Why Data Agility is a Key Driver of Big Data Technology Development

JIM SCOTT | April 26, 2016

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As technology advances at breakneck speed, our lives are becoming increasingly digitized. From Twitter feeds to sensor data to medical devices, companies are drowning in big data yet starving for actionable information. Most likely, you've heard a lot of talk about the volume, variety, and velocity of big data and how challenging it is to keep up with that explosion of data.

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Flexible building blocks for the new cloud and data-driven world

Article | March 16, 2020

Deep learning at the edge.Complex real-time analytics. Global video processing. Anything IoT. It’s easy to get excited about leading-edge applications, harder for the unglamorous-seeming foundational technology needed to bring them to life.Many enterprises remain torn between what seem like dueling demands: Enabling new strategic initiatives while modernizing core infrastructure, including building new hybrid clouds and multi clouds. It can feel a bit like running a busy restaurant that’s adding exotic new menu items during a major kitchen renovation.

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Full Lifecycle Cloud Security

Article | April 9, 2020

When security teams find cloud vulnerabilities and misconfigurations at runtime, they are often blamed for introducing friction into the continuous integration/continuous delivery (CI/CD) pipeline and stifling the enterprise’s ability to innovate as efficiently as possible. But it is not the fault of the security team; rather, it is the broader approach that limits the involvement of security until it’s too late. When put in this position, the security team must scramble to find the fault, determine the root cause, track down the right person and work to develop the remedy, and then ensure the fix is implemented correctly.

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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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New Cloud TPU VMs make training your ML models on TPUs easier than ever

Article | June 1, 2021

Today, we’re excited to announce new Cloud TPU VMs, which make it easier than ever before to use our industry-leading TPU hardware by providing direct access to TPU host machines, offering a new and improved user experience to develop and deploy TensorFlow, PyTorch, and JAX on Cloud TPUs. Instead of accessing Cloud TPUs remotely over the network, Cloud TPU VMs let you set up your own interactive development environment on each TPU host machine. Now you can write and debug an ML model line-by-line using a single TPU VM, then scale it up on a Cloud TPU Pod slice to take advantage of the super-fast TPU interconnect. You have root access to every TPU VM you create, so you can install and run any code you wish in a tight loop with your TPU accelerators. You can use local storage, execute custom code in your input pipelines, and more easily integrate Cloud TPUs into your research and production workflows.

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Spotlight

CIIC - Internet Solutions

CIIC is a web design and hosting company. We specialize in high quality web site design and the web site hosting. We offer our clients unparalleled customer service for small to medium-sized industrial companies at prices they can afford. Despite our small size we still offer the same 24/7/365 support that is needed from a web hosting company. If fact we do better because rather than calling an 800 support line were they are unlikely to actually know your account, when clients call us we know their needs and can help solve their problem right away.

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