WPP Group Selects Google Cloud for Data Analysis Technologies

| September 23, 2019

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Google Cloud announces today that the WPP Communications Group, present in 112 countries including France, has chosen Google Cloud for its data analytics technologies to develop and offer its customers new offerings that combine innovation and creativity. This collaboration concerns 3 key initiatives.The management and the management of campaigns, notably using the technologies of automation based on the cloud for the implementation, the creative management, the reporting and the optimization of these through the the entire WPP network.

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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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Discovering Kubernetes-Ready Solutions for Cloud Native Applications

Article | June 7, 2021

The way we architect and build applications has changed over the last decade or so. Where monoliths (or single, large codebases) used to be the standard, modern applications are now built using a combination of new architecture patterns, operational models, and software delivery services. By shifting to a microservices architecture, teams can more easily update, replace, and innovate on small, modular codebases—driving faster business innovation while reducing risk, time to market, and total cost of ownership. This modular microservices approach has spurred the use of containers as a lightweight, portable solution to the infrastructure needs garnered by these loosely coupled services. As such, containers have largely become the centerpiece of automation and DevOps in the enterprise. This gives teams the ability to capitalize on the flexibility and scalability offered by the use of containers, but it also means more moving parts and more perimeters to manage. Kubernetes has emerged as the gold standard for handling container orchestration.

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Grow Your Business With an Evolving Cloud Security Strategy

Article | March 17, 2020

The cloud is ever-developing, and the only way to grow your business in the long term is to have the right security strategy around your cloud environment. According to MarketWatch, in 2019, the size of the global cloud computing market was $62.73 billion, and it is expected to reach a whopping $383.78 billion by the end of 2026, with a compound annual growth rate (CAGR) of 29.2 percent during 2021–2026.

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Marketing Planning in Uncertain Times: How to Plan When Everything is in Flux

Article | March 31, 2020

In the recent weeks and months of the COVID-19 pandemic, marketers around the globe have had to come to terms with the fact that their carefully laid marketing plans can’t stand up to the new normal of social distancing, remote working and the near-complete shutdown of entire cities, regions and countries. Maybe it was a marketing plan that relied heavily upon generating leads at in-person tradeshows, which are all cancelled for the foreseeable future. Or perhaps it was a plan that called for a clever direct mailing to members of a B2B audience, who are now working from their homes instead of offices.

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Pluribus Networks

Pluribus Networks is simplifying the Software-Defined Data Center with its simple, dynamic and secure Adaptive Cloud Fabric architecture, enabling organizations to build scalable private and public clouds that improve service velocity, performance, and reliability.

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