Solving the Intermittent Connectivity Conundrum

IoT devices need internet connectivity to work. However, even the strongest network is bound to experience overload at some point. No matter how sophisticated technology gets, constantly being connected to a network is a fundamental weakness, especially on an industrial scale.

More companies these days favor IoT devices that use intermittent connectivity protocols, as opposed to constant wifi or cellular connections, as a way of overcoming this challenge.

The logistics industry provides a great case study for the positives of intermittent connectivity. Traditionally, data logger devices that connect using radio-frequency identification (RFID) transmitters or even USB cables have been used to collect condition and location information on stored and shipped materials. But plugging in all those loggers intermittently is extremely labor intensive, and RFID syncs with unreliable towers that are dependent on expensive proprietary systems.

Finnish firm Logmore’s dynamic e-ink QR code solution is an example of how to use intermittent connectivity at scale. IoT sensors attached to the tags collect information, which refreshes a QR code on a small display. Then, anyone with a smartphone can scan the codes and push the data to Logmore’s cloud service, which stakeholders can connect to via APIs to use the data as they please.

Data, Data and Even More Data

Data is essential to drive all decisions, make every process more efficient, and optimize both marketing and production strategies. Without efficiency we have waste, and with waste, we get pollution on one hand, and reduced profits on the other.

The best Artificial Intelligence (AI) algorithms can make sense of the most colossally sized Big Data stack to fuel the smartest data-driven decision, but unless something collects this data in the first place, there’s only so much they can do.

Well, in a nutshell the industrial IoT can provide plenty of data. From quality control, to logistics, to manufacturing, IIoTs can be leveraged to extract vital information about all the key performance indicators of the entire operation. Labor rates and retention can be finely tuned up to prevent shortages as data is provided from intelligent IioT sources such as sensors and even new robots.

A curious example of this is the OTTO 100, a new autonomous mobile robot that is used to transport light materials across a factory. Equipped with smart sensors, the robot acts as a mobile performance monitoring/data collection device that extracts information about surrounding equipment, layout adjustments, the performance of materials being moved around, and much more. This data is then stored into the main database, and used to make a broad range of optimizations and improvements of the entire production process.

Are Smart Factories Finally Becoming a Reality?

Seamlessly connecting all production steps in a perfectly streamlined, and fully automated process has always been the dream of the whole industrial sector. The whole idea of “Smart Factories” has always been challenged so far by our own technological limitations, that we’re now on the verge of surpassing once and forever.

IIOTs are part of this revolution as they can provide a constant stream of fundamental information about the operating conditions of machinery and the efficiency of each individual production step. Sensors and robots can leverage the enormous potential of AI technologies to establish an ever-evolving, fully automated production ecosystem, from machinery to logistics. Always-connected smart equipment can autonomously adapt to the constantly changing requirements of the production environment in an endlessly process of self-optimization.

And the best part, is that, today, all these jaw-dropping ideas are not part of some futuristic fiction anymore. Just as we speak, this Industry 4.0 dream is quickly becoming a reality in Amberg, Germany, where it’s taking the form of the latest Siemens Electronic Works facility.

Making Healthcare Healthier

What’s healthier than a healthy healthcare system? Well, since their advent, IIoTs count among the most disruptive technologies that revolutionized the healthcare sector. Even ordinary medical equipment is now able to gather and share vital data that can significantly ease the life of all stakeholders. Medical practitioners are enjoying their benefits in the form of reduced workload that helps them focus on attending their patients’ needs, as well as detailed insights into symptoms and therapy effectiveness to enhance diagnosis and health outcomes. (Read also: How AI in Healthcare is Identifying Risks and Saving Money.)

This same information can be leveraged by hospital management as well to monitor patients’ health, optimize maintenance of costly machinery (such as Magnetic Resonance Imaging machines), and track the location of critical equipment like defibrillators, ventilators, oxygen pumps, and wheelchairs in real time. Sensors and smart monitoring systems can be used to limit the spread of infections such as COVID-19, deploy personnel or medical staff where needed, and improve pharmacy inventory control such as checking refrigerator temperature when stocking vaccines.

Conclusion

Ushering in the age of Industry 4.0 is not without its challenges of course. Questions over security and vulnerabilities to hackers, setting standards to ensure disparate machines and industries can communicate, and integrating these new technologies with what is already in place are all concerns that need to be addressed.

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Here are some of the certifications and achievements that experts suggest will stand you in good stead to advance an IT career.

For Virtualization – VCP-DCV

The VMware Certified Professional – Data Center Virtualization (VCP-DCV) certification is important for professionals who will need to evaluate, engineer or work with virtualization setups, which are now common best practices for distributed systems. Although some virtualization setups are open source, others are based on VMWare designs, and as a top name in network virtualization, VMWare’s name goes a long way.

Also, in a study, PC Mag found that IT professionals with this credential have acquired 7.4 career certifications on average, and stand to earn an average salary of just over $130,000 per year. Being able to say you have a VMWare cert drives confidence in an era where virtual machines and containers are all the rage.

AWS Cloud Practitioner or CSA Cert

This is a set of vendor-related certifications that has a certain degree of utility-related to Amazon’s presence in the realm of building cloud native systems. Amazon Web Services (AWS) simply dominates the cloud world. So many enterprise platforms are stood up with AWS tools, (such as AWS S3 for object storage or Lambda for serverless functions, or Alexa Skill Builder) that the AWS certifications are enough to position a top tech well.

Then there’s also the ability to work for companies that participate in AWS Partner Network (APN) programs. This kind of networking connection is another boost that a career pro can get from the AWS CP cert. In terms of earnings, experts cite sources like the Global Knowledge 2019 IT Skills and Salary Survey showing that AWS certified pros can earn an average of around $130,000 a year. All of this makes the AWS credential attractive right now.

Google Certified PCA

The Google Certified Professional Cloud Architect accreditation has been popular for a number of years, for some fairly concrete reasons. Certification on the Google Cloud Platform means cert holders can demonstrate the ability to design with Google’s cloud architecture. Certified professionals can make over $160,000 a year, and Google Certified Professional Cloud Architects are estimated to earn an average of $175,761 per year. It’s obvious how certifications tied to Google’s cloud architectures have value related to what Google has built as a top tech company, in web-delivered services and elsewhere.

For Cybersecurity – CISSP

In a foundational sense, the earning of a CISSP cert is a major value right now, because of the vast utility and the urgency of acquiring cybersecurity talent. By establishing the ability to look at cybersecurity from a leadership perspective, CISSP-certified careerists are able to delve into all of the questions around network and data protection, and figure out how to stop threats both at the perimeter and deep inside a network. The cert has ranked high in terms of money-earning certifications over the past few years, where CISSP brought an estimated average salary of just over $100,000 (and equivalent non-certified professionals, according to some sources, earned an average of $87,000 per year.) All of the way up the ladder, CISSP is shown to have value and benefits in an enterprise context.

CCA-V

When it comes to big-name IT certs, the Citrix Certified Associate for Virtualization (CCA-V) is one that often gets left out. But students have been reporting great career results with CCA-V, and a lot of relevance to some of the most common types of enterprise projects that require top talent. The CCA-V helps to demonstrate expertise in the installation of high-availability architectures and dynamic, desired-state cloud environments. Citrix Cloud and workspace tools are highly useful in some kinds of data center work and elsewhere, and CCA-V holders report making an average of around $115,000.

Microsoft-Certified Azure Administrator

This credential comes from Microsoft, the track record of which needs no introduction. With MS Azure central to many enterprise SOAs, this cert is said to return an average of over $120,000 for the career pro. It rivals the kinds of AWS and Google certs above, according to whose walled garden the professional would like to explore in a career capacity.

Conclusion

Take a look at how any of these top certifications will springboard your IT career. For IT professionals, IT certification programs are not only a way to gain credibility in their fields and to verify and prove their skills, but also to achieve personal objectives.

NMS IT Solutions owns nearly 100 IT engineers with international networks and operating systems (CCIE, CCNP, AWS, CCNA, MCSA, LPI, SCRUM …)

Please contact us for advice on Information Technology services and solutions.

Email: customercare@nms.com.vn

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Myth 1: Multi-Cloud Data Management Is Complicated

Like all myths, this one has a grain of truth to it: multi-cloud is hard to manage if you try to manage it in the traditional IT fashion. But as Splunk noted on Forbes recently, simple observability is no longer enough. For effective oversight, organizations need to build full analytical capabilities from any source and at any scale, not just to provide real-time insights into operating conditions, but to empower management teams to function proactively.

Myth 2: Multi-Cloud Equals Hybrid Cloud

While similar, there are a few key distinctions between the two that can affect how they are designed and operated. VMware has pointed out that multi-cloud utilizes clouds from different providers, such as front-end applications on AWS with Exchange Servers on Azure. Hybrid cloud involves the integration of private cloud infrastructure with one or more public clouds, allowing them to function as a single entity. The type of cloud architecture you deploy will depend on the kinds of applications you support and your overall business objectives. Another iteration would be to combine your on premise datacenters with an AWS Storage Data Lake.

Myth 3: Multi-Cloud Is Less Secure Than Single Cloud or On-Prem

Just like with management in general, security is only more complex in the multi-cloud if you don’t implement it correctly. Fortinet’s Vince Hwang says that the key to successful cloud security is a software-defined wide area network (SD-WAN) with an integrated security layer. In this way, the entire cloud is placed under an integrated architecture in which security policies and monitoring capabilities can be extended to any point

Myth 4: Multi-Cloud Is More Secure Than Single or On-Prem

Of course, there is nothing inherent in multi-cloud that makes it more secure than any other architecture either. Irfan Ak of Branex highlights some of the unique challenges to multi-cloud, including the need to address numerous service models, data access and control (particularly during migration) and the need to maintain compliance across various architectures and across multiple geographic regions.

Myth 5: Multi-Cloud Management Is Best With Open Source

Open source is great, but as CloudOps points out, it is not always the best solution. It takes time to develop and deploy open solutions into a cloud management stack, and there is no guarantee it will have the best feature set. Meanwhile, proprietary solutions often integrate well into cloud environments, and they usually come with service and support programs as well.

Myth 6: Multiple Clouds Are More Expensive

Multi-clouds are no more apt to blow the budget than any other cloud. It’s all in how you manage them. Walmart’s Rupesh Patel argues that with even basic guidelines in place, such as keeping an eye on provisioning and placing data in the appropriate storage tier, organizations will find they can easily keep multi-cloud costs under control. The last thing you would want to incur are charges for misconfigured dynamic provisioning. This can lead to what is known as an economic denial-of-service (EDoS) attack and basically uses up resources and drives up the cost of cloud computing. (Read also: 5 Questions Businesses Should Ask Their Cloud Provider.)

Myth 7: Multi-Cloud Is Only for Large, Established Enterprises

While it may be true that large enterprises may have a greater need for multi-cloud architectures, Anblicks’ Nikhil Acharya notes that small organizations still employ any number of specialized applications that are enhanced by employing multiple clouds. To fully utilize these tools, it’s best to have a scaled out environment from the start. Small businesses can utilize multi-cloud via the use of SaaS platforms like CRM Dynamics, O365, Powe BI, Tableau or by using a managed security service (SeCaaS) like Qualys or Rapid7.

Myth 8: Enterprises Embrace Multi-Cloud Only When They Are Ready

Most organizations are already using multiple clouds whether they know it or not. Shadow IT, the unsanctioned apps and software people use on top of the official company platforms, has been a problem for more than a decade. This is in no small part because it leads to discoordinated infrastructure that drives up costs and hampers performance. As IBM’s Sai Vennam points out, a formalized multi-cloud environment goes a long way toward keeping shadow IT under control. If either in-house or SaaS cloud platforms are implemented without the appropriate governance, risk and compliance, Shadow IT can lead to all sorts of issues. Shadow IT may well evade Data Loss Prevention (DLP) systems, putting the security triad of confidentiality, integrity and availability at risk.

Myth 9: Multi-Cloud Is Optional

Most organizations are implementing multi-cloud into their overall infrastructure, but this does not mean it is right for all applications. Michelle Woodruff of tech consultancy Contino says multi-cloud works best when assembling best-in-class systems and maintaining compliance through complex data migrations. It might not be appropriate for disaster recovery or when trying to avoid vendor lock-in.

Myth 10: Multi-Cloud Is Worry-Free

Multi-cloud is an effective solution to many problems, but it is not perfect. Like all technologies, it must be applied to the right set of services, says CIO’s Bob Violino. It also requires careful coordination to ensure each piece fits together well. And while providers should ensure top-notch data protection and privacy, the enterprise still bears final responsibility to its users.

Before deciding on any cloud service provider (CSP,) make sure you do your research. Remember as well that you will need to formulate an individual Incident Response (IR) Plan for each CSP. Check out the guidance on the Cloud Security Alliance (CSA) website for tools that can help you when sourcing a CSP and guidance on the types of controls that you should ensure are provided by your CSP.

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What is Face Recognition?

Face recognition is a technology capable of identifying or verifying a subject through an image, video or any audiovisual element of his face. Generally, this identification is used to access an application, system or service.

It is a method of biometric identification that uses that body measures, in this case face and head, to verify the identity of a person through its facial biometric pattern and data. The technology collects a set of unique biometric data of each person associated with their face and facial expression to identify, verify and/or authenticate a person.

Face Recognition System

The face recognition procedure simply requires any device that has digital photographic technology to generate and obtain the images and data necessary to create and record the biometric facial pattern of the person that needs to be identified.

Unlike other identification solutions such as passwords, verification by email, selfies or images, or fingerprint identification, Biometric facial recognition uses unique mathematical and dynamic patterns that make this system one of the safest and most effective ones.

The objective of face recognition is, from the incoming image, to find a series of data of the same face in a set of training images in a database. The great difficulty is ensuring that this process is carried out in real-time, something that is not available to all biometric facial recognition software providers.

The facial recognition process can perform two variants depending on when it is performed

The one in which, for the first time, a facial recognition system addresses a face to register it and associate it with an identity, in such a way that it is recorded in the system. This process is also known as digital onboarding with facial recognition.

The variant in which the user is authenticated, prior to being registered. In this process, the incoming data from the camera is crossed with the existing data in the database. If the face matches an already registered identity, the user is granted access to the system with his credentials.

FACE RECOGNITION SYSTEM

The face recognition procedure simply requires any device that has digital photographic technology to generate and obtain the images and data necessary to create and record the biometric facial pattern of the person that needs to be identified.

Unlike other identification solutions such as passwords, verification by email, selfies or images, or fingerprint identification, Biometric facial recognition uses unique mathematical and dynamic patterns that make this system one of the safest and most effective ones.

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However, knowing the customer is not always easy: it requires constant and permanent effort, as well as tools powered by Artificial Intelligence (AI) such as chatbots.

AI-powered chatbots are capable of

• Interact with customers thanks to its Natural Language Processing (NLP) feature
• Store and interpret these interactions
• Provide the solutions that the client demands

A chatbot is a complete tool, not only for companies to have a vision of the problems or improvements requested by consumers, but also because they are the means to carry out these changes and get satisfied customers who are loyal to the brand.

Happy customers are loyal customers

For many companies, getting new customers is a challenge and can involve a large investment, so some companies opt for long-term commercial strategies, such as loyalty, since it also generates more income for the business.

According to the report Chatbots: The Definitive Guide 2020 , by Artificial Solutions, chatbots that achieve a loyalty of 2% of the customer base, make each purchase ticket is on average 60% higher, thanks to personalized purchase suggestions, but they also improve the user experience and thus loyal customers buy with a frequency of up to 90% compared to regular consumers.

In addition, consumers who are satisfied with a brand tend to become brand ambassadors, which is why they usually refer new buyers, either directly or by leaving a favorable review about the company on social media.

New tools for new challenges

The current market entails challenges for companies and facing them in record time is vital to ensure the proper functioning of the business.

According to the ebook Transform your business with AI chatbots , written by Ricardo and Gustavo Parés, chatbots generate a high degree of customer satisfaction, since “it increases when people solve problems more quickly as they find the right product. , buy it and receive information on its shipping status ”, and receive assistance throughout the purchase process, the text says.

The construction of an operating model that integrates customer service, query resolution, purchase assistance, data analysis and interpretation, and after-sales service, that is a chatbot. For this reason, they are revolutionizing the way of doing business, since they provide an important competitive advantage: they can meet customers individually and not by segments. This allows companies to speak to each consumer in a personalized way, provide them with the specific attention they demand, make purchase suggestions based on their interests and even anticipate their needs.

Your consumers want to be heard

Consumers are becoming more demanding and demand that companies pay greater attention to improving the shopping experience. In fact, the third edition of the Salesforce State of Service report notes that 67% of consumers globally say their standards for the shopping experience are higher than ever.

The consequence of this is that companies that do not adapt to these new requests could be losing customers. The same report adds that for 76% of shoppers switching from one brand to another is much easier today.

For more information about our chatbot solution, please contact email customercare@nms.com.vn

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Types of Outsourcing Explained

IT Outsourcing

It’s also possible to contract a provider just for IT. If you have specific IT needs or you are a small business, this could be a better option. Even startups need some IT support to maintain security, keep licenses up to date, and manage their networks, and this is an affordable way to receive those services. With IT outsourcing, you can receive support with anything from infrastructure to app development.

Business Process Outsourcing

One of the most common types of outsourcing is business process outsourcing (BPO). You can use BPO to handle your more mundane business activities, such as administration, correspondence, and scheduling. You can also receive customer services and lead generation through BPO.

Project Outsourcing

It’s possible to outsource all aspects or even just a portion of a project to a provider. This is a common strategy when a business lacks the time, skills, or funds to complete a project. Some types of project outsourcing include website redesign, creation of a large piece of content, and marketing campaigns.

Process-Specific Outsourcing

With process-specific outsourcing, you contract a provider for a specialist service — it can even be something quite niche. There are three types of process-specific outsourcing.

The first is knowledge process outsourcing (KPO). This is for improving products and services through research and data analysis.

The second is legal process outsourcing (LPO), which can cover regulatory compliance, litigation, and other legal needs.

Finally, there’s recruitment process outsourcing (RPO), covering everything related to recruitment. You can receive support for job postings, shortlisting applications, and evaluating candidates.

Multi-Sourcing

Another way to combine the services you outsource is through multi-sourcing. Typically, multi-sourcing provides you with a mix of IT and other business functions. It’s usually more suitable for large companies that want to outsource a variety of IT operations and infrastructure to different vendors. However, multi-sourcing is also a good option for any business that wants access to top specialists, is looking for an outcome-based approach, and wants transparency around its IT projects.

Bear in mind, though, that you’ll need to have to have a strategy in place before you get started with multi-sourcing.  For instance, you need to know what metrics matter to your business and you’ll need to have a system of governance.

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Here’s some of the technology available in the health care industry and how AI can improve operations.

Current Technology and Health Care

The AI sector is expected to see rapid growth in the coming years. Revenues in the industry are forecast to reach more than $500 billion by 2024.

Until the nuances of AI are fully fleshed out, it’s challenging to know how AI can be applied in various industries. Processes in the health care sector, like updating records and obtaining insurance information from patients, lend themselves to be automated. What if bots can be used instead?

One company at the forefront of combining AI and health care is UneeQ. This platform allows for the creation and customization of digital humans. It won’t be long until a patient just leaving the operating room is greeted by one of these human assistants.

There are three key components to address when AI is used in health care:

• Diagnosis and treatment recommendations.
• Patient engagement and adherence.
• Administrative activities.

There’s more work to be done — AI is not yet capable of performing open-heart surgery! However, there are plenty of ways it can improve the state of the health care industry.

Health care organizations are already using bots to help schedule appointments, leave messages for providers and request information from medical records. AI-powered bots should take care of minor tasks — specific medical issues require close attention that a human doctor best provides.

The Benefits of AI, ML and Bots in Vaccine Delivery

Before immunizing people against COVID-19, it was a task in and of itself to spread the word about vaccinations. Many companies have implemented data-backed outreach programs to educate people on vaccine efficacy properly.

Stories of people losing out on securing vaccine appointments were common during the vaccine rollout a few months ago. As a result, some saw it as an opportunity to use AI to find a solution.

In this case, two teenagers created a bot that scanned websites for available vaccine appointments, making it much easier to schedule a time to get vaccinated. This one example of innovation shows how using bots and AI can benefit the health care industry.

Another way for health care organizations to use AI is to build a blockchain. This trending technology can be used to store sensitive information. When health care professionals incorporate a blockchain into their systems, more details about who receives the vaccine and when becomes available. This information is valuable — and the best part is that blockchain technology is decentralized, so it’s safe and secure to use in a health care setting.

In addition to improved tracking, using blockchain allows organizations to monitor the storage and production of vaccines. With machines doing the work, there’s less room for human error.

Machine learning in radiology is now common practice. Machines integrated with deep learning technology can scan images and detect anomalies that humans may overlook. For patients, this could mean the difference between terminal illness or catching an irregularity when it is still treatable.

Using bots to assist with finding and scheduling appointments has proven to be successful. Still, there are other ways to improve the process. The execution of proper outreach programs allows vaccines to roll out more efficiently, and educating the public and targeting high-risk populations is vital in doing so.

Accurate reporting, one-on-one patient interactions, scheduling assistance and creating blockchains are possible ways for AI to be used in the health care sector.

Improving Vaccine Delivery

It’s difficult to find any downsides to utilizing current AI technology to strengthen the health care industry. Other than improving delivery, these methods of using AI can reduce vaccine hesitancy. When organizations upgrade their technology to be more sophisticated, the public’s level of trust may increase as a result.

AI, ML and bot technology are advancing, and determining how to apply them to this industry is crucial. Caring for patients is a priority for health care professionals, and AI will make it easier for them to do their jobs successfully.

(techopedia)

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Here are the top six reasons why.

1. Predictive Sales

With the help of AI, businesses can focus on leads with the greatest potential for success. How?

In practice, the idea is simple, but it requires the support of advanced algorithms and AI-powered solutions to sift through massive datasets. It’s no secret the average business is amassing huge stores of customer and behavioral data. Putting this information to use can mean the difference between a competitive edge and continued failures.

2. Reviewing and Extracting Information

A rote and undesirable side of any business involves poring over hundreds of documents, papers, and statistics to create valuable insights. In the past, for example, a business would have to collect, analyze, and notate customer invoices to find popular products.

That’s no longer necessary, as digital reporting systems present this information faster and more effectively. But AI and machine learning tools are the next steps in that evolution. They can unlock hidden insights within that digital content by reviewing and extracting critical information that the human eye might have glossed over.

Simply put, AI can be used to collect information from documents to reduce review times and improve operational efficiencies by informing future decisions and events. The technology is already being put to good use in the legal and management industries to aid in contract intelligence.

3. Leveraging Smart Chatbots

Customer service solutions require a lot of back-and-forth between agents and customers, especially in the initial stages. AI, or more specifically, smart chatbots, can be deployed to handle many of those low-level communication steps, which takes the stress away from employees.

Chatbots can collect names, account details, and basic information about the problems customers are having. If the chatbot cannot provide direct assistance, that information is then relayed to a human rep, who can take over from there.

AI can also be used to create always-on support solutions that tackle simple tasks and problems after hours. A customer might need help finding a support document or tutorial, for example, and the chatbot can direct them appropriately.

4. Implementing AI Tools

Offering general support through AI tools can boost employee satisfaction, which leads to higher productivity. Automation can be used to replace rote and what would otherwise be considered unproductive tasks, for example, allowing workers to spend time doing what they enjoy more.

These same AI tools can also be leveraged in many unique ways to improve the employee experience. When enmeshed with the internal culture, they can improve employee buy-in and enhance the day-to-day for workers. AI can even be utilized before an employee is hired, by implementing tools that help with the recruitment process.

One tool might recognize when an employee goes above and beyond, for instance, and flag them for a promotion or award. Another might ingest customer reviews to find employees that have been mentioned, by name, consistently.

5. Automated Call Management

AI can also be used for call management to direct calls to the right people. There’s almost no reason to have your workers sitting by the phone waiting for communications to come in.

A forward-facing system can do that, similar to chatbots, to collect basic information from clients and customers and then direct them to the appropriate department or professionals. In fact, this is one of the best examples of automating repetitive work.

It benefits your call service teams, as well, freeing them up to work with elevated concerns, as opposed to answering every call that comes in regardless of priority.

6. Real-Time Operations

Traditionally, it would take time to assess and extract insights from incoming data, especially customer reports. In the past, you would have a team dedicated to doing this, who would review invoices, sales information, and much more. When they did come up with something, it would be essentially delayed.

AI and machine learning can be used to do this much faster, and almost instantly in many cases. The data flowing in is constantly being analyzed and processed to create real-time insights and inform direct action, or creating alerts about suspicious activity or implementing cybersecurity measures. It does this without the same prejudices a human may consciously or unconsciously hold that influence decision-making, although machine bias is a problem that has been recognized and needs to be combatted.

AI is the Future of Business

AI has a lot to offer the business world. And there are many benefits to go along with its adoption, from more accurate, real-time operations to improved employee satisfaction and better customer service opportunities.

What’s more, the technology will only get better from here on out as more companies realize its potential and unlock new use cases.

(techopedia)

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The global outsourcing market stands at a whopping amount of $92.5 billion, and this figure will only grow as an increased number of companies leverage external teams’ capabilities. There are several reasons due to which companies turn to third-parties to get their work done.

Businesses successfully cut down their development costs up to almost 50-60% when choosing to turn up to outsourcing companies. Also, they can focus on core and vital business goals.

2021 has brought in software development outsourcing trends that can help your business become further competitive in the new age. Let’s go through all trends that will influence the development services.

Enhanced Experience with AI and IoT

Online shopping is not new. After the pandemic outbreak, it has now taken up a considerable market share, and people over 65 years of age are also saying they prefer buying things online. The increase in online shopping is making businesses invest more in the enhanced consumer experience. AI and IoT capabilities will help eCommerce businesses soar high since they can offer more personalised shopping experiences to their users. It is one of the software development trends that will stay. As per the report, almost 80% of consumers prefer shopping from companies that offer customised experiences over those who don’t.

Cloud as a Must-have

The worldwide public cloud computing market continues to grow and is expected to reach an estimated $362 billion in 2022. With these figures, you can clearly understand that cloud technology is here to stay. Small companies to multinational corporations and even government organisations are all turning to the cloud for data storage. It offers scalability, security and flexibility. Also, organisations are taking all necessary steps to protect their sensitive data from all kinds of security breaches. That said, the cloud doesn’t let them compromise the privacy of data.

Increased Cybersecurity Needs

With the rise of cybercrime, companies have now started to invest their money to become compliant with the General Data Protection Regulation. That said, the desire is to secure all available data. No matter if it is a small-sized business or a large scale business, owners are only reaching out to such a software development outsourcing company that offers cybersecurity services. It helps them guard their business data and eliminate all security-related issues.

Demand for Blockchain Service

As per Statista, blockchain solutions are expected to reach over almost 18 billion U.S. dollars by 2024. Blockchain technology enhances transparency, security and also offers numerous solutions for startups to raise money. They enable the development of smart contracts, as well as immediate microtransactions. With the increase in demand for the knowledge of blockchain technology, the need for professionals is increasing. However, adequate blockchain professionals are not available. Hence, businesses are looking to outsource their software development needs to companies that have blockchain experts.

Native Apps and the Development of Progressive Web Apps are always on the Top

The number of smartphone users who make a purchase, initiate bank transfers, communicate, etc., are growing, so the demand for applications is growing dynamically. Native apps are highly efficient and faster, with superior support built-in functions. They also use languages such as Kotlin or Swift, which makes the development process easy. On the contrary, progressive web app development uses a highly innovative network solution to provide a dedicated mobile application. It is one of the most crucial IT outsourcing trends to look for an outsourcing company that can develop such an application.

Hype Around Robotic Process Automation

The question in 2021 is not whether RPA is going to grow or not, instead, what we will be evaluating is how effective these RPA initiatives have been. – Alex Day, SVP of Americas at Signavio

Robotic Process Automation offers a host of benefits that include enhanced work coordination, reduction in operation costs, fewer manual mistakes, etc. In the ever-evolving digital environment, business automation has become a priority. Hence, businesses are investing their time in augmented analytics and business automation. With RPA, they can provide payment processing, enhanced personalised experiences, etc.

Security above all else

A United Nation report stated a 600% increase in malicious emails during the pandemic crisis with a cyber attack registered every 39 seconds around the world. With each passing year, the security of critical data and corporate networks is becoming increasingly popular. We live in an age where cyber crimes are costing a considerable amount of money that is much more than natural disasters. The need for restrictions and data security requirements increases as well. Hence, while hiring a software development outsourcing company, businesses are looking for companies who adapt to the most current software development condition.

Summing Up

Software development outsourcing is crucial for the growth of a business. Companies that don’t want to fall behind have already started to invest their money and time in the latest development trends. Though there are numerous challenges, companies cannot keep up with the pace and cannot adopt every digital shift because of the lack of resources hence, they choose to outsource.

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Identity Management and Cloud Security

In such a system, in which users could theoretically be anywhere, a cloud computing system needs a robust identity management framework.

For instance, Whole Foods, the supermarket chain, uses Azure Active Directory Premium. In 12 weeks, Whole Foods rolled out Azure Active Directory Premium to all of its 91,000 employees. Such employees use a single sign-on to access more than 30 software as a service (SaaS) applications.

In addition, users with an administrative role should enable multi-factor identification. It’s also imperative to audit any custom role definitions to ensure that none contain unnecessary administrative permissions that could instead be assigned via default roles.

Azure AD Identity Protection team constantly analyzes data to look for weak, compromised or commonly used passwords. When they’re found, they go on a globally banned passwords list.

Cloud Computing Basics

Cloud Computing is more than 20 years old. The earliest known reference to it was in a Compaq internal document in 1996. The term was popularized in the early 2000s and Google’s then-CEO Eric Schmidt used “cloud computing” as a descriptor at a conference in 2006. However, the notion of network computing dates back to the 1960s. The growth of cloud computing has been dramatic. As of 2018, some 73 percent of organizations say they have at least one application, or a portion of their computing infrastructure in the cloud.
That growth may make it seem that corporate concerns about the cloud have been put to rest, but that’s not the case. Why is cloud security still a concern? One reason is the multiplicity of ways for hackers to attack the cloud. A 2020 checkpoint survey found 15 cloud security issues and threats including malicious insiders, data loss/leakage and data privacy/confidentiality.
As we’ve seen, those security issues haven’t put a crimp in proposed cloud spending. Perhaps it boils down to optimism and the industry’s track record at keeping hackers at bay.

Visibility and Compliance for Cloud Security

Everyone doing business in the cloud needs an inventory of what it has in the cloud: servers, cloud provider services, users and cloud tools like load balancers. Ideally, a cloud security system would automate the inventory process.

Labeling is also important. Label data and its level of sensitivity. Such a solution should also allocate where specific data types can reside. An SaaS application should be stored with consideration as to the data will be publicly exposed and who may access it. Cloud-access security broker (CASB) tools stipulate role-based data access, adding another layer or protection.

Azure uses a Secure Score in Azure Security Center to monitor a user’s risk profile and continuously improve their security posture. It is recommended that users set up a regular cadence (typically monthly) to review their Azure score and plan initiatives with specific improvement goals. Microsoft also recommends gamifying the activity if possible to increase engagement and focus from the responsible teams.

Cloud Security Threat Detection

To carry on effective cloud security, inspecting activity needs to automatically and continuously detect any malicious activity. Microsoft employs several services to detect threats, including Azure Defender, which brings advanced, intelligent protection to your Azure and hybrid resources and workloads, and Azure Sentinel, a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution.

Conclusion

Cloud computing security is a never-ending commitment. The best defense in such a circumstance is not a single piece of software, but a commitment from a large, tech-savvy organization that has been dealing head-on with security threats for more than 40 years. Microsoft invests more than a billion dollars a year into security to keep its partners’ systems secure against new threats. As we’ve seen, such new threats are emerging all the time, so the best protection is the commitment of a committed partner.

>>> Readmore: Simple Ways to Improve IoT Security

NMS provides support, consulting services for setting up and maintaining information technology systems. Our focused customers are medium and small-sized enterprise who want to outsource IT services so that they can focus on their main businesses while ensuring their IT platform under continuous & secured professional operation and support.

Contact to us: customercare@nms.com.vn

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