Urban populations are expected to double by 2050, which means around 2.5 billion people could be added to urban areas by the middle of the century, driving the need for more sustainable urban planning and public services. Cities across the globe are turning to digital twins and AI agents for urban planning scenario analysis and data-driven operational decisions. Building a digital twin of a city and testing smart city AI agents within it, however, is a complex and resource-intensive endeavor, fraught with technical and operational challenges. To address those challenges, NVIDIA today announced the NVIDIA Omniverse Blueprint for smart city AI, a reference framework that combines the NVIDIA Omniverse, Cosmos, NeMo and Metropolis platforms to bring the benefits of physical AI to entire cities and their critical infrastructure. Using the blueprint, developers can build simulation-ready, or SimReady, photorealistic digital twins of cities to build and test AI agents that can help monitor and optimize city operations. Leading companies including XXII, AVES Reality, Akila, Blyncsy, Bentley, Cesium, K2K, Linker Vision, Milestone Systems, Nebius, SNCF Gares&Connexions, Trimble and Younite AI are among the first to use the new blueprint. NVIDIA Omniverse Blueprint for Smart City AI  The NVIDIA Omniverse Blueprint for smart city AI provides the complete software stack needed to accelerate the development and testing of AI agents in physically accurate digital twins of cities. It includes: NVIDIA Omniverse to build physically accurate digital twins and run simulations at city scale. NVIDIA Cosmos to generate synthetic data at scale for post-training AI models. NVIDIA NeMo to curate high-quality data and use that data to train and fine-tune vision language models (VLMs) and large language models. NVIDIA Metropolis to build and deploy video analytics AI agents based on the NVIDIA AI Blueprint for video search and summarization (VSS), helping process vast amounts of video data and provide critical insights to optimize business processes. The blueprint workflow comprises three key steps. First, developers create a SimReady digital twin of locations and facilities using aerial, satellite or map data with Omniverse and Cosmos. Second, they can train and fine-tune AI models, like computer vision models and VLMs, using NVIDIA TAO and NeMo Curator to improve accuracy for vision AI use cases​. Finally, real-time AI agents powered by these customized models are deployed to alert, summarize and query camera and sensor data using the Metropolis VSS blueprint. NVIDIA Partner Ecosystem Powers Smart Cities Worldwide The blueprint for smart city AI enables a large ecosystem of partners to use a single workflow to build and activate digital twins for smart city use cases, tapping into a combination of NVIDIA’s technologies and their own. SNCF Gares&Connexions, which operates a network of 3,000 train stations across France and Monaco, has deployed a digital twin and AI agents to enable real-time operational monitoring, emergency response simulations and infrastructure upgrade planning. This helps each station analyze operational data such as energy and water use, and enables predictive maintenance capabilities, automated reporting and GDPR-compliant video analytics for incident detection and crowd management. Powered by Omniverse, Metropolis and solutions from ecosystem partners Akila and XXII, SNCF Gares&Connexions’ physical AI deployment at the Monaco-Monte-Carlo and Marseille stations has helped SNCF Gares&Connexions achieve a 100% on-time preventive maintenance completion rate, a 50% reduction in downtime and issue response time, and a 20% reduction in energy consumption. https://blogs.nvidia.com/wp-content/uploads/2025/06/01-Monaco-Akila.mp4 The city of Palermo in Sicily is using AI agents and digital twins from its partner K2K to improve public health and safety by helping city operators process and analyze footage from over 1,000 public video streams at a rate of nearly 50 billion pixels per second. Tapped by Sicily, K2K’s AI agents — built with the NVIDIA AI Blueprint for VSS and cloud solutions from Nebius — can interpret and act on video data to provide real-time alerts on public events. To accurately predict and resolve traffic incidents, K2K is generating synthetic data with Cosmos world foundation models to simulate different driving conditions. Then, K2K uses the data to fine-tune the VLMs powering the AI agents with NeMo Curator. These simulations enable K2K’s AI agents to create over 100,000 predictions per second. https://blogs.nvidia.com/wp-content/uploads/2025/06/02-K2K-Polermo-1600x900-1.mp4 Milestone Systems — in collaboration with NVIDIA and European cities — has launched Project Hafnia, an initiative to build an anonymized, ethically sourced video data platform for cities to develop and train AI models and applications while maintaining regulatory compliance. Using a combination of Cosmos and NeMo Curator on NVIDIA DGX Cloud and Nebius’ sovereign European cloud infrastructure, Project Hafnia scales up and enables European-compliant training and fine-tuning of video-centric AI models, including VLMs, for a variety of smart city use cases. The project’s initial rollout, taking place in Genoa, Italy, features one of the world’s first VLM models for intelligent transportation systems. https://blogs.nvidia.com/wp-content/uploads/2025/06/03-Milestone.mp4 Linker Vision was among the first to partner with NVIDIA to deploy smart city digital twins and AI agents for Kaohsiung City, Taiwan — powered by Omniverse, Cosmos and Metropolis. Linker Vision worked with AVES Reality, a digital twin company, to bring aerial imagery of cities and infrastructure into 3D geometry and ultimately into SimReady Omniverse digital twins. Linker Vision’s AI-powered application then built, trained and tested visual AI agents in a digital twin before deployment in the physical city. Now, it’s scaling to analyze 50,000 video streams in real time with generative AI to understand and narrate complex urban events like floods and traffic accidents. Linker Vision delivers timely insights to a dozen city departments through a single integrated AI-powered platform, breaking silos and reducing incident response times by up to 80%. https://blogs.nvidia.com/wp-content/uploads/2025/06/02-Linker-Vision-1280x680-1.mp4 Bentley Systems is joining the effort to bring physical AI to cities with the NVIDIA blueprint. Cesium, the open 3D geospatial platform, provides the foundation for visualizing, analyzing and managing infrastructure projects and ports digital twins to Omniverse. The company’s AI platform Blyncsy uses synthetic data generation and Metropolis to analyze road conditions and improve maintenance. Trimble, a global technology company that enables essential industries including construction, geospatial and transportation, is exploring ways to integrate components of the Omniverse blueprint into its reality capture workflows and Trimble Connect digital twin platform for surveying and mapping applications for smart cities. Younite AI, a developer of AI and 3D digital twin solutions, is adopting the blueprint to accelerate its development pipeline, enabling the company to quickly move from operational digital twins to large-scale urban simulations, improve synthetic data generation, integrate real-time IoT sensor data and deploy AI agents. Learn more about the NVIDIA Omniverse Blueprint for smart city AI by attending this GTC Paris session or watching the on-demand video after the event. Sign up to be notified when the blueprint is available. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.

From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth. Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a $200 billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI. This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany. NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics. NVIDIA Technologies Boost Robotics Development  Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics. To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data. In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub. Image courtesy of Wandelbots. Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More  Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots. NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment. NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies. Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows. Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact. Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations. Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries. Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3 (FR3) robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic. Image courtesy of Franka Robotics. Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies. SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario. Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation. Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications. Image courtesy of Vention. Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27. 

Your brand is no longer just what you say to your audiences. If you’re not actively managing your algorithmic footprint, AI systems will define your brand for you. And it may not be accurate—or favorable.

Vivimos en un mundo donde los datos están por todas partes. Desde las compras que haces online hasta la música que escuchas o las decisiones que toma una empresa… todo genera información. Pero esos datos, por sí solos, no significan nada. Lo qu

En el mundo del análisis de datos, la visualización es clave para interpretar y comunicar insights de manera efectiva. Looker Studio, anteriormente conocido como Google Data Studio, es la respuesta de Google a esta necesidad, ofreciendo una plataform

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Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question (and many others), we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage.

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In the event that more than the stated number of prize(s) becomes available for any reason, Sponsor reserves the right to award only the stated number of prize(s) by a random drawing among all legitimate, un-awarded, eligible prize claims.ACCEPTANCE AND DELIVERY OF THE PRIZE: The Winner will be required to verify his or her address and may be required to execute the following document(s) before a notary public and return them within seven (7) days (or a shorter time if required by exigencies) of receipt of such documents: an affidavit of eligibility, a liability release, and (where imposing such condition is legal) a publicity release covering eligibility, liability, advertising, publicity and media appearance issues (collectively, the "Prize Claim Documents"). If an entrant is unable to verify the information submitted with their entry, the entrant will automatically be disqualified and their prize, if any, will be forfeited. The Prize will not be awarded until all such properly executed and notarized Prize Claim Documents are returned to Sponsor. Prize(s) won by an eligible entrant who is a minor in his or her state of residence will be awarded to minor's parent or legal guardian, who must sign and return all required Prize Claim Documents. In the event the Prize Claim Documents are not returned within the specified period, an alternate Winner may be selected by Sponsor for such Prize. The Prize will be shipped to the Winner within 7 days of Sponsor's receipt of a signed Affidavit and Release from the Winner. The Winner is responsible for all taxes and fees related to the Prize received, if any.OTHER RULES: This sweepstakes is subject to all applicable laws and is void where prohibited. All submissions by entrants in connection with the sweepstakes become the sole property of the sponsor and will not be acknowledged or returned. Winner assumes all liability for any injuries or damage caused or claimed to be caused by participation in this sweepstakes or by the use or misuse of any prize.By entering the sweepstakes, each winner grants the SPONSOR permission to use his or her name, city, state/province, e-mail address and, to the extent submitted as part of the sweepstakes entry, his or her photograph, voice, and/or likeness for advertising, publicity or other purposes OR ON A WINNER'S LIST, IF APPLICABLE, IN ANY and all MEDIA WHETHER NOW KNOWN OR HEREINAFTER DEVELOPED, worldwide, without additional consent OR compensation, except where prohibited by law. By submitting an entry, entrants also grant the Sponsor a perpetual, fully-paid, irrevocable, non-exclusive license to reproduce, prepare derivative works of, distribute, display, exhibit, transmit, broadcast, televise, digitize, perform and otherwise use and permit others to use, and throughout the world, their entry materials in any manner, form, or format now known or hereinafter created, including on the internet, and for any purpose, including, but not limited to, advertising or promotion of the Sweepstakes, the Sponsor and/or its products and services, without further consent from or compensation to the entrant. By entering the Sweepstakes, entrants consent to receive notification of future promotions, advertisements or solicitations by or from Sponsor and/or Sponsor's parent companies, affiliates, subsidiaries, and business partners, via email or other means of communication.If, in the Sponsor's opinion, there is any suspected or actual evidence of fraud, electronic or non-electronic tampering or unauthorized intervention with any portion of this Sweepstakes, or if fraud or technical difficulties of any sort (e.g., computer viruses, bugs) compromise the integrity of the Sweepstakes, the Sponsor reserves the right to void suspect entries and/or terminate the Sweepstakes and award the Prize in its sole discretion. Any attempt to deliberately damage the Sponsor's website(s) or undermine the legitimate operation of the Sweepstakes may be in violation of U.S. criminal and civil laws and will result in disqualification from participation in the Sweepstakes. Should such an attempt be made, the Sponsor reserves the right to seek remedies and damages (including attorney's fees) to the fullest extent of the law, including pursuing criminal prosecution.DISCLAIMER: EXCLUDING ONLY APPLICABLE MANUFACTURERS' WARRANTIES, THE PRIZE IS PROVIDED TO THE WINNER ON AN "AS IS" BASIS, WITHOUT FURTHER WARRANTY OF ANY KIND. SPONSOR HEREBY DISCLAIMS ALL FURTHER WARRANTIES, EXPRESS, IMPLIED, OR STATUTORY INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE WITH RESPECT TO THE PRIZE.LIMITATION OF LIABILITY: BY ENTERING THE SWEEPSTAKES, ENTRANTS, ON BEHALF OF THEMSELVES AND THEIR HEIRS, EXECUTORS, ASSIGNS AND REPRESENTATIVES, RELEASE AND HOLD THE SPONSOR its PARENT COMPANIES, SUBSIDIARIES, AFFILIATED COMPANIES, UNITS AND DIVISIONS, AND THE CURRENT AND FORMER OFFICERS, DIRECTORS, EMPLOYEES, SHAREHOLDERS, AGENTS, SUCCESSORS AND ASSIGNS OF EACH OF THE FOREGOING, AND ALL THOSE ACTING UNDER THE AUTHORITY OF THE FOREGOING, OR ANY OF THEM (INCLUDING, BUT NOT LIMITED TO, ADVERTISING AND PROMOTIONAL AGENCIES AND PRIZE SUPPLIERS) (EACH A "RELEASED PARTY"), HARMLESS FROM AND AGAINST ANY AND ALL CLAIMS, ACTIONS, INJURY, LOSS, DAMAGES, LIABILITIES AND OBLIGATIONS OF ANY KIND WHATSOEVER (COLLECTIVELY, THE "CLAIMS") WHETHER KNOWN OR UNKNOWN, SUSPECTED OR UNSUSPECTED, WHICH ENTRANT EVER HAD, NOW HAVE, OR HEREAFTER CAN, SHALL OR MAY HAVE, AGAINST THE RELEASED PARTIES (OR ANY OF THEM), INCLUDING, BUT NOT LIMITED TO, CLAIMS ARISING FROM OR RELATED TO THE SWEEPSTAKES OR ENTRANT'S PARTICIPATION IN THE SWEEPSTAKES (INCLUDING, WITHOUT LIMITATION, CLAIMS FOR LIBEL, DEFAMATION, INVASION OF PRIVACY, VIOLATION OF THE RIGHT OF PUBLICITY, COMMERCIAL APPROPRIATION OF NAME AND LIKENESS, INFRINGEMENT OF COPYRIGHT OR VIOLATION OF ANY OTHER PERSONAL OR PROPRIETARY RIGHT), AND THE RECEIPT, OWNERSHIP, USE, MISUSE, TRANSFER, SALE OR OTHER DISPOSITION OF THE PRIZE (INCLUDING, WITHOUT LIMITATION, CLAIMS FOR PERSONAL INJURY, DEATH, AND/OR PROPERTY DAMAGE). All matters relating to the interpretation and application of these Sweepstakes Rules shall be decided by Sponsor in its sole discretion.DISPUTES: If, for any reason (including infection by computer virus, bugs, tampering, unauthorized intervention, fraud, technical failures, or any other causes beyond the control of the Sponsor which corrupt or affect the administration, security, fairness, integrity, or proper conduct of this Sweepstakes), the Sweepstakes is not capable of being conducted as described in these Sweepstakes Rules, Sponsor shall have the right, in its sole discretion, to disqualify any individual who tampers with the entry process, and/or to cancel, terminate, modify or suspend the Sweepstakes. The Sponsor assumes no responsibility for any error, omission, interruption, deletion, defect, delay in operation or transmission, communications line failure, theft or destruction or unauthorized access to, or alteration of, entries. The Sponsor is not responsible for any problems or technical malfunction of any telephone network or lines, computer online systems, servers, providers, computer equipment, software, or failure of any e-mail or entry to be received by Sponsor on account of technical problems or traffic congestion on the Internet or at any website, or any combination thereof, including, without limitation, any injury or damage to any entrant's or any other person's computer related to or resulting from participating or downloading any materials in this Sweepstakes. Because of the unique nature and scope of the Sweepstakes, Sponsor reserves the right, in addition to those other rights reserved herein, to modify any date(s) or deadline(s) set forth in these Sweepstakes Rules or otherwise governing the Sweepstakes, and any such changes will be posted here in the Sweepstakes Rules. Any attempt by any person to deliberately undermine the legitimate operation of the Sweepstakes may be a violation of criminal and civil law, and, should such an attempt be made, Sponsor reserves the right to seek damages to the fullest extent permitted by law. Sponsor's failure to enforce any term of these Sweepstakes Rules shall not constitute a waiver of any provision.As a condition of participating in the Sweepstakes, entrant agrees that any and all disputes that cannot be resolved between entrant and Sponsor, and causes of action arising out of or connected with the Sweepstakes or these Sweepstakes Rules, shall be resolved individually, without resort to any form of class action, exclusively before a court of competent jurisdiction located in New York, New York, and entrant irrevocably consents to the jurisdiction of the federal and state courts located in New York, New York with respect to any such dispute, cause of action, or other matter. All disputes will be governed and controlled by the laws of the State of New York (without regard for its conflicts-of-laws principles). Further, in any such dispute, under no circumstances will entrant be permitted to obtain awards for, and hereby irrevocably waives all rights to claim, punitive, incidental, or consequential damages, or any other damages, including attorneys' fees, other than entrant's actual out-of-pocket expenses (i.e., costs incurred directly in connection with entrant's participation in the Sweepstakes), and entrant further irrevocably waives all rights to have damages multiplied or increased, if any. EACH PARTY EXPRESSLY WAIVES ANY RIGHT TO A TRIAL BY JURY. All federal, state, and local laws and regulations apply.PRIVACY: Information collected from entrants in connection with the Sweepstakes is subject to Sponsor's privacy policy, which may be found here.SOCIAL MEDIA PROMOTION: Although the Sweepstakes may be featured on Twitter, Facebook, and/or other social media platforms, the Sweepstakes is in no way sponsored, endorsed, administered by, or in association with Twitter, Facebook, and/or such other social media platforms and you agree that Twitter, Facebook, and all other social media platforms are not liable in any way for any claims, damages or losses associated with the Sweepstakes.WINNER(S) LIST: For a list of name(s) of prizewinner(s), after the Selection Date, please send a stamped, self-addressed No. 10/standard business envelope to Ziff Davis, LLC, Attn: Legal Department, 360 Park Ave South, Floor 17, New York, NY 10010 (VT residents may omit return postage).BY ENTERING, YOU AGREE THAT YOU HAVE READ AND AGREE TO ALL OF THESE SWEEPSTAKES RULES.