Latest news with #Cisco
Fast Company
14 hours ago
- Business
- Fast Company
How Cisco has been quietly retooling for the AI revolution
Welcome to AI Decoded, Fast Company 's weekly newsletter that breaks down the most important news in the world of AI. You can sign up to receive this newsletter every week here. Exclusive Interview With Cisco's Jeetu Patel Data centers are popping up all over the world to support the quickly growing demand for all kinds of AI apps and services. Cisco, of course, is no stranger to the data center, and it's been working hard over the past few years to make itself a vital part of the AI technology stack. I asked Cisco EVP and chief product officer Jeetu Patel how he sees the current situation in generative AI, and about how his company fits into the picture. The interview has been edited for length and clarity. Can you give me your 30,000-foot view of the transition to generative AI? We're now moving from this mode of chatbots intelligently answering questions for us to us now moving into a mode where agents are conducting tasks and jobs almost fully autonomously on behalf of humans. As that happens, there's going to be an augmentation of the capacity of billions and billions of agents that'll actually get added on over the course of the next few years. But the requirements that you have around low-latency, high-performance, high-energy-efficiency infrastructure, as well as around safety and security so that the user can establish trust with these AI systems, is going to have to be fully reimagined. Can you describe in simple terms how Cisco plays in the AI tech stack? At the very baseline, we build our own silicon and ASICs [application-specific integrated circuits] for the network itself. I think we're the only non-Nvidia silicon provider that is part of Nvidia's reference architecture where our networking is tied with their GPUs and we actually make sure that those work together in a reference architecture that an enterprise can deploy. We then have our own systems, which are the physical boxes for the networks and the servers on the compute side, and the optics and the optical systems that actually can do ultra-long haul data center interconnect, as well as interconnect between clusters. We then provide the safety and security platform that's needed to secure AI as well—we're one of the largest security players in the market. We provide a data platform in Splunk. We're actually building our own bespoke custom models for security and networking. You mentioned latency as a key challenge. How critical is response time for AI applications? If it takes three seconds for an AI voice agent to respond to you, you know it's a robot and you don't want to talk to it. But if you do it within 500 milliseconds, you have a very different kind of behavior from the human. In our user testing, outside of efficacy, latency is one of the most important things. It has to be interruptible and it has to have enough training on EQ [emotional intelligence] and sentiment analysis, so that if you're sounding annoyed, it doesn't say, 'How's the weather today?' How do you handle the security challenges with multiple AI models? Most of these models are putting their own safety and security guardrails in the models. But models can get tricked through jailbreaking techniques. We've built a product that not only does the visibility of what data is flowing through the model and when the model is getting fine-tuned, so you can do a continuous validation. . . . We validate the model within a matter of minutes through an algorithmic red-teaming exercise rather than it taking weeks or months for companies to validate the model. We jailbroke DeepSeek within 48 hours. We can take that model and then create runtime enforcement guardrails for every application developer. The end outcome is that no developer has to rebuild the security stack every time they build an application, and no model provider needs to be responsible for every single way that a model can be jailbroken. So every app developer building on top of DeepSeek will benefit from this pool of knowledge that Cisco knows about how to jailbreak the model and how to protect against that? That's exactly right. We believe that you need a neutral party that provides a common substrate of security for every app developer, every model builder, every agent developer, so that the developer can innovate fearlessly. Are AI companies putting big data centers in the Middle East because they have plenty of power and room to grow, or is it to better service customers in that region? It's literally both. You don't have enough power to fuel all the demand for AI right now. The amount of usage that OpenAI is getting right now is literally like breaking the internet. They came up with $20 a user—they're losing money on $20 a user, from what the industry says. So they added a plan for $200 a user. My guess is they're going to lose money at $200 a user. They have a plan for $2,000 a user. They will lose money for $2,000 a user. Tha''s not a bad thing. It tells you that there is intrinsic demand. The demand for data centers is going to be insatiable for a very long time. As models get more efficient over time, you'll have small models with very large context windows—you might have a million-token context window, very small model, very small data set with a very small footprint to be able to get the inference done. But we're not quite there yet. Is it because of inference costs that they can't make money? What's the big cost driver? Right now it's the usage and the cost of GPUs. It's expensive. But the beauty about this is it's the wrong thing to focus on to get a company to profitability at this stage. What they should focus on is the acquisition of as many users as possible so that they can have the daily workflow fusion of ChatGPT for both consumers and enterprises. Once that happens, they can figure out a way to optimize later. But right now, starting to optimize would be putting cycles in the wrong thing.
Yahoo
a day ago
- Business
- Yahoo
Zero Trust Network Access (ZTNA) Industry Report 2025: Growth Trends and Investment Opportunities Through 2029 & 2034 Featuring IBM, Cisco Systems, Palo Alto Networks, and Other Leading Players
Rise in remote work and cyber threats are key drivers. Major players include IBM, Cisco, and Palo Alto Networks. Zero Trust Network Access Market Dublin, June 19, 2025 (GLOBE NEWSWIRE) -- "Zero Trust Network Access Market Report 2025" has been added to Zero Trust Network Access Market report delivers an in-depth analysis of the market's key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market. The zero trust network access market size has grown exponentially in recent years. It will grow from $41.28 billion in 2024 to $52.18 billion in 2025 at a compound annual growth rate (CAGR) of 26.4%. The expansion during the historic period can be linked to the increasing use of mobile devices, the surge in digital transformation efforts, the growing number of cyber threats, the rise of remote work, and the heightened dependence on mobile zero trust network access market size is expected to see exponential growth in the next few years. It will grow to $131.97 billion in 2029 at a compound annual growth rate (CAGR) of 26.1%. The growth during the forecast period can be attributed to the rising frequency of targeted cyberattacks, the increasing adoption of cloud services, the growing reliance on mobile applications, the expanding use of telehealth solutions, and the rising number of data breaches. Key trends in the forecast period include the adoption of cloud technology and IoT devices, advancements in technology, emerging threats in 5G networks, the integration of artificial intelligence (AI) and machine learning, and continuous technological increasing trend of remote work is expected to drive the growth of the zero-trust network access market in the coming years. For example, in September 2023, the Australian Institute of Health and Welfare (AIHW), an Australian government agency, reported that in April 2022, 46% of individuals had worked from home at least once per week in the previous four weeks, marking the highest level recorded since the pandemic. As a result, the expanding remote work trend is fueling the growth of the zero-trust network access companies in the zero-trust network access market are incorporating innovative technologies, such as cloud scalability, to strengthen security, optimize management, and enhance flexibility in safeguarding digital environments. For instance, in December 2024, 42Gears Mobility Systems Private Limited, a US-based mobile services company, introduced SureAccess, an advanced zero-trust network access solution. SureAccess enhances enterprise security by verifying access attempts and permitting only authenticated users and trusted devices to connect to resources. It features WireGuard encryption, split tunneling, advanced authentication, and scalable cloud support to improve secure remote January 2024, SonicWall Inc., a US-based cybersecurity company, acquired Banyan Security Inc. for an undisclosed amount. Through this acquisition, SonicWall Inc. seeks to enhance its cloud security offerings and expand its secure access service edge (SASE) capabilities with zero-trust security tailored for modern work environments. Banyan Security Inc. is a US-based cybersecurity company specializing in zero-trust network access (ZTNA) America was the largest region in the zero trust network access market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in zero trust network access report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the zero trust network access market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain. Report Scope Markets Covered:1) by Component: Services; Solutions2) by Authentication Mechanism: Multi-Factor Authentication; Single-Factor Authentication3) by Deployment Platform: Applications; Endpoint Devices; Network Infrastructure4) by Organization Size: Large Enterprises; Small and Medium Enterprises (SMEs)5) by Industry Vertical: Banking, Financial Services, and Insurance (BFSI); Energy and Utilities; Government and Defense; Healthcare and Life Sciences; Retail and Ecommerce; Telecom and Information TechnologySubsegments:1) Services: Consulting and Advisory Services; Integration and Deployment Services; Support and Maintenance Services; Managed Security Services2) Solutions: Software-Defined Perimeter (SDP); Identity and Access Management (IAM); Endpoint Security Solutions; Network Security SolutionsKey Companies Profiled: International Business Machines Corporation; Cisco Systems Inc.; Palo Alto Networks Inc.; Fortinet Inc.; Citrix Systems Series: Five years historic and ten years Ratios of market size and growth to related markets, GDP proportions, expenditure per Segmentation: Country and regional historic and forecast data, market share of competitors, market Attributes Report Attribute Details No. of Pages 175 Forecast Period 2025-2029 Estimated Market Value (USD) in 2025 $52.18 Billion Forecasted Market Value (USD) by 2029 $131.97 Billion Compound Annual Growth Rate 26.1% Regions Covered Global The companies featured in this Zero Trust Network Access market report include: International Business Machines Corporation Cisco Systems Inc. Palo Alto Networks Inc. Fortinet Inc. Citrix Systems Inc. Check Point Software Technologies India Pvt. Ltd. Tata Communications Ltd. Okta Inc. Zscaler Softech India Private Limited Cloudflare Inc. Cyxtera Technologies Inc. Forcepoint LLC CyberArk Software Ltd. McAfee LLC SonicWall Inc. Cato Networks Ltd. Appgate Cybersecurity Inc. Menlo Security Inc. Illumio Inc. Sophos Limited Netskope Inc. KEMP Technologies Inc. Twingate Inc. For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment Zero Trust Network Access Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Sign in to access your portfolio
Forbes
a day ago
- Business
- Forbes
Cisco Charts Its Agentic AI Journey At Cisco Live U.S. 2025
Cisco CEO Chuck Robbins delivering the opening-day keynote at Cisco Live 2025 At last week's Cisco Live event in San Diego, the IT and OT infrastructure giant showcased the development of deep agentic AI integrations across its broad portfolio of networking, cybersecurity and observability offerings — with a renewed focus on customer experience. I have had the opportunity to participate in many of the company's past events around the world, but this year's conference could be considered historic given the payload of substantive announcements. Let's dig into what I found most important — and how Cisco might improve on what it's already doing to further its ambitions. (Note: Cisco is an advisory client of my firm, Moor Insights & Strategy.) Cisco Live's mainstage sessions across two days focused on two things: (1) a dizzying number of new solution announcements, and (2) improvements in its customer experience journey. Not surprisingly, day one outlined Cisco's continued progression with modern AI into agentic functionality, from both connectivity and security perspectives. Jeetu Patel, the company's chief product officer who was recently promoted to president, articulated a pragmatic approach that focuses on AI-ready datacenters, future-proofed workplaces and digital resilience created by infusing security controls into the company's network infrastructure portfolio. I was particularly struck by how he contrasted the demands of generative versus agentic AI inferencing, highlighting the need to future-proof connectivity and compute infrastructure to support the demands of agentic persistent workloads. His illustration also demonstrated the need for Cisco to double down on supporting these workloads, something that I will come back to as an opportunity for improvement. On day two, executive vice president Liz Centoni, who took the reins of the company's overall customer experience efforts a year ago, outlined a completely retooled strategy. A new approach was desperately needed, given that Cisco's initial launch of the CX was more programmatic and decoupled technically from its infrastructure solutions, making it complex to navigate for both its channel partner sellers and its customers. What I like about the new effort is tighter product and solution integration supported by an AI adoption agent and a purpose-built large language model. It is a powerful combination, leveraging the company's vast knowledge base with 40 years of issue and remediation experience. Cisco unquestionably possesses the largest data lake in its market, one that has the potential to speed deployment and resolve ever-present issues such as infrastructure misconfigurations quickly and easily. Centoni's 'drop the mic' moment for me was the stated goal to make every customer feel like Cisco's only customer. That is an audacious statement by any measure, and I believe that Cisco has the potential to deliver on its promise. Given the vast number of announcements at Cisco Live this year, it might be difficult to pick one that stands above all the rest. However, the company's new AgenticOps platform landed for me as the most significant for two reasons. First, it includes what I consider to be a beautifully executed management console, dubbed AI Canvas. AI Canvas incorporates an intuitive user interface that integrates a generative AI-powered natural language tool that allows users to customize views with dynamically generated widgets. In doing so, AI Canvas provides a dynamic and real-time view into the inner workings of a customer's infrastructure expanse — providing network assurance, security observability and remediation functionality supported by Cisco's Splunk, ThousandEyes, AppDynamics, Duo Security and other solution offerings. Second, a newly developed Deep Network Model aims to feed AI Canvas with data pulled from Cisco's knowledge base. Combined, they have the potential to dramatically simplify network and security operations with deep observability, exceptional visualization and robust collaboration features to remediate network issues and improve security posture and cyber defense. I also had the opportunity to spend time with senior vice president DJ Sampath, who leads Cisco's AI Software and Platform organization. What I find noteworthy about his team's efforts is the rapid development cycle that brought AgenticOps to market so quickly — in less than one year. As a former product marketer, I can tell you that is a significant achievement by any measure, and it's one that continues to feed Cisco's innovation engine under Patel's leadership. From my perspective, the newly announced AgenticOps platform could serve as the tip of the spear to facilitate the company's deeper infrastructure sales penetration into its competitor install bases. Moor Insights & Strategy founder and chief analyst Patrick Moorhead and The Futurum Group's chief executive Daniel Newman dive deeper with Sampath in this Six Five Media On The Road conversation from the event. A handful of other announcements are worth highlighting: I have highlighted only a handful of the networking and security announcements at the conference. With that said, I really like what Cisco is doing to drive to a platform approach at scale — making it easier for channel partners to sell and deploy the company's numerous new offerings and for customers to consume them. As previously mentioned, Cisco's announcement payload was massive at Cisco Live. Consequently, customers and partners may have a tough time digesting all of this. The risk is that some of these new capabilities may be lost in the mix, and it's going to be a challenge for Cisco to prioritize which elements are most important, whether for overall product marketing or in go-to-market conversations with individual customers. Furthermore, I felt that Cisco's compute strategy fell flat during Patel's keynote. A handful of Cisco executives I spoke to acknowledged the need to strengthen the messaging, especially given the company's desire to deliver full-stack, AI-ready infrastructure through its AI PODs platform, which marries compute and networking to address AI modeling and ML operations. However, I will defer to my Moor Insights & Strategy colleague Matt Kimball to explore this more deeply, given his coverage of datacenter compute. Despite some of those short-term challenges, I like what the company is doing to execute against a platform strategy that addresses the challenges organizations face in deploying AI-ready infrastructure to transform network and security operations. Historically, through Cisco's parallel organic roadmap and acquisition efforts, it has duplicated functionality — especially from an automation perspective. The good news is that its rapid adoption of agentic AI is addressing its myriad automation tools, and in the process is simplifying automation capabilities though more unified product development and go-to-market efforts. I liken a complete and modern AI infrastructure stack to a three-legged stool providing the requisite compute, networking and security functionality. In my mind, it also includes storage as table stakes, given the demands placed on unifying data to train large and small language models. The recent announcements at Cisco Live U.S. address all of these elements to help enterprises unlock the transformative potential of generative and agentic AI applications and workloads securely and at scale.
Business Insider
a day ago
- Business
- Business Insider
CEOs haven't felt this gloomy about the economy since the pandemic
The Business Roundtable CEO index dropped 15 points in the second quarter, its lowest since 2020. The decline was driven by plans for reduced spending, sales expectations, and employment. CEOs cited trade policy uncertainty as the driving reason behind a declining index. CEOs aren't feeling too hot about the economy. The Business Roundtable's CEO Economic Outlook Index dropped by 15 points in the second quarter to 69, marking its lowest level since 2020 and well below its historic average of 83. A total of 169 CEOs participated in the survey, which was conducted between June 2 and June 13. "The quarter's survey results signal that Business Roundtable CEOs are approaching the next six months with caution," Cisco CEO and Business Roundtable chair Chuck Robbins said in a release accompanying the results. The survey assesses three categories: capital spending plans, hiring intentions, and sales expectations. Hiring plans saw the steepest decline this quarter, dropping 19 points. Capital investment plans followed with a 15-point decrease, and sales expectations fell by 11 points. The survey indicates that 41% of CEOs surveyed expect their company to decrease employment in the next six months, compared to 29% last quarter. The percentage of CEOs surveyed who expected hiring to increase in the next six months also dropped quarter over quarter, from 33% to 26%. It's the latest indication of a challenging job market, as many companies have made moves to flatten their org charts and slow hiring. A number of major companies have conducted layoffs this year, including Meta, Microsoft, BlackRock, and Intel. Other companies, like Salesforce, have announced a pause on hiring engineers. Business Roundtable CEO Joshua Bolten said the quarterly decline was driven by "broad-based uncertainty," stemming from an "unpredictable trade policy environment." The CEO said expanding tax reform is important but will not solve the issue on its own. "American businesses also need the Administration rapidly to secure deals with our trading partners that open markets, remove harmful tariffs and provide certainty for investment," Bolten said. President Donald Trump's tariff threats have taken consumers and businesses on a roller coaster ride over the last few months. While some tariffs were enacted in April, the bulk of new tariffs have been paused until July to allow time for negotiations. The ups and downs have resulted in sharp stock market swings, led some companies to make tweaks to their supply chains, and impacted retail and food service sales as well as the outlook on home sales. Uncertainty around tariffs has made long-term planning difficult for many companies. The Federal Reserve's Beige Book, released this month, indicated that half of the districts saw "slight to moderate" declines in economic activity, while three reported no growth at all. The Trump administration has said that tariff policies are in the best interest of the US, even if they create some short-term pain. While the report paints a largely gloomy picture of CEO sentiment, it's not at levels previously seen during the last recession. The Business Roundtable states that "readings at 50 or above indicate economic expansion," while readings below indicate a recession. In the second quarter of 2020, the economic outlook plummeted to an overall Index of 34.3, and quickly rebounded to 64 in the next quarter. However, the survey adds to a growing chorus of CEOs who are voicing concern for the near future as they navigate a choppy economic environment.
Yahoo
2 days ago
- Business
- Yahoo
$36.49 Bn Smart Railways Market - Global Forecast to 2030: Cloud and Edge Computing Revolutionizing Management, Training and Maintenance Services Segment to Witness Highest Growth
The smart railways market, valued at USD 36.49 billion in 2025, is projected to soar to USD 54.31 billion by 2030, reflecting a CAGR of 8.3%. Powered by cloud and edge computing, these technologies enhance real-time decision-making and data management for rail operators, crucial for interconnected networks. As governments push for digital infrastructure, the training, support, and maintenance services sector is poised for significant growth. The multimedia information and entertainment solutions segment is anticipated to dominate, driven by passengers' rising information and entertainment needs. The Asia Pacific region leads in growth, spurred by technological investments, while key players like Alstom and Cisco drive market expansion. Smart Railways Market Dublin, June 18, 2025 (GLOBE NEWSWIRE) -- The "Smart Railways Market by Offering Region - Global Forecast to 2030" has been added to offering. The smart railways market is anticipated to grow from USD 36.49 billion in 2025 to USD 54.31 billion by 2030, at a CAGR of 8.3% A key driver of this growth is the shift towards cloud and edge computing, which revolutionizes railway network management. These technologies allow real-time data processing and decision-making by bringing operations closer to data sources such as signals and locomotive systems. Cloud computing enhances data management and inter-operator coordination, vital for interconnected or cross-border rail networks. Meanwhile, edge computing reduces latency in critical applications like automatic signaling and emergency responses, thereby boosting scalability, cybersecurity, and data analytics capabilities. The increasing demand for secure and efficient travel, coupled with government initiatives for smart transportation infrastructure, positions cloud and edge computing at the core of digital rail strategies. Vendors are rolling out platform-as-a-service (PaaS) and AI-driven edge solutions, targeting rail operators to spearhead digital transformation in the sector. Training, Support, and Maintenance Services Segment Will Witness Highest Growth Training and support services are proven to enhance the implementation and adoption of smart railway solutions. Covering customer support, repairs, and upgrades, these services are essential for maximizing the use of smart railway technologies. Proper employee training leads to better productivity and idea consolidation, fostering increased adoption and optimal strategy execution. Comprehensive support and maintenance offerings improve performance while reducing capital and operational expenses. These services ensure seamless smart railway solution delivery and inter-vendor support, benefiting government and railway authorities by optimizing their investments. Multimedia Information and Entertainment Solutions to Dominate Market Size Passenger demand for comprehensive information and entertainment during train travel is propelling the growth of multimedia information and entertainment solutions. Advanced software and applications fulfill this demand, offering digital media content management and interactive communication systems for a more enjoyable travel experience. Growth in this segment is catalyzed by the rising demand for high-quality digital media and real-time travel updates. Asia Pacific to Record Highest Growth Rate In the Asia Pacific, the smart railway market is set to expand rapidly due to significant investments in technology by emerging economies. Countries like China, India, and South Korea are leading these efforts with substantial funds allocated towards modernizing rail infrastructures to meet increasing transportation needs. Supported by government digitization initiatives, high freight traffic, and a favorable regulatory environment, the region is witnessing rapid market expansion. Notably, investments in autonomous trains and AI-powered traffic systems in Japan and China are reinforcing the market's growth trajectory in Asia Pacific. Market Participants Key players in the smart railways market include Alstom, Cisco, Wabtec, ABB, IBM, Hitachi, Huawei, Indra Sistemas, Siemens, Honeywell, Thales, Advantech, Fujitsu, Toshiba, Alcatel-Lucent Enterprise, Moxa, EKE-Electronics, Televic, Uptake, Eurotech, Tego, KONUX, Aitek S.p.A, Assetic, Machines With Vision, Delphisonic, Passio Technologies, CloudMoyo, Conduent, RailTel, and Chemito. These companies are leveraging strategies such as partnerships, product launches, and acquisitions to enhance their market footprint. The smart railways market report covers segment growth potential, including solutions (e.g., multimedia information and entertainment, freight management systems), and services such as professional consulting and managed services. Regional analysis spans North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America. Key Insights Drivers: Efficiency needs in rail operations, government initiatives, and IoT adoption enhancing customer experience Restraints: High initial deployment costs Opportunities: Growth in cloud-based services and advanced infrastructure demand Challenges: Complex system integration with legacy infrastructure Key Attributes: Report Attribute Details No. of Pages 309 Forecast Period 2025 - 2030 Estimated Market Value (USD) in 2025 $36.49 Billion Forecasted Market Value (USD) by 2030 $54.31 Billion Compound Annual Growth Rate 8.3% Regions Covered Global Market Dynamics Drivers Rise in Need for Efficiency in Rail Operations Rapid Urbanization Results in Increased Need for Efficient Railway Systems Government Initiatives and Increased Number of Public-Private Partnership Projects in Rail Industry Adoption of IoT and Other Automation Technologies for Process Optimization Technological Advancements Targeted Toward Enhancement of Customer Experience Restraints High Initial Cost of Deployment Opportunities Increased Globalization and Need for Advanced Transportation Infrastructure Rise in Demand for Cloud-based Services Challenges Integration of Advanced and Complex Systems with Legacy Infrastructure Disruption in Logistics and Supply Chain of IoT Devices Data Security and Privacy Issues Related to IoT Devices Case Study Analysis Case Study 1: Luxembourg Railways Equipped 34 New Coradia Trains with Alstom's Automatic Train Operation System Case Study 2: Vtg Rail Europe Collaborated with Siemens to Innovate Rail Freight Transport Case Study 3: Uptake Automated Maintenance Work Order of a North American Freight Railway Company Case Study 4: Thales Provided Train-To-Ground Broadband Data Communication Solution to Brescia Metro Case Study 5: Comboios De Portugal Implemented Solutions by Fujitsu to Innovate Its Ticketing Infrastructure Case Study 6: Siemens Provided Maintenance Services to Govia Thameslink Railway Case Study 7: Assetic Helped Sydney Trains Visualize Rail Assets for Optimized Asset Management Company Profiles Alstom Cisco Hitachi Wabtec Siemens IBM Huawei Indra Sistemas Honeywell ABB Advantech Fujitsu Toshiba Moxa Televic Alcatel-Lucent Enterprise Conduent Eke-Electronics Aitek S.P.A. Uptake Eurotech Tego Konux Assetic Machines with Vision Delphisonic Passio Technologies Cloudmoyo Chemito Railtel For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment Smart Railways Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Sign in to access your portfolio
