Artificial Intelligence
NETSOL Technologies Reports Fiscal Third Quarter 2020 Financial Results
CALABASAS, Calif., May 13, 2020 (GLOBE NEWSWIRE) — NETSOL Technologies, Inc. (Nasdaq: NTWK), a global business services and enterprise application solutions provider, reported results for the fiscal third quarter ended March 31, 2020.
Fiscal Third Quarter 2020 and Recent Operational HighlightsRegarding previously announced 12-country, $110 million contract with German auto manufacturing giant, the Company made continued progress with respect to additional NFS Ascent® implementations and anticipates Go Live events in the coming months for the following countries: Singapore and Thailand.Regarding the same contract mentioned above, successfully implemented NETSOL’s full suite NFS Ascent Retail Platform, including its Omni Point of Sale (Omni POS) and Contract Management System (CMS), as well as the Wholesale Finance System (WFS) of its Wholesale Platform, for the same customer in Malaysia.Signed contract with a leading bank in the UK for the implementation of the NFS Ascent Retail platform, including Point of Sale solution and Contract Management System, in the cloud.Went “Live” with NETSOL’s LeaseSoft application for one of the largest independently-owned finance companies in the UK.Otoz entered into a contract with the captive auto finance company of a leading German auto manufacturer in China to launch its pilot car sharing program in China.Successfully delivered Retail system to the Company’s first Ascent customer in North America.Delivered Ascent Retail platform to the captive auto finance company of a notable Japanese equipment manufacturer in Australia and New Zealand.Implemented the i-OPS (i-operations) system with a leading captive finance company of a notable Japanese bank in Indonesia, allowing their call center workforce to contact prospects and act as an additional channel for lead generation.Successfully upsold system enhancements worth approx. $4.0 million during implementation with the captive auto finance company of a leading German Auto manufacturer in China.Generated nearly $2.0 million by providing additional services and change requests for various customers across multiple regions.In response to the economic slowdown caused by the current global pandemic, implemented a series of cost reduction initiatives and temporary salary reductions, which are expected to generate approx. $5 million in annualized savings.Fiscal Third Quarter 2020 Financial Results
Total net revenues for the third quarter of fiscal 2020 were $13.5 million, compared with $17.1 million in the prior year period. The decrease in total net revenues was primarily due to a decrease in total license fees of $2.2 million and a decrease in services revenues of $2.6 million, which was offset by an increase in total maintenance fees of $1.2 million.Total license fees were $312,000, compared with $2.5 million in the prior year period.Total maintenance fees were $4.9 million, compared with $3.7 million in the prior year period.Total services revenues were $8.3 million, compared with $10.9 million in the prior year period.Gross profit for the third quarter of fiscal 2020 was $6.0 million (or 44.5% of net revenues), compared to $8.6 million (or 50.0% of net revenues) in the third quarter of fiscal 2019. The decreases in gross profit and gross profit as a percentage of revenue were primarily due to decreases in revenue by an amount that was greater than the related decreases in cost of revenues, respectively. The decrease in cost of revenues was predominantly driven by decreases in travel, depreciation and amortization and other expenses, which were offset by a slight increase in salaries and consultants’ costs.Operating expenses for the third quarter of fiscal 2020 decreased 1% to $6.4 million (or 47.3% of net revenues) from $6.5 million (or 37.7% of net revenues) in the third quarter of fiscal 2019. The slight decrease in operating expenses was primarily due to decreases in sales and marketing expenses, depreciation and amortization, and research and development costs, which were offset by an increase in general and administrative expenses.GAAP net income attributable to NETSOL for the third quarter of fiscal 2020 totaled $1.0 million, or $0.09 per diluted share, compared with GAAP net income of $1.3 million, or $0.11 per diluted share in the third quarter of fiscal 2019. GAAP net income attributable to NETSOL included a $1.8 million gain on foreign currency exchange transactions in the third quarter of fiscal 2020, which was a significant increase compared with a gain of $47,000 in the prior year period.Non-GAAP adjusted EBITDA for the third quarter of fiscal 2020 totaled $1.8 million, or $0.15 per diluted share, compared with non-GAAP adjusted EBITDA of $2.2 million, or $0.19 per diluted share in the third quarter of fiscal 2019 (see note regarding “Use of Non-GAAP Financial Measures,” below for further discussion of this non-GAAP measure).At March 31, 2020, cash and cash equivalents were $15.7 million, a decrease from $17.0 million at the end of the prior year quarter.Management Commentary
“The start of the calendar year has been a challenging time for many, but we are pushing ahead and continuing to operate efficiently in this new-normal environment,” said company Co-Founder, Chairman and Chief Executive Officer Najeeb Ghauri. “Our operations in the fiscal third quarter were meaningfully impacted by the global slowdown occurring in many of the verticals we serve, including the greater leasing, finance and automotive industries. In direct response to this macroeconomic headwind, we’ve made strategic cost reductions in several key areas, which has allowed us to retain our entire workforce and should result in costs savings of $5 million on an annualized basis.“Additionally, our team has responded capably through this trial, and we’ve been able to operate uninterrupted since transitioning to a remote work environment. Between system enhancements and change requests with existing customers, we were able to generate an additional $2 million in revenue during the period with another $4 million to be recognized in the next few quarters, which is a testament to the commitment and skill of our implementation groups. While COVID-19 has also impacted our ability to travel and meet face-to-face with prospects, our teams are still very busy in conducting virtual demos, presentations and negotiations.“Looking ahead, while we’re encouraged by the response we’ve seen in our Chinese operations, we also understand that the roadmap for the rest of the world’s re-opening remains opaque at best. We are continuously monitoring all aspects of our global operations to maximize the health and safety of our workforce while balancing our long-term growth initiatives. As a digital-first and SaaS-focused organization, we are also constantly evaluating innovative and flexible ways to manage our cost structures without impacting the delivery and implementations of projects in all markets.”Sales Outlook
NETSOL President, Global Sales and Otoz CEO Naeem Ghauri added: “Traditionally, the fiscal fourth quarter is our strongest performance period, and we’re currently tracking in this direction with a backloaded end of the year. We expect to see sequentially stronger revenues and EBITDA, allowing us to close out the year on an upward trajectory. With the global economic outlook still uncertain, we are seeing initial signs of recovery and activity picking up. Overall, we are confident in our ability to grow in fiscal 2021.”Otoz Update
“Otoz is continuing to gain interest and traction from many different types of prospects,” continued Ghauri. “Auto OEMs, finance companies and dealers are all types of businesses that are looking to deploy our technology to increase fleet utilization and provide more flexible auto ownership models during a time when traditional purchasing models are coming under intense pressure. We are witnessing consumer habits undergo a fundamental change in usage behavior. Otoz is extremely well positioned to benefit from this paradigm shift. Based upon cloud native architecture, our technology can be implemented through a SaaS subscription model, allowing for a low-cost entry point to a wider market.”Conference Call
NETSOL Technologies management will hold a conference call today (May 13, 2020) at 9:00 a.m. Eastern time (6:00 a.m. Pacific time) to discuss these financial results. A question and answer session will follow management’s presentation.U.S. dial-in: 1-877-407-0789
International dial-in: 1-201-689-8562Please call the conference telephone number 5-10 minutes prior to the start time. An operator will register your name and organization. If you have any difficulty connecting with the conference call, please contact Gateway Investor Relations at 1-949-574-3860.The conference call will be broadcasted live and available for replay here and via the Investor Relations section of NETSOL’s website.A replay of the conference call will be available after 12:00 p.m. Eastern time on the same day through May 27, 2020.Toll-free replay number: 1-844-512-2921
International replay number: 1-412-317-6671
Replay ID: 13703209About NETSOL Technologies
NETSOL Technologies, Inc. (Nasdaq: NTWK) is a worldwide provider of IT and enterprise software solutions primarily serving the global leasing and finance industry. The Company’s suite of applications is backed by 40 years of domain expertise and supported by a committed team of more than 1300 professionals placed in eight strategically located support and delivery centers throughout the world. NFS, LeasePak, LeaseSoft or NFS Ascent – help companies transform their Finance and Leasing operations, providing a fully automated asset-based finance solution covering the complete finance and leasing lifecycle.About Otoz
Otoz provides business-to-business, white-label technology solutions for new mobility. Our suite of agile and customizable mobility solutions ranges from car sharing and subscription products to AI-enabled chatbots, allowing businesses to engage consumers and facilitate the complete transaction lifecycle intelligently and digitally. Otoz technologies empower automotive companies and start-ups to launch new mobility models quickly and efficiently. The technology Otoz has developed is cloud-native and supported by artificial intelligence (AI), machine learning (ML), internet of things (IoT) and blockchain. Our technology drives utilization, while supporting robust and efficient operations.Forward-Looking Statements
This press release may contain forward-looking statements relating to the development of the Company’s products and services and future operation results, including statements regarding the Company that are subject to certain risks and uncertainties such as the effect of stay at home orders and social distancing imposed by COVID-19 and its resultant impact on our financials and the world economy that could cause actual results to differ materially from those projected. The words “expects,” “anticipates,” variations of such words, and similar expressions, identify forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, but their absence does not mean that the statement is not forward-looking. These statements are not guarantees of future performance and are subject to certain risks, uncertainties, and assumptions that are difficult to predict. Factors that could affect the Company’s actual results include the progress and costs of the development of products and services and the timing of the market acceptance, as well as the delay in recovery or a prolonged economic downturn that effects our Company, our customers and the world economy. The subject Companies expressly disclaim any obligation or undertaking to update or revise any forward-looking statement contained herein to reflect any change in the company’s expectations with regard thereto or any change in events, conditions or circumstances upon which any statement is based.Use of Non-GAAP Financial Measures
The reconciliation of Adjusted EBITDA to net income, the most comparable financial measure based upon GAAP, as well as a further explanation of adjusted EBITDA, is included in the financial tables in Schedule 4 of this press release.Investor Relations Contact:Matt Glover and Tom Colton
Gateway Investor Relations
1-949-574-3860
[email protected]
NETSOL Technologies, Inc. and Subsidiaries
Schedule 1: Consolidated Balance Sheets
NETSOL Technologies, Inc. and Subsidiaries
Schedule 2: Consolidated Statement of OperationsNETSOL Technologies, Inc. and SubsidiariesSchedule 3: Consolidated Statement of Cash FlowsNETSOL Technologies, Inc. and Subsidiaries
Schedule 4: Reconciliation to GAAP
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.
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Artificial Intelligence
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
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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.
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