10 Ways Cloud Computing And AI Boosts Your Business TOP
Cloud computing is making rapid progress in the market and provides ease of doing business due to its flexible options, Infrastructure as a service (IaaS), Software as a Service (SaaS) and Platform as a Service (PaaS).
10 Ways Cloud Computing and AI boosts your Business
ConclusionCloud Computing and Artificial Intelligence have created a very promising pathway for businesses of all scales and sizes to move forward on, and this pathway will become more and more established with years of research and studies to come. It can be surely said that employing cloud and AI techniques in your business will help in optimizing resources and costs involved in running the system. It will also increase your market presence, and AI algorithms will give business owners a definitive and highly accurate market sector, which the owners can later decide to act upon. Using these techniques will make all kinds of businesses more productive, and will surely generate a relatively higher amount of revenue and presence than before.
In the past few years, we have seen a dramatic increase in the number of companies adopting cloud computing strategies. From using applications on local machines to now hosting it on a remote cloud location, companies have started seeing various benefits of using the same application over the internet. Cloud computing in business is becoming the new normal, and it is estimated that most of the companies will be using at least one cloud service by the end of 2018.
Today, cloud computing serves as an opportunity for small businesses to get access to high-end technologies, which was earlier restricted only to large IT companies. Cloud computing enhances business productivity, process efficiency, cash flow, and also offers a series of other benefits. This article lists top benefits of cloud computing for businesses and impact of cloud computing on SMBs.
The cloud is completely redefining the way in which businesses are operating today. There are basically three layers in cloud computing, they are Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Applications/Software as a Service (SaaS). Most of the companies start from the applications level and also benefit from other cloud services provided by the service providers. The cloud computing impact on businesses is massive and some of the top ways in which business productivity can be enhanced are listed here -
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Cloud computing has been credited with increasing competitiveness through cost savings, greater flexibility, elasticity and optimal resource utilization. As a technology, cloud computing is much more than the sum of its parts. It opens doors to cloud-native technologies, supports more efficient ways of working and enables emerging capabilities in machine learning (ML) and artificial intelligence (AI).
Multicloud takes things a step further and allows organizations to use two or more clouds from different cloud providers. This type of cloud computing can include any mix of IaaS, PaaS or SaaS resources. With multicloud, workloads can be run in different cloud environments to match unique needs. This also means that companies can avoid vendor lock-in.
Building a DR site and testing a business continuity plan can be an extremely expensive and time-consuming task with fixed assets. When built in the cloud, however, organizations can replicate their production site and constantly replicate data and configuration settings, saving considerable time and resources.
While these top seven uses of cloud computing are not exhaustive, it shows the clear incentives for using the cloud to increase IT infrastructure flexibility, while also making the most of big data analytics, mobile computing and emerging technologies.
IBM Cloud offers the most open and secure public cloud platform for business, a next-generation hybrid multicloud platform, advanced data and AI capabilities, and deep enterprise expertise across 20 industries. IBM Cloud hybrid cloud solutions deliver flexibility and portability for both applications and data. Linux, Kubernetes and containers support this hybrid cloud stack, and they combine with RedHat OpenShift to create a common platform connecting on-premises and cloud resources.
Larger businesses have been making a move to the cloud for several years, gradually reducing their levels of investment in on-premises data centers and servers. But the trend toward cloud adoption has seen a significant uptick in recent years, as the COVID-19 pandemic forced organizations of all sizes to enable and support more remote, distributed workforces.
The cloud computing model enables users of internet-based computing services to be charged for what they consume on a pay-per-use basis. This is often referred to as a consumption-based pricing model and is a departure from more traditional subscription-based pricing models.
The cloud computing world is currently dominated by a handful of large, public cloud service providers (CSPs) and their products. These include AWS, Google Cloud Platform (GCP) and Microsoft Azure. These vendors can deliver the same service to hundreds of thousands -- or even millions -- of customers of various sizes and across different industries at an attractive price point.
Cloud computing is firmly entrenched in all aspects of business and home lives, and it's here to stay. That means increasing numbers of businesses are actively seeking out qualified and experienced cloud experts across several domains, including engineering, database management, programming, development, security and analytics. LinkedIn rates cloud computing as the most sought-after tech skill, alongside artificial intelligence and big data. This presents an opportunity to those who are willing to rise to the challenge of mastering the basic and more advanced cloud computing skills.
Gaining a thorough understanding of the CSP marketplace is a good starting point. Familiarize yourself with the three big public cloud computing platforms, which are AWS, Microsoft Azure and GCP. Other companies with cloud platforms include IBM, Oracle Cloud Infrastructure, DigitalOcean and Alibaba Cloud.
Any aspiring cloud computing professional should gain a firm grasp of the fundamentals of AI and machine learning. In cloud environments, much activity takes place without a high degree of human interaction. Machine learning and artificial intelligence skills are among the scarcest and most sought-after technology skills out there today.
The negative effect of the loss or breach of personal customer data or proprietary company intellectual property can be devastating for businesses from both a reputational and financial perspective. Today, the demand for cybersecurity talent well outpaces its supply, and the ongoing rise in cloud computing technologies means that this trend is only set to continue.
While the cloud has many benefits, it is not suitable for every part of a business's IT infrastructure, applications and workloads. For this reason, the notion of adopting a hybrid cloud approach has gained popularity in recent years.
Data lies at the heart of cloud computing, so it is essential to understand how and where to store it. Depending on a business's needs and the type and volume of its data, it may select one or more of the following types of storage:
Containers provide a packaging mechanism in which applications may be abstracted from the environments in which they are running. This decoupling process enables businesses to deploy container-based applications swiftly and consistently. Knowledge of today's most popular container technologies, such as Docker and Kubernetes, will increase your likelihood of securing employment in a cloud computing role. Every major cloud platform now has some form of container or Kubernetes service to help organizations manage deployments, and it's critical for cloud professionals to understand how they work.
Moving software applications from a data center into a cloud environment is more complex than copying files from one server to another. That's because applications running on premises often include software and even hardware dependencies that don't always directly translate into the cloud, in a lift-and-shift approach.
As the cloud is a different environment, a thorough assessment needs to be undertaken before any cloud migration is carried out. The best cloud professionals will treat each application on its own merits and be prepared to work with business stakeholders to chart the best course forward.
Automation is one of the most significant benefits of cloud services. If applications can be programmed to make their own, correct decisions without human intervention, it can increase efficiency. Of course, cloud professionals have a role to play in facilitating this kind of automation. Specifically, they need to be well versed in the mechanics of a business's cloud architecture and the different components that interact with or depend on one other.
Expertise in metrics and analytics -- and understanding which metrics should be applied to specific cloud services -- will stand you in good stead. That's because these skills enable you to demonstrate the ROI of a business's cloud technology.
As opposed to on-premises environments where hardware is fixed and services can be more static, cloud environments are extremely fluid. This means that the best cloud computing experts are comfortable functioning in an atmosphere that is continually in flux and can stay on top of constant changes to the underlying infrastructure, including databases, servers and network connections.