Connect with us
European Gaming Congress 2024

Artificial Intelligence

Infosys: Stellar all round performance with 3.6% sequential revenue growth in cc, 1% operating margin expansion

Published

on

infosys:-stellar-all-round-performance-with-3.6%-sequential-revenue-growth-in-cc,-1%-operating-margin-expansion

Revenue guidance at 3%-4% and operating margin guidance at 20%-22%
Highest Free Cash Flow at $1.1 billion; Record number of large deals at 34 with $4.1 billion TCV
BENGALURU, India, July 18, 2024 /PRNewswire/ — Infosys (NSE: INFY) (BSE: INFY) (NYSE: INFY), a global leader in next-generation digital services and consulting, delivered $4,714 million in Q1 revenues with a sequential growth of 3.6% and year on year growth of 2.5% in constant currency. Operating margin was at 21.1%, a sequential expansion of 1%. Free cash flow was highest ever at $1,094 million, an increase of 56.5% year over year. Number of large deal wins were highest ever at 34 with TCV of $4.1 billion, 57.6% being net new.

“We had an excellent start to FY25 with strong and broad-based growth, operating margin expansion, robust large deals, and highest ever cash generation. This is a testimony to our differentiated service offerings, enormous client trust, and relentless execution”, said Salil Parekh, CEO and MD. “With our focused approach for generative AI for enterprises working with their data sets on a cloud foundation, we have strong traction with our clients. This is building on our Topaz and Cobalt capabilities” he added.
3.6% QoQ2.5% YoY CC Growth
21.1% Operating Margin
7.0% YoYEPS Increase (₹ terms)
$4.1 Bn Large DealTCV
$1.1 Bn Free Cash Flow
Guidance for FY25:
Revenue growth of 3%-4% in constant currencyOperating margin of 20%-22%1.  Key highlights:
For the quarter ended June 30, 2024
Revenues in CC terms grew by 2.5% YoY and by 3.6% QoQReported revenues at $4,714 million, growth of 2.1% YoYOperating margin at 21.1%, growth of 0.3% YoY and 1.0% QoQBasic EPS at $0.18, increase of 5.4% YoYFCF at $1,094 million, growth of 56.5% YoY;FCF conversion at 143.2% of net profit”Our relentless drive on cost optimization through Project Maximus, a comprehensive margin expansion program, is reflected in the all-round improvement in key operating metrices leading to 1.0% growth in operating margin in Q1″, said Jayesh Sanghrajka, CFO. “We had the highest ever FCF generation at $1.1 bn and ROE increased to 33.6% due to higher payouts to investors”, he added.
2.  Update on in-tech acquisition
Infosys has completed the acquisition of in-tech, a leading Engineering R&D services provider focused on German automotive industry. This follows the announcement the company made on April 18, 2024.
Headquartered in Germany, in-tech, is one of the fastest growing Engineering R&D services providers that shapes digitization in the automotive, rail transport and smart industry sectors. in-tech develops solutions in e-mobility, connected and autonomous driving, electric vehicles, off-road vehicles and railroad. in-tech brings to Infosys, marquee German original equipment manufacturers, deep client relationships, and an extensive industry expertise with a multidisciplinary team of 2,200 people across locations in Germany, Austria, China, UK, and nearshore locations in Czech Republic, Romania, Spain, and India.
The entire shareholding in in-tech Group India Private Limited, a step-down subsidiary of in-tech Holding GmbH, will be acquired by Infosys Limited. Infosys is delighted to welcome in-tech and its leadership team.
3.  Client wins & testimonials
Infosys announced a strategic multi-year collaboration with Telstra to accelerate its software engineering and IT transformation journey and further enhance their customer experience. Kim Krogh Andersen, Group Executive, Product and Technology, Telstra, said, “Consumers around the world have significantly increased their expectations when it comes to the seamless, digital delivery of their products and services. As we approach the tipping point of Generative AI and an avalanche of digital adoption, strategic partnerships with global leaders such as Infosys are critical to support our shared ambitions for digital leadership.”Infosys launched Infosys AsterTM – a set of AI-amplified marketing services, solutions and platforms that deliver engaging brand experiences, enhanced marketing efficiency, and accelerated effectiveness for business growth. Tom Portman, Group VP, Online Transformation and Group Head of Digital Channels, ABB, said, “Infosys Aster™ is bringing expertise to help us reimagine, engineer, and activate best-in-class omnichannel experiences for our customers, partners, and prospects enabling them to quickly access the relevant and up to date information they need. We see the potential of AI to amplify these capabilities and significantly raise the bar in the delivery of personalized content, ensuring predictability of engagement. We are elevating the way we connect with our customers and how our customers connect with us.”Infosys collaborated with La-Z-Boy to establish a Testing Center of Excellence. Infosys will provide comprehensive Quality Engineering services by leveraging modern technologies and AI automation tools. Carol Lee, CIO, La-Z-Boy, said, “We chose Infosys as our strategic partner due to their impressive track record of establishing strong testing center of excellence along with providing comprehensive testing services by leveraging their QA methodologies, industry leading tools, transforming QA powered by Gen AI, AI/ML led tools and accelerators.”Infosys announced a strategic three-year partnership with the ABB FIA Formula E World Championship as its official Digital Innovation Partner. Jeff Dodds, Chief Executive Officer, Formula E, said, “Infosys’ expertise in cutting-edge technologies makes them the ideal partner to help us drive the future of electric motorsport. We are excited to work with them to deliver exceptional experiences for our global fan base and further strengthen Formula E’s position as a leader in sustainable, digital-first sports. Infosys’ commitment to sustainability and innovation aligns perfectly with our vision, and we are confident that this collaboration will unlock new avenues in our key focus areas.”Infosys announced a multi-year strategic collaboration with First Abu Dhabi Bank (FAB) to optimize and modernize FAB’s IT infrastructure services. Suhail Bin Tarraf, Group Chief Operating Officer, First Abu Dhabi Bank (FAB), said, “At FAB, we are committed to transforming our IT organization and delivering world-class services that drive tangible business outcomes. After a thorough evaluation, we selected Infosys as our strategic partner due to their proven expertise, innovative solutions, and the strong trust they built at all levels. Infosys’ outcome-oriented managed services model coupled with their automation-powered delivery approach will help us significantly improve service quality, compliance, and operational efficiency.”Infosys and Posti extended their strategic collaboration to help Posti enhance its customer experience and operational efficiency, leveraging Infosys Topaz. Petteri Naulapää, CIO & SVP, ICT and Digitalization, Posti Group, said, “We are pleased to announce the renewal of our collaboration with Infosys for another seven years. This decision is underpinned by a robust service delivery coupled with a spirit of continuous innovation by leveraging enterprise AI capabilities through Infosys Topaz. Infosys’ continuous commitment to delivering customer satisfaction and a sharp focus on emerging technologies such as cloud, data, and AI will help in catalysing Posti’s digital transformation journey in line with its larger corporate strategy of delivering on an industry-leading operational efficiency.”Infosys collaborated with Proximus to revamp their ServiceNow platform by leveraging Infosys Cobalt. Antonietta Mastroianni, Chief Digital and IT Officer, Proximus, said, “Our collaboration with Infosys marks a transformative leap in reshaping the telecom realm. Infosys’ technical expertise in transforming legacy environments with the ServiceNow platform makes it an ideal choice for collaboration. Together, we will continue to revolutionize service delivery and provide enhanced customer experience.”Infosys announced successful completion of the technology landscape separation program of Team Global Express. Danny Gravell, CIO of Team Global Express, said, “Our partnership with Infosys enabled us to successfully set up an independent technology capability and transform our foundation technology platforms. We value Infosys’ thought leadership, collaborative approach, and experience in implementing infrastructure and cloud transformation programs as a true strategic partner. By using the ready-to-use templates from Infosys Cobalt, we could complete the transformation at speed with maximum efficiency. This program has enabled us to work towards providing the best possible experience for our customers.”Infosys collaborated with Commerzbank to consolidate their trading ecosystem on a unified Murex platform to help the bank accelerate its digital transformation journey. Sebastian Kauck, CIO Corporate Clients, Commerzbank, said, “The successful platform consolidation is a major achievement after three years of hard work. Throughout this project, the collaboration of our internal teams with Murex, Infosys and other external partners has always been an integral part to its success. The new setup enables Commerzbank to significantly enhance process efficiency and simultaneously reduce costs. Additionally, it lays the foundation for future business growth as adapting to market changes can be done more swiftly.”4.  Recognitions & Awards
Brand
Rated as Top 100 most valuable brand in the world by Kantar BrandZ; Ranked among the most-trusted brands in India and the USRecognized as one of India’s Best Employers Among Nation-Builders 2024 by the Great Place To Work® InstituteRecognized as one of India’s Best Companies to Work for 2024 by the Great Place To Work® InstituteInfosys was recognized as one of the “Most Honored” companies, receiving multiple awards at the 2024 All-Asia Executive Team Rankings from Institutional InvestorInfosys’ Investor Relations (IR) function has been recognized one of the top two IR Functions amongst Indian companies in an annual survey conducted by FinanceAsiaAI and Cloud Services
Positioned as a leader in HFS Horizons: Industry Cloud Service Providers, 2024Recognized as a leader in Avasant’s Applied AI Services 2024 RadarviewKey Digital Services
Rated as a leader in The Forrester Wave: Continuous Automation And Testing Services, Q2 2024Recognized as a leader in Capital Markets IT Services PEAK Matrix Assessment 2024 by EverestPositioned as a leader in ISG’s SAP Ecosystem 2024 Provider Lens study in US, Germany, and GlobalPositioned as a leader in ISG Salesforce Ecosystem Partners 2024 Provider Lens study in USRecognized as a leader in Avasant’s Cybersecurity Services 2024 RadarviewRecognized as a leader in Avasant’s Multisourcing Service Integration 2023–2024 RadarviewInfosys-Fluido won ‘Best Salesforce Partner to Work For’ at the 2024 Digital Revolution AwardsIndustry & Solutions
Rated as a leader in Healthcare Industry Cloud Services PEAK Matrix Assessment 2024 by EverestRecognized as a leader in Wealth & Asset Management 2024 by NelsonHallPositioned as a leader in IDC MarketScape: Worldwide Distributed Energy Resource Management Systems Service Providers 2024 Vendor AssessmentPositioned as a leader in IDC MarketScape: Worldwide Consulting and Digital Services Providers for the Upstream Oil and Gas Industry 2024 Vendor AssessmentPositioned as a leader in IDC MarketScape: Worldwide Consulting and Digital Services Providers for the Downstream Oil and Gas Industry 2024 Vendor AssessmentRecognized as a leader in Avasant’s Manufacturing Digital Services 2024 RadarviewInfosys Finacle won the ‘Innovation in Offering Award with RCBC DiskarTech’ and the ‘Customer & Program Impact Award with IndusInd Bank’ at the IBSi Digital Banking Awards 2024Infosys BPM recognised as a leader in 2024 Gartner Magic Quadrant for Finance and Accounting Business Process OutsourcingInfosys BPM won the SS&C Blue Prism Partner Excellence Award 2024, under the ‘Intelligent Automation Award’ category for the APAC RegionInfosys BPM won two awards at ATD 2024: ‘Excellence in Practice Award 2024’ and ‘ATD Best Award 2024’Infosys BPM won the PeopleFirst HR Excellence Award 2024, in the ‘Learning & Development’ categoryInfosys BPM won an award at the CII National Lean Competition 2024Read more about our Awards & Recognitions here.
About Infosys
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by the cloud. We enable them with an AI-powered core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next.
Safe Harbor
Certain statements in this release concerning our future growth prospects, our future financial or operating performance, and the McCamish cybersecurity incident review and notification process are forward-looking statements intended to qualify for the ‘safe harbor’ under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results or outcomes to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding the execution of our business strategy, increased competition for talent, our ability to attract and retain personnel, increase in wages, investments to reskill our employees, our ability to effectively implement a hybrid working model, economic uncertainties and geo-political situations, technological disruptions and innovations such as Generative AI, the complex and evolving regulatory landscape including immigration regulation changes, our ESG vision, our capital allocation policy and expectations concerning our market position, future operations, margins, profitability, liquidity, capital resources, our corporate actions including acquisitions, the findings of the review of the extent and nature of data subject to unauthorized access and exfiltration in relation to the McCamish cybersecurity incident and reaction to such findings, the timing of the notification process, and the amount of any additional costs, including indemnities or damages or claims, resulting directly or indirectly from the incident. Important factors that may cause actual results or outcomes to differ from those implied by the forward-looking statements are discussed in more detail in our US Securities and Exchange Commission filings including our Annual Report on Form 20-F for the fiscal year ended March 31, 2024. These filings are available at www.sec.gov. Infosys may, from time to time, make additional written and oral forward-looking statements, including statements contained in the Company’s filings with the Securities and Exchange Commission and our reports to shareholders. The Company does not undertake to update any forward looking statements that may be made from time to time by or on behalf of the Company unless it is required by law.
 
Infosys Limited and subsidiaries
Extracted from the Condensed Consolidated Balance Sheet under IFRS as at:                (Dollars in millions)
June 30, 2024
March 31, 2024
ASSETS
Current assets
Cash and cash equivalents
1,971
1,773
Earmarked bank balance for dividend (4)
1,394

Current investments
1,051
1,548
Trade receivables
3,709
3,620
Unbilled revenue
1,511
1,531
Other Current assets
1,882
2,250
Total current assets
11,518
10,722
Non-current assets
Property, plant and equipment and Right-of-use assets
2,285
2,323
Goodwill and other Intangible assets
1,055
1,042
Non-current investments
1,340
1,404
Unbilled revenue
198
213
Other non-current assets
874
819
Total non-current assets
5,752
5,801
Total assets
17,270
16,523
LIABILITIES AND EQUITY
Current liabilities
Trade payables
443
474
Unearned revenue
834
880
Employee benefit obligations
336
314
Other current liabilities and provisions
4,473
2,983
Total current liabilities
6,086
4,651
Non-current liabilities
Lease liabilities
740
767
Other non-current liabilities
441
500
Total non-current liabilities
1,181
1,267
Total liabilities
7,267
5,918
Total equity attributable to equity holders of the company
9,956
10,559
Non-controlling interests
47
46
Total equity
10,003
10,605
Total liabilities and equity
17,270
16,523
 
Extracted from the Condensed Consolidated statement of Comprehensive Income under IFRS for:          
  (Dollars in millions except per equity share data)
3 months ended June 30, 2024
3 months ended June 30, 2023
Revenues
4,714
4,617
Cost of sales
3,259
3,211
Gross profit
1,455
1,406
Operating expenses:
   Selling and marketing expenses
232
217
   Administrative expenses
229
228
Total operating expenses
461
445
Operating profit
994
961
Other income, net (3)
88
57
Profit before income taxes
1,082
1,018
Income tax expense
318
294
Net profit (before minority interest)
764
724
Net profit (after minority interest)
763
724
Basic EPS ($)
0.18
0.17
Diluted EPS ($)
0.18
0.17
NOTES:
The above information is extracted from the audited condensed consolidated Balance sheet and Statement of Comprehensive Income for the quarter ended June 30, 2024, which have been taken on record at the Board meeting held on July 18, 2024.A Fact Sheet providing the operating metrics of the Company can be downloaded from www.infosys.com.Other income is net of Finance Cost.Represents bank balance earmarked for final and special dividend. Payment date for dividend was July 1, 2024.IFRS-INR Press Release: https://www.infosys.com/investors/reports-filings/quarterly-results/2024-2025/q1/documents/ifrs-inr-press-release.pdf
Fact sheet: https://www.infosys.com/investors/reports-filings/quarterly-results/2024-2025/q1/documents/fact-sheet.pdf
 
Logo: https://mma.prnewswire.com/media/633365/4364085/Infosys_Logo.jpg
 

View original content:https://www.prnewswire.co.uk/news-releases/infosys-stellar-all-round-performance-with-3-6-sequential-revenue-growth-in-cc-1-operating-margin-expansion-302200575.html

Continue Reading
Advertisement

Artificial Intelligence

Huawei Cloud: One Step to Intelligence, One Leap to Excellence

Published

on

huawei-cloud:-one-step-to-intelligence,-one-leap-to-excellence

SHANGHAI, Sept. 20, 2024 /PRNewswire/ — During HUAWEI CONNECT 2024, Huawei Cloud hosted a Summit themed “One Step to Intelligence, One Leap to Excellence”, gathering global industry leaders to explore the intelligent transformation trend, share pioneering cases, and assist customers in their journey to cloud-based operational excellence. At the summit, Huawei Cloud and global customers, unveiled the Data Center-to-Cloud solution and the PRIME Framework white paper.

Jacqueline Shi, President of Huawei Cloud Global Marketing and Sales Service, said: “Customers’ support enables us to innovate with finance, retail, autonomous driving, the Internet and many other sectors. By combining cutting-edge technologies with industry know-how, Huawei Cloud paves your way to digital and intelligence.”
Kevin Gao, President of Huawei Cloud Public Cloud Business, presented a keynote speech “One Step to Intelligence, One Leap to Excellence”. He outlined three critical factors for accelerating cloud migration and AI use: global infrastructure, continuous technological innovation, and lean operations.
In terms of global infrastructure, Huawei Cloud’s global infrastructure, KooVerse, offers extensive coverage, exceptional experience, and excellent quality. With 33 Regions and 93 Availability Zones (AZs) worldwide, Huawei Cloud supports over 10,000 customers in achieving business globalization. Huawei Cloud has interconnected with over 2,400 peers of global carriers, ensuring one hop to cloud and global business deployment for customers. Huawei Cloud data centers achieve Tier IV reliability.
Technological innovation is at the heart of Huawei Cloud’s mission to accelerate enterprise transformation. At this summit, three key areas were highlighted: compute upgrade, data-AI convergence, and application innovation.
The Data Center-to-Cloud solution released by Gao offers data center facilities, intelligent O&M, and DCN as a service, allowing customers to easily relocate and run dedicated compute resources on Huawei Cloud.
Huawei Cloud’s Ascend AI Cloud Service enables training jobs to run non-stop up to 40 days, shortens the fault recovery time to 10 minutes, and increases the linear scalability to 90% (the industry average are 2.8 days, 60 minutes, and 80%, respectively).
Huawei Cloud’s deterministic operations system has been adopted by over 300 global customers, maintaining a strong security record with zero intrusions and zero data breaches. 
DeFacto from Türkiye leverages Huawei Cloud’s cloud native solution with Cloud Container Engine (CCE) and streamlines their services.
Huawei Cloud helps Chery to deploy, use, and manage the cloud. Currently, Huawei Cloud nodes in more than 10 countries and regions are providing services for Chery.
NavInfo has adopted Huawei Cloud’s R&D expertise and CodeArts software development pipeline to establish efficient development management standards and efficiency measurement systems.
Kingsoft and Huawei Cloud have collaboratively developed an excellence framework to optimize cost management.
Tencent Music’s Tianqin Lab has developed the MUSELight AI model acceleration framework, utilizing Huawei Cloud’s Ascend AI Cloud Service.
At the end of the summit, Huawei Cloud and global customers jointly released the Enterprise Excellence PRIME Model White Paper. This white paper offers a reference framework for enterprises to leap to excellence with digital and intelligent technologies.
Photo – https://mma.prnewswire.com/media/2510990/Jacqueline_Shi_President_Huawei_Cloud_Global_Marketing_Sales_Service.jpgPhoto – https://mma.prnewswire.com/media/2510991/Kevin_Gao_President_Huawei_Cloud_Public_Cloud_Business.jpg 

View original content:https://www.prnewswire.co.uk/news-releases/huawei-cloud-one-step-to-intelligence-one-leap-to-excellence-302254392.html

Continue Reading

Artificial Intelligence

Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM with around 500K AMRs shipment by 2030 – LogisticsIQ

Published

on

autonomous-mobile-robots-(amr)-market-to-cross-$10-billion-tam-with-around-500k-amrs-shipment-by-2030-–-logisticsiq

NEW DELHI, Sept. 20, 2024 /PRNewswire/ — The global Autonomous Mobile Robots (AMRs) market is poised for significant growth, driven by increasing demand for automation across various sectors, including logistics, manufacturing, and healthcare. According to the latest market research by LogisticsIQ (5th Edition), Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM by 2030 with a CAGR of ~30% between 2024 and 2030. We expect the installed base of AMRs to reach 2 million units in 2030.

Download a Free Sample of our report on Autonomous Mobile Robots Market
Key Market Drivers
Increased Efficiency: Businesses are rapidly adopting AMRs to enhance operational efficiency, reduce labour costs, and streamline workflows.Labor Shortages: The ongoing labour shortages in various industries have accelerated the need for automated solutions, making AMRs a crucial investment for companies.Technological Advancements: Innovations in artificial intelligence (AI), machine learning, and sensor technology are making AMRs more capable and reliable.Growing E-Commerce: The rise of e-commerce has created a demand for efficient warehouse management solutions, further boosting the AMR market.Regional Insights
North America leads the AMR market, accounting for the largest share due to the early adoption of automation technologies. Meanwhile, the Asia-Pacific region, especially China is expected to witness the fastest growth, fuelled by rapid industrialization and increasing investments in smart factories. US and China are going to contribute ~40% of this market by 2030.
Industry Applications
Autonomous mobile robots are being utilized in various applications, including:
Warehouse Automation: AMRs enhance inventory management and order fulfillment processes. This industry is expected to lead with more than 75% share by 2030.Manufacturing: Robots facilitate material handling and assembly line operations. Traditionally, it has been dominated by AGVs but are getting replaced by AMRs due to more flexibility and scalability features.Healthcare: AMRs assist in transporting medical supplies, improving patient care and operational efficiency. It is a niche market but high growing area to focus further.Purchase the full report on the Autonomous Mobile Robots Market – Growth, Trends, and Forecast
Top Factors & Challenges in the Autonomous Mobile Robots Market
Top Factors Driving Growth
Increased Demand for Automation: Businesses across industries are increasingly seeking automation to enhance efficiency and reduce operational costs.Technological Advancements: Innovations in AI, machine learning, and sensor technologies improve the capabilities and reliability of AMRs, making them more attractive to businesses.Labor Shortages: Ongoing labour shortages, especially in sectors like logistics and manufacturing, are pushing companies to adopt AMRs to maintain productivity.Growth of E-Commerce: The surge in online shopping requires efficient warehouse and logistics solutions, driving the adoption of AMRs for inventory management and order fulfillment.Improved Safety Standards: AMRs can reduce workplace accidents by taking over hazardous tasks, leading to safer working environments.Customization and Scalability: Many AMR solutions offer customizable features that allow businesses to scale operations according to their specific needs.Top Challenges
High Initial Costs: The upfront investment for AMRs can be substantial, which may deter smaller businesses from adoption.Integration with Existing Systems: Integrating AMRs into current operational workflows and legacy systems can be complex and resource-intensive.Regulatory Compliance: Navigating regulatory requirements and safety standards can pose challenges, especially in highly regulated industries.Limited Awareness and Understanding: Some businesses may lack knowledge about AMR technology and its potential benefits, hindering adoption.Technical Limitations: While technology is advancing, AMRs may still struggle with navigating complex environments or handling unexpected obstacles.Cybersecurity Concerns: As AMRs become more connected, they may be vulnerable to cybersecurity threats, requiring robust security measures.Know more about Autonomous Mobile Robots Market – Top Players, Cost Analysis, Competition, and Customer Expectation
What will you get in this report?
500 Pages and 160+ Exhibits Market ReportRevenue and Shipment data segmented:By form factor (Deck-load, Tugger/Pull, Forklift)By Navigation (Tape/Wire/Magnet, Reflector, QR Codes, LiDAR, Camera, Sensor, Fusion)By Function (Goods to person (G2P), Person to Goods (P2G), Conveying, Piece picking, Towing, Pallet Handling)By Application (Manufacturing, Logistics and Warehousing, Shipping, Delivery, Cleaning, Security, Hospital, Retail)Detailed excel file with 150+ market tables (Revenue and Shipment) including forecast till 2030A bottom-up analysis of Autonomous Mobile Robots Market for 19 countries (United States, Canada, Germany, UK, France, Italy, Spain, Nordics, China, Japan, South Korea, Australia, India, Taiwan, Thailand, Malaysia, Singapore, Indonesia, Phillippines) in 5 regionsIn-depth analysis of 700 companies in the ecosystem with more than 160 company profiles.Focus Group Discussion with 100+ key industry stakeholders across the value chain to collect the first-hand information to validate our analysis. Stakeholders include components and technology providers, system integrators, robot manufacturers (OEM/ODM), robotic software & service providers, and end-user industry verticals. Apart this, study also focuses on different components and integral parts of Autonomous Mobile Robots like Motion Control, Batteries & Chargers, Cameras / Vision Sensor, LiDAR, Sensor Fusion, QR Code and Wireless Communication.2 Analyst Sessions to brainstorm furtherInvestment details excel file with 175+ M&A and ~1000 funding dealsLogisticsIQ™ Exclusive Market Map (700+ Players across more than 15 categories)About LogisticsIQ
LogisticsIQ is a dedicated market research and advisory firm in Logistics & Supply Chain sector, empowering decision makers from top fortune 1000 companies, financial and research institutions, private equity and high potential start-ups with market insights to make better decisions. We enable this by analysing the right mix of the best data, the best research methodologies, and the best industry panel to deliver value to our clients.
Media Contact
Name: Sunny M.Email: [email protected]: +91-952-918-4938 
Photo: https://mma.prnewswire.com/media/2510643/Autonomous_Mobile_Robots_Market.jpgLogo: https://mma.prnewswire.com/media/2320412/LogisticsIQ_Logo.jpg

View original content:https://www.prnewswire.co.uk/news-releases/autonomous-mobile-robots-amr-market-to-cross-10-billion-tam-with-around-500k-amrs-shipment-by-2030—logisticsiq-302253915.html

Continue Reading

Artificial Intelligence

Huawei Cloud: Thrive with the Cloud and Reshape Industries with AI

Published

on

huawei-cloud:-thrive-with-the-cloud-and-reshape-industries-with-ai

SHANGHAI, Sept. 20, 2024 /PRNewswire/ — At HUAWEI CONNECT 2024, Executive Director of the Board of Huawei and CEO of Huawei Cloud Zhang Ping’an delivered a keynote speech “Thrive with the Cloud: Reshaping Industries with AI”. Zhang states that enterprises must seize opportunities in the intelligent era and use AI to build competitive advantages. The key is to adopt an AI-native mindset now.

First, enterprises should actively embrace AI, open up industry scenarios, and develop enterprise AI platforms. This will enable AI to serve their core business. Today, Huawei Cloud Pangu Models have been applied in more than 30 industries and 400 scenarios.
Second, AI computing power is critical. Enterprises need to build AI-native cloud infrastructure that matches their requirements. Zhang officially released CloudMatrix to interconnect and pool all resources including CPUs, NPUs, DPUs and memory. It marks an evolution from monolithic to matrix compute. CloudMatrix comprises an AI-native cloud infrastructure in which everything can be pooled, peer-to-peer, and composed, providing enterprises with abundant AI computing power.
Third, data quality determines the effectiveness of AI models. We need to build knowledge-centric data foundations to enable data to serve AI better. Huawei Cloud has fully upgraded DataArts to provide customers with AI-oriented and knowledge-centric data foundations. The updated features include AI+data convergence engines, data development and governance, knowledge services, and AI+data application enablement services.
Fourth, build suitable AI models based on business applications. We must abandon the misconception that larger models are better. It is not feasible to address all needs with just one foundation model. Pangu Models 5.0 are available in different sizes, with parameters in the billions, tens of billions, hundreds of billions, and trillions. The complete series of Pangu models meet practically all business application needs.
In addition, Huawei Cloud’s Pangu 5.0 models enhance spatiotemporal controllable generation (STCG) in the field of multimodal generation. For autonomous driving,the Pangu model can generate driving scenarios that accurately mirror the physical world. It can generate videos that reflect normal driving scenarios, random road conditions and accidental and aggressive driving, allowing automotive enterprises to train autonomous driving more efficiently.
Huawei Cloud officially released the Mainframe-to-Cloud Solution, designed to help customers develop new core systems on the cloud with high availability, easy O&M, and better agility, helping customers achieve 99.999% financial-grade high availability. Currently, most banks in China have chosen Huawei to build their new core systems on the cloud.
Tao Jingwen, Huawei’s Director of the Board and President of the Quality, Business Process & IT Mgmt Dept, recounted Huawei’s digital transformation journey. Huawei has developed a methodology, which can be broken down into three layers, five phases, and eight steps. The three layers are redefining intelligent business, AI model development and delivery, and ongoing optimization of intelligent applications. The five phases are identifying suitable scenarios, reshaping processes, transforming organizations, optimizing corporate data, and adopting AI applications.
Bruno Zhang, CTO of Huawei Cloud, presented insights on how Huawei Cloud is leveraging AI to reshape data centers, infrastructure, and cloud services. He also addressed the construction of an AI-native cloud designed to accelerate intelligence in industries. The “1+N” Pangu assistant system, unveiled by Mr. Zhang, signifies a new era in cloud service interaction. The system includes Pangu Doer, and the myriad use cases in product R&D, data analytics, security, and office collaboration, where Pangu models are trained using the scenario-specific data, know-how, and practices to enhance cloud services and boost efficiency with tailored AI.
Photo – https://mma.prnewswire.com/media/2510783/Zhang_Ping_an_Executive_Director_Board_Huawei_CEO_Huawei_Cloud.jpg Photo – https://mma.prnewswire.com/media/2510784/AI_native_cloud_infrastructure_CloudMatrix_officially_released.jpg
 

View original content:https://www.prnewswire.co.uk/news-releases/huawei-cloud-thrive-with-the-cloud-and-reshape-industries-with-ai-302254192.html

Continue Reading

Trending