How is Cloud Computing Shaping Enterprise Communications?

As an owner or operator of a small- to medium-sized enterprise, you must ensure swift and reliable communication between personnel. Previously, most companies made use of an authoritative main phone number along with individualized extensions to contact their staff. Nevertheless, the inception of VoIP-powered phone networks during the mid-90s improved the procedure. Nowadays, cloud-based phone systems are advancing how enterprise interactions take place. In this article, we will take a look at how cloud computing technology is revolutionizing corporate communication and its advantages for every associated individual.

What is Cloud Unified Communications? 

Cloud Unified Communications is a Software-as-a-Service (SaaS) that consolidates essential business telecommunications and team collaboration services into one unified system. When correctly employed, this cloud technology can significantly enhance customer service, allow for more effective management of customer relationship agents, and make operations more efficient. By combining seamless user experiences with optimized enterprise communications, unified communications systems enable people to communicate and collaborate effectively anywhere and at any time.

How do Cloud Contact Center Services help Deliver Quality Communication?

Organizations striving to enhance customer service should invest in cloud contact center services. Cloud-based contact centers unify customer interactions over various mediums, including telephone, email, text, and social media. With the ability to accommodate multiple support channels, cloud contact center solutions help businesses manage multiple support channels and enhance the productivity of their customer service agents. 

Through a hub-and-spoke system, cloud contact center solutions allow agents to access the complete timeline of a customer’s journey across multiple channels. This allows agents to provide customer service and promptly address issues – or even forecast their expectations.

How can Cloud Computing Benefit your Organization’s Communication?

Cloud-deployed systems have provided an advantage to businesses of all sizes by facilitating access to cutting-edge communication technology. Small companies no longer have to break the bank for a reliable phone system. 

By switching to cloud computing for their communications needs, businesses can save on IT overhead while taking advantage of its many other benefits.

Enhance Adaptability 

With a cloud unified communication system, personnel has the advantage of greater freedom of movement. Since cloud solutions are available on any internet-enabled device, the need to be physically present is no longer an issue. As a result, your team is more agile and can work from any location.

Reduce Cost Expense

Choosing cloud-based communications solutions comes with great monetary savings. You will only be paying for the services tailored to your needs and staying connected to your customers. Plus, you can forget time-consuming tasks such as setting up, upgrading, and keeping your system secure, as the cloud computing model looks after all that for you.

Improved Security

Most business proprietors are unaware that VoIP hacking is a potential danger, so cybercriminals can take over your phone system and make calls on your behalf. With a reliable unified cloud computing system, you can have the assurance that your system is shielded from breaches, and you do not have to worry about any security problems.

Indestructible Scalability 

For businesses with rapidly expanding needs, cloud computing offers an unprecedented level of scalability. With the ability to add more extensions as necessary, cloud communication platforms can easily handle the increased call volume. 

Not only does this help avoid hardware-related downtime, but it also allows for the quick implementation of added features for increased capability.

Final Thoughts 

Cloud computing unified communications hold great promise for businesses that want to increase the efficiency of their operations and workforce. As more companies worldwide establish remote workers and build global customer bases, unified communications will be in high demand to save costs and time while driving productivity for better growth.

With Cloud unified communications services, Enteriscloud can lighten your shoulders with heavy burdens. At Enteriscloud, we provide cloud-based computing solutions to help you grow your company without worrying about managing communication systems.

Benefits of Cloud Contact Center Over on-Premise Contact Center

A contact center is a crucial component of various businesses, providing a centralized hub for handling customer inquiries, support requests, and sales. There are two primary deployment models (on-premises and cloud-based) for the contact center. As technology has become more advanced, on premises contact centers are no longer in demand due to various concerns though cloud contact centers are becoming popular.

Differences Between The Two Types of Contact Centers

One of the major differences between these contact centers is the ownership and control of the infrastructure.

An on-premise contact center is usually installed in a company’s own data center or server room. So, the company’s IT staff manages, maintains, and installs all hardware and software required for proper functioning. The company owns and controls the infrastructure and is accountable for all aspects of its operation, supervision, and upkeep. They ensure all resources are properly implemented on site. 

In contrast, a cloud contact center is hosted (deployed and managed) by a third-party provider and accessed over the Internet. The provider hosts the hardware and software necessary to run the contact center in a remote data center. 

Cloud unified communications enable organizations to streamline communication processes, collaborate more effectively, and enhance productivity. With cloud UC, companies can enjoy a wide range of communication features, such as voice calls, video conferencing, instant messaging, presence management, and more – all from a unified interface that can be accessed from anywhere, at any time, on any device with a safe internet connection. 


Avaya, Genesys, and Cisco are some common examples of on premise contact center platforms, while Amazon Connect, Twilio, and Five9 are examples of cloud contact center providers.

Furthermore, American Express, Delta Airlines, and Best Buy have deployed on-premise contact centers, while companies such as Airbnb, Lyft, and Shopify have opted for cloud contact centers.

Advantages of Cloud Contact Center Over On-premise Contact Center

  • Cost Effectiveness 

There are numerous advantages of installing a cloud contact center instead of an on-premise contact center. Cost savings is one of the major and perhaps the most significant ones as it eliminates the investment cost of expensive hardware and software installations. Ultimately reducing the outlay of hiring additional staff because the provider manages the maintenance and upgrades. The customer only pays for their services. 

No more investing in costly infrastructure upfront!

  • Scalability and Flexibility

Cloud contact centers offer higher scalability and flexibility. It is much easier to scale up or down as needed because the 3rd-party manages the infrastructure. This helps companies swiftly adjust to changing business requirements and ensure that they only pay for the resources they need at any time. 

For example, during peak periods, a company can quickly add additional agents or resources to handle augmented call volumes and then scale back down during sluggish periods.

  • Ease of Access and Use

They are more accessible and available than on-premise contact centers for being hosted remotely. They can be accessed from anywhere with an internet connection and allow agents to work from home or in remote locations. Furthermore, cloud contact centers typically offer greater reliability and higher uptime as they are hosted in redundant data centers with multiple failover mechanisms. It means that even at the failure of hardware or software, the contact center can effortlessly and faster failover to another data center, guaranteeing minimized service interruptions.

  • Security and Reliability

Last but not least, security and reliability are also significant advantages of cloud contact centers. Cloud providers typically have more resources and expertise for security and compliance than individual companies. They also guarantee that customer data is kept protected.

Cloud providers typically have more vigorous disaster recovery and business continuity plans. It gives the peace of mind that even in a major outage or disaster, the contact center can quickly and efficiently resume normal operations.

Harness Advanced Technologies of Cloud Contact Centers

Cloud contact centers offer advanced technologies and features that can future-proof your contact center operations, including:

  • Artificial intelligence (AI) and machine learning capabilities for predictive analytics
  • Chatbots for enhanced self-service options
  • Omnichannel capabilities for seamless customer interactions across multiple channels
  • Integrations with other business tools for improved productivity and efficiency

Cloud contact centers also provide regular updates and enhancements to keep up with the latest industry trends and customer expectations, making sure that your contact center stays modern and relevant in the ever-changing business landscape.

Final Thoughts

On premises contact centers have been the traditional choice for various businesses, while cloud contact centers are more in demand in this technological world. Cloud contact centers provide considerable advantages when it comes to cost savings, accessibility, scalability, and reliability. Businesses should carefully consider their business needs and evaluate the options to decide which type of contact center fits their organization best.

Southern California

The client’s company is a leading electricity provider in Southern California and a subsidiary of Edison International. The company provides electricity to about 15 million people in a service area of 50,000 square miles.

The client required the assistance of a Senior Cloud Consultant in creating and deploying multiple Secure Multitenant Flexpod Datacenter infrastructures and consulting on architecture. As a Senior Cloud Consultant, Enteriscloud specializes in installing and configuring cloud-based solutions for corporate clients.

Enteriscloud won the client’s trust because of its team’s expertise in Cloud Infrastructure Design & Implementation, Core Routing Infrastructure Design, Compute Infrastructure Design, Software Defined Network Design, Virtualization Infrastructure Design, and Storage Infrastructure Design. As part of our service, we designed and implemented converged infrastructures within the client’s network.

Google Cloud

The client (Google) offers cloud computing services powered by the same internal infrastructure that Google utilizes to create its products and services, such as Search, Gmail, Drive, and YouTube.

Cloud Network Architects were required to assess business and operational requirements, design and develop cloud architectures for Google Cloud Platform (GCP), and implement its firewall rules on behalf of the client. As cloud network architects, we created, integrated, tested, deployed, and maintained networks.

With a wealth of expertise in developing cloud networks, the client chose Enteriscloud to be their service provider for a cloud network. We provide a wide range of consulting services, like designing, implementing, and maintaining Cloud infrastructures, Security Infrastructures, Virtualization Infrastructures, Computing Infrastructures, Storage Infrastructures, and Software Defined Networks (SDN). The company hired us to oversee the deployment of its global cloud and network architecture.


The client is a renowned company focused on healthcare performance improvement and is the largest provider of healthcare services in Dallas, USA.

The client required Cloud Solutions Architect Services to design, create, and link Cisco ACI, UCS, and other network devices, as well as to provide architectural guidance for new converged infrastructure deployment. Enteriscloud played a crucial role in the development, integration, testing, and deployment of converged infrastructure for Cloud Solutions.

We were selected as the client’s Cloud Solutions Architect because we have proficiency in cloud-related fields, such as Cloud Infrastructure Deployment, Security Framework Development, Core Network Routing Design, Virtualization Architecture Setup, Storage Solution Configuration, and Software-Defined Network Construction. Our firm specializes in crafting cloud-based architectures and implementing consolidated solutions for the customer.

What are the Four Types of Cloud Storage?

Cloud storage is an off-site location used to save files and business data. It includes scalable and cost-effective alternatives to store the files on storage networks or on-premises hard drives. So, you access them via a dedicated private connection or a public internet. A third-party cloud provider becomes responsible for the data you transfer to the cloud, hosting, managing, securing, and maintaining the servers, along with their associated infrastructure.

Cloud has several advantages, ranging from increased accessibility to data backup. The most prominent features are the high storage capacity and low pricing. These features offer increased flexibility, scalability, and resilience with “anytime, anywhere” data access. 

Why Use Cloud Storage?

Usually, the hard drives of computers are restricted to storing a limited amount of data. It runs out of storage soon, and the user has to use an external storage device to transfer files. In older times, storage area networks (SANs) were used to archive data and files in case of running out of storage. Although, these storage networks are costly because the company has to invest in storing the information when the data expands by adding more servers and infrastructure to meet increased data demands. 

Cloud storage solutions free you from worrying about maintaining storage area networks (SANs), running out of storage, adding more servers, replacing failed devices, or operating underutilized hardware to meet increased data needs. Cloud services are flexible, as you can scale up or down their capacity when needed. Additionally, it can be a great cost-effective solution. They don’t have to invest in the capital costs for building and maintaining massive in-house infrastructure networks. Instead, they just have to pay for the capacity used.

What are the Four Types of Cloud Storage? 

Anyone running a small or large-scale business can leverage the benefits of cloud storage for being virtual hardware. Moreover, it is an adaptable system that saves important documents, images, or videos while letting you operate complex data and run applications. 

The user must establish their use case before choosing a cloud type. Let’s shed light on each!

Private Cloud Storage

Internal cloud storage is also known as enterprise storage – a company solely uses it. The private cloud storage infrastructure is managed by the organization or a service provider that is only accessible to the company via a private connection. However, private cloud storage services are comparatively more expensive than others because they are built for specific needs. At the same time, they are highly beneficial to companies with the biggest fear of privacy and security.

As a Private cloud solutions provider, Enteriscloud offers private cloud storage solutions that enable secure data management, ensure operational transparency, and guarantee reversibility.

Advantages of Private Cloud 

  • Increased Data Security
  • Customized Solutions
  • Highly Proficient Services
  • Impressively Scalable 
  • Unlimited Storage


Although private clouds have some disadvantages, one of the main drawbacks of using cloud storage is the cost, as it can be expensive. Moreover, locating private clouds requires extra effort and maintenance. However, the host firm is responsible for managing private cloud storage. 

Use cases

Large companies such as financial institutions, government agencies, and healthcare organizations can store their most critical and private information using private cloud storage. 

*Companies can install private cloud storage on-premises or with a third party. 

Public Cloud Storage 

It is one of the most commonly used types of online storage, most frequently by individuals, small-scale businesses, and start-up companies. There are few administrative controls while using public cloud storage. Also, the user and anyone else authorized by the user can access it online. There’s no need for the company to maintain its system. Some well-known cloud storage solution providers include IBM Cloud, Amazon Web Services, Google Cloud, and Microsoft Azure. 

As multiple solution providers host public cloud services, there is minimal room for customization of the security fields. It is scalable, inexpensive, and dependable, with seamless monitoring and zero maintenance. Moreover, public cloud storage management is an economical approach to data protection and higher scalability. Companies can begin with a short amount of storage and gradually expand the storage as the company grows.

Advantages Of Public Cloud Storage:

Here are some of the most common advantages of public cloud storage:

  • Unparalleled Cost-Effectiveness
  • Improved data security
  • Quick Data Backup
  • Expert monitoring
  • Maximum scalability
  • Reliable Services
  • No Maintenance


The host is on a public cloud, which is a minor downside of the cloud services and makes it a less-than-ideal alternative for some. Additionally, it is not an option for enterprises with large storage requirements or those that must adhere to specific compliance laws.

Use cases

Public cloud storage highly supports people who want complete control of computer resources (such as software and hardware). Mostly the non-critical and everyday tasks such as testing of an application, file sharing or development are performed using public clouds. 

Hybrid Cloud Storage

Hybrid cloud storage refers to the use of a combination of on-premises and cloud storage solutions to create a unified storage infrastructure. Essentially, letting you take advantage of the benefits of both to achieve a more flexible, scalable, and cost-effective storage infrastructure. You don’t need to deploy more in-house resources using a hybrid cloud. Data and apps may be accessed effortlessly between public and private clouds, allowing you to manage your data on your terms. 

Hybrid Cloud Infrastructure services offered by Enteriscloud reduce complexity and consolidate your cloud environments, providing high-performance and security cloud solutions. Data may be saved on the private cloud with cloud storage solutions, while information processing chores can be outsourced to the public cloud. 

Advantages Of Hybrid Cloud Storage:

  • Higher flexibility
  • Greater cost-effectiveness
  • Enhanced data security
  • Improved disaster recovery


Managing a hybrid cloud storage environment can be more complex than managing a single one. Since cloud storage is accessed over the internet, companies must have a strong internet connection for seamless access to data kept in the cloud. Additional costs might be incurred for transferring data between on-premises and cloud storage.

Use Cases:

Hybrid cloud storage can help you maintain access to critical data in a disaster by replicating data across both; on-premises and cloud storage. It allows companies to handle spikes in workload by leveraging cloud storage to handle overflow capacity. Moreover, hybrid cloud storage helps reduce storage costs by using cloud storage for less frequently accessed data while keeping frequently accessed data on-premises.

Community Cloud Storage

Community cloud storage is a cloud computing model in which multiple organizations or individuals share infrastructure with similar interests or requirements. It can be used by various government organizations in the same country to store, process, manage, and access data. This combined infrastructure is designed to meet the community’s specific needs and is managed by a third-party provider.

Cloud storage providers in this approach provide their cloud architecture, software, and other development tools to satisfy the community’s needs. All information is saved on the society’s private cloud storage to manage the community’s security and compliance demands.

Advantages Of Community Cloud Storage

  • Data usage flexibility
  • Amazing Scalable Data Security
  • Cost-Effectiveness
  • Excellent data protection


Since community cloud storage involves sharing infrastructure and resources among multiple organizations, there is a higher risk of data breaches and other security concerns. Organizations depend on the provider to maintain the infrastructure and data security for the service provider’s management. Community cloud storage users may need more control over the infrastructure and resources, which can limit their ability to customize the environment to their specific needs.

Use Cases

Healthcare providers and government agencies can use community cloud storage as it helps store and share patient data security while ensuring compliance with industry regulations. It is used in educational sectors to share resources and facilitate collaboration among schools and universities.  

Wrap it Up!

Are you still wondering what are the four types of cloud storage? We have explained each cloud storage solution with its strengths, weaknesses, and use cases. You should choose the one that best meets your business’s needs.

Why is DevOps Important for Businesses?

DevOps implementation can be a challenge, but it doesn’t have to be. Our DevOps experts are here to help you every step of the way. 

DevOps is a software development strategy that combines the practices of software development and operations. This term originated from combining the development and functions of the word. DevOps aims to reduce the IT time to market and improve software quality. Agile, Cloud, and Automation are some technologies that support DevOps. It is famous for its approach to software development, which emphasises communication, collaboration, integration, automation, and measurement of cooperation between software developers and other IT professionals.

Overview of Cloud DevOps Consulting Services

The critical goal of DevOps is to reduce the time required to deliver changes to users by decreasing the risk value associated with the transition by shortening the set-up time through automation. 

Cloud computing is one of the core components of DevOps managed services. Adopting cloud computing for DevOps services means that businesses can move away from their conventional application deployment methods to a more modern process where they can quickly adapt their business processes as per their requirements without worrying about resources or infrastructure costs.

DevOps Consulting and Managed Services

Bots can perform repetitive tasks much faster than humans, which makes them very efficient. They are an integral part of DevOps services and are used for automating processes and interactions in software development, business operations, customer support, and other departments. DevOps is an IT practice that combines the work of developers and operations professionals to create a better, more effective software delivery system.

Enterprises in various industry verticals use DevOps services for their customer interaction and automation processes. For instance, financial institutions have started using chatbots for their basic information queries; retail companies are using image recognition software to identify customers; healthcare organisations are leveraging AI-based personalized treatment programs, and media companies are deploying intelligent recommendation engines to improve customer experience.

However, despite its growing popularity, there seem to be some concerns surrounding the adoption of these services by enterprises globally.

According to a recent report, it was also found that only 20 percent of executives feel that their companies have a clear understanding of what DevOps is. Unlike humans, bots are also a part of the system and are software applications that run automated tasks over the internet. 

How can DevOps help your Business?


DevOps is a method for software development and deployment, but will it help us? 

DevOps is all about developer collaboration and communication. You’ve probably heard of Agile Development; DevOps is an extension of that idea. It’s basically just an easier way to make changes to software systems. Your new software features will get to market faster than ever because there’s less friction in the development process. 

Also, if you find a problem with your system, it’ll be easy for developers to fix it. 


DevOps is the philosophy and practice of engineering for streamlined software development, QA testing, and deployment—so you can build better products faster. It is a collaborative culture that emphasises automating workflows to improve efficiency and reduce errors. DevOps is about collaboration. The idea is that we’re all part of the same team, working towards the same goal: building great products that people will love. 

Get in Touch with us

At Enteriscloud, we help you improve your business through a DevOps approach to software development. We provide DevOps consulting and managed services, plus training and workshops. We follow the principles of DevOps to help you:

-increase agility and innovation

-reduce downtime and operational risk

-improve efficiency and collaboration

-speed up the lead time from concept to production

-deliver value faster

Top 5 Big Data Challenges

Modern Problems Require Modern Solutions! 

Big Data challenges and the solution to these challenges will be discussed in this article. Cutting costs, speeding up time to market, and allowing for new product development are all possible benefits of a sound big data strategy. However, firms face various big data challenges when trying to go from boardroom discussions to operational procedures that are successful.

Physical infrastructure is required to transfer data between different sources and applications. Data governance and security are significant scalabilities, performance, and scalability issues. In order to keep costs down, it is essential to factor in implementation costs from the start.

Businesses need to grasp why and how big data is critical to their operations as a first step. “One of the biggest issues surrounding big data efforts is correctly using the insights gathered,” says Bill Szybillo, business intelligence manager at ERP.

Top 5 Big Data Challenges and How You Can Address Them

From the start of big data technology, the industry and the professionals using technologies for handling big data faced a lot of Big Data Challenges. Yes, A range of best practices and skill data is required to dive into the future of big data. This blog talks about the top 5 challenges of big data and its respective solutions. 

Insights into the pandora of challenges attached to big data.

Top-5-Big-Data-Challenges1 (2)

  • Challenge 1: the scarcity of Big data professionals. Why? Career progression in this area is still undermined.
  • Challenge 2: Inability to comprehend how much information is available
  • Challenge 3: Storage Issue when dealing with massive volumes of data
  • Challenge 4:With regard to Big Data Tools, there is much uncertainty
  • Challenge 5: Myths and realities attached to Data Privacy and its vulnerabilities 

The good news is, every problem comes with a solution. Walk through the article below to know the solution. Some of the most important Big Data Challenges and their solutions are explained here. Let’s roll.

Challenge 1 of Big data: Under Realization of Wonders Big Data Could by Problems

To use today’s advanced technologies and enormous databases, employers will need to recruit data professionals with the requisite skills. Experts in data science, data analysis, and data engineering are anticipated to make up this group. One of the Big Data Challenges that every firm confronts is a lack of big data expertise.

Many organizations lack even the most basic grasp of big data, including what it is, how it can be utilized, and what is needed to use it. Understanding big data is critical to the success of a big data adoption strategy. Many resources might be squandered if firms do not know how to use the instruments at their disposal.

The Solution to Challenge 1

Everyone in a business must first accept big data before its executives can embrace it. To ensure that everyone in the company is on board with big data, IT teams must organize a flurry of seminars and workshops.

In order to increase public acceptance of big data, it is necessary to keep tabs on how it is being used and deployed. Top management should exercise caution when it comes to enforcing too much control.

It has never been more critical for firms to hire highly skilled workers. Additionally, present staff must be trained in order to maximize their potential. Organizations are also putting money into knowledge analytics backed by ML/AI. These Big Data Tools are often used by people who are not professionals in data science. This move may save much money for business enterprises who take it.

Challenge 2 of Big data: Inability to comprehend how much information is available

The failure of Big Data initiatives might be attributed to a company’s lack of expertise in the field. Data storage, analysis, and utilization may not be apparent to workers. However, data professionals may be able to see things more clearly than others. Employees, for example, may not be aware of the need for knowledge storage and fail to back up critical material. They were unable to store data in databases adequately. It takes a long time to gather such crucial knowledge when required.

Challenge 2 Solution

Lectures and seminars on big data should be held at every firm. Everyone who handles data regularly has to be taught, and this is particularly true for those involved in large-scale data initiatives. All levels of the organization must be taught the fundamentals of knowledge. As a beginner, the best way to learn about big data is to seek experienced help. It is possible to get big data consultation from an expert or a vendor. Working together, you will be able to design a plan and then choose the right technical stack in both cases.

Challenge 3 of Big data: Storage Issue when dealing with massive volumes of data

Among many Big Data Challenges, the most challenging is figuring out how to store it. There is an ever-increasing quantity of information collected in the data centers and databases nowadays. As data sets grow, it becomes increasingly difficult to handle them. To make things even more disorganized, various files are being used to store the data. This is an indication that they are not in the database.

Compression, tiering, and deduplication are the most prominent methods now utilized to handle large data sets. As a means of reducing data size, compression lowers the number of bits in data. Deduplication is removing data from a database that is not needed. Using tiering of data, enterprises may store data at many storage tiers. Since your data is secure, you can rest comfortably. Flash storage, public cloud, and private cloud are all utilized depending on the amount and worth of the data. Businesses are also using Hadoop, NoSQL, and other Big Data solutions.

Challenge 3: Solution

Cleaning data may be done in several ways—just a few words to say hello to everyone. In order to deal with enormous datasets effectively, you will need a robust model. To date, you cannot conduct a data comparison with the sole source of truth. It is best to merge any items tied to the same individual or organization. Let us be clear: No data set can be depended upon to guarantee 100% accuracy.

Challenge 4 of big data: With regard to Big Data Tools, there is much uncertainty

When it comes to finding the most fundamental tool to do enormous tasks, businesses are often befuddled, and for some organizations, it is the most difficult to tackle among other Big Data Challenges. Data archiving and analysis. HBase versus Cassandra: Which is better for data storage? How much better is Spark than Hadoop MapReduce in terms of analytic and storage capabilities? Companies may not be able to answer these questions in certain situations. Because of their poor judgment, they use incorrect tools. As a result, enormous amounts of resources are squandered.

Big data challenge 4: Solution

Experts that have previously used the software will be essential to your success in making the most of it. Big Data consulting requires a different kind of travel. Depending on your company’s specific needs, experts recommend the most basic technology. They tell you to do specific calculations and then choose the most appropriate tool for your situation.

In order to save your company’s money, your company’s unique technological and business goals must be taken into consideration. Cloud computing may help a corporation become more flexible, for example. Security-conscious businesses want to retain their data on-site.

Hybrid systems, in which some data is stored and processed on the cloud and some on-premises, are also a viable alternative. If done effectively, data lakes and algorithm upgrades may save money: Data lakes may be a low-cost storage option for data that is not urgently needed to be examined. Processor use may be reduced by five to one hundred using optimized algorithms. Another possibility is that there are even more. This difficulty may be overcome if you properly examine your needs before settling on a strategy.

Challenge 5 of Big data: Data Privacy

An enormous amount of data makes it challenging to keep track of it all. Because companies are focused on understanding, preserving, and analyzing their data collection, data security is often put off. It is a terrible idea to keep sensitive information in an unprotected location. Due to data breaches, some organizations have lost as much as $3.7 million.

Challenge 5: Solution

Companies are increasing the number of cybersecurity professionals they employ to safeguard their data. The following are also part of the process of protecting Big Data: Encryption of confidential data Separation of the data Restrictions on who may access what information Securing devices at the point of Real-time use security monitoring Big Data security is more accessible with IBM Guardian.

Final Thoughts

Big data adoption takes time, and the challenges it poses are considerable. We hope that our guidance and insights will assist you in overcoming some of the most challenging aspects of big data. It is not uncommon for a data project to fail. It is not yours to keep, however.

How can DevOps take Advantage of AI?

AI has been trending for the last few years, but now the question has become, “How can DevOps take advantage of AI?” Well, it is surprising how amazingly DevOps has been making the most out of the application of AI. Artificial intelligence (AI) and machine learning (ML) can assist DevOps humans in moving away from simplistic tasks.

 One part of DevOps is automating routine and repeatable processes, and AI and ML can conduct these tasks more efficiently, allowing teams and businesses to perform better. Some algorithms can do various activities and procedures, allowing DevOps professionals to do their jobs efficiently.

How can AI help DevOps Services and Solutions?

DevOps is a set of methods that promote improved collaboration and automation between development and operations teams. It is a set of processes that assists a team in developing, testing, and deploying new software more quickly and with fewer bugs.

Artificial intelligence refers to a computer program’s or machine’s ability to reason and learn. It is sometimes referred to as a branch of research that focuses on making computers “smart.” DevOps teams may use AI in various ways, including continuous planning, integration, testing, deployment, and constant monitoring. It can also improve the efficiency of all of these procedures. Artificial intelligence allows DevOps teams to focus on creativity and innovation by removing inefficiencies. It also aids groups in managing data speed, volume, and variability.

How is Artificial Intelligence Driving DevOps Evolution?

Businesses are under a lot of pressure to satisfy their consumers’ ever-changing demands, and many are turning to DevOps to help them do so. However, many businesses find it challenging to implement AI and machine learning because of their intricacy. A creative mentality may be necessary to perceive any benefit from AI and DevOps.

Because of the complexity of the distributed application, tracking and organizing in a DevOps environment takes time and effort, which has traditionally made it difficult for the team to manage and handle customer complaints. Before developing AI and ML, DevOps teams could spend hundreds of hours and a significant amount of resources trying to find a single point within an exabyte of data. 

To address these issues, the future of DevOps will be AI-driven, assisting in managing massive amounts of data and computation in day-to-day operations. In DevOps, AI can become the critical tool for assessing, computing, and making decisions.

What is the AI’s Influence on DevOps?


AI can revolutionize how DevOps teams create, produce, deploy, and structure applications to increase performance and conduct DevOps business processes. 

There are three significant ways in which AI might affect DevOps:

Enhanced Data Accessibility:

For DevOps teams, the limitation of unrestricted access to data is a big point of stress, which AI may address by releasing data from its proper storage required for big data projects. AI can gather data from various sources and prepare it for accurate and thorough analysis.

Effective Resources Use:

AI provides much-needed expertise in automating routine and repeated processes, reducing the complexity of resource management to some level.

Greater Implementation Efficacy:

AI aids in the development of self-governing systems, allowing teams to move away from a rules-based human management structure. It contributes to the complexity of evaluating human agents to increase efficacy.

What are the benefits of DevOps?

According to cloud DevOps consulting services, DevOps has the following key benefits:

  • Quick delivery and response to consumer feedback
  • The process moves at a fast pace;
  • Best practices ensure reliability.
  • Interoperable Technology
  • Rapid adoption and deployment, resulting in time and cost savings
  • The main advantage is scalability and flexibility.
  • Incident response and management provide security and protection against risks and vulnerabilities.
  • Supports third-party collaboration
  • Tools from the open-source community can be used.

How Can Enterprises Apply AI to Optimizing DevOps?

AI and machine learning can help organizations dramatically improve their DevOps environment. For example, AI may assist in managing complicated data pipelines and creating models that feed data into the app development process. AI and machine learning will overtake IoT in digital transformation by 2022.

Implementing AI and ML for DevOps, on the other hand, poses various obstacles for businesses of all kinds. A tailored DevOps stack is necessary to profit from AI and ML technologies. By streamlining DevOps operations and making IT operations more responsive, AI and ML may provide a meaningful ROI for a corporation. They can boost the team’s efficiency and productivity while also helping to bridge the gap between humans and big data.


A corporation that wishes to automate DevOps must choose between purchasing or developing a bespoke artificial intelligence layer. The first step, though, is to build a solid DevOps infrastructure. After laying the foundation, artificial intelligence can boost efficiency. 

Investing in DevOps consulting of cloud services solutions has proven to enhance growth, performance, and revenue return. Enteriscloud offers DevOps consulting services to improve your DevOps culture through automation, collaboration, and management.

By removing inefficiencies across the operational life cycle and enabling teams to manage the amount, pace, and variability of data, AI may help DevOps teams focus on creativity and innovation. It can lead to the automatic enhancement and an increase in the efficiency of the DevOps team.

How does Cloud Computing help us Analyze Big Data?

Networks, storage, and servers are all pushed to their limits for large-scale data processing. This is why some businesses shift these responsibilities and expenses to the web. Due to cloud-based big data, many new economic opportunities and technical problems have arisen. Analyzing massive volumes of data to discover patterns, correlations, market trends, and customer preferences is at the heart of big data analytics. How does Cloud Computing help us Analyze Big Data, Let’s explore the possibilities.

Nowadays, Big Data analytics powers almost all of our online activities. An excellent example of this is Spotify, a music-streaming service. The program is used by nearly 96 million users every day, resulting in a massive volume of data. For example, the cloud-based platform employs a recommendation engine to automatically select music based on users’ likes and previous search history, among other things. This is made possible by the methods, tools, and frameworks created due to Big Data analytics.

Spotify offers the most popular songs to you based on your playlists and other preferences, depending on your preferences and history. An algorithm-based recommendation engine may be used to acquire data and then filter it out. In Spotify’s view, this is the way to go.

Cloud Computing and Analysis of Big Data

Big data analytics may evaluate large amounts of structured and unstructured data on the cloud. The scalability of the cloud may be advantageous for big data analytics. Companies save money by using cloud computing instead of large-scale big data resources. Thanks to the cloud, it is also easier for companies to incorporate data from several sources.

Cloud computing offers several advantages when it comes to big data analytics.

Cloud-based operations and big data analytics are a financial boon for many participating organizations. Because massive data centers have to be purchased and maintained by enterprises to do big data analytics on-premise, this is why. This is the responsibility of the cloud service provider. This does not suggest that your own big data centers are being abandoned. Your data centers will be smaller and more efficient since you will not require as many on-premise resources. Big Data analytics and infrastructure are at your fingertips while working in the cloud environment.

In addition, a cloud-based approach allows for the rapid construction of big data infrastructure. Big data analytics operations may now be implemented quickly and inexpensively thanks to a low-cost infrastructure that enterprises would otherwise have to build from scratch.

Big Data Consulting

Large volumes of data are given over to consultants, who then use diverse methods, including storing and processing data and statistics and visualization to provide the clients with relevant and valuable information.

For organizations, what are the Advantages of Big Data Consulting?

All the Data is within your Control

In order to extract information that might be critical to their future development and success, companies and organizations employ professionals to sift through massive amounts of data. If a vast volume of data is analyzed efficiently, hidden information may be uncovered, leading to enhanced business processes and overall performance.

It is Vital to keep Expenses in mind while Expanding a Firm

Big data consultants may help organizations save money by assisting them in developing their businesses. When hired, data consultants may help a business concentrate on the areas where it can make the most money. Scaling up this company takes less time since there is less trial and error.

Boost Productivity without the need for more Staff

Big data consulting may also be utilized to lower the overall cost of employing new staff by 30%. When it comes to a team member requesting extra time and money to do an excellent analysis of the data, it is pretty rare to see this happen. You may outsource Big Data Consulting services to a professional who can guarantee high-quality solutions if your organization has a demand or need. 

Other companies and individuals may get new views and ideas on evaluating and understanding massive data volumes, which might lead to new concepts that increase productivity and profitability.

Big Data Cloud Services

For constructing sophisticated Big Data & Analytics applications, Microsoft Azure and Amazon AWS are the most popular big data cloud solutions and big data cloud services available in the market.


Several companies have implemented backup and recovery solutions based on the cloud. Virtual data management may alleviate one of the main pain points in the enterprise’s big data demands. The primary purpose of both technologies is to help businesses better understand their customers. 

Businesses will be able to generate new goods more quickly, adjust more quickly to changing market conditions, and enter previously untapped areas due to increased usage of big data analytics and the cloud.

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