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Covid19: Things We’ve Learned About #CloudComputing, So Far

 

Things We've Learned About #CloudComputing, So Far

In a remarkably short period of time, cloud computing has moved from a marginal to a fundamental element of IT operations. Thus, in just ten years, CIOs were presented with an opportunity to break the rules and create a new model for the implementation of IT. IDC forecasted cloud infrastructure spending to grow 12.9% to $74.6 billion for 2021 and Gartner expects the cloud computing industry to grow a trillion-dollar value in 2022. While cloud computing is essential in the IT strategy, it’s good to highlight where the cloud has brought benefits and in which areas companies still have to improve.

Let’s find below which strategies are working and where there is still work to be done.

 

The practice of cloud computing to bridge gaps in services

Cloud computing should be seen as a form of flexible outsourcing. It is only one vector among others for the provision of services. In computing on demand, what matters is how the company subscribes to services and benefits, not how they are delivered.

Cloud computing has the advantage of offering a very different model from the traditional ways of purchasing enterprise computing, where an ISD would acquire hardware and software for a specific location. This may be appropriate for services limited to a regional market but can encounter problems of latency at the global level. This can be very problematic, especially if you are managing IT for a highly transactional business such as a financial institution, or if you ship large amounts of data. The cloud enables CIOs to ease these performance issues by purchasing on-demand computing to create omnipresent service delivery.

You can rely on the third party to provide the diverse service you need, while they, as an expert, have the capability to deliver peak capabilities and performance where and when you need it.  As a CIO, you can expect the platform to work and be available. Now, many IT executives will do their best to avoid possessing new physical hardware, while being assured that the service will be well provided. The cloud enables IT managers to take a step towards hosting and achieve high levels of backup and security for a defined fee.

 

Adopt a cloud computing mindset

A company must have a long-term goal to migrate as much IT capacity to the cloud as it provides a cost-effective way to gain access to new skills and expertise. It can be difficult to keep in touch with all the innovations associated with the cloud; so, make sure to spend enough time brainstorming and talking with future IT professionals to get an idea of ​​future changes. They are probably more aware of the next big phenomenon that will affect the company. The culture that surrounds IT management is evolving, and that’s why you have to take a look at the new services that are available on the market and encourage employees to adopt a mindset favoring cloud computing.

However, a migration to the cloud must be carefully managed, including governance and information security. By definition, major providers (such as Amazon and Google) should be much better at securing data. However, CIOs need to be aware that convincing the rest of the company of the benefits of cloud computing can be a slow process, particularly with regard to governance, security, and approval issues.

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Let the cloud take care of core domains

Cloud computing integration must bring a tremendous solution to your organization’s operational challenge. The starting point concerns a number of core areas that CIOs can easily deliver on-demand. If you are using products such as Salesforce and Office 365, you’d have to be crazy to want to host them yourself. Better to let someone else, an expert in this field, take charge of your operational concerns. The cloud also serves as a one-time solution to problems involving certain operational projects.

 

Finding a balance and determining how to manage legacy systems

IT managers would be foolish to dismiss cloud computing, if only in terms of the quality of the service. However, while businesses will continue to migrate on-demand services, much remains to be done. We’ve noticed that some companies are opting ​​for an on-demand model and there are others that buy more internal resources.

For CIOs, moving to an on-demand model can be a headache. You have your systems inherited and at some point, you will have to consider migrating these services to cloud computing, but it’s possible, as the momentum is in favor of computing demand, despite persistent concerns about security and governance.

 

Security and Privacy

The main challenge to cloud computing is how it addresses the security and privacy concerns of businesses thinking of adopting it. The fact that the valuable enterprise data will reside outside the corporate firewall raises serious concerns. Hacking and various attacks on cloud infrastructure are affecting multiple (potential) clients. These risks can be mitigated by using security applications, encrypted file systems, data loss software, and buying security hardware to track unusual behavior across servers.

 

Reliability and Availability

Cloud providers still lack round-the-clock service; this results in frequent outages. It is important to monitor the service being provided using internal or third-party tools. It is vital to have plans to supervise usage, SLAs, performance, robustness, and business dependency of these services.

Cloud Computing: Trends for 2022 and beyond

 

Cloud Computing Trends for 2022

Although cloud computing isn’t a new concept and the benefits of the cloud are well known for a long time, cost optimization, security, data protection, and automation remain top concerns for some organizations. However, during 2020 and 2021, cloud computing exploded with the COVID-19 pandemic as more and more organizations moved most of their applications to the cloud. This decision has been motivated by the urgent need for flexibility within a very short time in order to be able to react to changed framework conditions. We will also witness the growth of rapid adoption in 2022. According to predictions from Gartner, global spending on cloud services is expected to reach over $482 billion in 2022, up from $313 billion in 2020. This shows how cloud technologies are one of the most important pillars of modern IT infrastructure today and will continue to gain importance in the future.

 

For very different reasons, companies decide to migrate their digital business processes to the cloud. According to the Flexera 2021 State of the Cloud Report, performance and scalability are among the main reasons, alongside easier data access and management and lower overall costs. Accordingly, 61% of businesses migrated their workloads to the cloud in 2020, from which 92 percent of enterprises have a multi-cloud strategy; 80 percent have a hybrid cloud strategy. But regardless of where they are at in their journey  towards the cloud, organizations should keep an eye on the following trends:

 

The public cloud is gaining in importance within hybrid scenarios

Moving to the cloud is complicated and deciding which cloud type is the right one for an organization depends on multiple factors, such as the requirements for computing, storage, and services. Each cloud model has its own advantages and disadvantages that companies have to weigh up. Hybrid cloud scenarios (i.e. an environment made up of on-premises and a cloud) have established themselves as the de-facto standard for cloud deployment – according to the Flexera study, public cloud adoption continues to accelerate as 36 percent of those surveyed already spend more than $12 million per year on public clouds and 55 percent of enterprise workloads are expected to be in a public cloud within twelve months. The reasons given for this were data protection-relevant applications and business-critical processes.

 

Real-time analytics and IoT are on the rise

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Companies make use of a number of cloud services to solve the different business requirements. Analytics and infrastructure services still comes first, followed by data for machine learning (ML) and artificial intelligence (AI). The Global Connected Device Analytics Market is estimated to be USD 14.9 Bn by the end of 2021 and is expected to reach USD 40.7 Bn by 2026, growing at a CAGR of 22.3%. This huge need for connected devices in the different industries has been motivated due to remote monitoring of employees working from home during the Covid-19 crisis. Additionally, IoT analytics is becoming a core investment strategy for various organizations to leverage analytics as a core competency to deliver better outcomes and to drive differentiation for their product and service offerings. The more intensively and consistently companies use the cloud, the more benefits they can derive from it. This trend will continue in the next year and more advanced use cases such as ML / AI analyses, IoT, but also stream processing will continue to increase.

 

Companies are increasingly lacking cloud skills

As businesses rapidly transition their processes and data over to the cloud, the demand for digital experts is increasing but the skill gap in this area can make it an unrealistic goal for some companies. There is a huge skills gap in cloud computing, both within organizations’ current workforce and in the hiring pool and the situation will worsen in the near future. Organizations are facing the issue of finding skilled IT professionals to cover core missions with critical skill sets to be able to support their business objectives. They need specialist knowledge in handling and managing huge amounts of data in the cloud, as well as building a holistic data architecture. Reports show that missing or limited cloud skills is the greatest challenge in connection with cloud migration for almost a quarter of companies (24%). As more and more organizations are pushing their digital transformation, the need for data and cloud architects or cloud DevOps engineers and cloud system administrators is increasing, but it is becoming increasingly difficult to meet them. Its foreseeable companies will concentrate even more on training their existing employees in order to acquire the required cloud skills, while at the same time relying more on user-friendly self-service solutions in the coming years.

 

As said previously, the global spending on cloud services is expected to reach over $482 billion in 2022, up from $313 billion in 2020 – the next coming years will therefore primarily be about getting the maximum benefit from cloud integration. For this purpose, companies should, on the one hand, particularly tackle the development of the required skills and, on the other hand, consider specifically which IT & business requirements they can solve with the help of the cloud. This enables them to take their cloud usage and business to the next level.

 

Sources:

Top Strategic Technology Trends for 2022: Cloud-Native Platforms

Cloud Shift Impacts All IT Markets

Flexera Releases 2021 State of the Cloud Report

The Next Generation Intelligent IT Infrastructure

 

The rapid adoption of cloud computing, big data, and IoT devices proliferation contribute to the increasing complexity of business IT environments today. These and other key trends are challenging organizations to effectively and efficiently manage and secure their IT environment and to assure IT service levels and achieve business success. It doesn’t matter whether it’s hosting or outsourcing your own hardware to a colocation. The first question from customers is always: How safe is it to give your own data to someone else? Hardware, software, infrastructures, either of a start-up of a big enterprise, everyone needs the latest, high-quality, and powerful IT. But of course, these facilities come with an important amount of financial resources.

 

In addition to that, today’s IT infrastructures are being overwrought to the breaking point by new technologies and applications, such as requirements of controlling mobile devices, maintaining visibility into virtualized resources and services, including on-premise, cloud, hybrid-cloud, virtualized, distributed, and mobile components, achieving increasingly demanding SLAs for critical business applications and so on. Managing IT services and automating all aspects of IT management in remote and distributed environments with ease is often labor-intensive and costly for organizations because their available IT management tools are often poorly integrated. Effective IT service management becomes more challenging when some resources are on-premise and some are in the cloud.

 

This post outlines what IT professionals should look for when determining the enterprise legacy infrastructure transformation and make it ready for the digital future.

 

    • Even in 2020, many enterprises still use outdated systems, without considering that they can be exposed to crashes any time and they can be left with no backup plan!. If the X software worked perfectly fine for years, it doesn’t mean that you can run it for life. Outdated software applications can, unfortunately, hurt your business and waste time by slowing down production, wasting money in the long run, and even increasing vulnerability to security threats. Thus, one should not ignore or underestimate the hidden costs of legacy software.
      Research indicates that costs related to maintaining legacy software can exceed the original development budget in just 5 years and take up as much as 75% of the IT budget. In addition to that, the estimated average cost of a data breach is $4 million according to IBM.
      So instead of being stuck with your old software, letting new opportunities in your industry go unnoticed, you need to follow industry trends by making sure that you are focusing 100% on your business demands. This creates more business openings for you and you can take over your market share.

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    • Call it a digital transformation strategy or call it smart business, by removing unnecessary software your company can re-organize your IT infrastructure to align with existing or new business goals.  As enterprise licenses aren’t cheap and every single seat is worth from hundreds to thousands, a regular software audit allows you to cut the cost of unused software and potentially save millions a year.

 

    • Despite all of the technology at our disposal, many enterprises still rely on manual, repetitive tasks in industries such as transportation and logistics, financial services, manufacturing, insurance and finance, and accounting. Mostly the reason for performing manual tasks instead of opting for automation is because old legacy systems are difficult to integrate with modern applications. By automating every manual, repetitive task to the company can multiply efficiency and profitability, increase workflow efficiencies, and freeing up their staff for higher-value work.

 

    • In Cloud computing ear, the business landscape is revolutionizing. Cloud computing offers increased flexibility, efficiency, accessibility, scalability, and collaboration. Plus, cloud computing can help you get your entire staff on the same up-to-date software. The biggest concern for many IT teams has been tackling the growth of data. If your organization is still not taking advantage of the cloud, it’s time for an IT infrastructure upgrade. This shift will not only give you the increased processing power and data storage your company needs, but it will also give your staff the consistency, flexibility, and improved collaboration tools to help you get the most from your technology.

 

Sources:

Accenture: Intelligence unlocks vision

Multi-Cloud: Tips to Develop an Effective Cloud Security Strategy

The term security encompasses more than just protecting a company. A holistic security strategy supports all business processes instead of limiting them. In order to implement a holistic cloud strategy, suitable security tools must be integrated and responsibilities must be clearly assigned in order to avoid misunderstandings and to be able to defend the complex cloud environments against cyber-attacks. As the complexity is increasing, more and more companies are realizing that a single cloud environment is not a beneficial approach for the long run. Whether private or public, every cloud service offers different tools and options, from advanced machine learning tools to affordable storage space prices.

 

Cloud enables companies’ greater agility and scalability, higher performance, and faster access to innovative technologies, all of which help a business to gain a competitive edge by allowing them to be effective in today’s digital market. Knowing that the multitude of cloud services opens up many options for optimizing individual business processes, the multi-cloud world is the new normal for many enterprises. Companies are pursuing a cloud strategy that takes a multi-cloud environment into account. This requires a uniform security platform that carries out security controls and compliance for hosts regardless of the cloud provider or the deployment model used, in order to meet the requirements of the several clouds.

 

Multi-Cloud Tips to Develop an Effective Cloud Security Strategy

 

Choosing a persuasive or strong cloud security provider depends on the company’s ability to address security controls like compliance and privacy issues, protect the data by security measures and few tests from malicious threats, hijacking, etc. Additionally, cloud security is a shared responsibility between the provider and the customer. In the shared responsibility model, there are basically three categories of responsibilities: responsibilities that are always those of the provider, responsibilities that are always those of the customer, and responsibilities that vary depending on the service model: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), or Software-as-a-Service (SaaS), such as cloud email.

 

Here below are few tips that can be helpful to develop an effective multi-cloud security strategy:

 

  • Data protection should be the highest priority

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The main topics in IT security have not changed fundamentally in recent years. Even in a multi-cloud environment, many of them continue to play a major role – but the weighting has shifted with the General Data Protection Regulation (GDPR). Data protection is now at the top of the priority list for European companies. And with the passage of the “Cloud Act” adopted in 2018, things became even more complex for European companies. Therefore, using only national cloud providers isn’t the only solution. Much more important is the question of which workloads are being processed. This means that non-critical applications that do not involve any personal data can continue to run in international data centers of cloud providers.

 

  • Encrypt data consistently

No matter where companies store their data and whether this is to be classified as critical or not – there will always be people who try to overcome barriers. Encryption should therefore be a standard in every company. Consistent encryption on three levels is ideal: the transport route, the storage, and the data itself. The current trend is towards on-the-fly encryption – that is, only users with the correct key are authorized to access information. If you close an open file, the lock will snap shut again. In addition to the encryption, organizations must perform an inventory of security vulnerabilities that they have and those they had in the past because understanding them clearly can help appropriately to shape their organization’s cloud security efforts in the future. So, IT managers must ask the following questions while defining the vulnerabilities: What kind of attacks can the vulnerability of their organization attract? What vulnerabilities does the industry deal with currently? What kind of security threats are they unprepared for?

 

  • Identity and access management

Anyone who works in a multi-cloud environment usually accesses countless cloud services from various providers every day. That is why professional Identity and Access Management (IAM) is also a must. In this way, companies prevent employees from using the same (sometimes insecure) password for every service, for example. Without a comprehensive IAM plan, an organization is certainly more vulnerable to attacks and data breaches. Thus, integrating the right IAM strategy with an evolving multi-cloud architecture will help protect threats and ensure that the right users get access to the right information when they need it.

 

  • Transparency and scalability

The strength of a cloud-based enterprise environment lies in its scalability and elasticity. However, using multiple platforms in a multi-cloud approach often leads to an unpredictable data flow, resulting in a higher level of complexity, particularly security issues. Therefore, multi-cloud security must be integrated to work effectively. The integration of security tools enables cross-platform transparency and consistent security. The cloud security architecture must also be dynamic, flexible, and able to move with cloud workloads and applications as they expand.

 

Undoubtedly the digital transformation is leading the transition to multi-cloud networks and requires strict security management. By integrating the native security features of all clouds into the multi-cloud security framework, companies can multiply their cloud security. This is the only way to protect valuable data, workflows, and resources while meeting the challenges of performance, scalability, and complexity of a constantly evolving multi-cloud environment.

4 Cloud Computing myths, debunked

Flexibility, scalability, and long-term business resilience are the huge boost to cloud adoption. The future of the cloud is bright. Over $ 287 billion growth is expected during 2021-2025 for the global cloud computing market. Yet there are many myths surrounding the use of cloud solutions that prevent companies from taking benefits of cloud services. Even after twenty years, the use of cloud applications such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) keeps coming up against it vague fears and rejection. It’s because, in addition to data security, access and control options also play a hugely important role. Cloud solutions certainly pose certain risks for companies and their data if not managed correctly. However, many myths are way much exaggerated. In addition, many risks not only affect the cloud, but also locally operated networks.

The following misconceptions about cloud computing prevent companies from taking advantage of the cloud and have made the acceptance of cloud services particularly difficult.

 

The company will lose control over its own data

Many CIOs and IT managers or administrators often feel that they will completely lose control of companies’ sensitive data and its management once it’s migrated to the cloud. Additionally, they also carry the fear of dependence on providers as the control over the server is also given away to the cloud provider. Overall companies are particularly concerned with the location of the data and a possible loss of control over their own data. But even though they have passed the operation and maintenance of servers into third-party hands, they are and will remain the sole owner at all times and can retain all rights and control over their data and can decide independently, depending on the services used, where the company-critical backup and archiving data is stored. Because administrators and those responsible for data no longer have to worry about small details such as updates or background processes, they can spend more time optimizing the infrastructure and suitable strategies for business growth.

 

The data is not safe in the cloud

For a long time, it was believed that cloud solutions are more susceptible to attacks than the company’s own IT. Cloud services, in themselves, are exceptionally secure. However, many companies are reluctant to cloud adoption and have huge concerns about cyber-attacks, data theft, and industrial espionage. Because there is no such thing as absolute security, more and more cloud providers are creating a secure cloud for their customers. Their business model hinges on preventing breaches and maintaining public and customer trust. Additionally, all cloud providers have to comply with stringent regulations and this requires them to put robust security measures in place, including the use of strict protocols and advanced security tools. Also, the latest data centers are equipped with various security measures and offer users a guaranteed high level of security for their data.

 

Migrating to the cloud is complicated

The companies’ IT departments are often considered to be busy maintaining ongoing day-to-day operations. They don’t have enough time or know-how to modernize IT operations through the cloud. They are persuaded that migration to the cloud will come along with additional requirements, will also increase the complexity of the IT infrastructure and administrative effort. BUT every cloud provider offers their support whether it’s before or during the migration and ensures that everything runs smoothly. The greatest advantages only become visible after the conversion and cloud automation of many tasks and processes, on the one hand, it relieves computer scientists in their everyday work as they no longer have to worry about updates, backups, archiving, or the complicated maintenance of IT systems.  On the other hand, it can meet the requirements of the specialist departments faster than conventional infrastructures.

A company that plans to move its applications from a data center to a large cloud platform, must check whether their applications are cloud-ready or need to be revised before the migration. Otherwise, they’ll end up paying a high price for a platform that they cannot take full advantage of.

 

Cloud is more expensive than the in-house computing

Cloud migrations are complex projects that quickly lead to unexpected costs. As with all operating costs, it is not just the monthly cost that needs to be considered, but also the total cost of ownership (TCO). The cost of going to the cloud depends on several factors such as license obligations, data center, and the company’s ability to control and optimize cloud consumption. The big advantage of the cloud is the flexible scaling and that you only pay for the capacities that you actually use. The up-front costs of cloud migration are often significant, but the longer-term savings usually dwarf that initial cost. Choosing the right provider and achieving more performance and lower costs requires know-how and experience with the multitude of services.

 

Almost every company knows how important it is to keep up with the times in the digital age in order to remain competitive. Cloud computing is playing a vital role in responding to the challenges of these unpredictable times. The cloud is seen as a tried and tested method to achieve the necessary flexibility and agility. It has proven to be an important driver of digital transformation.

 

Sources:

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5 Top Recommendations for Public Cloud Protection

5 Top Recommendations for Public Cloud Protection

Public cloud storage provides virtually unlimited capacity to users on-demand, accessible via the web, in a free or paid per use capacity. The most prominent examples of public cloud storage are Google Apps, Office 365, file sharing applications such as Dropbox, and so on.

From a legal perspective, security aspects of cloud storage especially arise with regard to data protection regulations. Data protection law is focused on the protection of the data of individuals, their right to storing, processing, and use. In data protection law, particularly relevant roles are the data subject, it’s the one who needs to be protected, the controller aka cloud user, the processor means the cloud application provider, and the subcontractor of the processor which is the cloud storage provider. As Increasingly, hackers are gaining access to the public cloud resources of businesses and organizations due to the careless handling of the keys access of authorized users, companies must know how to protect sensitive information contained in scripts or configuration files by carefully planning the security and privacy aspects of cloud computing solutions before engaging them.

 

Here below are the top 5 recommendations for public cloud users to protect their data from misuse:

 

  • Understand the public cloud computing environment offered by the cloud provider

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The responsibilities of both the organization and the cloud provider vary depending on the service model. Organizations using cloud services must understand their responsibilities over the public computing environment and the implications for security and privacy. The cloud provider support and investment in data security or privacy should be verified before any collaboration. If you understand well enough the policies, procedures, and technical controls used by a cloud provider you can calculate the security and privacy risks involved. By having a complete picture of the protection provided by the security and privacy controls, organizations can improve the ability to assess and manage risk accurately, including mitigating risk by employing appropriate techniques and procedures for the continuous monitoring of the security state of the system.

 

  • Evaluate your organizational security and privacy requirements

 

A public cloud provider’s security package isn’t custom-made specifically for an organization’s security and privacy needs. Therefore, from a risk perspective, organizations must be well informed if their selected public cloud computing solution is configurable, deployable, and manageable to meet their security, privacy, and other requirements. Organizations can also have negotiated agreements about security and privacy details, such as the vetting of employees, data ownership and exit rights, breach notification, data encryption, tracking and reporting service effectiveness, compliance with laws and regulations, etc. With the growing number of cloud providers and the range of services from which to choose, organizations must pay attention when selecting and moving functions to the cloud.

 

  • Ensure that the client-side computing environment meets organizational security and privacy requirements for cloud computing

 

Cloud computing encompasses both a server and a client-side. Services from different cloud providers, as well as cloud-based applications developed by the organization, can impose more exciting demands on the client, which may have implications for security and privacy that need to be taken into consideration.

Because of their practical use, web browsers are a key element for client-side access to cloud computing services. Clients may also run a small lightweight application on the desktop and mobile devices to access services. The numerous available plug-ins and extensions for Web browsers are well-known for their security problems. Many browser add-ons also do not provide automatic updates, increasing the persistence of any existing vulnerabilities.

Having a backdoor Trojan, keystroke logger, or another type of malware running on a client device undermines the security and privacy of public cloud services as well as other Internet-facing public services accessed. As part of the overall cloud computing security architecture, organizations should review existing security and privacy measures and employ additional ones, if necessary, to secure the client-side.

 

  • ID and rights management:

 

Identity and authorization management is a major part of access control. A cloud service provider should make these secure using suitable organizational, personnel, and technical measures. If not done correctly, hackers can easily find these unprotected keys and gain direct access to the exposed cloud environment they use for data theft, account takeover, and resource exploitation. The damage can reach 4-5 digit amounts per day. For this reason, all Cloud Computing platforms should support identity management. The basis for this support can be either that a service provider supplies the customer with an ID management system themselves, or that they supply interfaces to external identity providers.

 

  • Early detection is crucial

 

There are those who believe the attackers have already “won,” and thus choose to implement a detection and remediation approach. However, with complete awareness of your environment, a prevention attitude is indeed possible. Therefore, the final step is to implement that monitors any activity for potentially harmful behavior. Implementing detection measures that look for correlate and warn against potentially malicious behavioral indicators will help detect hackers early enough before they can do more damage. Applying application-specific threat prevention policies to allowed application flows is a key step in adhering to a prevention philosophy. Application-specific threat prevention policies can block known threats, including vulnerability exploits, malware, and malware-generated command-and-control traffic.

 

Organizations are using the public cloud to achieve more efficient time to market and improve the overall business. However, when executives create business strategies, cloud technologies and cloud service providers (CSP) must be considered. Developing a good roadmap and checklist for due diligence when evaluating technologies and CSPs is essential for the greatest chance of success. An organization that hurries to choose CSPs without a case study, exposes itself to commercial, financial, technical, legal, and compliance risks that jeopardize its success.

 

Sources :

3 key benefits of Public Cloud for E-commerce

Is Your Public Cloud Data Secure?

The pace of technological progress is rising, hardly a day goes by without we witness critical changes or transformation in all sectors. In the past, we had to physically rent a space to sell our goods, but Ecommerce emerged and offered companies the opportunity to sell items online without having to rent a store like before. Additionally, with the COVID-19 crisis, we’ve witnessed an expansion of e-commerce from luxury goods and services to everyday necessities.

 

Ecommerce in Belgium was worth € 10.26 billion in 2020. That’s a decrease of 10% compared to 2019. Of course, the decline has everything to do with the coronavirus outbreak. Belgians bought far fewer services online but ordered more products. The corona crisis has massively accelerated numerous developments and trends that concern manufacturers, brands and retailers. Customers place more value on personalized offers, good service, and availability.

 

These days, many more e-commerce companies, especially small and medium-sized businesses are also taking advantage of the benefits of cloud computing. Businesses are recognizing the advantages of investing in cloud computing technologies for their massive opportunities such as efficiency, reliability, scalability, improving availability, global rollout, agile development, and business continuity. Ecommerce leaders are accelerating their journey to the public cloud as the future of e-commerce lies init.

 

Companies that want to sell successfully online in the long term are required to use technological resources efficiently. A suitable e-commerce platform enables a comprehensive and flexible process independent of the cloud provider and commerce platform to manage all operations related to online sales of products or services. Companies can solve their core problems, such as lack of resources and excessive costs by getting an external partner with in-depth e-commerce expertise and application know-how in the early stages of an e-commerce project.

 

Manufacturers and brands from a wide range of industries are recognizing the opportunities related to increasing their direct sales (D2C) and are building their own e-commerce channels apart from retail. To achieve these results, companies are confronted with challenges in the implementation and development phase on the technical side. For small and medium-sized organizations, the most common hurdles are the lack of resources and the people to operate an e-commerce system – for processes, task arrangement, technology, and organization – and the often-high costs of an e-commerce operation that offers reliability, scalability, and high availability.

 

The problems in implementing and maintaining the technical infrastructure are countered by customer requirements, which are increasing enormously in e-commerce. More and more users are using their mobile devices to shop and expect high-resolution images, videos or virtual reality integration, which is what sophisticated product data management is all about and requires high scalability and agility in development. It’s the main reason why the cloud is becoming more and more relevant for technologies and applications related to e-commerce. The public cloud in particular offers three key advantages for e-commerce.

 
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Scalability during peak loads

Learning to manage peak traffic times is critical as you grow because even some of the biggest brands sometimes struggle to keep up with traffic. The infrastructure and platform must be able to cope during peak times like Black Friday or the week leading up to festive events otherwise there is a risk of negative effects on the user experience, the conversion rate, and customer loyalty. Public cloud solutions offer the possibility of autoscaling, which enables additional computing and storage power to be accessed within seconds and traffic fluctuations to be dealt with. This scalability ensures consistently good performance by handling demand spikes effectively.

 

Agile and secure development

In the cloud, unlike on-premises, the required infrastructure, such as test systems, is available as Infrastructure as a Service (IaaS) within minutes. There is no lead time or IT ordering processes. Adjustments can be made at any time from anywhere and in some cases even automatically – especially for the user experience, it may be necessary to switch new features live quickly. The public cloud leads the way when it comes to agility and speed. Public cloud solutions help speed up the application development process; enabling you to flexibly meet end-user needs. By opting for public cloud, you can focus on what you do best, create value and drive revenue, rather than spend time managing your IT infrastructure and platforms. Today, analysis shows that the public cloud is more secure than its private counterpart. As large public cloud providers simply cannot afford security breaches, they make big investments in security. They offer more security, as it is based on proven and reliable platforms and providers can maintain their conformity with the GDPR, for example, via certificates.

 

Performance across national borders

A global rollout or expansion of e-commerce to other countries can be achieved quickly and inexpensively via the public cloud. The content is delivered via a network of edge servers so that users from other countries can access data. The globally available infrastructure means the improved performance of your website by securely delivering data, videos, applications, and APIs to customers globally with low latency and high transfer.

 

Conclusion

Cloud infrastructure offers e-commerce businesses good incentives. Cloud services are enabling e-commerce companies to reach their goals and provide a customized experience to the customers. In order to be successful in e-commerce in the long term, companies are well-advised to use the full potential of all technological possibilities. It is important to ensure that the entire value chain from planning to implementation, operation, and optimization of an e-commerce solution is strategically covered.

Moving to a public cloud is a critical business decision. Get in touch with our experts if you wish to bring flexibility, agility, scalability, and reliability to your business!

Cybersecurity Trends to watch for in 2021

What are the trends for cybersecurity in 2021

The fastest-growing cyber-attacks numbers illustrate the challenge of ensuring resilience and continuity in a connected world. Additionally, the COVID19 outbreak has changed the entire situation of the economy and created confusion for businesses/industries around the globe. In order to protect the health of employees and respond to the health restrictions, companies that have never done remote work now also started working remotely.

 

Most organizations are getting better at preventing direct cyberattacks by improving the basics of cybersecurity and the main focus is on cyber resilience. With the cyber-resilient strategies in place, businesses assemble the capabilities of cybersecurity, business continuity, and enterprise resilience. These well-thought strategies help to quickly detect cyber threats and minimize the damage and continue to operate under attack.

 

The year 2020 has proven unpredictable and challenging from multiple perspectives. Among those challenges is a long list of cyber-attacks. Following the rise of remote working, cybercriminals are more than ready to seize opportunities to exploit security weaknesses for monetary and disruptive gains.

What threats are expected in 2021? How could the cyber threat landscape evolve?

 

Challenge n°1: Work from home

 

The COVID-19 has changed the work environment in unexpected ways. The obligation to socially isolate has forced innovation in how we work, as businesses and governments to maintain the continuity of operations. This resulted in a massive shift to remote work. Personal devices and home networks are being used to log in from home on business infrastructure. As increasing numbers of employees work from home with their personal devices, enterprise IT security operations become less effective and are unable to shield devices and infrastructure against any compromise and disruption through phishing campaigns, the spread of malware, faking official websites, etc.

 

A study sponsored by IBM Security and conducted by Morning Consult, interrogated 2000 working remotely Americans find out that more than 80% of respondents either rarely worked from home or not at all prior to the pandemic, and, more than half are now doing so with no new security policies to help guide them. This shift to working from home has exposed new security risks and has left nearly 50% of those employees worried about impending cyber threats in their new home office settings.

 

Many businesses will continue to suffer in 2021, because a mixed work model will establish itself sustainably in organizations, with all the risks it entails. Thus, if your company is to gain value from the remote work, your IT department must become more agile by pivoting their organizations to enable pervasive and safe remote working.

 

Challenge n°2: Automation

 

Automation is another emerging challenge in the desire to achieve high flexibility and diversity through remote working. Learning how to maintain productivity by automating activities is one of the top priorities of 2021. The primary reason for automating mundane and repeatable tasks is to allow people to shift focus to problem-solving activities. Thus, from a cyber-security point of view, automation is the only way to reduce the volume of these modern automated cyberattacks and enable faster prevention.

 

Attackers will continue to use automation to move fast and deploy new threats swiftly. Therefore, by allowing a faster risk and anomalies analyze, faster detection and intervention can be done. A next-generation security platform can assist your IT teams to rapidly analyze data, turn unknown threats into known threats, create an attack DNA, and automatically create and enforce a full set of protections through the organization to stop the attack lifecycle. Employing automation as part of your cybersecurity efforts is the only way to keep up and defending against automated threats efficiently.

 

Challenge n°3: Artificial Intelligence Threats

 

There’s been a lot of buzz around Artificial Intelligence for the past few years, and now it’s playing an important role in many sectors such as banking and financial services, logistics and transportation, retail, automotive, healthcare, education, and even cybersecurity. And it will continue to gain popularity in 2021.

 

With cyber-attacks growing both in complexity and volume, traditional methods to identify threats and malware are not enough. In a business world where customers’ privacy and data protection are vital, cybersecurity issues are becoming a day-to-day struggle for businesses around the world. With AI, cybercriminals can devote less time and effort in coordinating a large attack on an organization’s data system.

 

Companies need to sharpen the focus on a strong cybersecurity culture and adopt a risk-based approach to security. As recovering from security breaches is time and money consuming, companies have started to invest in AI to better detect and automatically block cyber attacks.

 

Challenge n°4: 5G

 

5G is an advanced wireless network technology developed based on 802.11ac IEEE wireless standard. It promises to provide significant opportunities to transform organizations across industries and geographies by providing higher data exchange speed and performance, real-time functions, and wireless connectivity to avoid the risks of wired solutions. Business communications will be enhanced and connectivity tailored to every industry.

 

However cyber threats pose great risks to businesses and industries transitioning to 5G.  As the 5G digital environment opens the door for miscellaneous players beyond traditional cellular networks that are looking to transform their ecosystem through 5G, security often falls short. It’s essential to have a 5G security reference document ready to help detect and prevent cyber-attacks. Before any transition to 5G, infrastructure, as well as industries, must be able to protect their 5G networks and be prepared at any time to deal with the impact of cyber threats.

 

 

Sources

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2021: Intelligent Data Management Will Enable the Future of Your Business

2021 Intelligent Data Management Will Enable the Future of Your Business

The EU’s GDPR has a major impact on the data privacy ecosystem. The regulation is an essential step to strengthen individuals’ / Business fundamental rights in the digital era we are living in. After two years of the introduction of the GDPR, the following question still arises: What will 2021 bring in terms of data management and data protection? According to Gartner, by 2023, 65% of the world’s population will have its personal data covered under some kind of modern privacy regulations.

 

It’s predicted that the technology for the preparation, control and administration of data will become much more efficient so that data is available more quickly and reliably. With the focus on foundational components of data integration, data governance, and data preparation the effectiveness of big data projects can be improved. With the right technology, data management can also drive enormous business value and support digital transformation. It’ll certainly help organizations to better manage the availability, usability, integrity, and security of their enterprise data.

 

Data has evolved over the years and will continue to evolve. Today’s organizations are data-centric; they accumulate enormous amounts of information in many different formats. Those who are unprepared to deal with the amount of data will be left behind compared to those ready to welcome all business opportunities that big data has to offer. Here below are 5 main areas that play a huge role in the good preparation of data management.

 

  • Data orchestration

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A frequently used term in the sales and marketing domain for whom data has a high priority as their data is the foundation of just about everything, they do. Simply put, data orchestration is the automation of data-driven processes that includes data preparation, making decisions based on that data, and taking actions based on those decisions. Data and API integration and data movement need to grow together to support all kinds of DataOps (data operations) methods. It’s a process that often spans across many different systems, departments, and types of data. It also requires a combination of different technologies that ensure a central data flow. This is the only way to orchestrate data-related activities – across different locations, on-premise or in the cloud.

 

  • Data discovery

In this process, relevant data insights are uncovering and transferred to the business users who need them. A comprehensive directory for searching, making available, saving, and interpreting data and other objects is becoming more and more important. Advanced Analytics enables the automation of mundane data management tasks and frees up resources to actually generate added value from the data. With the right use of data discovery tools, even the non-IT staff can easily access complex data sets and draw out the information they need. This process of knowledge discovery can be performed by anyone, without the technical know-how that was required in the past.

 

  • Data preparation

“Data preparation is one of the most difficult and time-consuming challenges facing business users of BI and data discovery tools, as well as advanced analytics platforms, Rita Sallam – Research Vice-President at Gartner.” However Artificial intelligence (AI) has solved this problem by creating the basis for advanced data transformation and by enabling automatic cleansing and consolidation of data. This enables users without any prior technical knowledge to use data.

 

  • Model management

Model Management technologies help organizations consistently and safely in developing, validating, delivering, and monitoring models that create a competitive advantage. The focus is to put the central control of all models in a single application instead of the separate management of individual models. In view of the fact that many analytical models never go into production or quickly become obsolete (model decay), it is important that companies can quickly and easily register new models, adapt, track, evaluate, publish, regulate and document them.  Previously, model management referred just to monitoring production models, but it’s beyond that. Models drive new breakthroughs and operational improvements for businesses. According to a McKinsey study, organizations that leveraged models extensively showed a 7.5% profit margin advantage over their peers, whereas those that did not use models had a 2.5% profit margin deficit compared to their peers.

 

  • Data governance

“A data governance plan, supported by effective technology, is a driving force to help document the basis for lawful processing.” Data protection laws require companies to have data governance programs that provide “data privacy by default” and define policies, roles, and responsibilities for the access, management, security, and use of personal data. If they do not proactively advance standards and programs, they not only run the risk of contradicting legal requirements but they could also lose the trust of their partners/customers. With the use of advanced analytics and artificial intelligence in decision-making, they are therefore even more challenged to bring transparency to the algorithms.

 

Sources:

 

Industry 4.0: Future of Manufacturing

Industry 4.0: Future of Manufacturing

The concept of Fourth Industrial Revolution was first introduced in 2015 by Klaus Schwab, executive chairman of the World Economic Forum. It’s characterised by the increasing digitization and interconnection of products, smart machines, value chains and business models. Since connected machines collect a tremendous volume of data that can not only analyse that data to identify new patterns and insights but also inform maintenance, performance and other issues, that are impossible for a human to do in a reasonable timeframe. Today, Industry 4.0 offers the opportunity to factories across the globe, the opportunity to optimize their operations quickly and efficiently by knowing what needs attention.

 

Here below technologies that are the significant driver for the advance of Industrial Internet Solutions aka, IIOT:

  • The Internet of Things (and services)
  • The Digitization and Interconnection of products and services
  • Virtual and Augmented reality
  • Cloud Computing
  • Intelligent machines and autonomous Systems
  • Big data and Analytics
  • Cybersecurity

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The Internet of Things is nothing new. It is already present all around us and is growing strongly. Every day new things are linked together. This growing list of objects includes everything from your thermostat to the parking meters, household appliances, heating and cooling systems, vehicles, health and fitness monitors, environmental sensors, and more. Many of these devices can already observe their surroundings, exchange information over internet and report this data back to the user.

 

The adoption of IOT in the world of production is also increasing at an exponential rate. By 2025, Industry 4.0 –the Fourth Industrial Revolution–is expected to generate close to $1 trillion in economic value, much of it is unlocked by continuous operational efficiencies through traditional cost-cutting measures, significant transformation in the way goods are produced and delivered and large manufacturers are becoming more streamlined, efficient, and agile.

 

Whether we call it Smart Industry, Factory Automation or Industry 4.0, the goal remains the same, enable companies to produce more efficiently, which translates into an increased efficient manufacturing and production. The aim of Industry 4.0 is to make factories “smart factories”, producing “smart products with autonomous machines that will self-monitor and organize their own maintenance.

 

More and more companies are using the IIOT to capture new growth through increasing production and creating new hybrid business models, exploiting intelligent technologies to fuel innovation, and transform their workforce. It’s quite clear that the Fourth Industrial Revolution represents a fundamental change in the way we live, work and relate to one another. There is huge potential for digitization and innovation to add value to factories and to contribute to the environment and biodiversity.

 

However, to unlock the true potential of this revolution, companies must digitise and integrate their processes vertically across their entire organisation, from product development and purchasing, through manufacturing, logistics and service. Factories and warehouses must adapt and implement a digital mindset, leverage the IIoT and digitalization to become much more agile and efficient in their production lines around the world.

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