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PROMISE Technology Unveiled AI-optimized Surveillance Storage Platforms at Intersec Dubai 2024

PR Newswire — Wed, 10 Jan 2024 12:58:16 +0000

Powered by PROMISE’s proprietary SmartBoost technology, its storage systems enable wide varieties of AI video analytics for leading-edge security capabilities

PROMISE Technology, a leader in streaming data and surveillance storage solutions, is unleashing the full potential of AI with its latest data storage platforms, which it will showcase at the upcoming Intersec Dubai 2024 on January 16-18, 2024 (Stand SA-L19). Expertly tailored to provide the performance and reliability that security systems need, the brand’s offering expands possibilities for AI in surveillance storage across critical infrastructure, banking, commercial sectors, smart factories, urban environments, and the public sector.

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Unleashing AI for surveillance with SmartBoost

A key part of PROMISE’s proprietary technologies — PromiseRAID and Boost Technologies — SmartBoost technology is customized for the surveillance industry and is its core offering for enabling AI. It delivers exceptional reliability, performance, and scalability, while distinguishing the brand in the market by supporting vast camera arrays. Specific to surveillance systems, SmartBoost guarantees zero frame drop and non-stop recording, while enabling data-intensive, high-performance security platforms to utilize AI video analytics. A crucial part of modern security capabilities, these include leveraging machine learning and vision AI for sophisticated applications such as object and person detection, people counting, facial recognition, and identification of age, gender, and emotions.

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Live demos show full array of cutting-edge security platforms

At Intersec Dubai 2024, PROMISE will showcase various surveillance system scenarios to demonstrate the full range of its capabilities.

“We distinguish ourselves by blending comprehensive, cutting-edge solutions for optimal performance with proactive, worldwide customer service that is tailored to security needs, making us a one-stop shop for the industry,” commented Alice Chang, Chief Marketing Officer of PROMISE Technology. “Leveraging our leading expertise in RAID storage, we ensure that our clients have the most efficient, reliable, and advanced surveillance platforms in the market — and that they are empowered to fully leverage AI.”

The four scenarios on display will include:

AI-driven video analytics: Showcasing large-scale AI video analytics running on a system with graphics computing power that balances hardware and software.
“Greener” security systems: Featuring certified 80 Plus Platinum and Titanium PSUs and PROMISE’s own GreenBoost technology for reduced energy use and carbon footprints.
Setups for commercial markets: Tailored systems based on PROMISE’s new Vess A3340P and A6600P combined with video management software for mainstream and small to medium-sized firms.
Enterprise market platforms: Compact, slim solutions using Vess A8120, R3600, and Vess A8000 Series for archiving video footage are ideal for larger corporations such as major banks, particularly for ATM kiosk surveillance, and can be expanded with JBOD solutions for scaling up capacity.

Read More about AiThority News: How to Avoid AI Hallucinations From Becoming Costly Liabilities

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SignalSTAT: AI-Boosted Veterinary Radiology for Faster, Better Patient Care

GlobeNewswire — Wed, 10 Jan 2024 12:42:27 +0000

Veterinary radiology company, SignalPET has launched their new product, SignalSTAT, which seamlessly blends cutting-edge AI technology with human expertise to offer pets the fastest, most thorough care possible. With representation in over 2,300 clinics, SignalPET has created an advanced veterinary X-ray interpretation solution that can assess the most critical, urgent cases with both advanced AI technology and expert human oversight with a guaranteed 45-minute turnaround time, available 24/7. This new technology will be exhibited at the upcoming trade show, Veterinary Meeting & Expo (VMX) from January 13-17th.

Using SignalSTAT significantly shortens the time for assessment, allowing SignalSTAT to deliver a rapid and affordable STAT review for all patients. With SignalSTAT’s solution, veterinarians can get full interpretation results in less than one hour, 24/7, at a cost-effective price of $75 or less per study. This report mirrors a radiologist report that includes the differentials, recommendations, and next steps. As a testament to their confidence in their systems, and unlike any other teleradiology provider, SignalPET also offers a 100% guarantee, covering any and all financial claims against veterinary practices using the systems.

SignalPET’s technology was created through continuously evolving machine-learning algorithms that get progressively smarter as the tool is used by veterinarians around the world. The technology assures rapid results, increased speed of diagnosis, a reduced burden on veterinary radiologists in high demand, lower overall veterinary costs, and a contribution to the best possible health care for pets everywhere.

Dr. Neil Shaw, the Chief Veterinary Officer and Medical Founder of SignalPET, advocates for comprehensive care, stating, “We’re committed to ensuring every patient receives a thorough interpretation report. As traditional radiology interpretations experience increased prices or stretched turnaround times to manage demand, SignalSTAT steps in; offering an affordable, guaranteed solution, promptly bridging the gap in care to all patients.”

In response to the launch of SignalSTAT, veterinary diagnostic imaging specialist Avi Avner, BSc, BVSc, CVR, DVDI, MRCVS, said, “This technology really shows the extent to which AI can work with humans, rather than against them, to create better, more efficient outcomes in our fields of work. To see how truly powerful this technology can be at working with veterinary teams as a support to offer faster, more accurate, and more affordable care is astounding.” Avner went on to add, “Because of time limitations, veterinarians are often forced to review urgent cases at breakneck speeds, which can lead to incomplete, or a less thorough understanding of the results. In these critical cases with only a short period of time to review, SignalSTAT offers essential quality processes and comprehensive reporting in record time — a solution that could, in certain cases, drastically increase the chance of survival for pets in critical condition.”

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

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XO Innovates the Private Aviation Industry

GlobeNewswire — Wed, 10 Jan 2024 12:38:07 +0000

XO, the world’s premier private aviation network, innovates and modernizes private aviation to significantly benefit private flyers. Utilizing AI, machine learning, data design, and predictive analytics, XO offers a cost-efficient alternative to private jet ownership and home-based fleet models and delivers instant, transparent real-time pricing for greater convenience and time savings.

Leona Qi, President U.S. at Vista said: “As part of Vista, XO continually innovates the private aviation industry by offering instant and transparent flight options, giving flexible flyers optimal value and choice. As a group, our globally optimized business and fleet model surpasses jet ownership and clients choose us because of this. Innovation is the future of the industry — we’re proud to lead the way.”

Providing four times greater utilization than personal jet ownership.

Recommended AI News: Riding on the Generative AI Hype, CDP Needs a New Definition in 2024XO propels innovation by leveraging augmented intelligence to enhance performance dramatically. Greater utilization delivers pricing and availability benefits to XO clients, making the industry more efficient. Since 2022, aircraft utilization through XO has soared by 125%, marking a significant leap in operational efficiency.

Private flyers weighing the benefits of personal ownership against private charter through XO can begin by comparing utilization. While utilization for personal aircraft remains at roughly 250 flight hours per year, utilization across the XO network continues to grow. Current utilization is over 1,100 flight hours per aircraft, per year.

A fleet model that optimizes routes and cuts unoccupied flights to 25%.

Similarly, XO has driven innovation in the private aviation industry by using a floating fleet model to manage aircraft availability. This replaces the legacy model — in which the fleet has no choice but to return to the home base and aircraft fly empty 50% of the time. The floating feet model has cut this in half to 25%.

XO eliminates the multi-day quote process with its AI-powered system, providing guaranteed pricing in seconds.

Private aviation is a multifaceted air transportation operation with a largely unscheduled aviation environment, necessitating complex trip coordination from a diverse array of private terminals with bespoke aircraft, crew, catering, and ground transportation arrangements.

Therefore, those looking to fly private and obtain pricing embark on a multi-day, multi-touch process to review options or receive what are only “soft quotes” through sales teams and digital platforms. The process is time-consuming and frustrating, and the price is not guaranteed.

XO has reduced the process from days to seconds. It can accurately deliver real-time pricing to private flyers through an XO-developed, AI-driven system that analyzes more than 2,000 daily flight requests globally, over 6,000 daily XO mobile app searches, and historical industry booking trends.

Book instantly with over 200,000 globally available flights across all regions.

Leveraging technology, XO provides members and clients convenient ways to search and instantly book seats with pricing that is based on demand and delivered instantly and guaranteed.

By offering a cost-effective and efficient alternative to jet ownership, using a floating fleet model that cuts empty leg flights significantly, and providing customers with convenience through instantly bookable flights and real-time pricing, XO is leading a more open future for private aviation while delivering benefits to its clients — ultimate convenience, service, enhanced productivity, privacy, and security.

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

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Richtech Robotics Redefines the Bar Experience With Cutting-edge AI for Robot Bartender at CES 2024

GlobeNewswire — Wed, 10 Jan 2024 12:31:16 +0000

Richtech Robotics Inc. a Nevada-based company and a provider of AI-driven service robots, announces its advanced AI capabilities for its robotic solution ADAM at the Consumer Electronics Show (CES) 2024 held in Las Vegas January 9th-12th, in the North Hall, booth 9335. Richtech Robotics believes these advancements will revolutionize ADAM’s capabilities beyond its role as a robot bartender, barista, or boba tea maker, enabling it to engage in sophisticated conversations with customers and emulate human actions with exceptional accuracy.

By analyzing and adapting to human-like motions, ADAM will become more interactive, accurately predicting and catering to customers’ needs with improved precision. This advancement aims to not only enhance efficiency in task execution but also create a more engaging and fluid interaction between ADAM and customers. Richtech Robotics believes this innovative feature will redefine the landscape of robotic assistance in hospitality, fostering a seamless and enjoyable experience for patrons while supporting businesses with enhanced operational capabilities.

“This technology not only addresses the current labor challenges but enhances the guest experience, making the robots more engaging and interactive,” said Matt Casella, Richtech Robotics’ President. “Our goal is to alleviate the labor burden, enabling restaurants and bars to support their current staff while focusing on other areas of their business, helping them to grow, scale, and improve their bottom line.”

The new capabilities aim to elevate personalized interactions and significantly enhance efficiency, facilitating quicker service and seamless integration of robots across various settings. The enhancements will soon be available to customers in the U.S., and are expected to transform the entire robotic dining experience.

Richtech Robotics completed its IPO in November 2023 and addresses a critical need within the $4.7 trillion U.S. hospitality market, which is forecasted to reach $5.8 trillion by 2027. Despite this growth, technology remains an underdeveloped aspect in the industry, compounded by persistent staffing shortages that prevent restaurants and bars from capitalizing on the industry’s resurgence.

As a dedicated partner to hospitality businesses, Richtech Robotics understands the challenges faced by restaurants and bars, and has developed technology that aims to remove such barriers. ADAM, an innovative robot leveraging machine learning, AI, and edge computing, specializes in creating customizable drinks, enhancing productivity and experience through engaging 24/7 service.

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

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SiLC Technologies Unveils the Eyeonic Vision System Mini: A Leap in Precision LiDAR Technology

Business Wire — Wed, 10 Jan 2024 09:58:51 +0000

New AI Machine Vision System Offers Unmatched Sub-Millimeter Resolution in a Significantly Reduced Size

SiLC Technologies, Inc. (SiLC), the leading developer of integrated single-chip FMCW LiDAR solutions, announced the launch of the Eyeonic™ Vision System Mini (Eyeonic Mini), a groundbreaking advancement in LiDAR technology. This innovative system, integrating a full multi-channel FMCW LiDAR on a single silicon photonics chip and an integrated FMCW LiDAR System-on-Chip (SoC), sets a new industry benchmark in precision.

Utilizing the industry’s first purpose-built digital LiDAR processor SoC, the iND83301 (“Surya”) developed by indie Semiconductor, the Eyeonic Mini achieves an unprecedented level of detail, delivering an order of magnitude greater precision than existing technologies while being one-third the size of last year’s pioneering model. This latest innovation builds upon the success of SiLC’s first commercial FMCW LiDAR system, the Eyeonic Vision System, founded on an integrated silicon photonics chip and designed specifically for machine vision applications.

SiLC’s Eyeonic Vision Chip, central to the system, amalgamates all essential photonics functions into a coherent vision sensor, delivering a compact solution that meets the demands for performance, affordability and low-power consumption. The system’s exceptional accuracy is driven by a 4-channel FMCW LiDAR chip, complemented by indie’s innovative Surya SoC, and equips robots with sub-millimeter depth precision from distances exceeding 10 meters.

This level of precision opens new doors in automation, particularly in warehouse logistics and AI machine vision applications. For instance, AI-driven palletizing robots equipped with the Eyeonic Mini can fully view and interact with pallets, optimizing package placement and loading onto trucks with efficiency and safety. In the context of the U.S., with its over 13 million commercial trucks, this technology promises to revolutionize warehouse operations and the broader trucking industry, significantly boosting efficiency in loading and unloading processes.

Giving robots the intelligence to see, move, touch, think and learn, Dexterity is working on incorporating SiLC technology into their robot autonomy platform. “At Dexterity, we focus on AI, machine learning and robotic intelligence to make warehouses more productive, efficient and safe,” remarked CEO Samir Menon. “We are excited to partner with SiLC to unlock LiDAR for the robotics and logistics markets. Their technology is a revolution in depth sensing and will enable easier and faster adoption of warehouse automation and robotic truck load and unload.”

“Our FMCW LiDAR platform aims to enable a highly versatile and scalable platform to address the needs of many applications,” added Dr. Mehdi Asghari, CEO of SiLC Technologies. “At CES this year, we’re demonstrating our long-range vision capabilities of over two kilometers. With the Eyeonic Mini we’re showcasing our high precision at shorter distances. Our FMCW LiDAR solutions, at short or long distances, bring superior vision to machines to truly enable the next generation of AI-based automation.”

“The Eyeonic Mini represents the next evolution of our close collaboration with SiLC. The combination of our two unique technologies has created an industry-leading solution in performance, size, cost, and power,” said Chet Babla, SVP Strategic Marketing at indie Semiconductor. “This creates a strong foundation for our partnership to grow and address multiple markets, including industrial automation and automotive.”

For machines to be capable of truly augmenting our lives, their vision solution must be powerful, compact, scalable, and unaffected by complex, unpredictable environments and conditions, including interference from other systems. It must provide motion, velocity, polarization, and precision – prerequisites which exclude existing, time-of-flight-based solutions and instead point to FMCW as the needed platform. FMCW technology enables a new generation of imaging solutions that can directly capture images for AI machine vision, factory robots, home security, autonomous vehicles, and perimeter security applications.

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

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Lily AI Launches Customer-Centric Content Generation to Improve Product Discovery and Drive Sales

GlobeNewswire — Tue, 09 Jan 2024 19:27:07 +0000

Lily AI a retail technology platform specializing in AI solutions for retailers and brands, announced the launch of AI-powered, customer-centric content generation. This solution combines Lily AI’s existing computer vision, natural language processing, and machine learning with vertical-specific large language models (LLMs) to empower teams to create high-performing product and marketing copy. Now, retailers and brands can inject the consumer perspective directly into product pages and romance copy across e-commerce and marketplace listings.

With Lily AI’s Content Generation, merchants and marketers alike can launch collections faster and drive full-price sales by automating copy for titles and descriptions that are search-optimized, data-driven, on-brand, and, importantly, deliver more helpful and successful shopping experiences. Further, this solution can be harnessed by site merchandisers, copywriters, and other digital creatives to improve efficiency and accelerate the production of email and advertising campaigns.

Specifically, retailers and brands who utilize Lily AI content generation can easily ensure all copy is:

Automatically SEO-optimized by leveraging the most accurate and customer-centric product attribution available
Consistently standardized and customized per product
Highlighting each item’s uniqueness, benefits, and function
Conversion-optimized by integrating analysis of a retailer’s first-party online data
Consumer-oriented by harnessing “real customer speak” to describe products, including subjective terms like occasions, styles, and trends
Easy to proof, integrate, and distribute to different systems, including PIMs and e-commerce, marketplace, advertising, and marketing platforms.

“Those who know us know that we are passionate about making consumers feel great when they shop. We’re equally committed to uplifting retailers and brands too and helping them work smarter, not harder, which is why we are excited to launch our newest solution to improve content generation across sales and marketing,” said Purva Gupta, Co-founder and Chief Executive Officer of Lily AI.

“Advances in Generative AI are transforming every industry, and retail is no exception,” said Sowmiya Chocka Narayanan, Co-Founder and Chief Technology Officer of Lily AI. “I am thrilled to expand our retail AI suite and further integrate LLMs in order to provide high-impact solutions for our retail customers. Generative AI, with its advanced natural language capabilities, will continue to impact the future of work, and it’s critical to empower teams to capably meet this remarkable moment in technological history.”

Within the apparel industry alone, McKinsey estimates that generative AI could add up to $275 billion to the operating profits of the apparel, fashion, and luxury sectors in the next three to five years. McKinsey further estimates that generative AI could increase the productivity of the marketing function by 5 to 15 percent of total marketing spend by improving areas such as: efficient and effective content creation, SEO optimization, and product discovery and search personalization.

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

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GTT Elevates Its Global IT Operations With AIOps From Selector

GlobeNewswire — Tue, 09 Jan 2024 18:23:35 +0000

GTT Communications, Inc., a leading global provider of managed network and security services to multinational organizations, announced its adoption of the artificial intelligence for IT operations platform by Selector, the leading provider of network-aware AIOps, observability and multi-domain analytics. With Selector, GTT is redefining IT Operations with comprehensive observability, actionable insights for managing networking and application infrastructures, root cause analysis and advanced analytics.

Over two-thirds of GTT’s customer traffic originates and terminates on its global Tier 1 IP backbone.¹ To enhance the customer experience, GTT is applying Selector to its internal IP backbone monitoring systems to gain efficiency by using AI and machine learning to correlate data across multiple data sources and types. GTT can proactively detect and remediate operational issues, optimize resource allocation and prevent service interruptions.

Selector was recently named a 2023 Gartner^® Cool Vendor in Monitoring and Observability and offers GTT multiple high-impact features, including:

Cutting-edge machine learning to power smart alerting, automated event correlation, anomaly detection and root cause analysis — allowing GTT to shift from reactive to proactive incident management workflows.
Comprehensive observability and actionable insights for managing networking, security and application infrastructures, root cause analysis, and advanced analytics. Use cases include detecting significant drops or changes in traffic, link quality degradation, traffic management patterns, forecasting and proactive alerting.
Search-driven query functionality delivers a conversational experience for operators to drill down, surface root causes, file tickets and remediate issues through conversational AI.
Support for integrations with a wide range of data formats and sources, including network, infrastructure, cloud services and applications.

GTT recognizes the transformational elements of AIOps in revolutionizing its operations in partnership with Selector while continuously driving implementation of new use cases to support additional business outcomes and empower enterprises through technology. GTT’s investment in continuous innovation delivers tangible results and ongoing improvement to end-user experiences, providing a pathway for customers to achieve their business objectives while relying on GTT to securely manage their Wide Area Network with streamlined efficiency.

“Our work with Selector reflects a shared dedication to innovation for operational excellence,” said Fletcher Keister, chief product and technology officer, GTT. “Leveraging the power of AIOps across the network accelerates our ability to ingest, analyze, correlate and act on data to continuously improve our network’s performance and deliver the best service experience for our customers.”

“Selector’s AIOps solution has been successfully deployed at some of the world’s largest enterprises and service providers,” said Kevin Kamel, vice president of product management at Selector. “GTT’s decision to partner with Selector further reinforces the importance of leveraging collaborative AI or ML solutions for optimizing IT operations. By utilizing Selector, GTT is experiencing firsthand the significant improvements in operational efficiency that AIOps can bring.”

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

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TSPi and Google Public Sector Modernize U.S. Government Commerce and Trade Missions using AI/ML tools

PRNewswire — Tue, 09 Jan 2024 18:04:23 +0000

TSPi, a leader in modern data-led IT transformation and a Google Partner, announced the successful use of their R3 nxtData accelerator built on Google Cloud to modernize U.S. Government regulatory food import monitoring missions. TSPi’s R3 nxtData accelerator allows government agencies to rapidly deploy modern data and AI/ML technologies that improve efficiency, increase performance, and accelerate success.

TSPi leveraged Google Cloud to automate predictive analytics and trained machine learning (ML) models to scan food import data and detect anomalies indicating non-compliance. Through advanced analytics, artificial intelligence and machine learning (A/AI/ML) solutions, nxtData guided the government towards effective decision making allowing for substantial gains in audit coverage and regulatory compliance.

“Our nxtData accelerator and close work with Google Public Sector further enables TSPi to transform citizens’ services by advancing our clients’ modernization journey,” said Vishal Suri, CEO, TSPi. “We look forward to working with Google Public Sector to help more federal clients modernize their operations and better engage with their constituents through our nxtData accelerator.”

“Partners like TSPi are critical in helping our joint clients drive more effective results,” said Liz Combs, head of Federal Civilian Partner Ecosystem, Google Public Sector. “By working with TSPi and leveraging their experience with Google AI technologies, we can empower even more federal clients to help boost efficiency, innovate faster, and deliver improved outcomes, while helping them continue to meet constantly changing policies and mission demands.”

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

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Thoughtworks Looking Glass Report Spotlights Strategy, Security and Responsibility in AI Solutions

Business Wire — Tue, 09 Jan 2024 16:04:24 +0000

Thoughtworks a global technology consultancy integrating strategy, design and engineering to drive digital innovation, released the fourth edition of Looking Glass, a report designed to help companies navigate industry shifts and identify new opportunities. Five chapters, known as lenses, analyze trends in technology and identify concrete opportunities and actionable advice.

Generative Artificial Intelligence (GenAI) is finding its way into every part of business as it becomes more available, accessible and applicable to many people. A solid data strategy and clear goals will be required to take advantage of the opportunities. GenAI (or AI) is indiscriminate with what it speeds up, good or bad, wrong decisions can be made even faster than before AI. In order to protect themselves from risk, businesses must focus on making data findable, accessible, trustworthy, interoperable and reusable, all in a highly secure and privacy-conscious way. Data platforms with a product-thinking mindset provide the most viable foundation for success.

“Data platforms enable businesses to gather data insights, build reliable AI systems, control risk and can also be a key component in creating, managing and enforcing data governance. The latter is one of the biggest challenges many organizations face,” said Rachel Laycock, Chief Technology Officer, Thoughtworks. “Yet it doesn’t stop there. Having control over the direction and output of AI systems is part of responsible technology practice and is essential to mitigating against unintended consequences.”

The five lenses in Looking Glass 2024 report are:

AI everywhere: The ability to effectively integrate AI to make people better at their jobs will be key to the success of enterprises in the future. Organizations will need to be deliberate about which technologies they can benefit from and how they will be used.
Realizing value from data and AI platforms: While critical to an AI strategy, a data platform with reliable access to credible, up-to-date data is vital for all enterprises, even those not planning to build GenAI applications in the short term.
Evolving interactions: With everything from voice interfaces to extended reality, existing solutions are becoming more immersive and seamless. Organizations need to reimagine how they engage with, learn from and delight stakeholders.
Accelerating physical-digital convergence: Software is a core component of everything from vehicles to home appliances. It’s not just organizations with a connection to the physical environment that need to bridge the gap between the real and the virtual — we expect this to affect any organization that is not a pure digital play.
Responsible tech – a critical consideration: Guardrails around privacy, security and sustainability need to be firmly embedded in an organization’s approach to technology.

Thoughtworks’ Looking Glass is updated on an annual basis to keep pace with the constant shifts in technology possibilities and business priorities.

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

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Tomtom Orbis Maps Sets New Standard For Mapmaking With Unprecedented Coverage And Visualization

GlobeNewswire — Tue, 09 Jan 2024 14:02:07 +0000

TomTom’s new Orbis Maps is the first to combine the best of open and proprietary data sources, delivering solutions across maps, traffic, and navigation.

TomTom (TOM2), the location technology specialist, announced a milestone in the roll-out of its new TomTom Orbis Maps. The maps now feature unprecedented coverage, including an industry-leading 86 million kilometers of transportation networks. Combining the best of open and proprietary data sources and adding advanced visualization, TomTom’s mapmaking platform delivers richer, fresher, and more visually attractive map content.

Drawing on the power of AI and machine learning, TomTom Orbis Maps taps into the richness of OpenStreetMap (OSM), with its millions of active editors. The company’s mapmaking platform integrates this ‘super source’ with many other public sources and proprietary data to create a map that can power the most advanced use cases ranging from on-demand services to automated driving.

TomTom’s new Orbis Maps are based on the standard specification as agreed and promoted by the Overture Maps Foundation, co-founded by TomTom, AWS, Meta, and Microsoft, bringing uniformity and consistency to location data. The scalable way in which it manages and aggregates data becomes even more powerful as TomTom’s mapmaking platform supports the flexibility for customers to add their proprietary data to the map and build custom solutions.

TomTom Orbis Maps also powers the company’s new premium map display solution that provides a more realistic view of the surroundings, enabling an impressively immersive 3D navigation experience for drivers. The highly customizable map visualization solution includes map elements such as lanes, buildings, vegetation, and atmospheric effects, and allows for an overlay of dynamic layers like traffic, EV, and other safety and comfort services.

“I’m extremely proud that we can offer maps that are rich, fresh, and versatile and are based on a standard that is increasingly adopted by the industry,” said Mike Schoofs, Chief Revenue Officer, TomTom. “We are working closely with companies ranging from startups to leaders in tech and automotive as we roll out our new maps. They all recognize the value TomTom Orbis Maps brings through high-quality, reliable maps that are easy to integrate and future-proof. TomTom is unlocking the power of collaborative mapmaking, leading to a map that is growing faster than any other.”

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

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