Daily Archives: October 5, 2021

In the modern era, cloud computing is as standard as an Excel spreadsheet in many industries. However, when it comes to truly making the most of the technology, there is plenty of room for growth in aviation. Nonetheless, those behind the digital systems of this market have been making great strides in this field and are recognizing the advantages to be had for airlines and airports to ramp up cloud usage across the globe.

Several aviation sectors have put cloud-based systems to good use. For instance, cloud computing has been helping carriers launch routes more swiftly. Additionally, these systems have helped to make general passenger processes more efficient.

Regardless, it has notably been the larger global hubs that have progressed the most with cloud technology. However, SITA (Socit Internationale de Tlcommunications Aronautiques), the leading specialist in air transport communications and information technology, highlights that small and medium-sized airports have the same needs as the powerhouses in the current climate.

Both regional and international passengers require the same digital experience and related benefits at the airport. Moreover, the expectations of the airline are becoming increasingly higher when it comes to digitalization. Its also important to note the needs of aviation partners such as service and travel partners. As a result, the utilization of cloud technology is being scaled up across the board.

The maturation of cloud processes has allowed organizations to implement modern systems affordably and securely. Airports can deploy shared common-use approaches reasonably while cutting down on space, maintenance, and infrastructure. Departments such as check-in, bag drop, and off-airport processing are making use of this technology.

Sergio Colella, SITA President Europe, spoke with Simple Flying about the plethora of solutions available to airports to help them adapt to ever-changing conditions. Ultimately, while airports previously primarily focused on the security, cost, and speed benefits, the pandemic brought new requirements to the industry and is now catalyzing the adoption of cloud computing.

COVID has accelerated an existing trend towards automation of the passenger journey, where your mobile is your remote control for travel and your face acts as your boarding card. Smart Path, together with SITA Flex, enable that experience. SITA Smart Path is a suite of integrated biometric and cloud-enabled solutions designed to enable a low-touch airport experience for greater efficiency and improved passenger satisfaction, allowing passengers to interact with all airport touchpoints via their mobile devices, Colella told Simple Flying.

For example, Rome Fiumicino Airport uses our Smart Path technology and allows you to board using your biometric. At Beijing Capital International Airport, SITA Smart Path significantly speeds up passenger processing (e.g., 400+ passengers can board an Airbus A380 in less than 20 minutes). Smart Path also allows passengers to scan their face rather than fumble for their boarding card when doing duty-free shopping.

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The advantages of cloud tech can be found across the wider aviation spectrum. Both airlines and passengers can benefit from these solutions on several levels.

Modern platforms enable real-time, reliable collaboration at scale in a cloud-based environment. As a result, the aviation industry is innovating to create new ways of working together around the world. It is evolving present solutions and infrastructure in a cost-effective manner.

The market is embracing cloud and the re-use of it. This technology has the ability to easily integrate into current environments. It can also be retrofitted and future-proofed while becoming more agile to manage increased volatility, using shared services, on-demand.

SITA notes that its cloud platforms meet the requirements for operations at the airport and for the aircraft to be more price-sensitive, responsive, and resilient. This factor enables the agility to adapt quickly to the volatility caused by demand fluctuations.

Overall, there is a range of solutions that SITA has introduced to help airports adapt. With safety and security the focal point of operations in the current era, stakeholders in the aviation industry will undoubtedly be keen to keep the momentum going with cloud utilization.

The likes of Air New Zealand are betting big on cloud tech, while Etihad has shared praise for the fields capabilities to improve the passenger experience. All in all, cloud computing will combine well with broader initiatives such as biometrics and mobile applications to help airports and airlines serve passengers smoothly in this crucial stage of recovery.

What are your thoughts about the aviation industrys deployment of cloud technology? What do you make of the prospects of these systems across airports? Let us know what you think of the initiatives in place in the comment section.

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How Cloud Technology Will Help Airports Adapt To The New Climate - Simple Flying

Cloud technology enables organizations to respond instantly to changing market conditions, using data and applied analytics to achieve customer experience and operational productivity advantages for banks and credit unions seeking greater business agility.

Fremont, CA: Traditional and non-traditional banking competitors are responding to market expectations by lowering the friction of interaction with modern infrastructure. New cloud solutions use data and analytics to improve digital customer experiences, back-office efficiency, risk reduction, and innovation. Banks and credit unions can no longer postpone their migration to the cloud.

Now more than ever, financial institutions must leverage modern technology to provide better customer experiences at a lower cost and in real-time. This necessitates the collection and processing of multiple data sources, as well as the modernization of legacy systems and obsolete operating models. Traditional financial institutions will be ill-equipped to compete with more responsive and innovative competitors unless their infrastructure is improved.

Benefits of Cloud Computing:

More Customer Insights: Customer data contains insights that can only be discovered through advanced analytics. Real-time data analysis can lay the groundwork for a level of personalization and proactive engagement across all channels that would otherwise be impossible with legacy infrastructure. A bank or credit union can understand individual customer behavior and trigger ideal actions that engage, drive conversion, and loyalty with instant analysis.

Improved Efficiency: Many financial institutions struggle to automate, streamline, and connect back-office processes that influence customer experiences. Cloud technology has the potential to bring together disparate data and operational systems that have previously existed in silos and hampered efficiency. This can redirect time spent looking for insights to more productive and impactful analysis and decision making.

Improved Agility: Cloud technology enables organizations to respond instantly to changing market conditions, using data and applied analytics to achieve customer experience and operational productivity advantages for banks and credit unions seeking greater business agility. The opportunities range from responding to evolving consumer or competitive dynamics to allowing for the scalability of technology use.

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Key Advantages of Cloud Computing in Banking - Banking CIO Outlook

Amazon Web Services data centers in Loudoun County, Virginia. (Photo: Rich Miller)

Amazon Web Services (AWS) has spent $35 billion on its cloud computing infrastructure in Northern Virginia over the past 10 years, the company said, illustrating the enormous impact data centers can have on regional economies.

The disclosure also highlights the huge expense of creating the cloud computing platforms that power the global economy. Amazon is among a handful of huge tech companies known as hyperscale operators with the financial strength to play a leading role in cloud infrastructure.

Why so much spending in Virginia? Amazons $35 billion investment supports the AWS US-East Northern Virginia cloud region, which includes more than 50 data centers. Its the largest single concentration of corporate data centers on earth, positioned near a strategic Internet intersection in Ashburn, which serves as a global crossroads for data traffic. As the cloud grows, the ability to add servers near Ashburn has become the table stakes for companies with ambitions in cloud computing.

The data center cluster in Northern Virginia is just one component of Amazons cloud infrastructure, which includes seven AWS regions in North America and 25 across the globe.

Cloud services have become essential to the economy, especially during the COVID-19 pandemic. Building the data centers to provide those cloud services is a capital-intensive business.

Amazons investment in cloud data centers has paid off in the performance of AWS, which generated $45 billion in revenue in 2020 and accounted for 54 percent of Amazons operating income in its most recent quarter, delivering higher profit margins than much of the companys retail operations.

Amazon reports overall numbers for capital expenditures, but rarely provides public info on its direct expenses for data center construction. The recent disclosures were shared in a document outlining Amazons economic impact in Virginia.

The report shows the impact that can happen when government and industry work together to create growth opportunities for communities, said Blair Anderson, Director of AWS Public Policy at Amazon, in a blog post.

The data drives home two important points: Cloud clusters can provide important benefits for local economies, and require a level of investment that limits the number of companies that can compete at scale.

Over the last decade Amazon has undertaken a massive expansion in Northern Virginia to provision more capacity to keep pace with the growth of the AWS cloud. AWS and its development partners are continuously acquiring land and building data centers to ensure that the company doesnt run out of server space. This translates into jobs and spending to construct and operate the facilities, as well as tax revenue for local communities.

Amazons $35 billion included spending on IT equipment, construction labor and materials, utilities, security, data center employee salaries and third-party services to build and operate data centers. In 2020, Amazon estimates its data center activities contributed $1.3 billion in GDP and supported over 13,500 jobs in Virginia.

Here are some key data points on the employment and tax impact of its data centers in Northern Virginia and the counties where AWS has focused its investment:

Why is Amazon making these disclosures? The audience is clearly public officials and residents in the communities where AWS is locating its data centers. Google and Facebook have also released reports on the economic benefits of their data center projects.

Amazons sustainability initiatives are clearly a priority. In 2019, Greenpeace called out AWS, saying its adoption of green power is falling behind the growth of its cloud infrastructure in Northern Virginia. Since then the company has invested heavily in renewable energy, recently reaching 10 Gigawatts of solar and wind power.

Public scrutiny of large data center projects is now commonplace, as residents pay close attention to their impact on the environment, public resources, and quality of life. The accelerating pace of data center development has prompted a growing number of local disputes in Northern Virginia, as residents seek to block or revise plans to build new facilities in their town.

AWS is familiar with this trend, as its data center expansion in Haymarket in Prince William County was the focus of a four-year public controversy as residents fought against utility towers to support the project.

Amazons $35 billion investment in Virginia is certainly its largest investment in a single state. AWS US-East Virginia region is the companys largest region, including six Availability Zones (AZs) clusters of data centers within a region that allow customers to run instances of an application in several isolated locations to avoid a single point of failure. No other region in North America has more than four AZs.

That spending aligns with the massive capital needed to build out cloud computing platforms. Google, Microsoft and Facebook are also making big investments in their data center infrastructure, investing between $600 million and $4 billion for each data center campus they build.

Synergy Research Group estimates that hyperscale operators invested $149 billion in capital expenditures on an annualized basis, with spending growing at about a 30 percent clip from year to year.

Given the ongoing growth in service revenues for hyperscalers and the ever-increasing need for a larger global data center footprint, we are forecasting continued double-digit growth in hyperscale capex for several years to come, said John Dinsdale, a Chief Analyst at Synergy Research Group.

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AWS Has Spent $35 Billion on its Northern Virginia Data Centers - Data Center Frontier

Visiongain has published a new report on Global Military Cyber Security Market Report Forecast 2021-2031. Forecasts by Type (Network Security, Application Security, Data Security, Identity & Access, Cloud Security, Wireless Security and End-Point Security), PLUS, Profiles of Leading Military Cybersecurity Companies and Regional and Leading National Market Analysis. PLUS, COVID-19 Recovery Scenarios.

Global Military Cybersecurity market was valued at US$ 25,692.4 million in 2021 and is projected to reach at a market value of US$ 43,675.2 million by 2031, growing at a CAGR of 5.4% during 2021-2031. Some of the major factors fueling the growth of global market includes rising investment in R&D activities, capitalization on emerging technologies such as and artificial intelligence, IoT and combat technologies.

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COVID-19 Impact on Global Military Cyber Security Market

The global military cybersecurity market is highly impacted by COVID-19. The COVID-19 has both, positive and negative impacts on the market. The market has a neutral impact due to limited infrastructure at the beginning of the lockdown phase however, in the late phase the demand for military cybersecurity solutions increased owing to the rise in cyber spam caused by hackers across the globe. During the COVID-19 outbreak, public authorities across different countries invested huge amounts in transforming the military infrastructure. In addition, the military authorities signed a memorandum of understanding with the combat machine manufacturers to guard the intrusion from enemy countries. During this period, the military cybersecurity sales surged owing to rising mergers and acquisitions, R&D activities, collaborations, and other business strategies

Market Drivers

Rising deployment of cloud-based cybersecurity infrastructure

The military units are deployed with cloud computing for extensive storage, real-time analysis, and remote monitoring. The market players are collaborating with the government authorities to offer advanced military cyber security solutions. For instance, in October 2019, Microsoft Azure offered military cloud computing, to provide a competitive edge during combat. JEDI (Joint Enterprise Defense Infrastructure) program provided modern and enterprise-level cloud services to the Department of Defense. The integration of the solution aims to aid technical assistance to the soldiers and will provide the analyzed report to the fighters during battle. This agreement facilitates cyber security, cloud computing, and trusted computing services to the air force, U.S. Army, Marine Corps, Navy, and the defense intelligence community. Moreover, a few of the developing countries such as India, Australia is investing in the intelligence cloud infrastructure to strengthen their military power driving the demand for military cyber security solutions.

Story continues

Increasing deployment of futuristic war machines

Countries such as the U.S., Russia, and Japan are capitalizing in the development of futuristic war machines to dominate the defense sector and enhance their military power. The introduction of unmanned aerial vehicles, defense robots, military robots, and connected cars is creating new possibilities for the market players. These machines require advanced security solutions to prevent data theft, unidentified access, or get access to the artillery controls. Moreover, the growing deployment of connected vehicles for military transportation is driving the demand for military cyber security solutions.

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Market Opportunities

Introduction of artificial intelligence based military cyber security solutions

The industry players have introduced artificial intelligence integrated military cyber security that will track unauthorized access, spams messages and emails, links, etc. The solution providers are offering surveillance and monitoring solutions to guard the patents, records, and confidential data. In addition, the market players have programmed the solution to segregate the malicious activities from the main workflow or infrastructure. These solutions are also designed to find the bug inserted in the program to get the data without informing the user. These AI-equipped solutions eliminate the malicious bugs and permanently block the re-intrusion in the system. Moreover, the government authorities have hired smart brains to handle the cybersecurity infrastructure and minimize the attacks and stops confidential data from being compromised.

Competitive Landscape

The global Military cyber security market is fragmented with several global and local players. Some of the companies profiled in the report include BAE Systems Plc, General Dynamics Corporation, Raytheon Intelligence & Space, Northrop Grumman Corporation, Airbus Cybersecurity, Leonardo S.p. A., NetCentrics Corporation, Fujitsu Limited, CyberArk Software Ltd, Booz Allen Hamilton, Thales Group, Lockheed Martin Corporation, Cisco Systems Inc, CACI International Inc, and Atos SE.

The companies are focused on business strategies such as partnership with government authorities, product launches, R&D initiatives, and geographical expansion to gain competitive edge in global market. Some of the instances are stated below.

In April, 2021 CACI International Inc has been awarded a $447 million contract by National Security Agency. The company will provide process and mission technology in support of the signals intelligence and cyber security missions that provide US policymakers and the military with actionable intelligence to secure and defend vital networks.

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About Visiongain

Visiongain is one of the fastest growing and most innovative, independent, market intelligence around, the company publishes hundreds of market research reports which it adds to its extensive portfolio each year. These reports offer in-depth analysis across 18 industries worldwide. The reports cover a 10-year forecast, are hundreds of pages long, with in depth market analysis and valuable competitive intelligence data. Visiongain works across a range of vertical markets, which currently can influence one another, these markets include automotive, aviation, chemicals, cyber, defense, energy, food & drink, materials, packaging, pharmaceutical and utilities sectors. Our customized and syndicated market research reports mean that you can have a bespoke piece of market intelligence customized to your very own business needs.

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Global Military Cybersecurity Market is projected to reach at a market value of US$ 43,675.2 million by 2031: Visiongain Research Inc - Yahoo Finance

AI and Cloud share a symbiotic relationship where AI makes cloud computing highly effective while the cloud makes AI accessible and affordable for all enterprises. Whether it is lead generation, communication with customers, demand forecasting or understanding failure rates, the humongous amount of data thrown up provides sufficient information that can be converted into meaningful insights.

A panel discussion on the Future of Innovative Technologies was held as part of the AI & Cloud Virtual Summit presented by CNBCTV18.com in association with Dell Technologies. The session, moderated by Reema Tendulkar, had stalwarts from diverse industries including, Mayur Danait, Chief Information Officer, Pidilite Industries, Jagdish Ramaswamy, President and Chief Digital Officer, Hindalco Industries and Bhuvan Lodha, Vice President, Digital, Mahindra Group. The leaders discussed the use of AI Cloud Computing in their industry, the various use cases and the challenges faced.

Evolution of Cloud Strategy

The constant development of technological infrastructure has ensured that the world is more connected. Cloud offers on-demand storage and management of data that can be used by enterprises to generate better actionable insights. According to Mayur Danait, enterprises have evolved their cloud strategy from using the cloud for email, file sharing and instant messaging to infrastructure as a service followed by the platform as a service and today extensively leveraging the AI services of the cloud. Cloud Computing and AI are being used to improve the utilisation of factories, improving the quality of goods and optimisation of costs. Most enterprises are moving to a cloud-first strategy for new initiatives.

Agile Development of Solutions

When AI is integrated with cloud computing it enables the agile development of solutions that improves process efficiency and minimizes error rates becoming a win-win for businesses and customers. Prediction of failure rates can be used to reduce defects in the manufacturing process, improve quality and prevent wastage.

Interaction between Cloud and AI

AI and Cloud Computing feed off each other empowering businesses by enabling automatic transaction identification and allocation, failure detection and development of predictive solutions. The panellists talked about the need to shift from solving problems in silos to developing holistic value chain solutions to extract the maximum benefit.

Sifting Data from Noise

AI and cloud collaboration are necessary to access data that can convert into meaningful inferences to be used by businesses. The amount of data that is collected is huge and sometimes may not translate into anything useful which makes it essential to extract the useful pieces from the bulk to translate into measurable outcomes.

Challenges in AI & Cloud Adoption

Businesses that have combined AI with cloud data solutions are poised to maximize asset utilisation and scale their applications faster. The option of using a combination of public and private cloud-based on data sensitivity is ideal for large enterprises. Continuous accessibility and internet connectivity, however, become a challenge in hybrid cloud environments since continuous data exchange from enterprise server to cloud are critical in this setup.

The scarcity of highly skilled professionals who can implement the changes is proving to be another challenge for enterprises. Bridging the skill gap is essential and businesses are making all efforts to recruit the right talent.

The panellists were of the common view that cloud-based applications offer endless possibilities for the effective use of the data generated via AI and IoT. Enterprises have actively moved on to adopting the emerging technologies and finding new use cases for them in every industry. AI in combination with cloud computing has become a potent combination with visible results that no business can afford to ignore.

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Decoding the Future of Innovative Technologies - CNBCTV18

Growing numbers of IT shops are delivering high performance computing systems and the applications they support as on-demand services accessed via cloud connections.

In years past, high performance computing shops functioned as resources dedicated to the needs of scientists and engineers whose work required the computational power of a supercomputer. But not so today. In modern HPC shops, IT administrators function as service providers who cater to the needs of many rank-and-file HPC users who need more processing power than they can get on a desktop or laptop system.

Take the case of the University of Michigan, where the HPC specialists run an academic supercomputing center like an enterprise. They make the resources of their Great Lakes Supercomputer available to approximately 2,500 users who run hundreds of different applications. Even better, the reach of these HPC resources, based on systems from Dell Technologies, extends out into the community. For example, system users include MCity, a public-private initiative that brings together industry, government and academia to advance transportation safety, sustainability and accessibility.

The IT leaders at the University of Florida act in a similar manner with their UF Innovate hub, the Universitys technology business incubator. Among other support functions, UF Innovate gives start-up companies access to a Dell Technologies supercomputer for high performance computation, data visualization and analysis. This HPC system, known as HiPerGator, accelerates diverse research workloads with the power of more than 46,000 CPU cores.

So how do todays IT shops extend the goodness of HPC to thousands of users? Increasingly, the answer is a multi-cloud environment that gives users web-based access to a wide variety of HPC systems, both in on-premises private clouds and in public clouds.

The University of Michigan, for example, provides its academic community with easy access to on-premises HPC clusters via its Open OnDemand program and to public cloud computing platforms via its ITS Cloud Services program.

The University of Florida does much the same via its version of the Open OnDemand service, which connects the university community to the HiPerGator cluster to accelerate compute- and data-intensive scientific workloads. To work on HiPerGator, users connect to the system from a local computer via an SSH terminal session or through web application interfaces provided by the UF Research Computing team.

Meanwhile, out on the West Coast, the San Diego Supercomputer Center (SDSC) at the University of California, San Diego, offers its cloud-based OnDemand system to users who require immediate access to a supercomputer for event-driven science. Urgent applications that might make use of the OnDemand system range from making movies of earthquakes to providing near real-time warnings based on predictions about the path of tornados, hurricanes and toxic plumes.

This brings us to another question. With such a vast variety of jobs coming in from all over the place, how do HPC shops direct those jobs to the right infrastructure? In a word: automation.

SDSC, for example, automates the process with software that automatically determines where a job will run, matching the right job with the right IT resources. To enable this process with its Expanse supercomputer from Dell Technologies, SDSC is pioneering composable HPC systems that dynamically allocate resources tailored to individual workloads.

In addition to automating access to the right supercomputing resources, HPC shops are focusing heavily on education and training to help their users gain the greatest value from HPC clusters. This includes detailed online instructions, expert guidance and tips from people who have been there before. They all have teams to help people optimize their code, optimize the infrastructure and optimize the results.

This is the case at the University of Michigan, where the Advanced Research Computing Technology Services team provides workshops on such topics as GPU programming, writing machine learning code, choosing machine learning tools, and building and training deep learning models.

Research computing is all about collaborating to make the next big scientific discovery or technological innovation. And to make this research happen, we need high performance computing systems. Whether its unlocking the secrets of a deadly virus like SARS-CoV-2 or simulating the consequences of an earthquake, HPC is now an essential tool for scientific research.

HPC is also an essential tool for new applications for data analytics, artificial intelligence, machine learning and deep learning. For these and other applications, HPC technologies serve as the engine under the hood, helping us turn raw data into valuable insights. To that end, HPC systems provide big memory to enable applications like image recognition, visualizations and molecular dynamics simulations. They offer GPUs for training deep learning workloads, and CPUs for machine learning and inferencing jobs that perform well in HPC systems.

And increasingly, its all available under as-a-service approaches that incorporate things like data pipeline tools for ingesting and processing data from a variety of sources, systems tailored to calculations that require large amounts of physical memory, and storage clusters that hold petabytes of data for solving scientific problems. You name it, and you can probably get it as a service, via a cloud interface.

To reduce the risk associated with new technology investments and improve speed of implementation, Dell Technologies invites customers to experience HPC-driven solutions firsthand in a global network of dedicated facilities. These Customer Solution Centers are trusted environments where world-class IT experts collaborate to share best practices, facilitate discussions of effective business strategies, and use briefings, workshops and proofs-of-concept to accelerate IT initiatives.

Other Dell Technologies resources available to support modern computing initiatives include the HPC & AI Innovation Lab, HPC & AI Centers of Excellence and the Dell Technologies HPC Community.

For a closer look the HPC environments of the institutions discussed here, check out these assets:

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Sharing the wealth of HPC-driven apps with flexible as-a-service models - HPCwire

This report is an essential reference for who looks for detailed information on Global and China Cloud Computing in Government market 2020 To 2025. The report covers data on global markets including historical and future trends for supply, market size, prices, trading, competition and value chain as well as global major vendors information. In addition to the data part, the report also provides overview of and China Cloud Computing in Government market, including classification, application, manufacturing technology, industry chain analysis and latest market dynamics.

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According to industry experts, the and China Cloud Computing in Government market is projected to register a yearly growth rate of XX% over the forecast timeframe (2020-2025).

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Market synopsis:

Regional outlook:

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The application spectrum of the and China Cloud Computing in Government market is fragmented into Training & Consulting , Integration & Migration , Support & Maintenance , ,By Region , North America , U.S. , Canada , Europe , Germany and France

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Leading players in the and China Cloud Computing in Government market are Adobe Systems Blackboard Cisco Ellucian Dell EMC Instructure Microsoft NetApp Oracle Salesforce SAP

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and China Cloud Computing in Government market Study Coverage: It includes key market segments, key manufacturers covered, the scope of products offered in the years considered, global and China Cloud Computing in Government market and study objectives. Additionally, it touches the segmentation study provided in the report based on the type of product and applications.

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and China Cloud Computing in Government market Profile of Manufacturers: Analysis of each market player profiled is detailed in this section. This segment also provides SWOT analysis, products, production, value, capacity, and other vital factors of the individual player.

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and China Cloud Computing in Government Market Trends 2021, Share Analysis, Growth Factors, Industry Consumption and Global Forecast 2026 - Northwest...