Top 4 Advantages of Merging Cloud Computing in Artificial Intelligence

Advantages of Merging Cloud Computing in Artificial Intelligence
We live in the modern era of Artificial Intelligence (AI), where machines replicate human behavior. As a result, it is capable of performing many functions that are attributed to humans. According to Statista, the global AI market would reach USD 89 billion annually by 2025. The credit of the overall growth goes to the integration of cloud computing in artificial intelligence.
The customized merger of these two modern technology domains has enhanced the lives of millions.  In fact, in our daily life, we often use artificial intelligence when we command cloud-based digital assistants such as Siri, or Alexa, ask for directions on our phones, or get real-time traffic alerts on our GPS.

Cloud Computing and Artificial Intelligence- An Overview

With such an impactful collaboration, businesses are set to achieve rapid digital transformation to live up to the competitive edge. But before we ponder upon the business benefits of cloud computing and artificial intelligence integration, let us have a generic synopsis of both technologies.

Cloud computing provides computing services for system resources (servers), cloud storage, databases, networking, applications, analytics, and intelligence, as and when required by the user. It assists you to share the resources, accelerate innovation, manage your infrastructure efficiently, scale with your business demands and optimize your capital expense by paying only for cloud services that you use.

Artificial Intelligence, widely known as AI, is the induced virtual intelligence in machines to make them capable with intellectual powers similar to humans. The AI technology enables machines to think logically, learn from past activities, ascertain the meaning, and simplify actions. Artificial Intelligence has several applications such as text analytics, expert systems, machine language translation, speech recognition, natural language processing, sentiment analysis, and many more.

How Does the Collaboration of Cloud Computing and Artificial Intelligence Help a Business?

According to a study by McKinsey, across 19 different business domains and above 400 use cases, AI could create USD 3.5 trillion and USD 5.8 trillion per year in value. In addition, AI teaming up with the cloud computing environment makes organizations efficient, tactical, and insight-driven.

Following are the vital four advantages of cloud computing and AI collaboration.

Performs Data Mining and Analytics

Cloud stores disparate data, which needs sorting and analysis to derive their hidden narratives. Artificial intelligence runs analytics to process the data, identify the pattern and determine the predictive algorithm to extract useful information. This process is known as data mining. Further, AI helps you to manage core workflows by leveraging cloud efficiency to ease out transactional processes. The integration of cloud computing with artificial intelligence supports your business in data management, determine actionable insights, deliver customer services, and augment workflows. Moreover, it equips you with accurate insights as there is no scope for human-interceded errors.

Cloud Security in Real-Time

Cloud Security in itself is a vast topic that engages expert’s bandwidth. However, its link with the role of AI in cloud computing recognizes its capability to detect anomalies while processing the large amount of data stored in the cloud. It can instantaneously provide an alert in real-time. Additionally, AI can also identify unauthorized attempts to access any network and helps you to block them promptly.

Allows Unhindered Data Access and Improves Decision-Making Capabilities

The merger of AI in cloud computing can help you avert complications related to data inaccessibility and boost your overall performance. Further, the combination helps you to mitigate potential risks in your cloud environment well in advance. As a result, it enables you to make the right decision for your business. Further, AI can facilitate seamless data transfer between on-prem and cloud environments.

Maintains Cost-effectiveness and Improves Productivity

The combination of cloud computing and AI intends to reduce overall costs. The merger helps you control the cost of implementing Artificial Intelligence in your business ecosystem because you don’t have to set up a separate data center. As a result, AI applications can significantly save capital expense concerning expenditure on arrangements for infrastructure. Further, it reduces the cost incurred due to manual operations and saves time to enhance your business productivity.

Final Thoughts

According to a recent conversation with Media 7, James Lee, Managing Director and Head of Financial Services, Analytics and Cloud Transformation at PwC, said, “A secure cloud data platform is fundamental to every successful digital transformation.” In the present competitive era, businesses are constantly looking for innovative solutions to secure their data, ensure their overall development. Cloud computing and artificial intelligence are advanced combinations to capture market attention and make a global presence. It helps you automate your processes, secure your operational data and network, control cost, boost your productivity and get accurate insights for better decision-making.

Frequently Asked Questions

What is the Use of AI in Cloud Computing?

Businesses use AI-driven cloud computing to perform efficiently, plan effectively to extract data-driven insights. AI helps to simplify complex and redundant operations to improve productivity, perform analytics without any manual effort.

Which are the Best Cloud Platforms for AI?

Some of the best cloud platforms for AI are as follows:
  • Microsoft Azure
  • Google Cloud Machine Learning Engine
  • Amazon ML platform services
  • INTEL Nervana Platform
  • Salesforce Einstein suite

Spotlight

NuWave Technology Partners

Servicing the business, healthcare, and public sector markets, NuWave Technology Partners designs, implements and supports Data Center / Cloud Solutions, Networks, PCs, Servers, Voice over IP Telephone Systems and more.

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Article | July 11, 2023

With the huge amounts of data in all fields, a future in the cloud is imperative to help deal with this explosion of data, especially in the field of intelligence technology. This is the reason why the US Central Intelligence Agency is updating its cloud technology. The agency has recently released a draft request for proposal for its Commercial Cloud Enterprise contract.The C2E tens of billions contract will be a multi-award commercial cloud computing contract with a five-year base period and two five-year options for a period of performance of up to 15 years, according to nextgov.com.In a March 2019 presentation by the Directorate of Digital Innovation, a division of the CIA, the department outlined its vision for C2E. It would be broad and include infrastructure, platform and software cloud services supporting a broad range of users, with a variety of security clearances and a worldwide presence, as reported by techcrunch.com. The principal C2E Program objective is to acquire cloud computing services directly from commercial cloud service providers with established records for innovation and operational excellence in cloud service delivery for a large customer base,the department stated in the presentation.Apparently, the agency prefers to avoid all the attention that the Pentagon’s JEDI cloud procurement process got, and quietly go about its business.

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Article | February 10, 2020

Amazon Web Services (AWS) is raising its stake on cloud computing infrastructure in Latin America. Proof of this is that the IT company will use R$1 billion (around US$235 million) to expand its data center in Sao Paulo. These millions will be used for its Data Processing Center located in that part of Brazil. In addition, a portion of these US$235 million will also be used to increase the services it offers to both public and private parties.The move gives reason to suggest that AWS is upping the ante in the future of startups and tech in the region that rely on cloud services to develop their own products.It launched its cloud center in Brazil in 2011 but it’ll be getting some beefing up thanks to these funds. Moreover, AWS has two Edge networks in São Paulo and two in Rio de Janeiro. As well as one in each of the following cities: Bogotá (Colombia), Buenos Aires (Argentina), and Santiago (Chile).The objective of all of this is to be the region’s prime provider of cloud infrastructure and beat out its competition AKA, Google Cloud Platform and Microsoft’s Azure.

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