How Cloud Computing Works

| May 6, 2016

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Soon, your smartphone, TiVo, laptop, television -- all of your current gadgets -- will be obsolete. The future is “ubiquitous computing.” Think Google Docs, but on every screen you use, running every program you use -- every device drawing from the same pool of data and processing power. Here’s how we got to this point. - See more at: http://www.livescience.com/37942-how-cloud-computing-works-infographic.html#sthash.6xvMDMro.dpuf

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Cloud computing the ultimate virus protection

Article | April 13, 2020

Cloud communications are playing a vital part in making remote work actually work, according to Nicholas Kyriakides, expert in cloud-based communications and COO of netTALK Connect. Kyriakides outlines why this is so.According to Kyriakides, cloud communications are playing a vital part in making remote work actually work. Such solutions have allowed companies to quickly turn to remote work to keep their employees safe while keeping operations going without any major obstacles.Kyriakides explains further that the current situation has created a great testing ground for the capabilities of remote work and cloud-communication use at a truly massive scale that could bring long-lasting changes about how we approach remote work and communication in business.Digital Journal spoke with Nicholas Kyriakides (netTALK Connect) about who to best implement cloud-based communications.

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What Is Cloud-Native and Why Does it Matter for CI

Article | February 11, 2020

Continuous intelligence (CI) relies on the real-time analysis of streaming data to produce actionable insights in milliseconds to seconds. Such capabilities have applications throughout a business. In today’s dynamic marketplace, new CI applications that use data from various sources at any given time might be needed on very short notice.The challenge is how to have the flexibility to rapidly develop and deploy new CI applications to meet fast-changing business requirements. A common approach employed today is to use a dynamic architecture that delivers access to data, processing power, and analytics capabilities on demand. In the future, solutions also will likely incorporate artificial intelligence applications to complement the benefits of traditional analytics. Increasingly, cloud-native is the architecture of choice to build and deploy AI-embedded CI applications. A cloud-native approach offers benefits to both the business and developers. Cloud-native applications or services are loosely coupled with explicitly described dependencies.

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Top 4 Advantages of Merging Cloud Computing in Artificial Intelligence

Article | September 8, 2021

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 { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is the Use of AI in Cloud Computing?", "acceptedAnswer": { "@type": "Answer", "text": "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." } },{ "@type": "Question", "name": "Which are the Best Cloud Platforms for AI?", "acceptedAnswer": { "@type": "Answer", "text": "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" } }] }

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6 Ways to GET MORE, DO MORE in the Cloud

Article | February 10, 2020

Want your business to thrive and prosper? You’re going to want a lot more from the Cloud than just access to your software. To truly improve your projects, accountability and ROI, you need LOADSPRING CLOUD PLATFORM. It has the flexibility and control to pivot at lightning speed and be responsive to your business needs. Lighten the burden on your IT team and accelerate business success! Our legendary cloud and app support makes sure you get flawless performance from project software. And yes, it’s all built into LOADSPRING CLOUD PLATFORM.

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We at Appwhiz refer to our business solutions as "Whiz" Technology where we have integrated the best of hardware and software to come up with complete business solutions for small to large enterprises.

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