DEMO: Hybrid Cloud Management

SUDIP DATTA |

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Sudip Datta, VP of Oracle Product Management demonstrates Hybrid Cloud Management using Oracle Enterprise Manager at Openworld 2015

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OTHER ARTICLES

CAN CLOUD EMERGE VICTORIOUS AMIDST THE COVID-19 MAYHEM

Article | April 6, 2020

Now, as coronavirus continues on its warpath, people in the white-collared sector are engaging with their workspace family to get the jobs done by the help of a new savior: Cloud. This unsung hero has been a virtue in terms of reliability, scale to handle and store massive database, security, and flexibility. With office closures, social distancing, stay at home orders in force, virtual connectivity is our best hope. Cloud computing has enabled entertainment, shopping, family and friends interactions, online education, work, and art collaborations, meetings and conferences, etc. at the comfort of our home. So it is safe to say that cloud has risen to form an essential backbone in this time of crisis.

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Need to define outcomes before making data centre software defined

Article | April 6, 2020

In the new age IT, mobile, cloud era, the expectations of the functional users from IT is changing rapidly. The desire is to get services with efficiency, agility and security. In this backdrop it’s necessary to take a step by step approach to build gradually. The IT should have two prerequisites to become an enabler for business and it should become a service broker for both the private and public cloud services by establishing a unified operations environment and framework.Software defined IT infrastructure can serve the purpose of being an enabler and easing resource provisioning and management. Maruti Suzuki began its software defined journey long back with server virtualisation . We shall be implementing software defined networking solutions in the near future.

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Palo Alto Networks Advances DevSecOps in the Cloud

Article | April 6, 2020

New capabilities include the ability to define and apply cybersecurity policies to continuous integration (CI) and continuous delivery (CD) workflows and scanning tools for discovering misconfigurations in cloud infrastructure templates, which is the most common source of cloud security issues.Palo Alto Networks has also added the ability to scan virtual machines native to the Amazon Web Services (AWS) before they are deployed as well as an ability to apply policies to workloads running on the AWS Lambda serverless computing framework via a single click. That capability eliminates the need to manually install wrappers in application code running on the AWS Lambda framework.

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Top 4 Advantages of Merging Cloud Computing in Artificial Intelligence

Article | April 6, 2020

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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Spotlight

Click Labs

"Click Labs is a young, enthusiastic team of mobile strategists, designers and developers, dedicated to help companies of all sizes leverage the exciting and dynamic world of application development and solution consultation. Our areas of expertise include Mobile Gaming, Startups, Enterprise Mobility, and Solutions. We co-create customized solutions (mobile apps) for our clients to reach out to their audience in the most efficient way. Simply put, we create awesome digital solutions!"

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