Article | May 3, 2020
Pricefx, the global leader in native cloud pricing software, today announced that its Optimized Dynamic Pricing (ODP) solution is now an SAP endorsed app, available for online purchase on SAP® App Center. SAP Endorsed Apps are a new category of solutions from SAP’s partner ecosystem to help customers become best-run, intelligent enterprises. Endorsed apps are meant to deliver value with desired outcomes. “In the current economic climate, businesses are increasingly evaluating pricing software as a way to increase revenue and drive profit,” said Joe Golemba, Vice President, Ecosystem and Partners of Pricefx.
Article | May 3, 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.
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:
Google Cloud Machine Learning Engine
Amazon ML platform services
INTEL Nervana Platform
Salesforce Einstein suite
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"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."
"name": "Which are the Best Cloud Platforms for AI?",
"text": "Some of the best cloud platforms for AI are as follows:
Google Cloud Machine Learning Engine
Amazon ML platform services
INTEL Nervana Platform
Salesforce Einstein suite"
Article | May 3, 2020
We are currently in an era of cloud computing, where the infrastructure, hosting, machine learning and compute power of cloud providers deliver hosted access to a wide range of centralized services to process and manage our data.With edge computing, the processing and management of data happens closer to the actual source of the data, instead of the data first having to be sent to the cloud to be processed. A typical example would be for IoT devices to collect and transfer data to a local device that includes small-scale compute, storage and network connectivity for local processing of the data at the edge before being passed to the cloud.
Article | May 3, 2020
Modern organizations need fast-paced solutions to scale their services and integrate their applications for a digital foothold, resulting in a demand to shift their ecosystem from on-premise to a cloud environment. Therefore, selecting the exemplary cloud architecture based on the organizational ecosystem is the need of the hour; otherwise, it may directly impact their business growth. Hence, companies are interested in opting for a hybrid cloud solution that will allow gradual migration of their workloads without affecting the daily operations, providing enhanced security by allowing segregation of the critical and general workloads to private and public clouds, respectively.
Many businesses across the globe are raising concerns on whether to adopt a public, private or hybrid cloud platform. According to Gartner, over 75% of midsize and large organizations will adopt a hybrid or multi-cloud strategy by 2021. Today, organizations realize that a hybrid platform is a good-to-go solution after managing IT resources and workloads in public and private cloud environments.
The hybrid cloud definition says that it is a combination of storage, computing, and services environments of an on-premise, private and public cloud. It creates a single platform to operate both in on-premises, private resources, and public cloud resources, such as those offered by Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). It allows seamless sharing of data and applications when computing and processing requests vary within the organization. A hybrid ecosystem establishes interconnectivity initially through data virtualization, following via connection tools and protocols such as application programming interfaces (APIs), virtual private networks (VPNs), and/or wide area networks (WANs). The goal is to create a collaborative, automated, secured, and organized environment, where integrating these applications among one another and with on-premises systems is easy and fast.
How is Hybrid Platform Different from Others?
Deployment of a hybrid infrastructure describes the organization's ecosystem where on-premise, public, and private cloud environment conglomerate to provide a secure and unified platform. Hybrid cloud platforms allow you to leverage the utilities of the private and public cloud ecosystem.
The private cloud is an infrastructure that can isolate all your vital business data of an organization behind firewalls on a single server, which are non-sharable and thus is a perfect fit for businesses dealing with confidential and sensitive information.Whereas public cloud platforms are shared spaces that offer massive amounts of storage capacity and other resources, they are highly scalable. In addition, due to the shared architecture, public clouds are affordable and allow organizations to control the security and backups provided by the server's data center.
Hybrid platforms are secured, scalable, and cost-effective, allowing you to have a flexible option to separate the workloads and benefit private and public cloud platforms.
Benefits of Hybrid Cloud
According to the Mordor Intelligence research report, Hybrid Cloud Market was valued at USD 52.16 billion in 2020 and projects to record USD 145 billion by 2026, at a CAGR of 18.73% for the forecast period 2021 to 2026. The vital factors such as flexibility, reliability, scalability, cost-effectiveness, security, and rapidity drive its progress.
Flexibility and Reliability
One of the prime benefits of a hybrid environment is its flexibility. A typical hybrid cloud solutions flexibility refers to the service that enables you to utilize the ecosystem as per their needs. Hybrid cloud architecture can use traditional on-premise systems and the latest cloud technology, with/without registering to a third-party host. Organizations with hybrid infrastructure can migrate workloads and access information to and from their traditional systems and to the public/private cloud whenever necessary, without any service interruption.
As we know, a hybrid cloud infrastructure allows us to utilize both a public cloud and a private cloud. It permits more resources via the public cloud services that enable the organizations to expand their storage capacity and computing resources. Thus, workload migration to a hybrid ecosystem makes it easier to facilitate, implement and scale the resources whenever demand exceeds the ability of the on-premise infrastructure.
Typically comprised of private cloud and public cloud architectures, hybrid cloud management allows you to own and operate the data center infrastructure with a significant capital expense. On the other hand, it also enables the public cloud infrastructure to offer resources and services accountable as variable and operational expenses. Thus, hybrid cloud users can select any infrastructures that make it affordable to run the workloads. Moreover, it can accommodate the business demand upsurge and increase its capacity without additional cost. As cost-saving is one of the prime aims of organizations, a hybrid infrastructure leverages a cost-effective approach with no compromise on your ecosystem's scalability, flexibility, security, and agility. According to a study by IT management solution provider Flexera, 76 % of organizations use cost efficiency and savings to measure cloud progress.
Securing business-critical information is always a challenge in any network-enabled ecosystem. Typically for a public cloud, susceptibility to data breaches and data leakages are common. While cloud service providers make exhaustive efforts to ensure data protection for their clients, yet public cloud infrastructure remains at high risk because of its open environment framework. Whereas, for the private cloud ecosystem, companies hold direct control over the stored data. They can manage and establish strict protocols for accesses because the data stored in the private ecosystem are generally highly critical and confidential. However, with a hybrid service, companies can leverage the security of a private cloud with the flexibility and benefits of a public cloud. You can migrate the business-critical data from the private ecosystem to a public cloud for different operations, analytics, and applications. You can also implement extensive encoding methods to ensure data security as much as possible. Hence, Hybrid cloud security is simply protecting the data, applications, and infrastructure that incorporates a certain degree of workload sharing, consistency, and management across multiple cloud environments.
Speed/Rapidity is one of the noteworthy attributes of network-enabled applications. Although a hybrid platform is not fundamentally quicker than a public cloud platform, it allows network optimization to curtail latency and simplify data migration. In addition, hybrid cloud storage transfers non-critical workloads to the public cloud and critical workload on the private cloud and optimizes the network to streamline the traffic. As a result, you can work faster and increase their productivity.
Few Setbacks to Keep in Mind
Despite several benefits, you should consider some of the hybrid cloud challenges before workload migration. Flexera's 2020 State of the Cloud Report says that the complexity and dynamic nature, the hybrid/multi-cloud environment brings many challenges, such as assessing the suitability of on-premises apps for migrating to the cloud. However, analyzing and noting the limitations can make it easy for organizations to utilize their hybrid ecosystem optimally.
Latency and Compatibility
As we know that a hybrid cloud strategy is derived by combining private and public cloud platforms, there can be compatibility issues between them because of their distinct properties. Moreover, analyzing the compatibility of the on-premise applications before migrating to the cloud requires a lot of effort and bandwidth. For example, the private cloud component of a hybrid application cannot respond as fast as the front-end public cloud component and can cause operational latency and other complexities.
Temporary Risk Due to Data Transfers
Data transfers across a hybrid cloud platform can involve third-party (public cloud host) for many organizations, resulting in unnecessary and unacceptable security risks. In addition, data leakages are also a common concern while shifting the on-premise applications to the cloud infrastructure. Therefore, organizations must consider encryption of all traffic to protect the network and avoid temporary security risks for the data in transit.
Using Identity and Access Management (IAM) protocols steadily across private and public clouds requires a highly synchronized effort to meet security and compliance requirements. It is also an essential protocol to ensure no gaps are present in the hybrid cloud design. However, organizations dealing with confidential data, such as the healthcare or finance industries, may face few compliance setbacks. In addition, knowing the actual position of the data and who has access can be a real challenge in a hybrid environment. Hence, organizations need to adopt single sign-on applications and allocate authorizations only when critical and necessary.
Initial Implementation Cost
The on-premise or private cloud component requires substantial investment, maintenance, and operational skills for traditional hybrid cloud architecture. Thus, implementing additional software, though necessary, can further add to the initial cost for a private cloud. At the same time, proper data planning, security tools, employee training, and cloud certifications can boost the initial investment for the public cloud.
Is Hybrid Cloud Environment A Right Choice for Your Business?
Advanced companies align their business transformation strategy with the orchestration of their cloud platforms to achieve a 'GenX' business model. This model establishes an automated and agile organization, empowered by data, directed by AI insights. IBM's Voice of the Enterprise Digital Pulse report by 451 Research says that 3 out of 5 of approximately 1,000 organizations surveyed have implemented a hybrid ecosystem with integrated on-and off-premises cloud services.
Here are some hybrid cloud use cases to help you analyze whether a hybrid infrastructure fits your organizational ecosystem.
Hybrid cloud is particularly effective for dynamic workloads. For example, a trading company entry system that experiences significant demand surges is ideal for implementing hybrid cloud infrastructure. Using an easily scalable public cloud for your dynamic workloads while leaving more sensitive workloads to a private cloud or on-premises data center helps to increase your operational efficiency without hampering the security of your critical data.
Segregation of Critical and Non-Critical Workloads
When your company leverages several SaaS applications, it requires identifying and segregating their workloads to perform while keeping the data security aspect high priority optimally. In comparison, hybrid cloud storage diversification allows moving business-critical workloads to the private cloud with access control mechanisms for security. You can shift the non-critical applications to a public environment and utilize them for business analytics. Under a hybrid ecosystem, both these platforms share information under the same data management yet remain distinct.
Periodical Migration to Cloud Environment
Suppose you are planning to upgrade your operational infrastructure but not sure about its operability. In that case, you can migrate a portion of your critical workload to the private cloud and general applications to the public environment of the hybrid cloud platform and analyze the performance. You can continue expanding your cloud presence as needed by periodical migration of the workload, utilizing the hybrid structure. It enables you to assess the platform in terms of your current requirements and potential future growth.
Big Data Management
Hence, opting for a more brilliant choice by implementing a hybrid cloud strategy will allow you to run a portion of the big data analytics using a highly scalable public cloud platform. Furthermore, you can ensure data security and retain your confidential big data behind the firewall while using the private cloud.
A hybrid cloud allows you to assign public cloud resources for short-term projects at a much lower cost than the on-premise data center. Thus, you can maintain efficient investment by controlling over-expenditures on the equipment that you may require temporarily.
Additionally, utilizing a hybrid environment to supplement your on-premise infrastructure is a better choice for projects that require multi-user collaboration or significant data storage and may hinder your current network performance or surpass your network capacity.
Multiple Business Requirements
Assume your organization needs to fulfill several business requirements. You can cater to some of your critical business needs by only a private cloud and other essentials through a public cloud. Under such circumstances, the hybrid solution is perfect for you. Hybrid cloud services help in many ways to provide benefits of both solutions for a business.
A well-integrated and balanced hybrid approach gives your business the best of both worlds. It allows you to leverage public cloud and private cloud services without completely offloading your data to a third-party data center. Hybrid Cloud Computing can be an ideal solution for your high-focussed businesses.
With the extensive features and benefits of the hybrid ecosystem, your organization will be able to take a step ahead to the world of modern technology and get to see the advantage of combining the security and control of private infrastructure with the scalability and versatility of public cloud computing.
How do hybrid clouds work?
The hybrid cloud creates a single platform for the on-premise, private, and public cloud data, allowing gradual migration of the workloads without disturbing the daily transactions by establishing interconnectivity between different platforms. In addition, the hybrid cloud provides the security of the private ecosystem and the flexibility of the public infrastructure.
Are hybrid clouds secure?
Hybrid clouds allow the migration of sensitive workload to its private infrastructure that you can protect behind the company's firewall. Thus, you can secure all the confidential data within the hybrid cloud infrastructure. In addition, you can shift the remaining non-critical workloads to the public portion of the hybrid cloud ecosystem, which you can utilize for several computational purposes.
Why hybrid cloud?
Hybrid cloud provides the security of the private environment and the scalability and flexibility of the private environment, which makes it one of the most preferred infrastructures for several organizations.
What is hybrid cloud storage?
Hybrid cloud storage is a method to manage cloud storage that uses both local and off-site data. With hybrid cloud storage, businesses can shift their workloads between on-premises or private clouds. In addition, hybrid clouds help organizations to get the most out of containers, which simplifies shifting workloads among clouds.
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"text": "The hybrid cloud creates a single platform to operate for the on-premise, private and public cloud data. It allows gradual migration of the workloads without disturbing the daily transactions by establishing interconnectivity between different platforms. It provides the security of the private ecosystem and the flexibility of the public infrastructure."
"name": "Are hybrid clouds secure?",
"text": "Hybrid clouds allow the migration of sensitive workload to its private infrastructure that can be protected behind the company’s firewall. Thus, all the confidential data can be kept secured within the hybrid cloud infrastructure. The remaining noncritical workloads can be shifted to the public portion of the hybrid cloud ecosystem, which can be utilized for several computational purposes."
"name": "Why hybrid cloud?",
"text": "Hybrid cloud provides the security of the private environment and the scalability and flexibility of the private environment, which makes it one of the most preferred infrastructures for several organizations."
"name": "What is hybrid cloud storage?",
"text": "Hybrid cloud storage is a method to manage cloud storage that uses both local and off-site data. With hybrid cloud storage, businesses can shift their workloads between on-premises or private clouds. Hybrid clouds help organizations to get the most out of containers, which simplify shifting workloads among clouds."