Artificial Intelligence
Edge Computing Market – Growth, Trends, Forecasts (2020 – 2025)
New York, Dec. 16, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Edge Computing Market – Growth, Trends, Forecasts (2020 – 2025)” – https://www.reportlinker.com/p05778453/?utm_source=GNW
Traditionally, data management and analysis are performed in the cloud or data centers. However, the scenario seems to be changing, with the increasing penetration of network-related technologies and initiatives, such as smart manufacturing and smart cities.?
– Although the adoption is presently not common, over the forecast period, some large enterprises, especially across industries, such as telecom and manufacturing, are expected to use edge computing, especially in relation to IoT. With more than 50 billion connected devices, Huawei predicts that, by 2020, over 50% of data may be analyzed, processed, and stored in the network edge.
– Furthermore, the development of processing-intensive applications involving artificial intelligence, IoT, and machine learning (ML), which work on larger data sets and perform massive algorithmic parallelism on models (in order to improve business operations), has promoted the demand for localized compute, data storage, and network resources. Therefore, along with IoT and IIoT, the adoption of AI and ML is also driving the growth of edge computing.
– Edge computing is being led by initiatives, like OpenFog Consortium, which is an organization headed by vendors in the market, including Cisco, Intel, Microsoft, and Dell EMC, as well as academic institutions, like Princeton University and Purdue University. The consortium aims at developing reference architectures for fog and edge computing deployments.
– Edge computing is expected to play a vital role in the widespread adoption and working of technologies, such as AR/VR, autonomous vehicles, IoT, next-gen CDNs, next-gen cloud, and streaming games. For instance, edge computing may be vital in operating an autonomous vehicle network in the future, and such factors are influencing vendors to form a partnership to cater to the growing needs of these industries. For example, in July 2019, IBM Japan joined the Automotive Edge Computing Consortium (AECC), driving the best practices for the coming vehicles and computing convergence.
– The outbreak of COVID-19 is expected to influence the global industrial spending significantly over the coming years, due to the non-operational status of various industries. Various industrial enterprises are facing shut down due to regulations and lack of workforce. For instance, the automotive industry, which was already facing a slump in sales during 2019, is expected to observe the continued drop in sales till the end of 2020, and this is expected to significantly influence the production facilities spending on technological upgrades to enhance the production capacities.
– For instance, according to the ACEA, as of April 20, 2020, the EU wide production losses caused by factory shutdowns amounted to a loss of at least 2,068,832 motor vehicles, including passenger cars, vans, trucks, buses, and coaches. Such developments are expected to influence the enterprise’s decisions to adopt and invest in new technologies till the end of 2021.
Key Market Trends
BFSI is Expected to be the Prominent Industry to Adopt Edge Computing Solutions
– The financial and banking industry is expected to show a significant adoption of edge computing solutions, owing to the increasing adoption of digital and mobile banking initiatives. Also, the adoption of blockchain technology in the industry and mobile payments are certain factors further fueling the demand for edge computing in the industry.
– Effortless and seamless digital payment methods with maximum security and processing speeds act as key elements for enhancing the digital banking experience. As a result, several banks are deploying payment apps and services compatible with smart mobile devices. For instance, Barclays Bank adopted several technological advancements by supporting payment through smartwatches, such as Apple Watch and Fitbit, through its bPay.
– Mobile applications and mobile payments are other great sources of demand for edge computing in the financial and banking industry. Increasing support from third-party applications and a wide choice of banking applications that engage several customers through loyalty management programs are increasing the mobile payment traffic in urban regions.
– Furthermore, widespread adoption of blockchain has considerable potential to drive the consumption of edge computing services. Since the blockchain technology required high computing, it is expected to exhibit the fastest adoption of edge computing technology in the industry. For instance, in August 2019, Tech Mahindra and the financial technology firm, Adjoint, collaborated to provide blockchain solutions for secure enterprise financial management and insurance services.
Asia-Pacific to Witness the Highest Growth Rate
– The market for edge computing in China is anticipated to benefit from the investments from telecoms to roll out new technologies. Owing to the rapid growth of mobile services and the increase of operation cost pressure, the telecom industry in the country has taken measures to improve user experience, increase profits, optimize network operation, and enhance resource utilization efficiency by introducing new technologies and products.
– The manufacturers in Japan are trying to deploy edge computing technologies at their facilities, in order to improve the production efficiency by utilizing IoT or IoT devices. Mitsubishi Electric Corporation and Fanuc Corporation, a machine tool maker, formed consortiums to develop products for edge computing and unify standards, thereby, making up for the shortcomings of cloud computing.
– Over the last few years, Australia witnessed increasing optimism around emerging technologies, as businesses based out of the country benefited from AI, edge computing, and IoT, owing to the potent mix of government advocacy, manufacturing roots, and R&D know-how.
– As part of the Digital India initiative, the Government of India planned to give IoT a push in the country. The government has allocated funds worth INR 7,000 crore for the development of 100 smart cities powered by IoT devices. The government intends to control traffic, efficiently use water and power, and collect data using IoT sensors for healthcare and other services. According to NASSCOM, the Indian IoT market is expected to reach USD 15 billion by 2020 and constitute 5% of the global market.
Competitive Landscape
The competitive rivalry in the edge computing market among the existing players is faintly high and increasing, considering the inflow of new entrants into the market. Currently, the market is dominated by cloud-based IoT vendors, such as Amazon, Microsoft, and Google. Companies, like GE, which have the expertise of delivering edge computing solutions across different industries, including aerospace or manufacturing, also have significant market positions. Acquisitions, partnerships with industry participants, and new product/service rollouts have been the key competitive strategies exhibited by the vendors in the market. Some of the key developments in the market are:
– March 2020 – Google Cloud and AT&T announced a collaboration to help enterprises take advantage of Google Cloud’s technologies and capabilities using AT&T network connectivity at the edge, including 5G. These edge computing solutions will be powered by AT&T’s network and will utilize Google Cloud’s core capabilities in Kubernetes, Artificial Intelligence (AI), and machine learning (ML). By bringing Google Cloud’s compute and capabilities to the edge, businesses can achieve the goal of proximity to the customers.?
– March 2020 – Microsoft announced the acquisition of Affirmed Networks, which is a startup that offers fully virtualized cloud-native mobile network solutions. Microsoft wants to integrate Affirmed Networks’ technology into Microsoft Azure to let the telecommunications industry deploy and maintain 5G networks via Azure Edge Zones, which is a newly developed solution based on edge computing.
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Artificial Intelligence
Cybersecurity veteran Simon Church Joins CyXcel as Chief Strategy Officer
LONDON, May 9, 2024 /PRNewswire/ — CyXcel, a leading cybersecurity business with operations in the UK and North America, announces the appointment of Simon Church as Chief Strategy Officer. A 35-year veteran of the technology industry, Church brings a wealth of cyber expertise and commercial development to the role. Church’s appointment solidifies CyXcel as a pioneering force in combining security, regulatory, and legal expertise for established companies and those expanding into new markets, ensuring protection and recovery of their critical business assets.
As Chief Strategy Officer, Church will spearhead CyXcel’s strategic initiatives to drive innovation, foster partnerships, and accelerate growth opportunities. His appointment underscores CyXcel’s commitment to fortifying its strategic offering and enhancing its position as a leader at the nexus of risk analysis, response management and incident resolution. His vast experience in go-to-market strategies and M&A will be instrumental in driving CyXcel’s growth and expansion initiatives.
Church has held executive leadership positions at market-leading cybersecurity and technology companies such as Maxive Cyber Security (acquired by Thales), Optiv, Vodafone, NTT Security, Verisign, and NetIQ. His experience includes strategic roles in identity management, networking, and managed services and he brings a strong track record of delivering commercial growth, including leading on commercial acquisitions.
In addition to his role at CyXcel, Church serves as Chair of Xalient, a UK-headquartered converged cyber, identity, and networking managed services company. He is also a Board member and strategic advisor to Redshift, as well as a Board member at beqom. Furthermore, Church serves on the Advisory Board of Glasswall, a UK-based security technology company.
Ed Lewis, CyXcel Co-Founder and Managing Partner commented:
“Simon’s unparalleled expertise and proven track record will be invaluable as we continue to innovate and deliver pioneering solutions to our clients worldwide. With Simon’s strategic leadership, we are poised to achieve new heights in our mission to safeguard enterprises and navigate the complex geopolitical, regulatory and legal implications of ever-evolving cyber threats.”
Simon Church said:
“I’m thrilled to be joining such an experienced and ambitious team and the CyXcel offer is unlike any I’ve ever seen. CyXcel has already established itself as a trusted partner in empowering organisational awareness and responsiveness to the financial, existential, and strategic complexities of global cyber threats. I look forward to delivering rapid growth around the world by developing and executing initiatives that provide unparalleled protection and value to our clients.”
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Artificial Intelligence
IBM Introduces New Microsoft Copilot Capabilities to Fuel AI-Powered Business Transformation
ARMONK, N.Y., May 9, 2024 /PRNewswire/ — IBM (NYSE: IBM) today announced the availability of IBM Copilot Runway, a new offering from IBM Consulting designed to help enterprises create, customize, deploy and manage copilots including Copilot for Microsoft 365. With the new offering, clients will be able to seamlessly integrate copilots’ generative AI into their organizations in order to enhance productivity and drive business success. IBM Consulting has also formed a dedicated practice of consultants with Microsoft copilot skills, credentials and expertise to guide clients on their AI transformation journey.
As part of the new offering, IBM will work with clients to build custom copilots that can be tailored to fit the needs of specific business scenarios and efficiently deployed to help reduce the time and effort often required for implementations. IBM will initially focus on helping clients across priority use cases, including customer and field service, employee experience, and procurement and finance – as well as specific industries, like financial services, retail and CPG, government, and supply chain. These use cases will include:
The Procurement and Finance Contract Copilot which assists specialists in extracting valuable insights from contracts.The Customer Service and Field Service Copilot which gives agents and technicians access to self-service options and a time-saving generative AI search.The Employee Experience Copilot which is designed to enhance employee engagement. IBM and Microsoft already serve clients across a variety of industries with a range of AI solutions and services. In fact, IBM Consulting worked with Virgin Money to develop and launch Redi, a conversational virtual assistant that helps credit card customers in the Virgin Money credit card app. Redi, powered by Virgin Money’s suite of Microsoft Copilots, is a testament to the power of partnership.
“Our customers tell us how much they enjoy interacting with Redi in the Credit Card app,” said Adam Paice, Head of Digital Proposition, Virgin Money. “Our partnership with IBM has helped us to get the most out of Microsoft Copilot to find a balance between innovation and control.”
IBM Consulting is also scaling its Microsoft copilot capabilities and capacity across its network of Global Innovation Centers on each continent. For example, these capabilities are being used to co-create solutions with clients at IBM Consulting’s new IBM-Microsoft Experience Zone in Bangalore, India – a first of its kind in our collaboration.
At the Experience Zone, clients from around the world and across industries are working together with IBM Consulting in various technology stations to co-ideate and co-create generative AI-powered solutions – leveraging Microsoft technologies, including Copilot. Later this year, IBM Consulting plans to open additional IBM-Microsoft Experience Zones in Romania, U.K. and U.S., where clients in these regions can explore the power of Copilot. In addition IBM and Microsoft hosted a second client-focused hackathon with 800 participants, including clients and experts to build solutions leveraging Microsoft copilot – with winners to be announced this quarter.
“As IBM and Microsoft strengthen our partnership, we’re poised to empower more clients with Microsoft Copilot, supercharging productivity and boosting creativity through the power of generative AI,” said John Granger, Senior Vice President, IBM Consulting. “Our dedicated IBM Consulting Microsoft practice, along with Copilot-focused Experience Zones around the world, help us meet clients where they are and bring them the right generative-AI-enabled solutions for their businesses.”
“Clients need the right partners and technology to scale AI responsibly across the enterprise,” said Dinis Couto, General Manager of Global Partner Solutions for Microsoft. “With IBM’s dedicated group of Microsoft Copilot experts, we’re confident we can help more clients unlock the full potential of generative AI for their businesses.”
IBM purchased Copilot for Microsoft 365 for its practitioners. To continue building on the partnership, IBM has also invested in growing its team of experts and capabilities through acquisitions, like Neudesic and Bluetab.
IBM Consulting practitioners work with a range of leading AI software technologies and multiple models from both IBM and its strategic partners like Microsoft. IBM data and AI consultants typically employ multiple models, each applied to a specific use case. Different models can be optimized for specific tasks, enhancing performance and efficiency.
Microsoft is a trademark of Microsoft Corporation in the United States, other countries, or both.
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service.
Visit www.ibm.com for more information.
Media Contact:IBMCarolyn [email protected]
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Artificial Intelligence
Inceptio-Powered Autonomous Trucks Surpass 100 Million Kilometers in Safe Commercial Operations
Major Milestone Advances Autonomous Heavy-Duty Truck Commercialization
SHANGHAI, May 9, 2024 /PRNewswire/ — Inceptio Technology (“Inceptio,” or the “Company”), an industry leading developer of autonomous driving technologies for heavy-duty trucks, today announced that heavy-duty trucks powered by the Inceptio Autonomous Driving System and its Truck Navigate-on-Autopilot (T-NOA) capabilities have surpassed the significant milestone of 100 million kilometers in safe commercial operations, reinforcing Inceptio’s global leadership in the commercialization of autonomous trucks.
This achievement underscores how L3 and L2+ autonomous heavy-duty trucks have been successfully deployed across the line-haul logistics sector, including express delivery, less-than-truckload (LTL) transportation, as well as contract logistics. This also reflects the significant value that autonomous trucks offer logistics operators.
Accelerating the Adoption of Autonomous Trucks Across the Line-Haul Logistics Sector
Inceptio-powered trucks surpassed 50 million kilometers of safe commercial operations in August 2023. Building on this success, Inceptio rapidly expanded the number of compatible truck models and surpassed the 100-million-kilometer mark by the end of April 2024.
Inceptio’s Autonomous Driving System covers 83% of China’s national highways connecting 7 major economic zones. Over the course of the 100 million kilometers, a total of 1,864 drivers safely used Inceptio-powered L3 and L2+ trucks in their daily operations.
Current customers include all the top logistics companies in China such as ZTO Express (NYSE: ZTO and HKEX: 2057), YTO Express (HKEX: 6123), STO Express (SZSE: 002468), JD Logistics (HKEX: 2618), and SF Express (SHE: 002352). Inceptio has also established an extensive footprint across the contract logistics segment including cold chain, automotive, beverages, and fast-moving consumer goods among many others, serving global brands like Budweiser and Nestlé. Inceptio’s autonomous driving technology caters to a diverse user base—from big logistics companies to small fleets and individual operators.
Inceptio has partnered with several leading Chinese truck manufacturers to pre-load mass produced trucks with the Inceptio Autonomous Driving System. These partnerships have expanded the number of trucks Inceptio powers and include popular models from Dongfeng, Sinotruk, Foton and Liuqi that are available in both 4×2 and 6×4 axle configurations to meet the diverse needs of the line-haul logistics sector.
Paving the Way for Greater Commercialization with Safer, More Efficient, and Profitable Operations
Over the course of 100 million kilometers, Inceptio has demonstrated how its autonomous driving technology and its T-NOA capabilities are paving the way for greater commercial deployment across the line-haul logistics with safer, more efficient, and profitable operations.
The majority of the routes large express delivery companies in China use exceed 500 kilometers in length. Two drivers are commonly assigned to each traditional truck on these routes and take shifts driving in order to minimize fatigue and ensure safety when meeting tight shipping schedules. Inceptio’s solution makes driving much less physically and mentally exhausting as it handles more than 90% of the journey. Express delivery companies have been able to significantly reduce the number of drivers per truck and labor costs on these same routes as a result. On routes ranging from 500 to 1,200 kilometers, Inceptio has realized a direct shift from two drivers per truck to one, resulting in a significant 40% to 50% reduction in labor costs. On routes that exceed 1,200 kilometers where an autonomous truck relay model has been deployed, a traditional assignment of 6-8 drivers per three trucks has been reduced to 5. Likewise, a traditional assignment of 8-10 drivers per 4 trucks has been reduced to 6, resulting in a substantial decrease in labor costs and improved driver satisfaction.
The benefits are equally strong for contract logistic companies, both large and small. Huatai Logistics for example, a contract logistics company specializing in automotive parts transport on routes that average 1,500 kilometers, has seen its driver-to-truck ratio decrease from two to one by using Inceptio-powered trucks. Combined with a reduction of 3-5 liters in fuel consumption per 100 kilometers, total cost of ownership per kilometer decreased by 7-15%. The stellar safety record and enhanced driving comfort offered by autonomous trucks improved fleet-attendance rates significantly and increased monthly kilometers per truck by as much as 10%.
Some individual operators have also seen increases of 10-20% in monthly kilometers per truck and 2,500-5,500 RMB in monthly net income due to the fundamental improvement of safety and driving comfort offered by Inceptio-powered autonomous trucks. The fuel-saving benefits of autonomous trucks are particularly attractive for individual operators.
Leveraging Data Assets to Enhance Inceptio’s Autonomous Driving Technology
Inceptio leverages its powerful, data-driven R&D system to rapidly iterate and enhance its autonomous driving technology. This system, which incorporates accurate and efficient data capturing, automated cloud processing, advanced scenario mining, and automatic annotation, allows Inceptio to continuously refine its industry-leading T-NOA algorithm in real-time. This focus on real-world data is a key driver of Inceptio’s competitive edge in the autonomous driving technology landscape.
Julian Ma, founder and CEO of Inceptio Technology, commented, “Inceptio’s autonomous driving technology and its T-NOA capabilities are making significant progress in their commercialization, allowing us to rapidly surpass the 100-million-kilometer milestone after hitting 50 million kilometers only eight months ago. The impact our technology is having on the logistics industry is profound. The commercial deployment of Inceptio-powered autonomous trucks across the line-haul logistics sector is exciting, but what’s truly inspiring is the creativity and innovation our customers bring to the table. This user-driven approach is pushing the boundaries of how these autonomous trucks are used, opening up new ways to deploy our technology. The more data we gather, the faster we will be able to enhance our algorithms and improve our full-stack solution. We will continue working closely with our truck OEM partners to offer even greater safety, efficiency, and profitability to logistics customers.”
About Inceptio Technology
Inceptio Technology is an industry leading developer of autonomous driving technologies for heavy-duty trucks. Its flagship technology is the Inceptio Autonomous Driving System, a proprietary full-stack solution. Inceptio partnered with leading OEMs to roll out the industry’s first mass-produced L3 autonomous trucks in late 2021. These trucks are operated nationwide in China by customers across the line-haul logistics sector including express delivery, less-than-truckload (LTL) transportation, and contract logistics. Inceptio is at the cutting edge of developing fully driverless trucks. In 2022 it became the first company in China to receive a public road-testing permit for driverless autonomous heavy-duty trucks.
For more information on Inceptio Technology, visit https://en.inceptio.ai/
View original content:https://www.prnewswire.co.uk/news-releases/inceptio-powered-autonomous-trucks-surpass-100-million-kilometers-in-safe-commercial-operations-302141157.html
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