Latest news with #cloudtechnology
Forbes
4 days ago
- Automotive
- Forbes
New Cloud Software Tech Aims To Speed Product Development, Cut Costs
New cloud techology aims to reduce costs and speed vehicle product development by bringing software ... More collaboration earlier into the process. This may be the era of technology-laden software defined vehicles, but a lingering practice by some automakers of not effectively using software in product development could be costing the industry billions in production delays. The issue, is using software up to a point, then relying on costly physical models which take longer to adjust or update. In the trade that's known as software-in-the-loop, or SIL, and hardware-in-the-loop, or HIL. Indeed, caused, in part by delayed software integration, delayed launches could translate into losses of 2% to 7% of the industry's total value, or $30 billion to $50 billion a year in North America, according to a PwC report. Ivy Nguyen, a principal at venture capital company Autotech Ventures. 'It takes seven years to get a car from initial design to market, whereas, in theory, a company in Shenzhen could launch a new smartphone in the span of a couple quarters, and it's only getting faster,' observed in an interview. 'Of all the different categories of product, hardware or automotive, is by far among like the very slowest when it comes to development cycles and engineering is a big part of that.' But companies such as Sweden-based Remotive Labs, have developed systems allowing companies to 'shift-left' on an SIL model, bringing software into the design and engineering of new products much earlier into the processes before creating physical prototypes. Its system is called RemotiveTopology, a cloud-based system where the different entities working on a product can collaborate for a longer time, conducting virtual tests and making adjustments before hardware enters the loop. Per Sigurdson, RemotiveLabs co-founder and CEO (left) and Aleksandar Filipov, co- founder and CTO at ... More RemotiveLabs. 'Engineers spin up a virtual car on day one and run end‑to‑end tests continuously as every new line of code lands, catching problems before they snowball,' said Per Sigurdson, RemotiveLabs co-founder and CEO, in an interview. 'When physical hardware arrives, those exact same tests slide over to hardware test-rigs with no rework—just added real‑world assurance. The result is fewer surprises, faster schedules, and dramatically lower launch risk.' 'We say you need to stop much earlier when you start prototyping, and you don't really know what's going on--that's really left-shifting, where you can start validating and verifying entire platforms before you have any productive code,' added Aleksandar Filipov, co- founder and CTO at RemotiveLabs. Ahsan Qamar, an expert in system design, integration and testing who is familiar with Remotive's system, agrees it has the ability to speed production and reduce costs, saying, 'By executing behavioral models and source code alongside real-world constraints like electrical and network topologies, their platform allows engineers to catch integration issues and bottlenecks before hardware investment, using consistent test suites from concept to final product. This end-to-end validation loop drastically cuts costs and speeds up innovation.' Volvo Cars has used Remotive's cloud-based platform for several years and has seen increased efficiencies. 'RemotiveTopology allows our teams, regardless of their location within our company, to work as if they were sitting side by side, sharing a real-time understanding of the system under development,' said Johannes Foufas, lead architect, Sw Factory, Volvo Car Corporation,' in a statement. 'We are investing in virtual test environments, leveraging RemotiveLabs as a key framework for simulating complex hardware setups. This approach enables faster iteration, higher confidence in software quality, and ultimately, a more agile development process,' added Patrik Andersson, tech lead at complete software integration and release, in emailed remarks. Bringing software in the loop much quicker, is also the focus of technologies from Harman Automotive Services. Steve Surhigh, outbound product manager at Harman Automotive, demonstrating Ready Upgrade and Ready ... More Cquence Loop technologies. As explained by Steve Surhigh, outbound product manager, during a recent demonstration at Harman's facility in suburban Detroit, Ready Cquence Loop provides a single-entry platform with virtual test benches and other features to speed development and reduce the use of hardware. 'In essence, what we do is in the cloud, we create a digital twin of all the software running vehicle,' said Surhigh. 'It allows two things, two main advantages. One is software development can begin sooner in the process, because a developer does not have to have a sample piece of hardware to begin development on. The second area is it increases the velocity of how quickly that developer can develop and validate because they can spin up as many of these virtual targets as they want.' Ready Upgrade is described as a 'cockpit domain controller' that accelerates vehicle software updates, enabling automakers to refresh hardware every two-years and software every three to 12 months. Convincing legacy companies with entrenched cultures that prefer to live in their own walled gardens to swing over to a more open process can be a tough ask. But Autotech's Ivy Nguyen says moving faster and more efficiently to develop new products is the key to holding off much quicker foreign competition. 'To stay ahead now requires speed and requires agility,' declared Nguyen. 'You need to be able to turn it on a dime. You can't take seven years to offer something new, to compete with the new challengers.'
Hospitality Net
11-06-2025
- Business
- Hospitality Net
V Mansion Boutique Hotel and Athena Hotel in Laos upgrade to Hotelogix for centralised group operations
Singapore, 11/June/2025: Hotelogix, a globally leading cloud-based hospitality technology provider, said V Mansion Boutique Hotel and Athena Hotelin Laos have upgraded to its multi-property management system to streamline and centralise operations. In addition, Souphattra Serviced Apartment, their sister property, has also migrated to Hotelogix. The move aims to modernise group-level management, automate daily functions, and enable scalable growth through digital transformation. All three properties - V Mansion Boutique Hotel, Athena Hotel and Souphattra Serviced Apartment, are part of Souphattra Hotels & Resorts, a well-known luxury hospitality group in Laos that manages six elegant boutique properties. Known for its refined aesthetics, personalised service, and cultural charm, the brand caters to discerning leisure and business travellers seeking a premium hospitality experience in Laos. The brand has earned several accolades, including ASEAN Green Hotel Standard 2024-2026, Gold Certified for Accommodation Sustainability by Travelife and the 2022 World Luxury Hotel Award. "We chose to move away from legacy, server-based systems because it couldn't offer us the flexibility and central-level visibility we needed across properties," said Douangchanh Chanhma, Manager at Souphattra Hotel Luang Prabang. "With Hotelogix's cloud-based multi-property management system, we now have centralised control over all operations—crucial for maintaining brand standards and streamlining workflows." Additionally, Hotelogix equips the management at these three properties with anytime, anywhere access to real-time data via a Mobile Hotel PMS App, enabling faster decision-making. While its central-level reports offer insights to make informed decisions, the centralised guest history feature helps ensure consistent, personalised service across all properties. "With Hotelogix, we're not just upgrading our technology platform—we're future-proofing our operations. Centralised control, real-time insights, and smarter guest engagement will help us drive growth and scale efficiently while staying true to the top-notch service we are known for. In a fast-evolving market, adopting a modern solution like Hotelogix is key to staying competitive and agile," Douangchanh Chanhma added. "Popular and guest-centric brands like V Mansion Boutique Hotel, Athena Hotel and Souphattra Serviced Apartment adopting Hotelogix underscores our solution's usefulness for centralised operations," said Sivaprasad Gangadharan, Chief Sales Officer of Hotelogix. "We are excited to help them set new benchmarks for efficient property management and guest service in Laos' competitive hospitality landscape." About Hotelogix Hotelogix is a globally leading provider of cloud-based hospitality technology, offering industry-first Multi-property Management Systems, Hotel PMS, and Mobile PMS Apps for independent and hotel groups. It is trusted by 12,000+ hotels, including 250+ groups in 100+ countries. Hotelogix powered the largest multi-property deployment of 50,000+ rooms across 500+ properties during FIFA 2022 in Qatar. Its distribution brand AxisRooms also offers Channel Manager, Revenue Management solutions, and Rate Shopper. Headquartered in Singapore, it has offices across the USA, India, UAE, Thailand, and the Philippines. For more information, visit: Contact Debi Prasad Sarangi Ph: +91 9986496849 Email: [email protected]
Yahoo
10-06-2025
- Business
- Yahoo
MegazoneCloud Wins 2025 Datadog Partner Network (DPN) Partner of the Year
SEOUL, South Korea, June 10, 2025 /PRNewswire/ -- MegazoneCloud, a leading AI and cloud technology company has been recognized as the 2025 Datadog Partner Network (DPN) Partner of the Year for APAC by the monitoring and security platform for cloud applications Datadog, Inc. (NASDAQ: DDOG). The announcement comes ahead of the 8th annual DASH conference, hosted by Datadog in New York City. The DPN award winners were chosen based on a comprehensive set of criteria, including revenue growth, delivery capabilities across products and services, and overall contribution to customer success. Over the past year, MegazoneCloud has nearly doubled its Datadog-related revenue and expanded its dedicated technical team to more than 20 professionals. The company has also strengthened its capabilities across sales, engineering, technical support, marketing, and cost optimization—playing a key role in Datadog's growth in the Asia-Pacific region. Datadog recognized MegazoneCloud for its sustained business momentum and strong collaboration with customers, naming it the top-performing partner in APAC for 2025. "We are pleased to recognize MegazoneCloud as our DPN Partner of the Year for APJ," said Jarrod Buckley, Vice President, Channels & Alliances at Datadog. "MegazoneCloud has made significant investments in their Datadog practices, consistently delivered successful outcomes for our joint customers, and achieved outstanding business results." Inchul Hwang, Chief Revenue Officer at MegazoneCloud, added, "We're honored to be recognized for the outcomes of our ongoing technical collaboration with Datadog, which has helped enterprises in Korea and globally enhance their monitoring and security capabilities in cloud environments. Moving forward, we'll continue to actively support our customers by breaking down silos and fostering a collaborative culture that drives the broad adoption of AI and cloud technologies—powered by Datadog's unified observability platform." About MegazoneCloud MegazoneCloud is a leading AI and cloud-native company, home to over 2,000 cloud and AI technology experts. As a trusted digital transformation (DX) partner to more than 7,000 clients worldwide, MegazoneCloud empowers innovation and growth through strategic alliances with major global and domestic cloud service providers (CSPs). The company also collaborates with over 140 independent software vendors (ISVs) and offers a suite of proprietary cloud, AI, and security solutions. Under its vision of "Transform Tomorrow, Together", MegazoneCloud is committed to building future-ready competitiveness for its customers—powered by cutting-edge technology, data, and the passion of its people. With local operations in nine countries, including Korea, North America, Japan, Southeast Asia, and Oceania, the company continues to grow alongside its global partners and clients. To learn more, visit: . View original content to download multimedia: SOURCE MegazoneCloud Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
National Post
03-06-2025
- Business
- National Post
Modeshift and ITSMAX Partner to Launch Validating Fareboxes, Advancing Modeshift's Fully-Integrated, 360-Degree Fare Collection System
Article content Article content BOSTON — Modeshift, a leading provider of cloud-based fare collection, announces a strategic partnership with Canadian intelligent transportation technology leader ITSMAX Solutions Inc. Together, the companies are launching new validating fareboxes and a seamless deployment and maintenance program, which is fully integrated with Modeshift's complete, 360-degree fare collection platform. Article content Legacy fare systems have long burdened agencies with unreliable hardware, sluggish deployments, poor customer service that leaves them waiting days or weeks for support and siloed, proprietary software that's difficult to maintain or integrate. Often built before today's Internet of Things (IoT) standards, these outdated systems can't easily communicate with one another, making agencies vulnerable to disruptions whenever one component fails or updates. Article content The Modeshift/ITSMAX partnership addresses these challenges by combining future-ready validating fareboxes with a fully integrated, interoperable platform, backed by a responsive, easy-to-work-with team that delivers fast deployments, tool-free maintenance and dependable service so agencies can focus on moving riders, not fixing broken systems. Article content 'Legacy farebox providers have built their business on outdated, inflexible systems,' said Miroslav Katsarov, CEO of Modeshift. 'We're changing that model by combining cloud-native innovation with reliable and proven hardware and finally giving agencies a modern option that can handle every form of payment, provide real-time data and reduce operating costs. This partnership with ITSMAX is about giving transit systems choice, adaptability and control.' Article content Fast operation and easy maintenance are central to the design of the new validating fareboxes. Designed for quick, on-site serviceability, they significantly reduce system downtime and keep vehicles in operation. Article content All major farebox components are modular and can be swapped out in minutes, minimizing the need for specialized tools or lengthy repairs. With fewer moving parts, the likelihood of mechanical failure is dramatically reduced. Problem components can be swapped out by maintenance staff allowing the vehicle to return to service immediately—while repairs can be handled off-site without disrupting daily operations. Article content 'New intelligent transportation hardware and software solutions must be integrated, interoperable and simpler to maintain,' said Cyril Robitaille, President of ITSMAX. 'We are excited to be partnering with Modeshift with whom we share this vision to deliver innovative Fare Collection solutions.' Article content ITSMAX Solutions' field-proven devices will now be manufactured in the United States at a new, locally based facility, following Buy America compliance, supporting domestic job creation and reducing supply chain dependencies for U.S. transit agencies. Article content By adding cash fare capability with ITSMAX's validating fareboxes, Modeshift provides a comprehensive alternative to legacy systems, empowering transit agencies of all sizes to adopt future-ready, multimodal fare collection without sacrificing ease, compliance or operational control. Combined with Modeshift's account-based ticketing platform, mobile app, real-time passenger information system and CAD/AVL, the fareboxes advance a system that is intuitive for riders and powerful for operators. Article content Modeshift's end-to-end solution can be scaled up or down to fit the needs of rural transit systems, mid-sized cities and large metropolitan agencies alike, positioning it as a new standard for cost-effective, future-ready transit infrastructure. Article content The new fareboxes are currently deploying with two transit agencies in the USA. Article content Modeshift, Inc. is a technology company that helps transit agencies modernize their user-facing technology and the underlying infrastructure to improve efficiency, increase ridership and provide adequate, sustainability-oriented service. It is the only all-in-one digital mobility infrastructure platform that also gives the transit industry the tools to reduce their carbon emissions and aim for sustainability. Article content Our core product is Account-based Fare Collection System, based on the Microsoft Azure cloud and delivered as a service (Software as a Service – SaaS). Modeshift also provides other subsystems which complete the stack of hardware and software needed to operate a modern transit system such as Mobile ticketing, CAD/AVL and real-time passenger information. Article content ITSMAX Solutions Inc. is a Canadian-based leader in Intelligent Transportation Solutions. Founded in 2006 from the fusion of an IT company and a major private Canadian transit operator, ITSMAX uniquely combines the practical knowledge and systems skills to develop and manufacture transit, fare collection hardware and software. ITSMAX brings proven expertise in the development and deployment of future-proof and cost-effective hardware solutions that integrate seamlessly with modern transit platforms. Article content Article content Article content Article content Article content Article content
Geeky Gadgets
30-05-2025
- Business
- Geeky Gadgets
How to Become a Data Engineer: Essential Skills and Strategies for 2025
What if you could future-proof your career by stepping into one of the most in-demand tech roles of the decade? As companies increasingly rely on data to drive decisions, the role of a data engineer has evolved from a behind-the-scenes function to a cornerstone of organizational success. This field demands not just technical expertise but also the ability to navigate a rapidly changing landscape of tools, methodologies, and real-world challenges. Whether you're drawn to the idea of designing scalable data pipelines or solving complex problems with innovative cloud technologies, the path to becoming a data engineer is as rewarding as it is rigorous. But here's the catch: without a clear roadmap, it's easy to lose focus or fall into common traps that could derail your progress. In this walkthrough, Mo Chen breaks down the essential steps to help you thrive in this competitive field. You'll uncover the key skills that set successful data engineers apart, from mastering foundational tools like SQL to building robust data pipelines that stand up to real-world demands. Along the way, you'll learn how to avoid pitfalls like overengineering solutions or neglecting data quality—mistakes that could cost you both time and credibility. This guide doesn't just skim the surface; it prepares you to tackle the challenges of 2025 and onward with confidence and clarity. So, what does it really take to build a career in data engineering? Let's explore the principles, strategies, and insights that can turn your aspirations into reality. Data Engineering Career Guide Common Mistakes to Avoid Starting your journey as a data engineer requires awareness of common mistakes that can hinder your progress. By identifying these missteps early, you can save time and effort while building a solid foundation for your career. Overemphasizing tools instead of principles: While tools like Apache Spark, Hadoop, or cloud platforms are important, a strong grasp of core concepts—such as data modeling, distributed systems, and pipeline architecture—is crucial for long-term success. While tools like Apache Spark, Hadoop, or cloud platforms are important, a strong grasp of core concepts—such as data modeling, distributed systems, and pipeline architecture—is crucial for long-term success. Neglecting data quality and validation: Reliable data pipelines depend on robust validation processes. Ignoring this can lead to inaccurate analyses and flawed decision-making. Reliable data pipelines depend on robust validation processes. Ignoring this can lead to inaccurate analyses and flawed decision-making. Overengineering solutions: Simplicity is key. Overcomplicating architectures often results in inefficiencies, increased maintenance costs, and reduced scalability. Simplicity is key. Overcomplicating architectures often results in inefficiencies, increased maintenance costs, and reduced scalability. Skipping documentation: Comprehensive documentation ensures that your systems are maintainable and scalable. It also minimizes knowledge gaps within teams, making collaboration smoother. Comprehensive documentation ensures that your systems are maintainable and scalable. It also minimizes knowledge gaps within teams, making collaboration smoother. Ignoring error handling and monitoring: Without proper monitoring and error management, you risk prolonged downtime, operational inefficiencies, and difficulty troubleshooting issues. By avoiding these pitfalls, you can streamline your learning process and focus on building effective, scalable systems. Major Challenges in Data Engineering Data engineering is a dynamic and rapidly evolving field. As you progress in your career, you will face challenges that test both your technical expertise and strategic thinking. Understanding these hurdles can help you prepare effectively. Keeping pace with technological advancements: The data engineering landscape evolves quickly, with new tools, frameworks, and methodologies emerging regularly. Staying updated is essential to remain competitive. The data engineering landscape evolves quickly, with new tools, frameworks, and methodologies emerging regularly. Staying updated is essential to remain competitive. Understanding the full data ecosystem: A holistic view of data flow—from ingestion and storage to processing and analysis—is critical for designing efficient and reliable systems. A holistic view of data flow—from ingestion and storage to processing and analysis—is critical for designing efficient and reliable systems. Bridging theory and practice: Applying theoretical knowledge to real-world scenarios, particularly when working with large-scale datasets, can be challenging but is necessary for success. Applying theoretical knowledge to real-world scenarios, particularly when working with large-scale datasets, can be challenging but is necessary for success. Simulating production environments: Building scalable and reliable solutions requires experience with realistic datasets and production-like environments to test and refine your systems. Anticipating these challenges will help you develop the resilience and adaptability needed to excel in this field. How to Become a Data Engineer in 2025 Watch this video on YouTube. Here are more detailed guides and articles that you may find helpful on Data Engineering. Essential Skills for Success To thrive as a data engineer, you must cultivate a diverse skill set that encompasses technical expertise, problem-solving abilities, and practical experience. Below are the core areas to focus on: SQL Mastery SQL remains a fundamental skill for data engineers. Mastering both basic and advanced SQL concepts will enable you to work effectively with relational databases. Key areas to focus on include: Data modeling and schema design Query optimization for performance Transaction management and concurrency control Building portfolio projects, such as designing a relational database or optimizing queries for large datasets, can showcase your SQL expertise to potential employers. Cloud Computing Expertise Cloud platforms like AWS, Google Cloud, and Azure are integral to modern data engineering. Developing proficiency in cloud computing will allow you to design scalable and cost-efficient solutions. Focus on: Understanding core cloud services, including storage, compute, and data warehousing Learning infrastructure-as-code tools like Terraform or CloudFormation Implementing cost optimization strategies to manage cloud expenses effectively These skills will ensure you can build and maintain robust cloud-based data systems. Data Pipeline Development Building and maintaining data pipelines is a core responsibility for data engineers. To excel in this area, you should: Understand ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes Learn Python, a widely used programming language for data engineering Gain experience with batch and streaming data processing Use tools like Apache Airflow for workflow orchestration Implement data quality validation to ensure reliable outputs These capabilities will enable you to create efficient, scalable, and resilient data pipelines. Practical Advice for Aspiring Data Engineers Breaking into the field of data engineering requires more than technical knowledge. Here are some actionable tips to help you stand out in the competitive job market: Focus on mastering a few key tools: Instead of spreading yourself thin, prioritize widely used tools and platforms. For example, gaining expertise in Apache Kafka or Snowflake can significantly enhance your employability. Instead of spreading yourself thin, prioritize widely used tools and platforms. For example, gaining expertise in Apache Kafka or Snowflake can significantly enhance your employability. Build real-world projects: Create projects that address practical problems, such as designing a data pipeline to process streaming data from a public API. These projects demonstrate your ability to apply technical skills in meaningful ways. Create projects that address practical problems, such as designing a data pipeline to process streaming data from a public API. These projects demonstrate your ability to apply technical skills in meaningful ways. Develop strong professional habits: Emphasize documentation, error handling, and monitoring in your workflows. These practices not only improve the quality of your work but also assist collaboration with team members. By following these steps, you can position yourself as a capable and reliable candidate, ready to tackle the challenges of data engineering. Building a Future in Data Engineering Becoming a data engineer in 2025 requires a principle-driven approach to learning and problem-solving. By mastering foundational concepts, staying adaptable to new technologies, and focusing on practical applications, you can establish yourself as a skilled professional in this dynamic field. Avoid common mistakes, proactively address challenges, and develop the essential skills outlined in this guide to build a successful and fulfilling career in data engineering. Media Credit: Mo Chen Filed Under: Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
