Monthly Archives: May 2023

DaaS in cloud computing has revolutionized the way organizations approach desktop management and user experience, ushering in a new era of flexibility, scalability, and efficiency. DaaS transcends the limitations of traditional desktop infrastructures, offering a seamless and immersive virtual desktop experience accessible from anywhere, at any time, on any device. Whether its a bustling metropolis or a remote corner of the world, DaaS empowers users to unlock their full productivity potential, untethered by the constraints of physical workstations. As the demand for remote work, mobility, and collaboration intensifies, DaaS in cloud computing emerges as a transformative force, revolutionizing the way businesses operate and paving the path to a future where the desktop is no longer confined to a desk, but becomes an ethereal gateway to boundless possibilities.

Desktop as a Service is a cloud computing model that delivers virtual desktop environments to end-users over the internet. It provides a complete desktop experience, including the operating system, applications, and data, all hosted and managed in the cloud. With DaaS, users can access their virtual desktops from any device with an internet connection, allowing for increased mobility and flexibility.

In the DaaS model, the desktop infrastructure is hosted and maintained by a cloud service provider. This eliminates the need for organizations to manage and maintain their own physical desktop hardware and infrastructure. Instead, businesses can subscribe to a DaaS service and pay for the resources they need on a usage basis.

The primary purpose of Desktop as a Service is to provide a cloud-based solution for delivering virtual desktop environments to end-users. DaaS aims to decouple the desktop infrastructure from physical hardware by hosting and managing virtual desktops in the cloud. This architectural shift allows businesses to achieve greater flexibility, scalability, and cost efficiency in their desktop management approach.

From a technical standpoint, DaaS serves to abstract the complexities of desktop provisioning, maintenance, and management by centralizing these tasks in the cloud. It leverages virtualization technologies and remote display protocols to deliver a rich desktop experience to end-users, regardless of their location or the device they are using. By encapsulating the entire desktop stack, including the operating system, applications, and data, within a virtual instance, DaaS enables seamless access and collaboration, improved disaster recovery capabilities, and enhanced security controls.

There are primarily two different types of Desktop as a Service models: multi-tenancy DaaS and single-tenancy DaaS.

Both multi-tenancy and single-tenancy DaaS models offer benefits and considerations depending on the specific needs of an organization. Organizations should evaluate their requirements, budget, security concerns, and customization needs to determine which type of DaaS model aligns best with their business objectives.

Yes, Desktop as a Service is a specific type of Software as a Service (SaaS). While SaaS is a broad category encompassing various cloud-based software applications delivered over the internet, DaaS specifically refers to the delivery of virtual desktop environments as a service.

SaaS refers to the model where software applications are hosted and provided by a service provider to end-users over the internet. Users access these applications through web browsers or specialized client software, eliminating the need for local installation and maintenance.

10 edge computing innovators to keep an eye on in 2023

The main difference between Software as a Service (SaaS) and Desktop as a Service (DaaS) lies in the nature of the services they provide:

DaaS, on the other hand, is specifically designed to deliver complete virtual desktop environments. It includes the operating system, applications, and user data, all hosted and managed in the cloud. DaaS enables users to access their desktops remotely from any device with an internet connection, providing a full desktop experience.

DaaS, in contrast, provides an entire desktop experience. It includes the operating system and allows users to access a virtual desktop environment that mimics a traditional local desktop. Users can run multiple applications, customize their desktop settings, and perform tasks similar to what they would do on a physical desktop.

DaaS, on the other hand, requires a more complex infrastructure to host and manage complete desktop environments. It includes virtualization technologies, remote display protocols, and storage systems to deliver the desktop experience to end-users. DaaS infrastructure needs to handle not only application delivery but also the complexities of operating systems, user profiles, data storage, and access controls.

One example of Desktop as a Service is Amazon WorkSpaces, provided by Amazon Web Services (AWS). Amazon WorkSpaces is a fully managed DaaS solution that allows users to access their virtual desktops securely from anywhere using various devices.

With Amazon WorkSpaces, organizations can provision and manage virtual desktops in the cloud, eliminating the need for on-premises infrastructure and maintenance. Users can access their virtual desktops through a web browser or the Amazon WorkSpaces client application, enabling a consistent desktop experience across different devices.

Amazon WorkSpaces offers a range of features, including customizable hardware configurations, persistent user profiles, and integration with other AWS services for seamless data storage and management. It provides security controls such as encryption, multi-factor authentication, and network isolation to protect sensitive data and ensure compliance.

DaaS empowers organizations to unlock the value of their data without the need for extensive infrastructure investments or specialized expertise. In this section, we will explore the benefits that DaaS brings to the table.

DaaS in cloud computing offers exceptional scalability and flexibility. With DaaS, businesses can easily scale up or down their desktop infrastructure based on their needs, without worrying about the underlying hardware limitations. The cloud provides the necessary resources to accommodate increased workloads or expanding teams, ensuring seamless operations and user satisfaction. Whether an organization needs to add new users, upgrade software, or allocate additional storage, DaaS in cloud computing allows for quick and efficient adjustments.

This scalability and flexibility eliminate the need for manual hardware upgrades, reducing costs and administrative burden. By leveraging the cloud, businesses can easily adapt to changing requirements and focus on their core operations, while enjoying the benefits of a dynamic and responsive desktop infrastructure.

DaaS in cloud computing offers significant cost savings compared to traditional desktop infrastructures. Instead of investing heavily in on-premises hardware, businesses can opt for a subscription-based model where they pay only for the resources they need. This eliminates the upfront capital expenditure associated with purchasing and maintaining physical infrastructure. Moreover, DaaS reduces ongoing operational costs by eliminating the need for IT staff to manage hardware, perform updates, or troubleshoot issues.

With cloud-based desktops, businesses can also benefit from centralized management, enabling efficient resource allocation and reducing wastage. The pay-as-you-go model of DaaS allows organizations to align costs with actual usage, making it a cost-effective solution for businesses of all sizes.

Security is a critical concern for businesses, and DaaS in cloud computing addresses this issue comprehensively. Cloud service providers implement robust security measures to protect desktops and data. These include data encryption, access controls, regular backups, and disaster recovery options.

By leveraging the cloud, businesses can ensure that their desktop infrastructure is hosted in secure environments with round-the-clock monitoring and advanced threat detection systems. DaaS also reduces the risk of data loss or theft due to physical damage or theft of hardware devices. Centralized data storage and backup mechanisms in the cloud provide an added layer of protection against potential data breaches or system failures, providing peace of mind for businesses.

DaaS in cloud computing enables enhanced accessibility and collaboration among users. Desktops hosted in the cloud can be accessed from any device with an internet connection, allowing employees to work remotely or access their workspaces on the go. This flexibility promotes productivity, as users can easily access their personalized desktop environments from various locations and devices.

Additionally, DaaS facilitates seamless collaboration among geographically dispersed teams. Multiple users can access and work on the same virtual desktop simultaneously, enabling real-time collaboration and reducing the need for file transfers or version control issues. These capabilities empower businesses to embrace remote work policies and foster a more collaborative and agile work environment.

DaaS in cloud computing simplifies IT management and maintenance tasks. Rather than dealing with complex hardware and software configurations, businesses can offload the responsibility to cloud service providers. DaaS providers handle backend operations such as software updates, security patches, and system maintenance, ensuring that desktop environments are up to date and running smoothly.

This reduces the burden on internal IT teams, allowing them to focus on strategic initiatives and core business functions. Additionally, DaaS provides centralized management tools that enable administrators to easily provision, monitor, and manage desktops from a single interface. This simplifies tasks such as user onboarding, resource allocation, and troubleshooting, enhancing operational efficiency and reducing IT overhead.

DaaS in cloud computing offers increased mobility and device independence for users. Since desktop environments are hosted in the cloud, employees can access their virtual desktops from a wide range of devices, including laptops, tablets, and smartphones. This mobility allows for greater flexibility in work practices, enabling employees to be productive from any location and on any device.

Moreover, device independence means that users are not tied to a specific device or operating system. They can seamlessly switch between devices without any loss of data or functionality, providing a consistent and personalized desktop experience. DaaS in cloud computing empowers organizations to embrace the growing trend of Bring Your Own Device (BYOD) policies, promoting employee satisfaction and work-life balance.

Deploying traditional desktop infrastructures can be a time-consuming process that involves procuring hardware, installing software, and configuring systems. DaaS in cloud computing eliminates these complexities and enables rapid deployment of desktop environments. With cloud-based desktops, businesses can provision new desktops and applications within minutes, significantly reducing the time-to-value.

This agility is especially beneficial in scenarios where businesses need to onboard new employees quickly or scale up operations to meet growing demands. By leveraging the cloud, organizations can accelerate their time-to-market, gain a competitive edge, and respond swiftly to business opportunities. DaaS in cloud computing streamlines the deployment process, allowing businesses to focus on their core activities and achieve faster results.

Ensuring business continuity and recovering from unexpected disruptions are crucial for organizations. DaaS in cloud computing offers robust disaster recovery capabilities that help businesses quickly resume their operations in the event of a disaster or system failure. Cloud service providers implement backup and replication mechanisms to safeguard desktop environments and data.

In case of a hardware failure or natural disaster, businesses can easily restore desktops and access their critical applications and data from alternate locations. This resilience provides peace of mind and minimizes downtime, ensuring that employees can continue working without significant disruptions. DaaS in cloud computing offers a reliable and cost-effective solution for disaster recovery, allowing businesses to protect their operations and maintain high levels of productivity.

Managing software licenses can be a complex and time-consuming task for businesses. DaaS in cloud computing simplifies software management by providing centralized control and licensing options. With cloud-based desktops, businesses can easily provision and manage software applications for their users from a single platform.

This centralized approach streamlines license allocation, updates, and compliance monitoring. It eliminates the need for individual installations and license management on each desktop, saving time and reducing administrative overhead. Additionally, cloud service providers often offer flexible licensing models, allowing businesses to scale up or down their software usage based on their needs. This flexibility ensures cost optimization and helps organizations stay compliant with software licensing agreements.

DaaS in cloud computing offers improved performance and user experience compared to traditional desktop infrastructures. By leveraging the clouds robust infrastructure, businesses can provide users with high-performance virtual desktops that are responsive and capable of handling resource-intensive applications.

Cloud service providers optimize their environments to deliver low-latency, high-bandwidth connections, ensuring smooth and efficient desktop interactions. Users can access their desktops quickly, launch applications seamlessly, and experience minimal lag or downtime. Moreover, DaaS allows for personalized desktop configurations, enabling users to customize their environments according to their preferences and work requirements. This level of performance and customization enhances user satisfaction, productivity, and overall work efficiency.

XaaS: Accessing technology solutions on demand

In a symphony of cloud-based innovation, the harmonious union of DaaS in cloud computing resonates with transformative power, orchestrating a grand finale to traditional desktop limitations. Like a maestro leading an ensemble, DaaS takes center stage, unlocking a symphony of flexibility, efficiency, and seamless user experiences. It conducts a melodious blend of mobility, scalability, and security, captivating businesses with its captivating performance.

With DaaS as the virtuoso, the limitations of physical workstations are swept away, and the digital realm becomes an enchanted landscape of boundless possibilities. Like a painters brush on a canvas, DaaS paints a masterpiece of improved productivity, simplified management, and liberated collaboration. It erases geographic boundaries, allowing teams to dance together across continents and time zones, their movements perfectly synchronized.

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DaaS In Cloud Computing: Benefits And Risks - Dataconomy

Security issues in cloud computing pose significant challenges for organizations. While the cloud offers numerous benefits, it also introduces a range of risks that demand attention. As technology evolves, so do the threats, and organizations must stay vigilant to safeguard their valuable assets. Understanding these risks is crucial, but equally important is the awareness that effective solutions exist to mitigate them. By proactively addressing security concerns, organizations can harness the power of the cloud while maintaining the integrity, confidentiality, and availability of their data and resources.

The landscape of cloud security is dynamic and ever-evolving, with new threats emerging constantly. Below, we will delve into the top 14 security issues in cloud computing that organizations must be aware of to ensure the protection of their sensitive data and resources. By understanding these risks, organizations can take proactive measures to mitigate vulnerabilities and fortify their cloud environments against potential security breaches.

Never lose your ID, especially in cyberspace

In contrast to an organizations local infrastructure, their cloud-based deployments reside beyond the network perimeter and are directly reachable via the public Internet. Although this grants enhanced accessibility of the infrastructure for employees and customers, it also amplifies the susceptibility for malicious actors to illicitly penetrate an organizations cloud-based resources. Inadequate security configurations or compromised credentials can furnish assailants with unimpeded entry, potentially without the organizations awareness.

Cloud Service Providers (CSPs) typically offer a range of application programming interfaces (APIs) and customer interfaces, which are extensively documented to enhance their usability. However, this practice introduces potential risks when customers fail to adequately secure these interfaces within their cloud infrastructure. The customer-focused documentation, while intended to facilitate usage, can inadvertently aid cybercriminals in identifying and exploiting vulnerabilities to gain unauthorized access and exfiltrate sensitive data from an organizations cloud environment.

Cloud computing is designed to facilitate effortless data sharing. Many cloud platforms offer features like email invitations and shared links to collaborate with others and grant access to shared resources. While this convenience is advantageous, it also introduces significant security concerns. Link-based sharing, a popular option due to its ease of use, poses challenges in controlling access to shared resources. Shared links can be forwarded, stolen, or guessed by cybercriminals, leading to unauthorized access. Moreover, revoking access for a specific recipient becomes impossible with link-based sharing.

Insider threats pose a significant security concern for organizations, as malicious insiders already possess authorized access to the organizations network and sensitive resources. The pursuit of this level of access is what commonly exposes attackers to their targets, making it challenging for unprepared organizations to identify malicious insiders. Detecting such threats becomes even more challenging in cloud environments. Companies have limited control over the underlying infrastructure in cloud deployments, rendering many conventional security solutions less effective. Additionally, the direct accessibility of cloud-based infrastructure from the public Internet and prevalent security misconfigurations further complicate the detection of malicious insiders.

Due to the placement of an organizations cloud-based resources outside their corporate network and reliance on third-party infrastructure, conventional network visibility tools prove ineffective in cloud environments. Moreover, some organizations lack specialized security tools tailored for cloud deployments. Consequently, monitoring and safeguarding cloud-based resources become challenging. The limited ability to monitor and protect these resources leaves organizations vulnerable to potential attacks, emphasizing the need for cloud-specific security solutions to enhance visibility and fortify defense mechanisms.

Cybercriminals operate strategically, targeting entities with the potential for profitable attacks. Cloud-based infrastructure, due to its direct accessibility from the public Internet and frequent inadequate security measures, becomes an attractive target. Furthermore, the shared nature of cloud services across multiple organizations amplifies the impact of successful attacks, enabling repetitive exploitation and enhancing the likelihood of success. Consequently, organizations cloud deployments have emerged as prime targets for cyberattacks, given the abundance of sensitive and valuable data they hold.

The cloud plays a vital role in supporting business operations for numerous organizations, serving as a storage platform for critical data and a foundation for running essential internal and customer-facing applications. Consequently, a successful Denial of Service (DoS) attack targeting cloud infrastructure can result in significant repercussions across multiple companies. Particularly concerning are DoS attacks where the attacker demands a ransom to halt the attack, posing a substantial threat to the integrity and availability of an organizations cloud-based resources.

Cloud-based environments offer seamless data sharing capabilities, accessible directly from the public Internet. Users can easily share data through email invitations or by sharing public links. While this convenience fosters collaboration, it raises significant apprehensions regarding potential data loss or leakage, which organizations often consider their top cloud security concern. Sharing data through public links or setting cloud repositories as public exposes them to anyone possessing the link, and dedicated tools actively scan the Internet for vulnerable cloud deployments, amplifying the risk of unauthorized access and data exposure.

Data privacy and confidentiality represent significant concerns for organizations. Stringent data protection regulations such as GDPR, HIPAA, and PCI DSS necessitate the safeguarding of customer data, imposing severe penalties for security breaches. Additionally, organizations possess a substantial amount of internal data crucial for maintaining a competitive edge. While leveraging the cloud offers advantages, it has raised significant security apprehensions for most of the organizations. Many organizations lack the expertise to ensure secure cloud usage, resulting in heightened risks of data exposure, as evidenced by numerous cloud data breaches.

Cybercriminals frequently exploit cloud applications and environments to carry out phishing attacks. The widespread adoption of cloud-based email services like G-Suite and Microsoft 365, along with document sharing platforms such as Google Drive, Dropbox, and OneDrive, has led employees to expect emails containing links that request them to verify their account credentials for accessing specific documents or websites. This familiarity inadvertently assists cybercriminals in acquiring an employees cloud service credentials. Consequently, the accidental exposure of cloud credentials is a significant worry for most of the organizations as it jeopardizes the privacy and security of their cloud-based data and resources.

Numerous organizations have well-defined protocols to address internal cybersecurity incidents. This is facilitated by their ownership of on-site network infrastructure and the presence of in-house security personnel, enabling them to swiftly contain such incidents. Moreover, this ownership grants them sufficient visibility to ascertain the incidents extent and undertake appropriate remediation measures. Conversely, cloud-based infrastructure limits an organizations visibility and ownership, rendering conventional incident response processes and security tools ineffective.

Data protection regulations such as PCI DSS and HIPAA mandate organizations to demonstrate stringent access controls for safeguarding sensitive information like credit card data and healthcare records. This may entail establishing a physically or logically isolated segment within the organizations network, granting access solely to authorized employees with a genuine requirement. However, ensuring and validating regulatory compliance becomes more challenging when migrating regulated data to the cloud. Cloud deployments grant organizations limited visibility and control over infrastructure layers, making legal and regulatory compliance a significant cloud security concern for most of the organizations. Meeting these requirements necessitates specialized cloud compliance solutions.

Cloud providers typically maintain multiple data centers across various geographic locations, enhancing the accessibility and performance of cloud-based resources while ensuring the fulfillment of service level agreements during disruptive events like natural disasters or power outages. However, organizations utilizing cloud storage often lack visibility into the specific data center locations within the providers network. Compliance with data protection regulations like GDPR becomes crucial, as storing EU citizen data in cloud platforms with data centers outside approved areas may result in regulatory non-compliance. Additionally, varying jurisdictional laws governing data access for law enforcement and national security purposes can impact customer data privacy and security.

While the cloud offers several benefits to organizations, it also introduces unique security risks and considerations. Cloud-based infrastructure differs significantly from on-premises data centers, necessitating distinct security approaches. Traditional security tools and strategies may not provide adequate protection for cloud environments. To gain comprehensive insights into the prevailing cloud security challenges and threats, we recommend accessing the Cloud Security Report for detailed information and valuable recommendations.

These security issues in cloud computing demand the utmost attention from organizations. The risks associated with cloud technology are significant, requiring diligent efforts to safeguard sensitive data and mitigate potential breaches.

By recognizing the top 14 cloud security risks discussed in this article, organizations can take proactive steps to fortify their cloud environments. Implementing robust access controls, encryption measures, and comprehensive monitoring solutions can significantly enhance the security posture of cloud-based resources.

It is essential for organizations to prioritize cloud security, leveraging advanced technologies and best practices to safeguard their assets and maintain the confidentiality, integrity, and availability of their data.

With careful planning and strategic measures, organizations can navigate the cloud landscape with confidence and resilience in the face of evolving security challenges. Gartners article called Is the Cloud Secure? still sheds light on this matter, if you need further reading.

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14 Security Issues In Cloud Computing And Their Solutions - Dataconomy

Via Satellite illustration.

This is the second of a two-part series analyzing the value of edge computing in space by the Boston Consulting Group. Read Part One: Size of the Prize: How Will Edge Computing in Space Drive Value Creation?

What key drivers are necessary to ensure that edge computing in space is widely adopted to the degree that it reaches an inflection point of affordability? We at the Boston Consulting Group believe that cybersecurity, cost, and ESG will drive the market for edge computing in space.

Cybersecurity is an area in which edge computing offers distinct advantages. Cloud computing is vulnerable to the ever-increasing risk of cybersecurity breaches, which can lead to major data theft or loss. Organizations across industries that collect personally identifiable information on a public cloud expose themselves to liability and/or compliance concerns, while sensitive intellectual property and proprietary industry data can become vulnerable to cybersecurity attacks at various nodes of transmission particularly given growing dependency on cloud computing.

The main challenge presented by the current cloud computing landscape is that corporate services and data are entrusted to third parties and are exposed to a higher level of risk, both in terms of security and privacy. The top three threats to cloud systems are unsafe API interfaces, data loss or theft, and hardware failure. The widespread use of virtualization in the implementation of cloud infrastructure also creates security problems because it alters the relationship between operating systems and underlying hardware, introducing an additional level that must be managed and protected.

In contrast, edge computing introduces multiple advantages for cybersecurity since data is processed locally. This eliminates risks stemming from data transfers, which are typically encrypted and inevitable when using typical terrestrial cloud solutions. With edge computing, complex calculations occur at the IoT device/perimeter server level and the only transfer is that of the final result to the user. The risk of data loss is driven more by damage to local servers, rather than cybersecurity vulnerabilities.

Cost also presents an area of advantage to edge computing. Organizations could achieve operational cost savings by using edge computing due to the minimal need to move data to the cloud. Since data is processed at the same location where it is generated (in this case, on the satellites themselves, collecting imagery through hyperspectral or SAR capability or remote sensing data), processing these batches of data on the same satellite would also yield a significant reduction in the bandwidth needed to handle the data load.

Hosting applications and data on centralized hosting platforms or centers creates latency when users try to use them over the internet. Large physical distances coupled with network congestion or outages can delay data movement across the network. This then delays any analytics and decision-making processes.

Edge computing in space, in this context, could enable data to be accessed and processed with little or no obstacles, even when there is poor internet connectivity. Importantly, if there is failure with one edge device, it will not destroy the operation of the other edge devices in the ecosystem, facilitating a reliable, connected system.

Finally, there are potential gains to be achieved in terms of ESG metrics by adopting in-space edge computing capability. With the cloud business model dominating, there are emerging concerns about the environmental effects of centralized processing. Processing centers require enormous resources to function; they contribute to carbon emissions, accounting for 0.6% of all greenhouse gas emissions, and produce electronic waste, adding to the burden humans put on the environment in pursuit of advancement.

Edge computing has become a potential alternative to moving data centers to greener practices. The edge helps reduce the networking traffic coming in and out of centralized servers, reducing bandwidth and energy drains. This frees up bandwidth at the data center itself and bandwidth for the organization, overall, in terms of any centralized servers on-premises. Moving edge computing to space would achieve even further reductions in energy consumption required at the terrestrial data center level, while the needs for temperature control and cooling would be eliminated by the freezing temperatures in LEO.

In order to estimate an overall market for edge computing in space and explain why in-space edge computing capability and associated user interface applications need to be built, we triangulated three approaches to the market: Supply, Demand, and Cost.

Today, roughly 20% of data processing and analysis occurs locally, with 80% happening in centralized data centers and computing facilities.

We developed a high, low, and base case for estimating the share of industry addressable by space solutions, and as a core assumption of the model, we used reliance on cybersecurity to gauge what share of industry would be addressable by space. With this model, we expect an estimated $250 million market by 2030 with defense and satcom as leading industries for application. However, it is important to note that the estimated $250 million market is addressed by only one segment of the total scope available as one looks at the Edge Computing in Space Capability Stack (Figure 2).

Figure 2: The capability stack for edge computing in space demonstrates the breadth of functions which could be enabled and supported for different end users. Source: BCG analysis.

Further upside would emerge as addressable market opportunity for connectivity service providers (satcom/telecom), applications developers (who would be responsible for developing the apps for the specific government customer to interpret processed information, for example); terminals/user interface manufacturers; and the residual flow down to data centers for cloud computing purposes. Other segments of Edge Computing in Space Capability Stack would see further value unlocked as Edge in Space comes online, delivers key capabilities to the highest need customer groups (e.g., those in defense), and brings the cost curve down for commercial use cases and applications to emerge.

By estimating demand for cloud computing across target industries, supply for satellite revenue in the aggregate space market, and comparing the cost of terrestrial and space data storage centers, we believe that there is more demand for cloud computing in space than the supply of satcom providers.

Our model indicates that the cost to host data in space will closely approach terrestrial data costs past 2030, while on supply and demand, we anticipate more demand for cloud computing space than supply of satcom providers.

In light of these differentiating factors and our model research, demand for edge computing is established and expected to grow (Figure 3). We project all of Satellite IoT spending, $1.5 billion by 2030, to be addressable given the importance of cybersecurity. We estimate the relevant edge computing market (excluding hardware and non-core service software) to be $0.3 billion by 2030, of which 75% would be in-scope. Finally, we estimate up to 2% of the total $1.2 billion cloud compute market by 2030 to be in-scope due to the selective applicability of cybersecurity and latency needs for real-time analysis.

However, research indicates that supply is currently lagging behind expected need due to insufficient public and private investment, with key implications for government and private investors.

The key drivers to understanding which companies will unlock the potential of edge computing in space include prioritizing cybersecurity, lowering cost burden, and adopting ESG practices. With increasing digitalization, the space economy will further benefit from integrating edge computing into space-based business models. However, companies and governments must help develop the needed supply that our current space investment demands.

While cloud computing will remain an integral part of the overall market for the foreseeable future, the advantages offered by edge computing in space are clear enough that actors in the most promising markets of defense and agriculture should be considering the questions posed earlier. For government, how can they leverage this technology to enhance the security of critical assets and information? How should government invest in developing the market for space-based edge computing, and how can they effectively support its growth? What role will incentives play will they be tied to ESG targets?

For industry, there are questions around how to sell to target customers in key markets such as government and agriculture. Are the start-up and non-recurring engineering costs prohibitive and what investments and partnerships will be required? What scenarios exist for the development of requisite ground infrastructure?

Go to market success will require integrating the edge computing in space-as-a-service capability into a suite of other services that could already be on offer. In addition, as commercial space stations look to develop edge computing in space offerings, successful methods will integrate this capability among others in orbit, such as where and how remote sensors collect the data, where and how the data analytics are performed, and potentially offering various data streams to the same group(s) of customers utilizing the same sensors to optimize quality and quantity of output.

The space industry is no stranger to partnering closely with suppliers and customers, including governments, to develop and deliver new technology and advance the art of the possible. By making the right investments, governments, investors, and users in edge computing can turn democratizing space from an expression into a reality.

This paper is the second two-part series analyzing the value of edge computing in space by the Boston Consulting Group. Read Part One: Size of the Prize: How Will Edge Computing in Space Drive Value Creation?

S. Sita Sonty leads Boston Consulting Groups Commercial Space team. John Wenstrup is a senior leader in BCGs Technology, Media & Telecommunications practice. Cameron Scott is Global Sector Lead for Defense and Security. AndDr. Hillary Child is a Project Leader from BCGs Chicago office.

Additional research by Avril Prakash, Sarvani Yellayi, Ansh Prasad, and John Kim

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Size of the Prize: Assessing the Market for Edge Computing in Spaces - Via Satellite

KASTANOVA, CZECH REPUBLIC / ACCESSWIRE / May 18, 2023 / Clore.ai, an innovative six-month-old platform disrupting the tech industry by enabling individuals to rent out their computing resources, today announced the launch of its groundbreaking Secure Cloud system. Offering unprecedented access to top-performing video cards like the 3090 for as low as $0.25 per hour, Secure Cloud is set to redefine the cloud computing landscape.

Secure Cloud emerges from Clore.ai's strategic acquisition of a European data center, enhancing the firm's capabilities in the cloud computing sector. The system offers users high-end computing at an unparalleled price, complete anonymity, and an ultra-stable computing environment.

"Clore.ai is committed to democratizing access to high-quality computing resources," said a spokesperson for Clore.ai. "Secure Cloud is a major milestone in our mission, providing our users with unmatched stability, unbeatable pricing, and the flexibility to manage their computational needs."

Clore.ai stands apart with its unique benefit for Clore Coin holders. Users who acquire Clore Coin and engage in Proof of Holding - a staking system where coins are held in the user's personal wallet - can enjoy up to a 50% discount on service commissions. This feature enhances the affordability and appeal of Secure Cloud, making it even more accessible to a broader range of users.

Moreover, individuals who rent out their computing resources through Clore.ai are rewarded with bonuses in the form of Clore Coin, further incentivizing participation in this growing ecosystem.

Secure Cloud also guarantees the highest level of user anonymity and system stability. Users can rely on Secure Cloud for high-intensity computing needs, such as training neural networks or mining new cryptocurrencies, without concerns about system downtime or interruptions.

"Clore.ai's Secure Cloud is set to revolutionize the traditional cloud computing market," added the company spokesperson. "We are thrilled to see how this system empowers our users and reshapes the cloud computing landscape."

About Clore.ai:

Despite being just six months old, Clore.ai has already disrupted the tech industry by enabling users to rent out their computing resources. With the launch of Secure Cloud, Clore.ai continues to redefine the boundaries of cloud computing, making top-tier computing accessible, affordable, and rewarding for all.

For more information, visit https://clore.ai and explore Secure Cloud at https://clore.ai/secure-cloud

Media Details:Name: CloreEmail: [emailprotected]City: KatanovCounty: Czech Republic

SOURCE: Clore

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Clore.ai Introduces Secure Cloud: Unprecedented Affordability and ... - AccessWire

Amazon Web Services (AWS), the cloud computing division of Amazon.com Inc, said on Thursday it plans to invest 1.06 trillion rupees ($13 billion) in India by 2030, doubling down on its past investments to cater to an ever-growing demand.

The latest investment will be used to build its cloud infrastructure in India and it will support over 100,000 full- time jobs annually, AWS said.

The company runs two data centers in the Indian subcontinent one in Mumbai which was launched in 2016, and another in Hyderabad, started in 2022.

AWSs total planned investment in India adds up to about $16.4 billion by 2030, the company said in a statement.

The cloud platform offers more than 200 services, including storage, robotics and artificial intelligence.

Amazons cloud division has been investing in regions across the world to provide seamless connectivity. Earlier this year it said it plans to invest $6 billion in Malaysia by 2037.

($1 = 81.7800 Indian rupees)

Reuters

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Amazon's cloud computing unit to invest $13b in India by 2030 - DealStreetAsia

Astute Analytica has recently published a comprehensive report onCloud Computing in Higher Education Market, which provides the latest data and insights into the markets growth prospects and challenges. The report employs various tools, such as constraints and opportunity analysis, to evaluate the potential for new goods and services, helping businesses locate and forecast market opportunities.

Request of this Sample Report Here-https://www.astuteanalytica.com/request-sample/cloud-computing-higher-education-market

The report also includes a compilation of qualitative and quantitative evaluations made by subject-matter experts in their fields and representatives from various industries found all along the supply chain. Global Cloud Computing in Higher Education Market is estimated to witness a rise in revenue from US$2,693.5 Mn in 2021 to US$ 15,180.1 Mn by 2030. The market is registering a CAGR of 22% during the forecast period 2022-2030.

The report discusses further findings that researchers made based on the comprehensive data and offers information on the state of the market, including kinds and applications based on various nations and important locations. It describes the markets most active companies in detail, including attributes like corporate portfolio, business strategy, financial overview, recent developments, and industry share.

The leading companies in the Cloud Computing in Higher Education Market include.

The key players in the Global Cloud Computing in Higher Education Market areDell EMC,Oracle Corporation,Adobe, Inc.,Cisco Systems, Inc.,NEC Corporation,Microsoft Corporation,IBM Corporation,Salesforce.com,Netapp,Ellucian Company L.P.,Vmware, Inc and Alibaba Group among others.

The report continuously monitors the direct impact of COVID-19, including updates on the Omicron mutation study, on the market, in addition to the indirect influence of related industries. The report contains observations on the impact of the pandemic.

Geographical regions are divided into several major categories for production, consumption, revenue (in US dollars), and market share in this analysis. The report discusses the predicted growth of the market in this region between 2021 and 2031.

More Full Report Here-https://www.astuteanalytica.com/industry-report/cloud-computing-higher-education-market

The segmentation overview of Cloud Computing in Higher Education Market includes.

By Institute Type segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Ownership segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Application segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Deployment segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Region segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

Overall, Astute Analyticas report on Cloud Computing in Higher Education Marketprovides a comprehensive and valuable resource for businesses looking to understand the markets current state and future growth prospects.

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Cloud Computing in Higher Education Market Share By Industry ... - Digital Journal

By Asmaa Lapouge, Cloud Product Marketing Manager, Ansys

With increased global competition and rising customer expectations, industrial engineers are under incredible pressure to lower their expenses while maintaining quality and performance. To overcome these challenges, they are transforming their workflows by bringing the physical and digital worlds together. Engineering simulation technology is at the forefront of the fourth industrial revolution, transforming data into actionable insight. Operational efficiency, reliability, durability, and performance of industrial equipment can all be improved and accelerated by simulation and cloud computing.

As part of this digital transformation, industrial engineers workflows often call for large models and intensive, multiphysics simulations. These analyses can take days or weeks to run on-premises even with moderate-sized models because they need to be analyzed at many time points. Running simulations on these models requires enormous compute resources. To avoid production bottlenecks and speed time to market, more and more customers are adopting a cloud-based simulation approach.

This way of engineering mixes simulation and cloud technologies to accelerate the design and testing process, enabling engineers to iterate more quickly and efficiently. This can help bring their products to market faster, stay ahead of the competition, and respond quickly to changing customer demand, but also mitigate risks. Doing more simulations helps industrial engineers innovate faster. It also enables them to avoid costly manufacturing issues by catching and correcting them early in the digital engineering process.

Running industrial simulations in the cloud offers several benefits that can enhance the efficiency and productivity of industrial operations. Firstly, it allows engineers to scale their simulations easily, without worrying about the limitations of their local computing resources. This means that they can run complex simulations involving large datasets and multiple variables without worrying about system crashes or other performance issues. As a result, engineers can get more accurate and insightful results from their simulations, which can help them optimize their industrial processes.

Secondly, cloud-based simulations offer greater collaboration opportunities for teams working on industrial projects. With cloud-based simulations, team members can access simulation data from anywhere in the world, as long as they have an internet connection. This means that they can work with experts and stakeholders from different locations and integrate their expertise into their simulations. By doing so, industrial engineers can ensure that their simulations are more accurate and representative of their manufacturing operations.

Finally, running simulations in the cloud can help optimize manufacturing costs. Cloud computing enables industrial engineers to use shared computing resources. They only pay for the hardware resources they use, mitigate the risk of failure, and they can easily scale up or down as needed. In addition, cloud-based simulations can help identify areas where industrial engineers can optimize their manufacturing processes and reduce waste, which can translate into significant cost savings over time.

An Innovative R&D Approach to Mix Cloud Technologies and Physics-based Simulation

Electronics motor development is one example of an industrial sector application that benefits from simulation and cloud computing. It considers multiple domains such as electromagnetics, thermal, and structural each with inherent challenges in a disruptive design environment. The presence of many nonlinear interactions and the changing physics involved make it difficult to estimate behavior in various areas involving changing design parameters. Overcoming these dynamics requires continuous iteration both at the domain level and across domains. The biggest challenge for Turntide Technologies, which develops and manufactures intelligent, sustainable motor systems, was computing all these interactions and quickly scanning through a large number of design variables to arrive at an optimal solution.

Turntide Technologies looked to Ansys Maxwell simulation software to optimize electromagnetics in its Smart Motor System designs via cloud bursting on several independent workstations. This was accomplished using Ansys Gateway powered by AWS to run a virtual cluster coupled with Maxwells electronics solvers to realize greater efficiency in electromagnetic optimization. It also helped Turntide establish a more flexible, collaborative workflow that enabled its engineers to run more design points faster in a high-performance computing environment while removing previously existing hardware barriers.

Ansys Gateway powered by AWS unleashes the computing resources we need to quickly solve electromagnetics-related challenges in our Smart Motor System designs, said Avisekh Banerjee, Ph.D. Director of Simulation and Analysis, Turntide Technologies. We get tremendous acceleration during development with the added computational power, going from weeks to days to come up with answers to our most pressing technological challenges which otherwise would not have been possible.

Thanks to the higher computation capabilities available on AWS, Turntide can analyze its designs 7X faster than on-premises and simultaneously run 125,000 simulations on Maxwell 2D software on the AWS cloud, reducing development cycles from months to weeks

Previously using 32 cores on-premises, it took more than four weeks on a workstation to optimize Smart Motor System designs. Now, with Ansys Gateway powered by AWS, users can easily create clusters with 4x the number of the cores and complete the simulation in less than four days.

For Turntide, Maxwell 2D enabled by Ansys Gateway powered by AWS is key to quickly understanding the electromagnetics and related physics that lead to the optimization of its Smart Motor System designs.

To learn more about Ansys Gateway powered by AWS, contact us now.

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Unlock Industrial Cloud Transformation with Ansys and AWS - High ... - insideHPC

Dr Niket Gupta, Chief Strategist-Healthcare and Life Sciences Practice, SourceFuse highlights the impact of 5G technology and cloud computing on Indian healthcare

5G technology and cloud computing technology are two significant advancements that can work together to deliver a wide range of benefits for various industries. 5G technology, or the fifth generation of cellular networks, is poised to revolutionise the way we live and work, and healthcare is no exception. With its ability to deliver faster speeds, lower latency, and more reliable connections, 5G technology has a wide impact from the perspective of the Indian Healthcare system.

Cloud computing technology, on the other hand, refers to the delivery of computing services, such as storage, databases, and software applications, over the internet. This allows organisations to access, manage, and store their data and applications remotely, rather than having to maintain their physical infrastructure.

When 5G technology and cloud computing are combined, they can deliver a wide range of benefits, including

Improved connectivity: with 5G networks, devices can communicate with the cloud in real time, enabling new use cases, such as real-time control of robotic systems during surgery and real-time analytics.

Enhanced scalability: cloud computing allows organisations to scale their resources up or down as needed, which can help reduce costs and improve efficiency. With 5G networks, organisations can also take advantage of the increased bandwidth and lower latency to handle more data and support more devices.

Greater flexibility: with 5G networks and cloud computing, organisations can access, manage, and store their data and applications remotely, which can enable new use cases, such as telemedicine and remote monitoring.

Increased security: cloud computing providers typically invest heavily in security to protect their customers data, and 5G networks can also provide enhanced security features, such as network slicing and virtualisation to protect against cyber-attacks.

Use cases in healthcare: An Indian perspective

India is one of the worlds fastest-growing healthcare markets, and 5G technology has the potential to play a major role in driving innovation and improving care outcomes in the country. From remote monitoring and telemedicine to medical imaging and robotic surgery, 5G technology can enable a wide range of use cases that can help to improve access to care, reduce costs, and increase the efficiency and effectiveness of the healthcare system.

Remote monitoring and telemedicine: One of the most significant use cases for 5G technology in Indian healthcare is in remote monitoring and telemedicine. With 5G networks, medical professionals can remotely monitor patients vital signs and other health data in real-time, which helps to improve the accuracy and timeliness of care, especially in rural areas where access to healthcare is often limited. This can be particularly useful for patients with chronic conditions that require close monitoring, such as diabetes or cardiovascular diseases.

Medical imaging: With its ability to deliver faster speeds and lower latency, 5G networks can enable the real-time transmission of large, high-resolution medical images, such as CT scans and MRI images. This can help to improve the accuracy and timeliness of diagnoses and treatment plans and can also reduce the need for patients to travel for in-person appointments.

Robotic surgery: Again, the speed and low latency mean 5G networks can enable real-time control and monitoring of surgical robots, which can help to improve the accuracy and precision of procedures. Additionally, 5G networks can support the use of telepresence robots, allowing medical professionals to control surgical robots and perform procedures remotely.

Bottom line

Overall, the adoption of 5G technology and cloud computing has the potential to transform the entire healthcare ecosystem in India, leading to the accessibility of healthcare services in the remotest areas, faster and more accurate diagnosis, real-time monitoring of health conditions and the use of advanced technologies to improve care outcomes.

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5G and cloud computing technology: Impact on future of healthcare system - Express Healthcare

ORLANDO, Florida, May 17, 2023 Intel and SAP SE today announced a strategic collaboration to deliver SAP software landscapes in the cloud. Designed to help customers derive greater scalability, agility and consolidation of existing SAP software landscapes, the collaboration deepens Intels focus on delivering extremely powerful and secure instances for SAP, powered by 4th Gen Intel Xeon Scalable processors.

Using SAP Application Performance Standard benchmarks, Intels 4thGen Xeon processors enable significantly higher performance numbers when compared to previous generations of Xeon processors, and these impressive results will be passed along to SAP customers around the globe. Additionally, Intel enables current virtual machine (VM) sizes up to 24TB with a goal to ramp up to VM sizes of 32TB with the RISE with SAP solution.

SAP customers with 4th Gen Xeon processors can enjoy faster processing speeds and improved performance with up to 38 percent CPU power savings, while also benefiting from the scalability and flexibility of the cloud. The combination of these technologies aims to enable customers to deploy the RISE with SAP solution quickly and easily, while also helping to ensure the security and reliability that they need to run their businesses.

Many of the worlds largest SAP S/4 HANA systems run on Intel architecture, said Christoph Schell, chief commercial officer at Intel. The new cloud computing experience powered by 4th Gen Xeon will not only help SAP customers meet growing compliance and security requirements, it will also enable them to apply advanced technologies for faster, more secure, integrated business processes.

Intels 4th Gen Xeon processors have the most built-in accelerators of any CPU on the market. They improve performance and lower customer total cost of ownership (TCO) allows customers to optimize their enterprise resource planning for RISE with SAP. Significant improvements to system performance can result in fewer systems needed to meet customer requirements.

By working with Intel and our joint infrastructure-as-a-service partners, we are able to bring the best of our respective technologies together to create a truly innovative and powerful cloud computing solution for our customers, said Scott Russell, executive board member, Customer Success, SAP. This effort is a testament to our commitment to delivering value to our customers through RISE with SAP, and we look forward to working closely with Intel to continue innovating in the cloud.

Beyond the collaboration for larger instance types in the cloud, Intel and SAP will explore use cases to leverage confidential computing for SAP HANA Cloud, SAPs database-as-a-service offering, to serve future requirements around enhanced data security and encryption starting with Microsoft Azure confidential computing.

To learn more about the SAP and Intel collaboration, register for the SAP Sapphire virtual event on May 16-17, 2023, and tune in to the keynote.

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Intel and SAP Collaborate on Cloud - High-Performance Computing ... - insideHPC

Hold on to your hats, because thedigital banking industryis taking the world by storm! From its humble beginnings to its current state, digital banking has revolutionized the way we handle our finances. Thanks to smartphones, mobile banking has taken off, letting us complete transactions with ease, even when were on the go. But thats just the tip of the iceberg. Todays digital banking boasts a dizzying array of features that we could only dream of before. Biometric authentication, virtual assistants, and AI-powered chatbots that can give personalized financial advice are just a few of the awesome tools at our disposal. And thats not all it has given rise to a whole new breed of financial tech startups Fintechs, that are changing the game with their innovative approaches. With all these incredible advancements, digital banking is at the cutting edge of innovation, and its just getting started. In this blog post, well explore how AI and cloud technology are revolutionizing this sector, boosting security, innovation, and profitability. So fasten your seatbelt as we take you on an exciting journey into the future of finance!

Digital banking, also known as online banking, has revolutionized the way we handle our finances. The concept can be traced back to the early 1980s, when ATMs (automated teller machines) were introduced, allowing customers to withdraw cash without visiting a physical bank branch. However, the real revolution began in the late 1990s with the advent of internet banking. It allowed customers to manage their accounts and perform transactions online, without the need for physical presence at a bank.

Over the years, digital banking has continued to evolve, making banking more convenient and accessible for customers. The introduction of mobile banking in the mid-2000s, further amplified this transformation, enabling customers to 24/7 access their accounts and perform transactions from their smartphones and tablets. Another key factor driving the growth of digital banking is security. Banks have invested heavily in advanced encryption technologies to protect customer data and mitigate fraud and identity theft risks. Additionally, with the increasing popularity of fintech companies, digital banking has become more innovative, introducing features such as budgeting tools, investment options, and real-time account monitoring. Also, some major breakthroughs in recent years, such as the introduction of contactless payments and the implementation of biometric authentication has also fuelled its growth and popularity.

Today, digital banking has become a norm and its future is even more exciting. With constant innovation and breakthroughs, it has become an integral part of our lives, making banking more convenient and accessible than ever before. And as technology continues to evolve, we can expect to see further advancements in areas such as artificial intelligence, cloud, blockchain, and open banking from banks looking to stay ahead of the curve.

AI has evolved tremendously since its inception in the 1950s. From automating mundane tasks like data entry and calculations, it has now become a game-changer in the banking industry. With the availability of massive amounts of data and technological advancements, conversational AI is rapidly being adopted by banks to provide exceptional customer experiences, streamline operations, and strengthen security measures.

Providing exceptional customer experience:Over the years, AI has made remarkable strides, with Conversational AI being at the forefront of this development. By leveraging natural language processing (NLP), this technology allows customers to communicate with their bank accounts in a conversational manner. It enables machines to understand human language by analyzing text or speech input and carry out tasks such as balance inquiries, money transfers, bill payments, and personalized financial advice based on personaldata analysis. With the power of machine learning algorithms, chatbots can continue to learn from past customer interactions, improving their accuracy and responsiveness over time. By leveraging deep learning models, which utilize neural networks like those in our brains to process complex information accurately, conversational AI can provide customers with quick and tailored responses, making banking more convenient and accessible. However, it is essential for banks to ensure that this technology is implemented securely while upholding privacy standards. As conversational AI becomes increasingly prevalent in the digital banking sector, it is crucial for banks to leverage its benefits while mitigating any potential risks associated with these technologies.

Improve operational efficiency:AI is transforming the banking industry, enhancing operational efficiency and cutting down costs. Machine learning, a popular AI technology, is enabling banks to automate their decision-making processes, analyze large data sets to predict outcomes, identify patterns, and detect anomalies. With tailored products and services, banks can now cater to their customers specific needs and preferences. Moreover, the application of Natural Language Processing (NLP) technology is allowing banks to analyze and comprehend customer requests, providing personalized responses that enhance their experience. Chatbots, powered by AI, are increasingly becoming popular in banking as they automate routine tasks, reduce wait times, and provide customers with immediate support. Additionally, Robotic Process Automation (RPA) is being employed in various core processes to automate manual and repetitive tasks, freeing up staff to focus on more complex tasks that require human intelligence. Lastly, AI is also being utilized for fraud detection and prevention, analyzing transaction patterns to identify fraudulent activities and reduce losses.

Strengthening data security & compliance:The integration of AI technology in the banking industry to enhancedata securityand regulatory compliance is a fascinating development. With the implementation of advanced technologies such as machine learning, natural language processing (NLP), predictive analytics, and blockchain, the industry is being revolutionized. Banks can now use machine learning algorithms to detect fraudulent activities by analyzing transaction data patterns, while NLP technology scans unstructured data to identify potential risks and security threats. Predictive analytics enables proactive measures to prevent customers from defaulting on loans or credit payments by analyzing customer data and behavior to predict future trends and potential security threats. Finally, the use of blockchain technology provides an extra layer of security, ensuring transaction integrity and preventing unauthorized access to sensitive information through a decentralized ledger system.

By now, we all agree that AI is at the forefront of banking transformation. Forward-thinking banks have already integrated AI into their operations and are experiencing impressive results. Here are some examples that demonstrate how AI integration enhances efficiency in the banking sector and delivers smarter insights faster than ever before, leading to improved customer satisfaction.

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Smart Banking: How Cloud Computing and AI are Transforming the ... - NASSCOM Community