking over the management of all GIS software and supporting infrastructure.

[To share your insights with us, please write to sghosh@martechseries.com]

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Thoma Bravo Completes Acquisition of Nearmap Ltd

AIT News Desk — Thu, 15 Dec 2022 15:51:36 +0000

Thoma Bravo, a leading software investment firm, and Nearmap Ltd (Nearmap), a leading location intelligence and aerial imagery company listed on the Australian Securities Exchange (ASX), today announced the completion of Thoma Bravo’s acquisition of Nearmap in an all-cash scheme of arrangement valued at approximately AUD $1.055 billion.

Nearmap, founded in Perth, Australia in 2007, is one of the world’s largest aerial survey companies, providing tens of thousands of users with access to high resolution aerial imagery, city-scale 3D content, AI data sets and geospatial tools. The images and data captured via Nearmap’s patented camera systems allow customers across the globe to make more informed decisions, streamline operations and improve financial performance.

Thoma Bravo’s acquisition was first announced on August 15, 2022 and was carried out through an all-cash scheme of arrangement that was implemented on December 15, 2022. Nearmap’s shares will be delisted from the ASX on December 16, 2022.

“The partnership with Thoma Bravo underscores the long-term value of our business and represents a unique opportunity to drive further growth across global markets and solidify Nearmap’s industry-leading position,” said Rob Newman, CEO of Nearmap. “We are confident that transitioning to a private company with Thoma Bravo’s sector expertise, operating capabilities and capital support will position Nearmap to deliver even more value to our customers and partners around the world. I look forward to partnering with the Thoma Bravo team to achieve our shared ambitions for Nearmap’s future.”

“Nearmap is at the forefront of innovation in aerial imagery, data and analytics, and the company is well-positioned to capitalize on the growing global demand for its services,” said A.J. Rohde, a Senior Partner at Thoma Bravo. “There is a large unmet need for cloud-based geospatial information technology and comprehensive insights, particularly in North America, representing one of many growth opportunities for Nearmap. We are excited to partner with Rob and his talented team to build on Nearmap’s momentum and further expand its global footprint.”

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Local Logic Announces Reseller Agreement with Black Knight to Provide Enhanced Data to the Multiple Listing Service Community

AIT News Desk — Mon, 14 Nov 2022 11:49:12 +0000

Local Logic, a location intelligence provider that quantifies location at scale to shape smarter developments and more sustainable cities, announced a third-party reseller agreement with Black Knight, a premier provider of innovative, high-performance software, data and analytics for mortgage and home equity lending and servicing. Through this reseller agreement, Local Logic’s product set will offer critical data to Black Knight’s multiple listing service (MLS) community, enabling members to better understand their local areas and provide enhanced expertise to their customers.

Black Knight is integrating Local Logic’s Local Content and Local Profiles into the dashboards available in the Black Knight Paragon Collaboration Center.

The Local Content SDK evaluates all characteristics of a specific location. It displays Location Scores and related information, and it can be added to any property listing in Canada and the United States.
Local Profiles offers over 60,000 US profiles with each one including a neighborhood profile comprising rich, descriptive text about the transportation options, the services, the character of the neighborhood, an overview of the housing characteristics, a display of at least 12 Location Scores, a map showing boundaries of the neighborhood or city and a heatmap of those Location Scores.

“At Black Knight, we are laser-focused on solutions that facilitate the collaboration between real estate agents and their home buyers and sellers throughout the entire homeownership life cycle,” said Chip McAvoy, EVP Real Estate Solutions, Black Knight Data & Analytics. “This agreement with Local Logic was a natural fit in providing homebuyers using our Collaboration Center with comprehensive and accurate localized information that will help them locate the home of their dreams.”

“It is our top priority to ensure our membership is fully equipped to serve their customers by giving them access to the most relevant and accurate location insights,” said Rhonda Ricketts, Senior Director of MLS Operations at ValleyMLS. “Black Knight is our technology partner and because of the integration with Local Logic’s hyperlocal insights, our members can seamlessly provide rich, local content to their clients.”

Local Logic partners with companies both within the residential and commercial industries, providing data in relation to every aspect outside the four walls of a property. Through this approach, the company is seeking to provide a means for more informed real estate decisions.

“Black Knight and Local Logic serve similar communities, and we saw a great opportunity to be able to provide crucial data to their membership,” said Vincent-Charles Hodder, CEO and co-founder of Local Logic. “The information that will be provided on a local level will have an immense impact on how Black Knight users serve their customers by helping them understand and plan projects in these local communities that go beyond property boundaries.”

[To share your insights with us, please write to sghosh@martechseries.com]

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Spatially Health Launches Digital Health 90-Day Equity Equalizer Pilot

AIT News Desk — Mon, 10 Oct 2022 16:33:14 +0000

Spatially Health, a cloud-based technology company focused on pioneering new methods in geospatial analytics and location intelligence to better understand and improve social determinants of health (SDOH), has announced the launch of its 90-day pilot program for risk-based organizations including ACOs, MCOs, and MA organizations.

The program will help organizations meet CMS’s new compliance requirements: developing an equity plan and streamlining data collection. To achieve its goal of improving equity, CMS’s new compliance requirements come with some financial incentives as part of the ACO REACH program. The financial incentives include a new benchmark adjustment along with some benefit enhancements.

The Spatially Healthy Equity Equalizer Platform gives providers 90-day access to Spatially’s essential data intelligence, including prioritized interventions by SDOH risks, and cost savings.

As risk-based organizations begin to recognize that SDOH act as a comorbidity and raise costs significantly while leading to poor health outcomes, the need for SDOH data collection and analysis continues to rise. Achieving compliance with new CMS requirements demands a sophisticated and technical approach, Spatially Health’s platforms offer organizations the ability to lower compliance and financial risks. At the same time, improving the quality of health outcomes for the vulnerable population, while monitoring outcomes and survey results to refine equity plans and stay compliant.

Benefits of the Equity Equalizer Pilot Program for organizations:

Incorporating critical SDOH data into everyday workflows
Building a health equity plan
Streamlining new data collection requirements
Retaining high-quality measures
Prioritizing SDOH interventions and their impact on maximizing cost savings.

How Spatially Health Works:

Spatially Health is an SDOH expert. The company’s Equity Equalizer Platform encapsulates expertise and helps risk-based organizations lower compliance and financial risks while improving the quality of health outcomes for vulnerable populations. Spatially Health also provides strategic guidance and recommendations for value-based care by mitigating the gap between the new equity plan requirements and the lack of tools to meet the new quality standards.

Spatially Health’s cloud-based platform ties SDOH factors to health outcomes and costs. The platform’s proprietary models leverage location intelligence and spatial analytics that go beyond ZIP codes and provide granular patient insights at the hyper-local level. Spatially helps identify and quantify SDOH risks at the individual level, guiding decision makers on where and how to allocate resources to maximize positive impact and promote equity.

As health equity becomes a top priority, risk-based organizations benefit from including equity measurements in their ongoing risk management. Spatially Health is able to provide scores and critical indicators to account for the dynamic conditions attributed to location, demographics, services, needs, and costs tailored to specific markets. The Spatially Health platform is designed to quickly capture data fields that generate insights and recommendations specific to the provider’s patient population.

Spatially Health is easily integrated with an organization’s existing platform by combining all relevant data points, along with SDOH data and existing data, to provide companies with a holistic view of their patients.

“Risk-based organizations need to take seriously the idea that SDOH is a comorbidity that raises costs significantly and leads to poor health outcomes. There is no assurance that the financial incentives CMS provides to address the needs of vulnerable populations will cover these additional costs. Without a data-driven approach on how to apply these additional financial resources, risk-based organizations are almost guaranteed to lose money while not actually improving the quality of health outcomes!” said Hillit Meidar-Alfi, Ph.D. CEO of Spatially Health.

The future of healthcare will depend on comprehensive approaches to patients and populations that include medical, financial, and social determinants of health. We are here to make that happen,” said Meidar-Alfi.

[To share your insights with us, please write to sghosh@martechseries.com]

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Kinetica Now Available as a Service in AWS Marketplace

AIT News Desk — Thu, 29 Sep 2022 16:19:49 +0000

Kinetica, the database for time & space, is now easily accessible as-a-service in AWS Marketplace, a curated digital catalog that customers can use to find, buy, deploy and manage third-party software, data and services to build solutions and run their businesses on Amazon Web Services (AWS). The listing gives organizations real-time analysis and modern location intelligence on massive IoT data sets.

Many existing databases, even those with special object-relational extensions for spatiotemporal data, have struggled to keep up the scale, speed, and specialized analytics required for modern location intelligence workloads. They were never designed to handle the variety of fusion steps and geometry changes in an acceptable latency profile required to power downstream value-added location aware services. Kinetica applies an innovative compute paradigm, commonly referred to as vectorization, to radically reduce the complexity and increase the scale and performance of spatiotemporal workloads.

Kinetica is available in AWS Marketplace and is fully managed by Kinetica. “Customers across government and commercial industries have been modernizing their location intelligence applications with Kinetica on AWS for years,” said Mona Chadha, Director of AWS Marketplace Category Management. “The availability of Kinetica as a fully managed service in AWS Marketplace allows those customers to purchase quickly via pay-as-you-go (PAYG) or Private Offers, automatically provision environments, and simply integrate their existing applications, enabling them to innovate faster and enhance their performance on AWS.”

Organizations across industries rely on Kinetica to analyze data from sensors and machines in real time. For instance, one of the largest global automakers uses Kinetica to deliver dynamic, real-time intelligence as part of their connected car program, and several of the largest global telco’s use Kinetica to optimize 5G network planning with coverage visualizations. At a top financial services firm, for instance, a 700-node Spark cluster running queries in hours took seconds on 16 nodes of Kinetica. At a top retailer, 100 nodes of Cassandra and Spark were consolidated into eight Kinetica nodes.

By harnessing built-in vectorization capabilities of the latest generation of chips from Nvidia and Intel in AWS, Kinetica now delivers fast querying of large volumes of streaming geospatial and time-series data. Consumption-based pricing lets users choose between CPU or GPU pricing.

“Vectorization historically required exotic hardware and specialized–and scarce–skills, putting it out of reach to all but the largest and most well-funded organizations or government entities,” said Nima Negahban, Founder and Chief Executive Officer at Kinetica. “With Kinetica now available as-a-service in AWS Marketplace–this really levels the playing field for organizations looking to harness this next-generation technology to get the full value of streaming geospatial and time-series data.”

“Kinetica’s fully-vectorized database on AWS offers incredible performance by harnessing data-level parallelism using the built-in Advanced Vector Extensions (AVX-512) of 3rd Gen Intel Xeon Scalable processors,” says Jeremy Rader, GM of Enterprise Strategy & Solutions in the Datacenter and AI Group at Intel. “Across multiple industries, building intelligent, AI-powered applications with access to up-to-date time series and location data is becoming key to success,” said Scott McClellan, Senior Director of Data Science and MLOps at NVIDIA. “Kinetica has a long history of working with NVIDIA to optimize their real-time analytics database with accelerated computing, and the availability of Kinetica in AWS Marketplace greatly increases the accessibility of NVIDIA-powered processing for data scientists and data engineers.”

Deloitte estimates that IoT devices capable of sharing their location will represent 40% of all IoT data by 2025, making spatiotemporal data – where objects are and where they are moving – the fastest growing segment of big data. Prime examples are streams of IoT data from mobile devices, static or moving sensors, satellites, and video feeds from drones and closed-circuit TVs. Applications based on real-time spatial and time-series data are driving digital transformation across industries, including autonomous driving, monitoring the spread of disease, threat hunting in cybersecurity, fleet monitoring, climate change detection, smart energy management, retail proximity marketing, and many others.

[To share your insights with us, please write to sghosh@martechseries.com]

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Geograma Selects Otonomo to Help Advance Road Safety in Spain

AIT News Desk — Wed, 17 Aug 2022 14:00:18 +0000

Otonomo Technologies Ltd., the platform powering the mobility economy, announced that Geograma, a geographic information systems (GIS) and location intelligence service provider, has awarded Otonomo a multi-year contract to provide multi-layered connected vehicle data designed to advance road safety in Spain. Geograma is integrating the granular connected vehicle data delivered through the Otonomo Smart Mobility Data Platform into its traffic platform and developing new road safety applications based on uniquely available extended vehicle sensor data. Geograma’s GEOTRAFFIC platform provides connected vehicle data-based services to traffic management agencies, including traffic analytics and real-time traffic monitoring services which are deployed in regional Traffic Control Centers.

“We selected Otonomo, because they can provide the rich, multi-layered connected vehicle data our customers have been demanding for years,” said Alejandro Guinea de Salas, CEO at Geograma. “One of the unique differentiators Otonomo brings to the table is the depth and breadth of data that we can apply in our traffic management and monitoring platform that we have not had access to previously. This will allow Geograma to gain insights and transform them to deliver road safety solutions—empowering our customers and giving drivers safer roads.”

Geograma’s technology collects and integrates geodata to develop solutions based on derived insights. This includes satellite images of geo-located terrestrial panoramas, mapping, socioeconomic information, pedestrian traffic flow, city maps, asset management inventories, road traffic information and market data. Access to a wide range of geoinformation enables optimized management, operational processes, and support for decision-making in public and private sectors. The multi-layered connected vehicle data delivered through Otonomo’s platform, including detected hazard events and road friction data, will be integrated into the GEOTRAFFIC platform to enhance existing capabilities, for both historical analytics and streaming for real-time services.

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“Having the right data is critical to effective traffic management. With access to traffic analysis and management capabilities, Geograma is able to provide a better understanding of traffic flow, which advances mobility and road safety,” said Ben Volkow, CEO and co-founder of Otonomo. “We’re thrilled that data from the Otonomo platform can support Geograma so effectively to create safer roads and deliver on the future of traffic management.”

The Otonomo Smart Mobility Data Platform provides easy access to a range of proprietary and patented mobility data solutions that power customers, products, and services—from curated, high quality, multi-layered connected vehicle data, standardized and blurred to remove identifiers; to VIN-specific data compliant with data privacy regulations; and ready-to-use insights generated with proprietary machine learning and AI. Customers have used this rich connected vehicle data to:

Gain an unprecedented view of traffic behaviors globally to improve real-time traffic flows with an accurate picture of what’s happening across road systems.
Allow smart cities to manage emissions, intelligently control idling areas, optimize parking and public transport, and create data-driven simulations for short- and long-term planning.
Manage road safety through near-real-time and historical data on accidents, hard braking or speed, in addition to weather events and road friction to identify hazardous sections of road and plan for necessary improvements.
Support infrastructure and transportation developments with vehicle count, average speed, and origin/destination data to determine site analysis and demand planning.

[To share your insights with us, please write to sghosh@martechseries.com]

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