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China Autonomous Retail Vehicle Industry Report 2022: OEMs Use their Advantages in Technology and Manufacturing to Explore New Businesses

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Dublin, Sept. 15, 2022 (GLOBE NEWSWIRE) — The “China Autonomous Retail Vehicle Industry Report, 2022” report has been added to ResearchAndMarkets.com’s offering.

Lower Costs Accelerate Mass Production with Ever-spreading Retail Scenarios

Autonomous retail vehicles integrate technologies such as 5G, artificial intelligence, big data, mobile Internet and autonomous driving. They can move with the changes in the surrounding traffic autonomously. Users can hail such vehicles directly through APPs, and then they will arrive at the designated location accurately to provide convenient services.

At present, the digital economy has become the key engine of China’s economic development. According to information from the Ministry of Industry and Information Technology, China has built 1.615 million 5G base stations so far, serving more than 400 million 5G users. China is a global leader in 5G infrastructure, mobile Internet ecology, and e-commerce.

Smartphones have become the preferred terminals of the digital economy, smart cars will become the second-ranking terminals, and autonomous retail vehicles act as not only important terminals connecting e-commerce services and smartphones, but also core intelligent terminals that realize the transition from `people looking for services` to `services looking for people` (or `goods looking for people`).

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Autonomous retail vehicles are widely used in smart scenic spots, AI parks, commercial streets, zones, squares and other places for selling high-demand products such as beverages, breakfast, fast food, fresh products, and even shoes. Mobile new retail lets goods look for people. Users can stop autonomous vending vehicles by scanning QR codes, beckoning, and touching displays, and pay for what they choose by QR code scanning. This mode is time-saving, convenient and easy.

For merchants, presenting products in front of customers in crowded areas (subway entrances, business districts, zones, etc.) during rush hours and lunch break when the demand hits the maximum can significantly increase the transaction volume. The service radius of merchants has been expanded from 1-2 kilometers to 5 kilometers.

The costs of low-speed autonomous delivery vehicles are gradually sinking, promoting mass production of such vehicles for more scenarios

Depending on models, sensor solutions, etc., an autonomous delivery vehicle generally costs RMB200,000 ~ 500,000, let alone other expenses incurred by insurance, vehicle operation and maintenance, on-site safe operation and maintenance, remote monitoring, labor, cloud platform services, etc. China-based Haomo.AI has launched its first autonomous delivery vehicle, the Little Magic Camel, priced at RMB130,000. It is equipped with 3 mechanical LiDAR sensors worth about RMB40,000, radar, cameras and a computing platform. The total cost is nearly RMB100,000. Among the three basic systems of perception, decision-making and actuation, the computing platform plays a key role in the safe operation of autonomous retail vehicles.

With the gradual penetration of autonomous retail vehicles from fixed scenarios to more complex public road scenarios, extremely high requirements are placed on low-latency processing and multi-sensor information fusion of computing platforms. In the field of computing platforms, typical automotive chip enterprises include Horizon Robotics, Huawei, Idriverplus, Haomo.AI, Neolix, WeDrive.Al, Go Further AI, etc. The current mainstream computing platform is the NVIDIA Jetson AGX Xavier platform which is estimated at around RMB10,000 according to the supplier’s price that is expected to further drop in the future.

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In addition, LiDAR whose cost is on a downward trend plays an extremely critical role in the perception system. Most of the current autonomous delivery vehicles use 16-channel LiDAR. Under the stimulation of demand, Chinese LiDAR vendors, such as LeiShen Intelligent System, RoboSense, HESAI, Livox, Huawei, etc., have sprung up, and they can basically meet the demand of autonomous delivery vehicles.

Chassis-by-wire is one of three core components of an autonomous delivery vehicle. In China, main chassis-by-wire players include PIX, Teemo, UISEE, Skywilling, Neolix, and Haomo.AI. For example, PIX Moving offers chassis-by-wire at the price of RMB80,000 ~ 100,000. With the continuous deployment of autonomous delivery vehicles and autonomous retail vehicles in China, large-scale mass production will further drag down the price of chassis-by-wire.

UISEE, which is committed to all-scenario strategy, continues to expand application scenarios of its products. On September 25, 2021, it officially released UiBox (an L4 autonomous driving solution for urban services) and UiBox (an autonomous delivery vehicle) to further promote `commercial application of AI drivers` in all scenarios. UiBox can offer different services at different times to improve operational efficiency.

OEMs use their advantages in technology and manufacturing to explore new businesses

On April 30, 2021, In-driving Tech was invited to participate in the Science Night of Han Street in Wuhan. The interactive area displayed the Sharing-Box, a high-tech autonomous smart car developed by In-driving Tech and Dongfeng Motor.

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Sharing Box is an autonomous intelligent point-to-point transportation platform launched by Dongfeng Motor. It is constructed by integrating TITAN (an autonomous driving domain controller of In-driving Tech) and Athena Software to realize L4 autonomous driving based on HD maps in specific scenarios.

In addition to Dongfeng Motor, Wuling has also explored new businesses with its own technology and manufacturing advantages, and launched `Xiaoling` driverless smart retail vehicle, which has been practically applied.

In Baoding, Haomo.AI, a company backed up by Great Wall Motor, has built the world’s first flexible manufacturing base for L4 low-speed autonomous vehicles. It produces a variety of models (including autonomous retail vehicles). After the latest upgrade, the design capacity of the production line can reach 10,000 vehicles per year.

Key Topics Covered:

1 Overview of Autonomous Retail Vehicles
1.1 Mobile Retail Is a Form of Autonomous Delivery
1.1.1 Hardware Indicators of 12 Typical Autonomous Delivery Vehicles
1.1.2 Cost Downtrend of Autonomous Delivery Vehicles
1.2 Introduction to Autonomous Retail Vehicles
1.3 Business Models of Autonomous Retail Vehicles
1.4 Three Core Components of Autonomous Retail Vehicles: LiDAR
1.4 Three Core Components of Autonomous Retail Vehicles: Computing Platform
1.4 Three Core Components of Autonomous Retail Vehicles: Chassis-by-Wire
1.5 Growth Background of Autonomous Retail Vehicles (1): Vigorous Growth of Social Logistics
1.5 Growth Background of Unmanned Retail Vehicles (2): Blowout of Express Delivery Business
1.5 Growth Background of Unmanned Retail Vehicles (3): Enormous Number of Mobile Payment Netizens
1.5 Growth Background of Unmanned Retail Vehicles (IV): Gradual Maturity of Autonomous Delivery Industry Chain

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2 Autonomous Delivery Policies
2.1 Some Chinese Policies for Autonomous Delivery
2.2 Overseas Policies for Autonomous Delivery
2.3 Low-speed Autonomous Vehicle Safety Management and Accident Insurance

3 Autonomous Retail Vehicle Companies in China
3.1 WeDrive.Al
3.2 Go Further AI
3.3 Yours
3.4 Neolix
3.5 Unity Drive
3.6 Go Further AI
3.7 UISEE
3.8 CYBER-AI
3.9 Hangzhou Skywilling
3.10 Hunan Apollo Intelligent Transportation
3.11 In-driving Tech
3.12 Jushi Technology
3.13 Elife
3.14 Wuling
3.15 White Rhino

4 Major Providers of Basic Chassis for Autonomous Retail Vehicles in China
4.1 Ecar Tech
4.2 Teemo
4.3 PIX Moving
4.4 Haomo.AI
4.5 MOVE-X

For more information about this report visit https://www.researchandmarkets.com/r/v72dc9


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Vehere’s AI Network Security at GITEX Global 2024: A Catalyst for Middle East’s Digital Transformation

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DUBAI, UAE, Oct. 7, 2024 /PRNewswire/ — Vehere is set to participate in GITEX Global 2024, the largest and best-rated technology event in the world, from October 14–18, 2024, in Dubai. As a global cybersecurity company aiming to conquer new heights, Vehere will showcase its AI Network Security technology, which acts as a “Second Line of Defense” to protect corporate networks from the most advanced cyberthreats.

Vehere AI Network Security is a unified solution of Network Detection & Response (NDR) and Network Forensics (NF). Vehere NDR detects abnormal system behaviors by leveraging behavioral analytics/AI-ML. It detects and contains post-breach activity such as ransomware, APTs, insider threats, or lateral movements. Vehere NF supports security incident response and investigation of the source of an incident, analyses and reconstructs attack timelines, and provides evidence for legal proceedings.
Vehere AI Network Security stands out as the top choice for enterprise security due to its key differentiators:
Monitoring both East-West & North-South trafficsLossless Packet CaptureBehaviour-based Application DetectionUltraHunt 2 million IOCsRetrospective Breach DetectionFlexible DeploymentAvinash Garg, Vice President – Sales MEA of Vehere, said, “GITEX Global is an event of monumental magnitude where attendees will gain an understanding of Vehere AI Network Security, a technology built for empowering organizations to safeguard their critical assets and maintain business continuity by proactively identifying and neutralizing threats.
Also, the Middle East region is undergoing a significant digital transformation, and Vehere is committed to supporting organizations in this process. As businesses in the Middle East accelerate their digitalization efforts, our technology provides a path to modernization that promotes economic growth, operational efficiency, and security.”
In line with its participation, Vehere will offer live demonstrations, insights into product offerings, and the opportunity to interact with its experts to explore customized solutions.
Catch Vehere at GITEX Global, India Pavilion: H23-C17D, World Trade Center, Dubai. Register with us and get free passes to visit the biggest tech show in the world.
About Vehere:
Vehere is a revolutionary cybersecurity software company specializing in AI Cyber Network Intelligence. For more than a decade, Vehere has been supporting counter-terrorism analysts in Defense and Intelligence communities. Vehere is now trusted by cyber-analysts in Fortune 500 companies, including Telecom, Financial Institutions, and Smart Cities to protect their critical infrastructure against real-time cyberattacks.
Vehere. HUNT BEFORE BREACH™
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Zinnov estimates Digital and Engineering R&D Spends will surge 1.4X to touch USD 3 Trillion by 2027

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NEW YORK, Oct. 7, 2024 /PRNewswire/ — Global Management Consulting firm, Zinnov, released its industry-leading study on Enterprise Digital Engineering spends today. Zinnov shared that Digital Engineering spends remain strong, even in a potential recessionary period, having now stabilized at USD 1,032 Bn, at a 13% CAGR. Despite macro-economic headwinds such as inflation, geopolitical tensions, recession, and supply chain disruptions, investments in Digital Engineering are on an upswing, spurred by CXOs prioritizing operational efficiency, cost reduction, and the adoption of advanced technologies including AI, analytics platforms, automation tools, and IOT devices.  

Zinnov’s analysis reveals that Enterprise Digital Engineering spends will reach USD 1,654 Bn by 2027, owing to the unrelenting pace of technological innovation. The study, Digital Engineering report 2023, is a benchmark for business leaders across verticals that helps them identify strong partners for rapid and efficient deployment of Digital Engineering-led services initiatives across geographies.
ER&D investments in Europe showed resilience and grew by 9.5% in 2023, the highest since 2020. This increased ER&D spend is primarily driven by sectors such as Aerospace & Defense, Pharmaceuticals, and Industrial. Meanwhile, North America’s ER&D spend slowed due to inflation control measures, geopolitical pressures, and shifting demand patterns, despite traditionally being a leader. This has impacted industry investments, large deals, and talent sourcing. Interestingly, APAC’s ER&D spends exceeded expectations with a ~3% growth rate in late 2023, with China contributing over 10% of the global ER&D spend. Much of this spend from APAC is being channeled towards AI/ML, Robotics, Additive Manufacturing, Automation Tools, 5G, and Smart Manufacturing.
Hi-tech-led verticals continue to be the biggest contributors to the overall Digital Engineering spend at 55%, followed by Services-led verticals and Manufacturing-led verticals. The Software & Internet vertical continues to account for the lion’s share of the overall Digital Engineering spend at USD 424 Bn, fueled by a massive 425% increase in AI investments since 2020. Co-investments, partnerships, and co-innovation are the primary business models that Tech Giants and Hyperscalers are leveraging to optimize their AI investments.
Digital Priorities of Enterprises
Even though the enterprises’ digital priorities are evolving, a few key themes are emerging. Zinnov analyzed the top 2000 enterprise ER&D spenders and identified the following themes that they are channeling investments towards.  
Generative AI: Generative AI is upending industries and economies at breakneck speed by enhancing customer experience, optimizing business operations, improving productivity, and providing personalization. Its applications have expanded beyond content generation, enabling enterprises to automate workflows, enhance efficiencies, and accelerate data-driven decision-making. Automotive and Industrial verticals are early adopters of Generative AI-led efficiencies, while adoption in Healthcare, BFSI, Media & Tech verticals is slow due to stringent regulations. Interestingly, enterprises across verticals are leveraging Generative AI to save costs, that they are reinvesting in core and/or transformational initiatives including infrastructure development, offerings enhancement, customer support, model (LLM/SLM) development and integration, and Generative QA.
Cybersecurity: Cybersecurity remains a top priority across verticals. Financial institutions are investing heavily in AI-powered threat detection and Zero Trust frameworks to combat increasingly sophisticated cyberattacks. In Healthcare, Cybersecurity is vital for protecting sensitive patient data amid rising threats to digital health records and IOT-connected medical devices. Critical infrastructure, including energy and telecommunications, relies on robust Cybersecurity to prevent disruptions and ensure operational continuity. As cyber threats evolve, companies across verticals will continue to strengthen their defenses, integrating advanced solutions to safeguard their systems and data.
Cloud: Hyperscalers continue to dominate the global Cloud landscape, with the demand for Cloud Computing surging across verticals. This rapid growth in the market is driven by the need for scalable, secure, and cost-efficient infrastructure to support AI, Machine Learning, and Data Analytics initiatives. Hyperscalers such as AWS, Azure, and Google Cloud are increasingly playing a pivotal role, not only in providing core Cloud infrastructure, but also in offering advanced Cloud-native services that cater to vertical-specific challenges. Enterprises are leveraging hyperscalers to drive digital transformation initiatives by adopting hybrid and multi-Cloud strategies to optimize performance, ensure scalability, and accelerate innovation. As more industries transition to the Cloud, hyperscalers will remain critical drivers of enterprise modernization and growth.
Sustainability: Sustainability is driving significant investments from enterprises in 2024. Organizations are focusing on green technologies, renewable energy, and eco-friendly business practices to reduce their carbon footprints. In fact, between 2018 and 2023, the proportion of green talent increased by an average of 5.4% annually, while the proportion of job postings that required at least one green skill rose by 9.2% per year. From adopting energy-efficient data centers to integrating circular economy models, sustainability initiatives are increasingly shaping corporate strategies. Enterprises are not only aiming to meet regulatory requirements but also enhancing brand reputation to align with consumer demands for environmentally responsible practices.
Speaking about the study, Sidhant Rastogi, President – Strategy Business at Zinnov, stated, “In today’s hyper-digital world, technology is not just an enabler but has transformed the very fabric of modern life, reshaping every interaction, experience, and expectation. It has redefined the baseline of what good customer experience is. As the global landscape faces unprecedented challenges, the need for businesses to anticipate and innovate ahead of customer needs has never been more critical – all underpinned by technology.”
Rastogi further added, “Digital Engineering is at the forefront of this transformation, with global spends projected to surge to USD 1.65 Trillion in the next 3 years, driven by rapid advancements in AI, Cloud, IOT, and Cybersecurity. This growth is not just a trend; it’s an essential evolution fueled by interconnected ecosystems that bring together diverse expertise from across verticals – Automotive, Aerospace, Healthcare, and Semiconductor. This convergence is unlocking new frontiers in engineering, empowering businesses to not only navigate disruption but to turn it into opportunity.”
Zinnov’s Assessment of ER&D Service Providers
As part of the Digital Engineering study, Zinnov evaluated ~60 Global ER&D Service Providers for its annual Zinnov Zones ER&D and Digital Engineering ratings. The ratings encompass a comprehensive analysis of Service Providers’ capabilities across six horizontals, seven verticals, and three micro-verticals. It also includes a geographic evaluation of high-spending regions like the US and Europe, focusing on key factors such as investments, client success, and delivery capabilities in Engineering services.
Zinnov evaluated the Global ER&D Service Providers across the following areas:
Overall
Overall ER&D ZonesER&D Zones – Small and Medium Service ProvidersHorizontals
Digital EngineeringDigital Engineering – Small and Medium Service ProvidersData & AI EngineeringData & AI Engineering – Small and Medium Service ProvidersExperience EngineeringExperience Engineering – Small and Medium Service ProvidersIndustry 4.0Generative AIOverall Hyperscaler ServicesHyperscaler Services (AWS) – Top 10 SPsHyperscaler Services (Microsoft Azure) – Top 10 SPsHyperscaler Services (Google Cloud) – Top 10 SPsVerticals: Automotive, Aerospace, Consumer Software, Enterprise Software, Industrial, Semiconductor, Telecommunications
Micro-verticals: Software Platform Engineering, Medical Devices, and Electrification
Service Providers evaluated: Accenture, ACL Digital, Accion Labs, Akkodis, Alten, Apexon, Ascendion, AVL, Bertrandt, Birlasoft, Bristlecone, Capgemini Engineering, Caresoft Global, Cigniti, Cognizant, Cyient, Daffodil Software, EDAG, eInfochips, Encora, Expleo Group, FEV, Global Logic, Gopherslab, GS Lab|GAVS, Happiest Minds, HARMAN DTS, HCLTech, Hitachi Digital Services, IAV, Ignitarium, Indium, Infovision, Itransition, KPIT, LTTS, Marlabs, Mphasis, Ness Digital Engineering, Onward Group, Persistent Systems, Sasken, Softdel, Tata Elxsi, Tata Technologies, TCS, Tech Mahindra, TO THE NEW, Trigent, UST Global, VVDN Technologies, Wipro, Xoriant
*Z2000 represents Top 2000 global ER&D spenders across 20+ verticals.
About Zinnov Zones
Zinnov Zones is an annual rating published by Zinnov which assesses Global Service Providers based on their competencies, capabilities, and market success. Since 2009, Zinnov Zones (previously known as GSPR – Global Service Provider Ratings) has become one of the most trusted reports globally, for both enterprises and Service Providers to better understand the vendor ecosystem across multiple domains such as Digital Transformation, ER&D Services, IOT, Intelligent Automation, and Media & Entertainment.
This is the fifteenth consecutive year that Zinnov has assessed Service Providers for their ER&D capabilities. The detailed ratings and contact information of Service Providers are available at: https://zinnovzones.com/ratings/e-r-and-d-and-digital-engineering-services/overall/2024
About Zinnov
Founded in 2002, Zinnov is a global management and strategy consulting firm, with presence in New York, Santa Clara, Houston, Seattle, Bangalore, Gurgaon, Pune, Hyderabad, and Paris. Over the past 22 years, Zinnov has successfully consulted with over 250+ Fortune 500 enterprises to develop actionable insights to help them accelerate their technology journeys to create value – across dimensions of revenue, transformation, and optimization. With core expertise in Digital Engineering Talent, Digital Transformation, Innovation, and Outsourcing Advisory, Zinnov assists clients by:
Enabling global companies to develop and optimize a global engineering talent footprint through center setups and accelerators – in an as-a-service model, as well as optimizing their global portfolios, to achieve higher R&D efficiencies, innovation, and productivity;Advising global PE firms in asset shortlisting and target evaluation, commercial due diligence, and value creation;Growing revenue for companies’ products and services in newer markets through account intelligence, market entry, and market expansion advisory;Helping global companies outline and drive their open innovation programs, design and operate accelerator programs, and enable collaboration with start-ups across specific use cases and predefined outcomes;Structuring and implementing Digital Transformation levers enabled by technologies like AI/ML, Intelligent Automation, Cloud, IOT, etc.With their team of experienced consultants, subject matter experts, and research professionals, Zinnov serves clients from across multiple industry verticals including Enterprise Software, BFSI, Healthcare, Automotive, Retail, and Telecom in the US, Europe, Japan, and India. For more information, visit http://www.zinnov.com.
Media contact Nitika GoelChief Marketing Officer, [email protected]
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IFS strengthens Executive Board with CIO and CHRO appointments

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Helena Nimmo appointed CIO and Debra McCowan appointed CHRO to fuel IFS’s next phase of growth in pioneering and dominating Industrial AI
LONDON, Oct. 7, 2024 /PRNewswire/ — IFS, the leading provider of enterprise cloud and Industrial AI software, has made two senior appointments to its Executive Board. Helena Nimmo joins as global Chief Information Officer (CIO) and Debra McCowan as Chief Human Resources Officer (CHRO).

Nimmo joins from Endava, a US-listed global technology company with over 12,000 employees. As CIO at IFS, Nimmo will engage CIOs and tech leaders at IFS customers to help them with their strategic transformation journeys, as well as driving the effective application of technology within IFS to deliver better products and services to customers. With IFS leading the adoption of Industrial AI across the world, Nimmo will drive the integration of AI across the IFS community, enabling IFS customers to deliver exceptional moments of service to their clients.
McCowan was CHRO at NetApp, Inc., a Fortune 500 global data infrastructure, AI and cloud services company. In this board level role, McCowan was a strategic partner and advisor to the CEO and executive leadership team. As IFS rapidly grows beyond 7,000 employees in over 90 countries, McCowan will build on the HR transformation strategy IFS has already embarked on, to lead a high-performing global team, delivering progressive HR strategies and initiatives to rapidly grow and scale IFS’s footprint.
“I’m delighted that Helena and Debra are joining IFS at such a pivotal point in its growth journey,” said Mark Moffat IFS CEO. “Helena’s leadership has been instrumental in orchestrating company-wide transformations, developing core technology infrastructures, and implementing robust security measures. Debra is a transformational Human Resources executive with years of global leadership experience in the technology sector, making her an excellent fit for this role. I look forward to the new perspectives and ideas they will both bring to IFS and support our global mission to lead the Industrial AI revolution.”
Nimmo started her career at Nokia in Finland and has since held leadership positions in both customer-facing and internal technology functions at organizations including Symbian, Fujitsu and Thomson Reuters.
“I’m delighted to be joining IFS, the world leader in cloud enterprise software and Industrial AI,” said Nimmo, IFS’s CIO. “I am excited to add my expertise to drive digital innovation and deliver exceptional value to our customers. I have a passion for technology and a commitment to excellence and am eager to contribute to IFS’s continued growth and success.”
Prior to NetApp, McCowan was the CHRO at Equinix the world’s leading global data center and interconnection provider. She has held global executive leadership roles at Avago Technologies (now Broadcom Inc.), Hitachi Data Systems (now Hitachi Vantara), and Telstra Corporation.
“Joining IFS at a time of significant growth globally is a tremendous opportunity,” said Debra McGowan, IFS CHRO. “My mission is to continue to build a conducive environment for diverse, strategically aligned high performing teams to connect and thrive in a fast-paced business and in a dynamic workplace. I look forward to this exciting challenge.”
About IFS
IFS is the world’s leading provider of Industrial AI and enterprise software for hardcore businesses that make, service, and power our planet. Our technology enables businesses which manufacture goods, maintain complex assets, and manage service-focused operations to unlock the transformative power of Industrial AI™ to enhance productivity, efficiency, and sustainability.
IFS Cloud is a fully composable AI-powered platform, designed for ultimate flexibility and adaptability to our customers’ specific requirements and business evolution. It spans the needs of Enterprise Resource Planning (ERP), Enterprise Asset Management (EAM), Supply Chain Management (SCM), Information Technology Service Management (ITSM), and Field Service Management (FSM). IFS technology leverages AI, machine learning, real-time data and analytics to empower our customers to make informed strategic decisions and excel at their Moment of Service™.
IFS was founded in 1983 by five university friends who pitched a tent outside our first customer’s site to ensure they would be available 24/7 and the needs of the customer would come first. Since then, IFS has grown into a global leader with over 7,000 employees in 90+ countries. Driven by those foundational values of agility, customer-centricity, and trust, IFS is recognized worldwide for delivering value and supporting strategic transformations. We are the most recommended supplier in our sector. Visit ifs.com to learn why.
Contact information:EUROPE / MEA / APJ:Adam GillbeEmail: [email protected] 
NORTH AMERICA / LATAM:Mairi MorganEmail: [email protected] 
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