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AI in Cloud Computing – A Strategic Decision Guide

AI in Cloud Computing A Strategic Decision Guide
Artificial Intelligence

AI in Cloud Computing – A Strategic Decision Guide

The overall business scenario has been revolutionized due to the advancement of the latest digital technologies. It helps a business organization to grow and improve. Among all digital technologies, AI in cloud computing is the most talked about jargon. But before going deep, we first need to understand what cloud computing is. 

What is cloud computing?

Cloud computing involves renting online computer power to improve overall business performance without installing a new network or a piece of hardware equipment. Cloud computing helps to deliver various computer services such as storage, servers, databases, software, networking, and analytics over the internet. 

There is a central server that looks after all the communication between client devices and servers to facilitate a seamless exchange of data. Privacy and security are vital components of cloud computing to keep all the data safe and secure.One of the advantages of availing the best cloud computing services is that a business organization or an individual tends to only pay for what they use. This helps to deliver faster innovations with flexible resources giving economies of scale. However, it should also be kept in mind that while opting for cloud computing architecture, there is no one-size-fits-all. What worked for one business organization, might not work for another. This versatility and flexibility can be considered one of the hallmarks of cloud computing allowing business organizations to quickly adapt and change according to the evolving market scenarios.

There are three different cloud computing deployment models. Each of these deployment models is defined according to where the infrastructure for the environment is located.

The three different models are as follows-

  • Public cloud 

Just as the name suggests, the public cloud is accessible to the public. This type of public deployment model in the cloud is suitable for business organizations that have fluctuating and growing demand. In addition, the public cloud is an excellent choice for business organizations who has low-security concerns. 

As a result, when a business organization or individual pays for the best public cloud computing platform, all the networking services, storage, and computing virtualization are available on the public internet – third-party cloud service providers, enabling business organizations to access various on-demand resources based on their unique requirements and overall business goals.

Furthermore, the public cloud is a great delivery model for the development and testing team of a business organization. It is because the configuration and deployment are quick and easy, making it a perfect choice for the test environment. 

According to recent data, the global revenue for the Public Cloud market is expected to reach US$595.50 bn by the end of the year 2023. This shows that more and more business organizations are opting for the public cloud model. The public cloud computing model offers scalability, especially to start-ups and small-scale companies while saving them money by eliminating equipment.

  • Private cloud

Private clouds are built, owned, and managed by the in-house team of a business organization or a private individual. It is hosted privately in its data centers which are also commonly known as “on-prem” or “on-premises”. They tend to provide greater security, control, security, and overall management of data. With the help of a private cloud computing model, internal members of the company can benefit from the shared pool of data, network resources, and storage.  

The private cloud tends to provide a high level of security and privacy to data through firewalls and internal hosting. It also ensures that operational and sensitive data are not accessible to third-party providers. HP Data Centers, Microsoft, Elastra-private Cloud, and Ubuntu are examples of private cloud.

  • Hybrid cloud 

A hybrid cloud just as the name suggests is an amalgamation of two or more cloud architectures. It tends to combine and unify public and private frameworks to create a single, cost-effective, and flexible IT infrastructure. 

Say, for example, a business organization will prefer storing all the vital data on the best private cloud platform. On the other hand,  less important data are stored on a public cloud. In addition, a hybrid cloud is also frequently used for “cloud bursting”. Now you must be wondering what is cloud bursting. Cloud bursting is a technique of application deployment where an application tends to run on a private cloud or data center and is burst into a public cloud when there is an increase in overall demand for computing capacity. This deployment model in turn gives the business organization access to more computing resources as and when required.

Cloud computing and its applications

Cloud technology tends to provide many benefits in a business environment. It can be considered an affordable way to scale a business mainly because of its short deployment time. The main advantage of cloud computing is its flexibility and accessibility. A business organization can move its entire operations online to a virtual office with the help of cloud computing. As a result, employees can access the system from any part of the world and get their job done. Cloud computing is an excellent option for a business organization that wants to scale its operation with a limited budget and resources. Due to cloud computing, business organizations are not required to invest in additional hardware. This helps to reduce the overall cost of IT. Cloud computing tends to act as a single platform where all the team members can collaborate directly on a single platform.

Key benefits of cloud computing

Various benefits of cloud computing are as follows-

  • Omnipresence 

Cloud is present everywhere and as a result, users can access it easily. Because of the omnipresent nature of cloud computing, users can access its vital features such as trackable data, easy access to functionality, and overall transparency. In addition, with the help of cloud computing, multiple users can work on the same project without any glitches. This in turn not only helps to reduce the overall cost but also builds a robust work model with a strong network.

  • Data security 

Data security can be considered one of the most important factors for the growth of a business organization. The heavy encryption of the cloud helps to reduce the risk of data theft. 

  • Cost reduction 

Cloud computing technologies provide a natural economy of scale by allowing business organizations to pay for only what they need. This in turn helps to reduce the overall cost by optimising both hardware and software licenses along with storage purchase. 

  • Overall control 

Data loss, operational dysfunction, and lags often cause revenue loss for a business organization. With the help of cloud computing, a company tends to get sufficient control over its ongoing activities. They can track the usability, accessibility, and deployability of vital data with the help of cloud computing. Compartmentalizing tasks tend to streamline work and allow employees to perform their duties more efficiently. 

  • Mobility 

Mobility has become one of the main features because of the omnipresent nature of cloud computing. Business organizations can easily connect remotely over a wide range of devices such as iPads, laptops, and smartphones because of cloud computing. In addition, cloud computing allows instant solutions, quick turnaround time, and constant connection.

What is artificial intelligence?

Artificial intelligence (AI) refers to the theory and development of computer systems that are highly capable of performing tasks that require human intelligence and cognitive skills such as decision-making and speech recognition. Overall AI is an umbrella term that includes several technologies such as deep learning, natural language processing (NLP), and deep learning. 

AI and machine learning tools tend to focus on various cognitive skills such as –

  • Learning –  This aspect of AI programming focuses on getting all-important data and creating rules for converting them into useful information.  These rules also known as algorithms help to provide essential step-by-step instructions to various computing devices to complete a particular task.
  • Reasoning – With the help of this aspect of AI programming, users can focus on deciding the right algorithm to reach the perfect outcome. 
  • Creativity – This aspect of artificial intelligence programming tends to use neural networks, statistical methods, rules-based systems, and other AI systems to create new text, new images, new ideas, or new music. 
  • Self-correction – This aspect of AI helps to fine-tune algorithms at regular intervals to ensure they provide the most accurate results possible. 

At the grassroots level, AI and machine learning tools tend to use various algorithms that are based on data sets to design machine learning models with the help of which computer systems can perform various tasks such as identifying the shortest route to travel to a particular location, making song recommendations or translating text from one language to another. 

Some of the most common examples of AI used in today’s day-to-day life are as follows- 

  • ChatGPT – This AI-based chatbot tends to use large language models (LLMs) to generate text in reply to questions asked.
  • Google Translator – This application uses deep learning algorithms to translate text from one language to another. 
  • OTT platform – Various OTT platforms use AI and machine learning tools and algorithms to create personalized recommendation engines for users based on their earlier viewing history.

Artificial Intelligence and Its Applications

In today’s ever-evolving business environment, AI and machine learning tools are being used in all industries across various fields to streamline their entire operations. It tends to be more versatile than any human employee as they can find correlations between various data faster and without many errors.

AI has spread like wildfire and most business organizations have started using various advanced AI applications to improve overall production and management. Coupled with technologies such as loT digital twins and IoT, artificial intelligence provides excellent results while saving a lot of time, energy, and money.

In addition, AI and machine learning tools are being used by various business organizations to automate production, improve customer engagement, reduce error, and increase return on investment (ROI). This in turn helps to increase the overall productivity and efficiency of a business environment.

Key benefits of Artificial Intelligence

The top benefits of artificial intelligence are as follows –

  • Automation

Automation can be considered one of the most important benefits of AI technology and has a noteworthy impact on transportation, communications, and service industries. Automation with the help of artificial intelligence gives higher productivity, reduces lead times, efficient use of resources, etc. 

  • Improve customer experience 

AI-powered chatbots that use Natural Language Processing technology help a business organization reply to customer grievances and queries quickly and efficiently. They help to reduce the overall burden on the customer service staff and improve productivity. 

  • Smart decision making

Best AI tools help to perform various activities such as analyzing data, identifying trends, developing data consistency, providing forecasts, and quantifying uncertainties to make the best decisions for a business organization. 

  • Reducing errors 

Various robotic process automation tools are used for the overall process and data entry jobs. This in turn helps to reduce the chances of manual errors and increases overall efficiency.  

  • Solve complex problems 

The advancement of artificial intelligence from basic machine learning to advanced deep learning models has made them useful for solving complex problems. From personalized customer interactions to fraud detection to medical diagnosis to weather forecasting, artificial intelligence (AI) is helpful for business organizations across various fields to solve complex problems, increase productivity, and reduce overall expenses.

AI in cloud computing

AI in cloud computing tend to work together to enhance each other’s capabilities. The use of Artificial intelligence (AI)  helps in automating various complex processes such as data management, data analysis, decision-making, and security, thereby, improving overall user experience. Cloud computing on the other hand tends to provide important computing infrastructure and resources required to train and deploy various artificial intelligence (AI) models at scale.   

Siri and Alexa are the two most commonly used examples of this seamless combination of Cloud computing for AI that helps to perform various tasks such as playing a song, online shopping, switching on electrical appliances, etc. 

Benefits of AI in cloud computing 

The top benefits of AI in cloud computing are as follows- 

  1. Flexibility and Scalability 

A business organization can allocate any additional computing resources effortlessly for better customer satisfaction and uninterrupted services with the help of AI in cloud computing. 

  1. Cost savings 

A business organization can optimize its resource allocation ensuring minimal downtime, the efficiency of all machinery, and the conservation of money and energy with the help of AI cloud infrastructure.

  1. Improved decision making

Automation of tasks with the help of AI in cloud computing helps a business organization minimize errors and increase overall efficiency. This in turn is quite helpful in making informed decisions and generating valuable recommendations for customers because it takes into account old data to make predictions about future states. 

  1. Better data management 

Latest AI in cloud computing technology has transformed the whole process of data access thereby allowing business enterprises to make informed decisions and innovate at an unprecedented pace for better customer experience.

  1. Increasing productivity 

A business organization can gain access to predictive analytics that helps to identify trends and customer preferences resulting in increased revenue with the help of AI in cloud computing.

Top 5 Benefits Of AI in Cloud Computing

Wrapping Up 

AI has ushered in a new era for more efficient and insightful cloud solutions. With the advancement of technologies, business organizations are using AI in cloud computing innovations to get more and more real-time insights that tend to drive innovation for digital marketing and get an overall competitive advantage. These innovative tools will help boost overall productivity and streamline operations. So, if you want to take your business organization to the next level, avail the latest cloud computing AI tools today.

Also read: A Comprehensive Guide to Marketing Automation and AI 2023

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