Artificial Intelligence
OEMs’ Digital Transformation Strategy Research Report, 2020-2021
New York, March 01, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “OEMs’ Digital Transformation Strategy Research Report, 2020-2021” – https://www.reportlinker.com/p06028705/?utm_source=GNW
) in R&D, production, marketing and services to promote the transformation of business models, organizational structures, etc., so that concepts like intelligent manufacturing are derived.
Digital transformation in the automotive industry includes R&D and production digitalization, marketing service digitalization, product digitalization, and management digitalization.
In essence, digitization actually maps and orderly manages the real world (such as cars, roads, car owners, etc.) in the virtual world. The real world is transformed into various information systems through data collection from automobile production, R&D, marketing, services and management. Via the integration of information and data, big data and artificial intelligence technology which optimizes the processing of the virtual world, the process and management of the real world are optimized as well.
During the “Industry 3.0” era (automation and information age, approximately from 1980 to 2010), production information systems, R&D information systems, sales information systems, user and service information systems, etc. were formed, but these information systems were basically isolated then. Due to the low frequency of information collection, a lot of information still lagged.
With the substantial improvement in chip computing power and storage capacity, the automotive industry has entered the era of Industry 4.0 (intelligence) which will connect information systems in all business links. At the same time, the frequency and precision of information collection will be greatly improved, and some fields may even see digital twin (that is, the virtual world by digital mapping is highly consistent with the real world).
Tesla achieves the highest degree of intelligence among all automakers, and has basically connected the information systems and data of all business links. Tesla not only conducts self-research on electrification, connectivity and intelligence of cars, but also tries its best to develop software systems in the entire life cycle of cars.
Software-driven is the source of Tesla’s subversion of the entire automotive industry. Its self-developed software system named Warp supports its direct sales business in the United States and adapts to growth in China and other markets around the world. Warp is a combination of e-commerce and back-end management software and completely customized to support Tesla’s counter-approach to selling and servicing cars. The automaker uses its Warp-powered e-commerce website and its own showrooms, not dealerships, to sell cars. Warp also handles all the back office functions for Tesla such as order processing, supply chain management, manufacturing workflow management, financial accounting and lead management.
China’s emerging automaker NIO adopts a sales model similar to Tesla’s. No matter online or offline, NIO prefers self-operation and self-establishment. It basically relies on online channels to sell products, while displays the brand and offers user experience services offline. NIO’s experiential digital marketing is widely praised. In terms of experience marketing, NIO starts from eight aspects: content experience, social experience, lifestyle experience, car purchase experience, driving experience, service experience, energy supplement experience, and battery swap experience.
Take the social experience as an example: users can set up groups in the NIO App. In other words, once a user becomes a car owner, a dedicated car owner service group of 13 people will be formed. In the service group, there are sales partners, service specialists, power-on specialists, as well as various technical specialists and city general managers. When users have any problems in the process of using cars, they can inquire in the group, and someone will respond to and solve problems immediately.
The traditional automakers BMW and Mercedes-Benz have developed APPs which pay attention to functions and require registration. They only provide services for existing car owners, so they are unattractive to potential car owners. The limited traffic cannot support sales volume conversion.
As the emerging automakers represented by Tesla have been digitally operated from the beginning, they are sought after by consumers and recognized by the market. The emergence of new forces has posed tremendous pressure on traditional automakers who thus have formulated digital strategies one after another to boost digital transformation.
At present, automakers mainly deploy digital transformation in five aspects:
First, they establish software companies or R&D divisions as well as build software teams through self-construction or cooperation.
Second, automakers set up digital centers internally to coordinate the digital transformation of the entire groups and promote the implementation of overall digital strategy.
Third, automakers can reduce costs and improve competitiveness by allying with other automakers.
Fourth, automakers prompt digital transformation through cooperation with technology companies (such as Baidu, Alibaba, Tencent, Huawei, etc.).
Fifth, automakers create an online & offline user-centric digital marketing model.
GM’s 4S stores have evolved into a “7S modular dealer service system” consisting of New Car Sale, After-Sales Services, Spare Parts, Information Survey, Pre-owned Car Services, Sharing and Financial Support.
Xpeng’s “2S+2S” marketing model disassembles “4S” into two parts: online (marketing and parts available on Tmall) and offline (after-sales services and information feedback). Through the dual-channel linkage of “the Tmall flagship store + offline stores”, Xpeng connects both online and offline fields, which not only greatly reduces costs, but also brings consumers with new experience.
This report analyzes 21 OEMs’ strategies and specific measures for transformation. Conventional automakers like Toyota and Changan Automobile have made successes in digital transformation as well, in addition to emerging carmakers.
Toyota Digital Transformation focuses on five aspects: first, adjusting organizational structure, with high priority on restructuring of TRI-AD, Toyota’s advanced software company and segmenting its business into “R&D of Automated Driving Technologies”, “Incubation of Innovative Projects” and “Investment in Emerging Areas”; second, launching the Mobility Services Platform (MSPF) for an upgrade to the next-generation mobility services; third, building a cloud service platform for better business and operation models; fourth, creating Toyota New Global Architecture (TNGA) to reform R&D and production links; fifth, developing digital products, with deployments in autonomous driving, HD map, chip, HMI, etc.
Changan Automobile takes software as its corporate strategy, setting up a software center to enhance its digital transformation. For R&D and production, the automaker builds a R&D cloud platform for advancing construction of smart cities; for marketing, it creates an integrated marketing cloud platform and self-establishes an ecommerce platform; for product digitization, it makes deployments in areas from cloud platform and intelligence to telematics by way of independent construction and cooperation.
Despite great efforts on digital transformation, quite a few automakers still face some challenges, such as:
Underpowered transformation, disputed transformation model, and some departments’ reluctance to transform;
Poor ability to attract customers online in digital marketing, and lower-than-expected return on offline high investment;
Under-investment in digital transformation, which blames for conventional businesses;
Lack of software teams and user operation experience.
Read the full report: https://www.reportlinker.com/p06028705/?utm_source=GNW
About Reportlinker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.
__________________________
Clare: [email protected] US: (339)-368-6001 Intl: +1 339-368-6001
Artificial Intelligence
VIVOTEK Launches Successful Make Tomorrow Easier, Today! Vision During ISC West 2024
TAIPEI, April 18, 2024 /PRNewswire/ — VIVOTEK (3454-TW), the global leading IP security solution provider, announces that last week’s 2024 ISC West trade show in Las Vegas was a tremendous success as it unveiled the 2024 theme Make Tomorrow Easier, Today! to partners, attendees, and the media. Make Analytics Easier, Make Cloud Easier, Make Search Easier, and Make Integration Easier were the core essential components of the 2024 theme, and both the booth staff and visitors were very busy discussing its vision throughout the show. This also demonstrates that VIVOTEK’s AI security solutions and cloud-based service VORTEX attracted interests by many customers for their rich versatility in applications.
From the outset, it was clear that this year’s ISC West was going to surpass previous editions. There were more engagements, and these engagements lasted longer than the past as attendees and the media were hyper-focused on VORTEX, its new camera solutions, AI integration, re-launch of VIVOTEK Premium Partner Program, additional technology solutions, and the roll-out of the 2024 theme.
AI has quickly become a priority in the security industry, and it was a focal point of VIVOTEK’s strategy during the show as well. During its many sales and marketing meetings at ISC West, discussions primarily revolved around how to integrate AI into the product lines and software platforms, much to the gratification of its partners who are seeing a quickly growing need for this technology to satisfy their customers’ needs.
As many of its customers may know by now, VIVOTEK recently entered into an integration partnership with Kisi, a modern cloud-based access control solution based in Brooklyn, New York. This partnership aims to secure physical spaces dedicated to providing a seamless and efficient user experience, making Kisi ideally suited as a VIVOTEK partner. During ISC West, VIVOTEK provided Kisi with a station in the booth to perform demonstrations, which proved to be very popular during the show.
Throughout the event, VORTEX remained a central focal point and rapidly gained popularity among partners since its launch. This was evident throughout the show as the VORTEX station was continuously used for strategic demonstrations. As for the theme, attendees commended on how much they liked this year’s booth layout, how the message of “Making Tomorrow Easier, Today” was delivered in every stations, how accessible the staff was in meeting with them, and how much they enjoyed the partner reception party.
VIVOTEK’s commitment to innovation and customer-centric solutions shone brightly at ISC West, as evident in the overwhelmingly positive feedbacks it received from partners, end users, media, and even other exhibit manufacturers. VIVOTEK extends heartfelt thanks to everyone who contributed to making this year’s ISC West a tremendous success. We look forward to making next year’s ISC West even better!
Photo – https://mma.prnewswire.com/media/2390930/1.jpg
View original content:https://www.prnewswire.co.uk/news-releases/vivotek-launches-successful-make-tomorrow-easier-today-vision-during-isc-west-2024-302121042.html
Artificial Intelligence
aiOla’s Speech AI Technology Outperforms OpenAI’s Whisper in Recognizing Jargon
aiOla’s model automates the creation of customized processes and workflows for conducting reports and inspections across industries such as manufacturing, supply chain and logistics, pharma, and more
TEL AVIV, Israel, April 18, 2024 /PRNewswire/ — aiOla, an AI-powered technology that automates business workflows by capturing spoken data, has announced a major milestone in speech recognition. aiOla’s solution, powered by a novel keyword spotting model, has advanced to match human proficiency in understanding industry-specific jargon. The patented AdaKWS model achieved 95% accuracy in keyword spotting, surpassing OpenAI’s industry-leading Whisper model which reached 88% accuracy.
Keyword spotting is an essential aspect of speech recognition that tackles the problem of identifying jargon by detecting predefined words and phrases. “Think about a courier delivery where your package arrives damaged. The courier needs to file a report using specific codes and acronyms that describe the situation — those codes and acronyms are keywords. Industry jargon is everywhere and in many fields, it dominates communication, comprising up to half of workers’ speech,” said aiOla’s CEO and co-founder, Amir Haramaty. “The ability to spot keywords enables automation of everyday processes across a wide range of industries, from filing a parcel damage report to completing a safety inspection in a food manufacturing plant, transforming speech into actions.”
aiOla’s process automation applications can accurately understand speech, jargon and acronyms across over 100 languages, regardless of accents and background noises. aiOla achieves this by combining its state-of-the-art keyword spotting model with a speech recognition model. The onboarding process takes mere hours: clients provide examples of their checklists or forms, and aiOla automatically generates custom language models for the use case. Workers are then able to complete their operations verbally using the aiOla app while keeping their eyes and hands on the equipment. aiOla’s exceptional ability to spot rare industry terms with high accuracy allows the platform to easily distinguish between speech related to work processes and everyday conversation.
The app leverages a proprietary model that was developed by aiOla’s team of scientists to recognize a predefined list of keywords within speech. This enables aiOla’s solution to be instantly adapted to the jargon of any industry without needing to retrain its AI model. On a benchmark of keyword and jargon detection that includes 16 languages, Whisper’s largest model yields 88% accuracy compared to aiOla’s model achieving 95% accuracy. Additionally, in a recent benchmark which is composed of hard-to-detect keywords taken from English language audiobooks, the CED model from a team of Apple researchers yields 92.7% whereas aiOla’s AdaKWS reaches 95.1% accuracy.
“Keyword spotting poses significant challenges due to the scarcity of training data, especially across diverse languages and dialects. It typically requires industry-specific fine-tuning to enable models to recognize jargon not commonly found in everyday speech,” said aiOla’s Chief Scientist, Professor Joseph Keshet. “Our model consistently surpassed the OpenAI Whisper baselines by a significant margin, achieving a substantial improvement compared to the top-performing baseline. Furthermore, our model is far more efficient, using 15x fewer parameters.”
To learn more about aiOla’s technology visit: https://aiola.com
Explore aiOla’s keyword spotting research: https://arxiv.org/pdf/2309.08561.pdf
About aiOla:
aiOla’s patented technology comprehends over 100 languages, and discerns jargon, abbreviations and acronyms, demonstrating a low error rate even in noisy environments. aiOla’s technology converts manual processes in critical industries into data-driven, paperless, AI-powered workflows through cutting-edge speech recognition.
View original content:https://www.prnewswire.co.uk/news-releases/aiolas-speech-ai-technology-outperforms-openais-whisper-in-recognizing-jargon-302121082.html
Artificial Intelligence
AMN utilises SpaceX’s Starlink Constellation to Connect Rural Villages in Nigeria
LONDON, April 18, 2024 /PRNewswire/ — AMN is pleased to announce that the first AMN base station is now live using LEO backhaul from SpaceX’s Starlink. In 2023, AMN announced a commercial agreement to use Starlink, SpaceX’s constellation of satellites in low Earth orbit, to connect AMN’s mobile network base stations with high-speed, low-latency broadband services.
By utilising Starlink terminals to provide low-latency satellite backhaul, we are able to deliver the full capability of AMN’s unique multi-carrier radio access node (the ARN) with 3G and 4G as well as 2G, with ever-increasing amounts of bandwidth and data volumes demanded by subscribers whilst remaining economically sustainable. The LEO backhaul also paves the way for AMN to deliver 5G services, targeted before the end of 2024.
AMN began rolling out rural base stations in Nigeria in 2018, and the company now owns and operates 1600 base stations across the country. Yebu was the first rural community to be connected using AMN’s ubiquitous solar powered base station. The village is located approximately 80km from Abuja, but can take four hours to reach due to road conditions. Yebu is predominantly an agricultural community, with a market offering local farmers the opportunity to sell their goods.
Since connecting the community in November 2018, AMN has processed more than 9 million voice minutes in Yebu, with significant growth in 2022 and 2023 following the BTS upgrade to AMN’s own radio node (ARN). AMN became an OEM for RAN equipment in 2020 following the acquisition of Range Networks, and now operates more than 1200 ARN across Africa and Latin America. The impact of this strategic move is clear in Yebu. In 2023, the site processed almost three times the amount of traffic than it did in 2020.
“Yebu community was left behind and blind but the coming of Africa Mobile Networks in 2018 has made us to achieve a lot of things like police division station, 24 hours solar light and steady communication all over the world. Before then there was nothing like those things listed.” – Salihu, on behalf of the Yebu community
AMN believes that all communities of any significant size should have access to telecommunication services to benefit the population educationally, economically and socially. AMN has deployed over 4000 base stations across Africa and Latin America. Installation of new sites continues throughout 2024 in Nigeria, DRC, Cameroon, Madagascar, Ivory Coast, Benin and Rwanda. At AMN, we appreciate that any solution to close the digital divide must be economically sustainable and offer a service of the same quality as in urban areas. From designing and manufacturing our own BTS, uniquely developed for the solar-powered rural site, to offering cutting-edge backhaul solutions, we are committed to bringing high quality connectivity to those living in rural and ultra-rural areas.
CONTACT: Jennifer Darcy, [email protected], +44 1908 394482
View original content:https://www.prnewswire.co.uk/news-releases/amn-utilises-spacexs-starlink-constellation-to-connect-rural-villages-in-nigeria-302121059.html
-
Artificial Intelligence6 days ago
In-Depth Analysis of Germany and France Data Center Markets: Germany Poised to Contribute Over $12.24 Billion Opportunities in the Next 6 Years – Arizton
-
Uncategorized6 days ago
Arm CEO Rene Haas will be delivering a Partner’s Event Speech at COMPUTEX 2024
-
Uncategorized6 days ago
BJEI: A New Record of High Performance in 2023 and a New Pattern of Diversified and Coordinated Development
-
Uncategorized6 days ago
Integrity Food Marketing Joins Forces with CA Ferolie to Expand East Coast Reach from Maine to Florida
-
Uncategorized6 days ago
Dimethyl Carbonate Market worth $1.9 billion by 2028 – Exclusive Report by MarketsandMarkets™
-
Artificial Intelligence6 days ago
CogX Festival Set to Debut in Los Angeles at Century Plaza on May 7th, 2024
-
Artificial Intelligence6 days ago
aelf Leads the Fusion of AI and Blockchain to Shape the Future of Technology
-
Artificial Intelligence6 days ago
Xinhua Silk Road: Zoomlion Access pursues high-quality development with aerial work machinery sector innovation