Category Archives: Cloud Computing

1. Amazon is investing another $7.8B in Ohio-based cloud computing operations, state leaders say  The Associated Press
2. Amazon To Spend $8B Building Data Centers In Ohio  Bisnow
3. AWS to expand Ohio bit barns to the tune of $7.8B  The Register

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Amazon is investing another $7.8B in Ohio-based cloud computing operations, state leaders say - The Associated Press

Every tech giant seems to have a cloud platform. Still, if you asked someone what the Google Cloud was, they would probably have no idea. The Google Cloud Platform (GCP) isn't a collection of Google's most popular apps and software. They call that Google Workspace, which used to be G Suite.

Google Workspace includes things like Google Docs, Google Sheets, and Google Drive cloud storage. Google Cloud Platform is a suite of cloud computing services that run on the same infrastructure that Google uses for its end-user products. Unlike Google Workspace, which primarily caters to individual productivity and collaboration for everyday use, GCP provides tools and services that allow developers and enterprises to build, deploy, and scale applications, websites, and online services using Google's robust and reliable infrastructure.

Google Cloud Platform includes services for serverless and scalable computing, offsite cloud-based data storage, data analytics, machine learning, networking, the Internet of Things (IoT), security tools, and developer tools. These services are highly flexible, can grow as a company grows, and are designed to meet the needs of small-scale developers, all the way up to big data giants running queries against data sets in the terabytes.

While Google Workspace focuses on providing productivity tools for users, Google Cloud Platform is a comprehensive platform offering a ton of services, cloud resources, and the cloud infrastructure needed for DevOps teams. A handful of competitors offer public cloud services at this scale, and you'll recognize many of them. Some of GCP's largest competitors are Amazon Web Services (AWS), Microsoft Azure, and IBM's cloud platform.

Amazon beat Google to the market with its cloud computing service in 2006. Google launched a preview release of App Engine in 2008, a tool that lets customers run their web applications on Google's infrastructure. At first, it was released to a limited number of developers. It didn't see its full release until 2011.

Since then, Google Cloud Platform has developed or acquired numerous services and products that allow companies to use all facets of its vast infrastructure resources. Google Cloud Platform quickly became one of the top international cloud vendors, alongside other cloud providers like Amazon, Microsoft, and IBM.

Have you ever wondered how companies can offer their services and online products on such a huge scale? It's because most of them are built on cloud services like Google's. Some of Google Cloud Platform's most well-known customers include Snapchat, Spotify, Twitter, PayPal, Nintendo, and eBay.

Google Cloud Platform offers several "engines" or frameworks designed for computing, hosting, and application development needs. It has many useful APIs that use machine learning and its AI platform to develop AI models. It also has services for database work and can handle large datasets.

This is a short list of what's available through Google Cloud Platform. GCP also has Google Cloud Storage, Cloud Pub/Sub, Cloud Dataflow, Cloud Dataproc, Cloud Functions, Cloud Run, Cloud Spanner, Cloud Load Balancing, and a web-based GUI called Cloud Console to manage it all. The Google Cloud Platform is huge, and this is not a complete list.

GCP includes many managed services, meaning that Google takes care of the underlying infrastructure, maintenance, and operational tasks needed to run the service and the hardware that the service uses. If you've ever run a small home server on a Synology DiskStation NAS, you probably know how much can go wrong with server hardware. This allows customers to focus on developing and running things rather than managing the infrastructure. It also means that a company can take advantage of automatic scaling that adjusts resources based on their workload demand as their business grows.

With so many large companies moving their analytics, data processing, and machine learning workloads offsite and into cloud vendors like Google Cloud Platform, securing this data has become a top priority. GCP offers tools for monitoring, logging, and diagnosing security performance.

Google Cloud Platform doesn't only offer the tools and services that allow companies to use its infrastructure. It also provides security and management tools that protect everything a company puts on its platform.

Google Cloud Platform and Google Cloud may sound like the same thing, but they are very different. Google Cloud is a set of user-end tools and services, like Google Drive and Google Workspace. On the other hand, GCP is the backbone of many large-scale digital platforms, including Google Cloud. It may seem like a lot with all it has to offer, but there are plenty of tutorials and a flexible pricing model for smaller-scale uses.

To put it simply, Google Cloud Platform is Google's suite of cloud computing services that enable developers and businesses of all sizes to build, launch, and manage their applications and online services. Some of the biggest companies in the world use GCP to access Google's powerful infrastructure, the same infrastructure that Google uses for its services and products. GCP provides computational engines, an AI platform, machine learning APIs, a stable and reliable DNS service, and database services that can handle any size and type of dataset.

Google Cloud Platform offers all the security and management tools needed to safeguard a company's data and the sensitive user data they may have collected. Its set of security and monitoring tools helps companies automate many security tasks, monitor system performance, and manage access privileges.

The Google Cloud Platform is more than Google's version of a cloud computing suite. It's a comprehensive ecosystem of reliable and powerful services, from advanced computing capabilities to strong and dependable security measures.

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Google Cloud Platform: Everything you need to know about Google's suite of cloud computing services - Android Police

Amazon is investing another $7.8B in Ohio-based cloud computing operations, state leaders say

COLUMBUS, Ohio (AP) Amazons profitable cloud business will invest roughly $7.8 billion by the end of 2029 to expand its data center operations in central Ohio, state leaders announced Monday, further advancing the states efforts to establish itself as the Midwests technology hub.

The new investments by Amazon Web Services, or AWS, were announced by Republican Gov. Mike DeWine and Lt. Gov. Jon Husted, who leads the governors technology office. The financial outlay further cements Ohio as the heart of our nations technology and innovation, the governor said in a statement.

AWS launched its first data centers in the region in 2016 and currently operates campuses in two counties in central Ohio, home to the capital city of Columbus. The administration said numerous locations are being considered as sites for the new data centers, in a selection to be announced later this year.

The cloud computing company is now responsible for the second largest private sector investment in the states history, behind only the $20 billion chip plant announced by Intel last year. Facebook and Google also operate Ohio data centers.

Also underway in the region are a $3.5 billion battery plant being built by Honda and LG Energy Solution of South Korea and a new $110 million Center for Software Innovation at Ohio State University. A chemical research clearinghouse headquartered in Columbus has long been a leader in big data storage and processing.

Once a reliable cash cow for Amazon, AWS has recently begun to feel pressure, as companies trim cloud computing expenses in the face of high inflation and fears of a recession. The tech giants first quarter earnings report showed its cloud unit generated $21.4 billion and was growing at 16% in the first three months of this year, down from the 37% growth rate a year earlier.

Still, Roger Wehner, economic development director for AWS, said the company has a long-term commitment to Ohio, having invested more than $6 billion in the state since 2015. He said Mondays investment will include new workforce development and educational programs that support the next generation of talent by emphasizing collaborative, long-term public and private partnerships across the state.

The new AWS data centers will contain computer servers, data storage drives, networking equipment and other technology infrastructure for cloud computing. As of last year, the existing operation employed roughly 1,000 people across the state. JP Nauseef, president and CEO of JobsOhio, the states privatized economic development office, said the newest investment will create 230 direct new jobs and an estimated 1,000 support jobs.

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Amazon is investing another $7.8B in Ohio-based cloud computing ... - Wilmington News Journal, OH

Storing and organizing data and spreading information within organizations are crucial functions of many industries. Modern technology brought advancements such as cloud computing services, making it possible for various sectors to store, secure, back up, and disseminate information efficiently.

Today, cloud computing is available and suitable for other industries to fulfill various missions and operations. Here is a rundown of the executives who were key playersin no particular orderin the cloud computing industry in 2023.

Greg Bateman has been the Regional Vice President of Defense at Salesforce since March 2022. He is responsible for the companys business with the US Department of Defenses (DOD) 4th Estate, the division that covers organizations outside the military and intelligence community agencies.

Bateman also takes charge of establishing trust with customers that rely on Salesforces cloud computing services. Proof of this commitment is Salesforce IL4 for the DoD. IL4 is a designation that covers controlled unclassified information (CUI), non-CUI, export-controlled data, personally identifiable information (PII), non-national security systems, and other mission-critical information.

Bateman brings nearly ten years of professional experience in cloud computing services to Salesforce. Previously, he has engineered new cloud reseller programs, established cloud-focused systems to bolster business growth, and led federal agencies to adopt cloud platforms effectively.

Lillian Chang is the Senior Vice President of Product Strategy at SAP National Security Services (NS2). Since 2021, Chang has been responsible for the companys cloud portfolio and partnership relations. She also manages SAP NS2s physical cloud environment, including its software and hardware services to bolster cost optimization.

Chang has 10 years of experience working on cloud computing solutions at SAP NS2. Prior to her current role, Chang served as GTM Director and GTM Vice President of NS2 Cloud. She leverages her past experience to engineer cloud platforms and cloud-based solutions that meet critical infrastructure industry requirements.

On March 22, 2023, the Federal Risk and Authorization Management Program (FedRamp) granted certification for SAP NS2s cloud-based enterprise resource planning program. Under Changs leadership, this program enables federal clients to deploy the cloud platform as a software-as-a-service application within SAP NS2s Cloud Intelligent Enterprise.

Steve Derr has been the Vice President of Oracle Corporations Cloud Operations & Engineering division since 2017. In his current role, Derr leads teams specializing in cloud operations and engineering services to cater to the demands of National Security clients.

At Oracle, Derr accumulates over ten years of experience working on cloud computing and hardware solutions for federal intelligence agencies. He led teams and developed the know-how to utilize Oracles storage solutions, high-performance computing, and Engineered Systems to deploy mission-critical capabilities for different segments of the federal government.

Kathleen Flynn is the Vice President of Cross-Cutting Capabilities at Capgemini Government Solutions, a subsidiary of Capgemini SE. Flynn has been vice president since 2015 and oversees the distribution of all capabilities for the companys portfolio of client partners.

Flynn focuses on defining practical applications and accessing Capgeminis resources for intelligence, cloud migration, and portfolio rationalization on behalf of the companys clients.

Toby Haertl has been part of CyrusOne since 2017 and is currently the companys Enterprise and Federal Segments Global Business Development Manager.

Haertl possesses ten years of professional experience in cloud computing services and draws from his previous work to innovate cloud-based applications. He leveraged his expertise in CyrusOnes cloud computing services as the National Channel Manager of Solution Providers. He specialized in delivering advanced data centers to support clients managed services and cloud infrastructure businesses and forge strategic and stronger client relationships.

Brian Keith is the General Manager, Azure Data and AI Leader, and National Intelligence Specialist at Microsoft Federal, the missions-focused arm of Microsoft Corporation.

Keith is focused on integrating data and artificial intelligence into federal and business organizations and workflows through agile data, AI solutions, and cloud strategies. With decades of developing solutions for the federal government, Keith is an expert in deploying AI and intelligence strategies to support critical missions.

Michael Mike Miller is Vice President of Enterprise Sales and the North America Public Sector of Red Hat. He has 25 years of experience in cybersecurity, analytics, data protection, DevOps, and code-free developments.

At Red Hat, Miller leads teams with innovative members that deliver cloud-based solutions, high-performing Linux applications, container, and Kubernetes technologies to help solve complicated problems in different domains.

Drew Schnabel is the Vice President of Federal at Zscaler. Schnabel has years of experience developing software and information systems that support different missions and projects for the US government. His expertise includes service delivery, enterprise software, enterprise architecture, SaaS, and storage area network (SAN).

Schnabel is committed to ensuring that Zscalers zero-trust cloud security platforms are accessible to federal clients, regardless of device, network, or location. In 2021, Schnabel was involved in developing the Secure Cloud Management (SCM) prototype for the Department of Defense.

Kaus Phaltankar co-founded Caveonix in 2017 and is the companys current President and Chief Executive Officer. He has a 25-year professional background in cybersecurity and enterprise managementdomains he integrated with the cloud computing system of Caveonix.

In a panel discussion on cloud security in 2018, Phaltankar offered insight into businesses growing demand for control and visibility among hybrid cloud environments to support employees, resources, business partners, and crucial IT assets. The panel and Phaltankars expertise resulted in the development of Caveonix Cloud, the first-of-its-kind cloud digital risk platform designed for hybrid clouds.

Brad Scyrkels is the Vice President of the Public Sector and General Manager of Cyxtera Federal Group. He was chosen for these roles in 2021 and is in charge of the sales, marketing, channels, infosec, and GRC efforts of Cyxteras Public Sector.

Scyrkels leads a team of cloud experts that work on FedRamp, Cyxteras hybrid cloud security services for the federal government. They work on integrating the speed and scale of the cloud with the performance, accuracy, and cost benefits of data centers.

Brian Pickerall is the current Senior Vice President of Changeis, Inc. He has 25 years of professional experience in project management, large-scale software development, and transportation operations systems.

Pickerall is responsible for the companys initiatives, such as business development and business growth plans. He is also in charge of Changeis Enterprise Technology Solutions, which covers data analytics, hybrid cloud services, and domain expertise.

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11 Key Executives in the Cloud Computing Industry in 2023 - Executive Gov

Multi-cloud environments are fast becoming a standard component of the enterprise IT ecosystem. There remains a reasonable amount of uncertainty surrounding this type of cloud computing.

Even though multi-cloud offers businesses greater efficiency, elasticity, and scalability, it comes with drawbacks. And, like any other enterprise technology, it has its own pros and cons. So, let us dive right into the myths you have probably heard about multi-cloud computing and why they couldnt be more wrong!

Fact: While they are both heterogeneous environments, multi and hybrid clouds have very different implications for IT.

While multi-cloud and hybrid cloud are similar, there are some major differences. These can impact their design and operation.

It primarily utilizes clouds from various providers, like AWS for front-end applications and Azure for Exchange Servers. Hybrid cloud integrates private cloud systems with a number of public clouds, enabling them to operate as one entity.

The type of cloud architecture you implement will be dependent on the apps you run or support and your larger business goals.

Fact: There will always be a degree of lock-in with any public cloud.

In order to clarify this misconception, lets first define what vendor lock-in means. In cloud computing, vendor lock-in happens when moving to an alternative cloud platform provider is prohibitively expensive. It ultimately ends in the consumer being essentially bound by the vendor.

The general idea is, that when youre using multiple cloud platforms, vendor lock-in doesnt happen. But this is not the case.

If youre using the native APIs of a cloud service provider, you are effectively locked in. Important cloud services, like security, governance, or storage, that are consumed via one cloud provider arent transferable to other cloud service providers unless they are modified to become interoperable.

Fact: Cloud costs depend on how it is managed, not the number of providers you choose.

Multi-clouds arent more likely than other cloud services to exceed the budget. It all depends on how you deal with them. With fundamental guidelines in place, which include monitoring, provisioning, and preserving data in the right storage layer, organizations will find it simple to keep multi-cloud costs in check.

Fact: Configuring security in multi-cloud environments takes largely the same effort and skills as a single cloud.

Like administration in general, security in the multi-cloud is only harder if it isnt executed correctly.

A software-defined wide area network (SD-WAN) that has an incorporated security layer is a must for cloud security. Consequently, the cloud, in its entirety, is placed beneath a single architecture that permits the expansion of safeguards and monitoring capacities at any point.

Obviously, there is nothing intrinsic to multi-cloud architecture, making it more secure than other architectures. Several service frameworks, data access, or controls will have to be dealt with (particularly during migration).

If you neglect conformity across multiple architectures as well as geographic regions, multi-cloud may not be secure. But the same applies to single cloud environments as well.

Fact: Containerization alone is not enough for multi-cloud migration; additional efforts are involved.

Its true that containers supply applications with mobile, standardized models. However, cloud-native applications are operationally quite complex.

A containerized workload requires additional modifications before it may be considered cloud-native. Among these changes are the adoption of container-specific OSes, the channeling of traffic, and the automated management of construction or operational settings. You will incur exorbitant costs if you migrate monolithic applications from virtualized machines to the cloud without any intermediate steps.

Fact: It turns out to be more cost-effective in the long term, but you will have to wait to unlock full value.

Cloud computing is a cost-effective solution, and this is among its greatest advantages. Yet, the notion that multi-cloud solutions are always more cost-effective than single-cloud solutions isnt entirely accurate.

Multi-cloud strategies demand heterogeneity, which requires an array of skills for effective execution. Consequently, there is a mix of financial and non-financial risk, as quite a bit of architectural complexity is involved. Nevertheless, businesses continue to favor multi-cloud because of its increased agility, which enables them to use top-of-the-line cloud offerings and push the pedal on innovation.

In terms of direct costs, multicloud is undoubtedly more costly to construct, set up, and run than a single cloud. Multiple platforms, however, offer optimal solutions for a broad range of enterprise-level challenges.

Fact: Headline-grabbing cloud deals aside, most enterprises use two or more cloud platforms and vendors are embracing this as well.

It may appear that most businesses decide between AWS, Microsoft Azure, or Google Cloud Platform without thinking about other options.

However, many businesses, especially those that have been investing in tech solutions for a long time, want a broader selection of service providers. These organizations use hybrid and multi-cloud solutions to maximize the available assets while minimizing dependence on a single vendor.

Even Google acknowledges the importance of an open cloud in fostering creativity, versatility, and adaptability. Google is expanding its open-source ecosystem so as to ease the incorporation of multiple clouds. BigQuery, for example, facilitates the incorporation of data from multiple sources and supports data analytics in a centralized location.

Fact: Perfect interoperability is almost impossible to achieve in any heterogeneous cloud environment, including multi-cloud.

The commonly held belief is that multi-cloud deployments appear and can be managed as a singular conceptual entity. The fact is that clouds work as platforms, and despite standardization, they will continue to vary similar to SQL databases.

It is ultimately a means for businesses to diversify. In the vast majority of cases, multi-cloud will not involve the operation of distributed databases or apps over two or more clouds. Instead, the multi-cloud strategy emphasizes cloud choice flexibility whats running, where.

Fact: Most businesses rely on different cloud environments already, and it is a good idea to prepare early.

Now, its possible that large organizations have a greater demand for multi-cloud architectures. However, small businesses keep using an array of specialized apps that are improved by the use of multiple clouds. To get the most out of these tools, its best to start with a scaled-out environment.

Using SaaS platforms like Salesforce, Power BI, Tableau, etc., or a managed security service, small enterprises may take advantage of multi-cloud computing.

Fact: It is useful for resiliency only if you use a different cloud for backup or to host your desktop virtualization images.

The fallacy is that businesses can dynamically transfer apps and information between databases if they employ more than one cloud provider. Therefore, they cannot be knocked out by just one outage. Using the multi-cloud strategy for disaster recovery can cost twice as much as using a single cloud for just one app.

This is because workloads cannot move between clouds in real time during an emergency, and you will need to have two instances of the same application running simultaneously on two clouds adding to the costs.

For resiliency purposes, it is better to have redundant locations in place and invest to minimize internal network outages, given that public cloud outages are infrequent.

Today, the likelihood of ending up with a multi-cloud environment (whether you plan for it or not) is very high. You may choose to connect supply chain IoT sensors on AWS, train machine learning models on Google, and use Azure for workspace collaboration. But do go into the investment with eyes wide open and first learn all there is to know about cloud computing to make the best decision for your business.

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10 Multi-Cloud Myths Debunked: Exposing the Facts - TechFunnel

In its usual innovative fashion, MTN Nigeria has partnered with the technology giant, Microsoft, to bring transformative cloud technology to Nigerian organisations through products that will digitise their business operations.

Cloud computing enables organisations to use digital resources stored in virtual spaces through networks often satellite networks. It allows people to share information and applications without the restriction posed by location.

Speaking about this partnership and how it will usher transformative solutions for orgranisations and how they store and use data, Chief Enterprise Business Officer, MTN Nigeria, Lynda Saint-Nwafor, said, Cloud has become the backbone of modern business operations revolutionising the way we store, process and analyse data, the way we collaborate across teams and the way we deliver value to customers. Our extensive network infrastructure as MTN, combined with Microsofts cutting-edge technologies, will provide a robust foundation for businesses digital acceleration needs and initiatives.

Cloud computing is essential for businesses to thrive in this rapidly changing world.

While adopting cloud computing, companies might encounter challenges like skill shortages and lack of planning, existing data centre infrastructure limitations, and concerns about vendor lock-in, data sovereignty, and security.

Country Manager, Microsoft Nigeria and Ghana, Ola Williams, said, When discussing technologies that enable a transformational shift, one of the key things to discuss is the cloud, which provides a flexible and agile way for organisations to embrace technology. Businesses need to be deliberate about how they incorporate cloud computing into their operations, and that is why it is always very beneficial when it is taken as a journey with the right partners.

When choosing a cloud computing service provider, there are things to prioritise.

MTN Nigeria has carefully considered the setbacks and created a Centre of Excellence (CoE) staffed with certified professionals in all domains. Also, the organisation is leveraging the power partnerships by engaging with Microsoft, a world technology leader that can bring bear extensive experience and support.

Furthermore, MTN Nigeria has bundled connectivity solutions to integrate and enhance the cloud experience of Nigerian businesses seamlessly. It will leverage its strong local presence and round-the-clock support to ensure customers feel confident about handling their cloud computing needs.

MTN Nigeria remains committed to providing its customers with premium products and services that ensure they are empowered to compete internationally.

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How MTN and Microsoft will transform business operations with ... - TheCable

When you build software, storing, analyzing, and processing data can become challenging as your business scale. Fortunately, introducing cloud computing has helped enterprises and businesses tackle this scaling problem. Especially for IT infrastructure, cloud computing has been pivotal in empowering companies with remote capabilities.

Cloud computing offers internet computing services, allowing companies to access apps and databases remotely from any device. It reduces businesses reliance on the on premise IT infrastructure, which requires high investment and resources.

Further, cloud computing allows businesses to scale on demand and reduce costs by a pay-as-you-go model. Therefore, you do not need to pay for idle resources and spend only on what resources you use. Such benefits have encouraged businesses to invest heavily in cloud computing, boosting the market, which may reach $600 billion by the end of 2023.

However, is it just cost efficiency that is driving cloud-computing adoption?

Cloud computing provides many benefits beyond scalability and cost efficiency, making it a compelling investment for businesses. We will focus on the benefits of cloud computing and discuss how it is revolutionizing the IT infrastructure.

Cloud computing uses remote infrastructure hosted on the Internet to store, manage, and process data. It allows businesses to access data from any location and device using a secure network.

Some key characteristics of cloud computing are

The concept of cloud computing has come a long way since its inception. It presents new possibilities for businesses of every scale and sector. Some advantages of cloud computing are,

Cloud computing is transforming business operations in many ways, such as

Cloud services enable businesses to be flexible regarding resource allocation and data access. For example, an e-commerce business can leverage cloud services to cope with peak traffic during holiday sales. At the same time, cloud services allow these businesses to terminate instances and save costs if their load is lower.

It also allows companies remote data access, improving employees flexibility. Therefore, there are better collaborations, increased productivity, and ROI.

With cloud computing, you do not buy, install, and maintain expensive IT infrastructure. It offers a pricing structure where you pay only for instances you use. This leads to cost optimization and reduces any overhead expense.

Using cloud-computing services, you can optimize resource allocation and improve utilization. Cloud computing services provide access to a vast pool of resources, including higher processing power, storage, and memory. Most cloud services come with automated resource allocation features making it easy for businesses to manage resources.

Cloud computing enables accessible information sharing between employees, improving consistency and collaboration. Especially if specific employees in an organization are, working remotely and others are employed on-site, cloud computing enables remote access to data improving real-time collaborations and productivity.

Businesses can applications from any location with an internet connection thanks to cloud computing. This technology provides flexibility and improves security and reliability with backup, recovery, and encryption services.

For example, you can leverage cloud services and secure your data through encryption. Many certificate authorities offer SSL certificates to secure your data on the cloud like Comodo SSL, Sectigo SSL, GeoTrust SSL certificate. Therefore, you can install an SSL certificate to secure the communication between a cloud server and a web browser to prevent cyber-attacks while accessing information remotely.

Cloud computing is a transformative technology reshaping IT infrastructure for enterprises, small businesses, and startups. By adopting cloud computing, you can reduce costs, improve reliability, enhance security, simplify maintenance, and access cutting-edge technologies.

Cloud computing eliminates the need for buying and maintaining expensive IT infrastructure. Traditional on premise data centers require higher investments in hardware and software to manage resources. Cloud services reduce overhead expenditure through resource management features and a pay-as-you-go model.

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According to research, the difference between the costs of operation on cloud versus on premise infrastructure is almost 200%. Therefore, there is no denying that cloud-based infrastructure is cost-efficient compared to on premise infrastructure.

Cloud service providers often deploy their services across several data centers with copies of user data and apps. This redundancy enables faster disaster recovery for businesses and ensures that outage or failure does not affect user experience.

Cloud computing services have automatic failover systems that switch to backup if any primary system fails. Apart from the failover systems and backups, cloud devices also offer service-level agreements ensuring the high availability of resources.

Cloud services offer several security features, including support for encryptions, identity and data access management (IAM). For encryption, you can find SSL certificates at low price from online stores like CheapSSLShop and many others. Further, you can configure IAM and deploy role-based data access (RBAC) policies for enhanced security.

Cloud computing also ensures your systems are secure against key cybersecurity threats like DDOS, XSS, and MITM.

With cloud computing, you can easily access the latest versions of your favorite software and applications without the hassle of manual installations or updates. They take care of everything for you, so you always have the latest and safest software available. It saves you time! Therefore, you can focus on what you do the best, without worrying about the technical details.

Small and medium-sized enterprises (SMEs) can benefit from cloud computing with access to a high-level IT infrastructure without the hefty price tag.

Cloud computing allows SMEs to access sophisticated software and services which is otherwise too expensive for such companies. SMEs automate several business tasks using cloud-based tools and software, which include CRM, ERP, and more.

Similarly, SMEs can leverage cloud services to quickly scale their operations without spending a fortune on IT infrastructure.

SMEs often have limited budgets, so the economics of scale is essential for them. This is where cloud computing services help SMEs overcome budget constraints by providing access to advanced tools and resource optimizations.

Apart from the resource optimizations, the cost of operations is also lower because SMEs need to pay only for the cloud infrastructure and resources they use.

Cloud computing services offer access to advanced technologies inaccessible for SMEs on their budget. Especially innovations like artificial intelligence, the Internet of Things, and machine learning algorithms are not easy to access for SMEs.

However, cloud services have made it possible for SMEs to not only access such innovations but also integrate them into their existing systems.

Like every other technology, cloud computing has challenges and concerns. Right from concerns of security to vendor lock-ins and reliability issues, you need to consider multiple factors to overcome them.

Confidentiality of user data and privacy issues are common even in cloud-based applications. Businesses must comply with critical data protection regulations like General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), and others.

Therefore, choosing a cloud service provider needs security features and policies that help your business comply with critical data regulations. Cloud computing services must ensure user data is secure and no data leaks.

Many cloud computing services like AWS, GCP, and others come with several in-built features, which are operational only in specific environments.

Further, these tools and features may not be compatible with other third-party services, and this is where vendor lock-ins only tie businesses to specific services. Therefore, choosing cloud-computing services that offer higher interoperability with third-party services and tools is crucial.

Cloud computing services do ensure high availability, but they are not foolproof. For example, on June 13, 2023, AWS systems faced a massive failure due to issues in the subsystem responsible for capacity management for AWS Lambda.

Similarly, any cloud computing system can face failure, so it is crucial to ensure that you choose a service that offers SLAs for higher availability.

Impact of cloud computing has been massive on different industries and businesses across domains. Here are some of the essential examples of how companies use cloud computing.

SimScale is a simulation tool for engineers created by five co-founders who were students with a small budget. They launched it on Amazon Web Services and were the first simulation product. AWS helped them save money on hardware, personnel, and IT maintenance. Despite limited resources, technology can help people and businesses achieve their goals.

DriveTime, a used car and finance company in Tempe, Arizona, improved customer experience and reduced downtime by moving its legacy systems to Microsoft Azure. The cloud platforms services, including Azure SQL Database and Azure DevOps, helped cut infrastructure expenses by 50%, improve application performance by 40%, and enhance security and compliance measures.

Many industries have been adopting cloud-computing services, and the impact has been significant. For example, Minna Bank, Japans first fully cloud-based digital bank, uses the AWS cloud platform for services like EC2, S3, RDS, DynamoDB, Kinesis, and SageMaker.

AWS enabled Minna Bank to launch fast, adjust to demand, and offer advanced features like biometric authentication and voice banking.

Similarly, educational institutions and media companies are also using cloud-based infrastructure. For example, Sanoma, a European education and media company, adopted a multi-cloud approach integrating AWS and GCP to boost innovation and expansion.

Machine learning and artificial intelligence technologies improved efficiency, reliability, and performance.

Cloud computing eliminates the need for startups to invest high amounts of money in hardware and IT infrastructure. Startups can use cloud computing to launch their products faster and securely across platforms.

It also ensures that startups deliver enhanced user experience by providing higher availability of systems. One of the most famous examples of a startup using cloud computing successfully is Amperity.

A Seattle-based startup leverages artificial intelligence (AI), machine learning, and cloud computing to create comprehensive 360-degree customer profiles. Companies can use this data for their business operations to enhance sales and CRM.

Cloud computings future will emphasize edge computing, IoT integration, AI, and machine learning for better decision-making and automation. Hybrid and multi-cloud environments, serverless computing, and containerization will provide greater flexibility and scalability. Exciting times are ahead for cloud computings evolution.

Edge computing helps process data close to the source like IoT devices. This can reduce the latency of data transmission, improve real-time processing and enhance the entire experience of using IoT systems.

Advancements in edge computing architectures will enable IoT systems with advanced autonomous decision-making functionalities.

Cloud services provide higher computational power required for AI and ML deployments. With further advancements in cloud computing power, scaling AI-based applications and use cases will be easier.

A recent example is Open AIs ChatGPT, which uses Microsoft Azure services for its generative capabilities. Similarly, in the future, cloud-based infrastructure will be key for AI-based applications.

Hybrid cloud combines public and private cloud services to offer enhanced flexibility. In the future, businesses will use multiple cloud providers for better risk management. There will be tools to manage applications across different cloud environments, improving businesses scalability.

Multi-cloud environments will boost cloud computing use cases as it offers businesses an opportunity to leverage multiple features at the same time.

Serverless computing, also known as Function-as-a-Service (FaaS), allows organizations to write code without worrying about the underlying infrastructure. In the future, serverless architectures will empower companies to scale their offerings on-demand without spending more on infrastructure.

Containerization will continue to be a key trend in cloud computing. Containers are a lightweight and portable approach to package applications. It makes deployment and application management consistent across platforms. Containerization also offers process isolation, which makes error detection easier.

Cloud computing has become synonymous with flexibility, reduced costs, and higher processing capabilities. However, like any other technology, it has challenges and concerns you must consider before moving to the cloud.

However, there is no denying that future trends in cloud computing services, like the use of containers, IoT, AI, and ML, will dominate how businesses will operate. One aspect of cloud computing which is most significant is its customizations. You can customize it according to your project requirements and improve customer experience.

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The Power of Cloud Computing: Revolutionizing Business and IT ... - Tech Critter

Washington The Computer & Communications Industry Association has filed comments on cloud computing in response to a request from the Federal Trade Commission. Cloud computing has enabled interoperability for digital products and services and allowed customers to access information across multiple devices for lower costs. The demand for cloud computing services continues to grow and the cloud provides yet another way for customers to access artificial intelligence and machine learning.

In its filing, CCIA provides comments on the competitive dynamics of IT services and cloud computing, R&D investment, security and privacy considerations in cloud computing. It also notes, To analyze cloud computing and other IT services, it is essential to understand the scale of the potential benefits of cloud services to consumers, innovation, and the U.S. economy, and to distinguish between legitimate and unfair practices. It is fundamental to differentiate between justified and unjustified limitations to an open and interoperable IT services ecosystem.

CCIA has supported sound competition principles in the tech industry for more than 50 years.

Cloud computing is transforming numerous industries from healthcare to defense. We appreciate the opportunity to offer comments as antitrust authorities and regulators seek a greater understanding of the competitive dynamics and relevant competition, innovation, security, and data privacy considerations of cloud computing services as well as their interaction with other business models.

CCIA is an international, not-for-profit trade association representing a broad cross section of communications and technology firms. For more than 50 years, CCIA has promoted open markets, open systems, and open networks. CCIA members employ more than 1.6 million workers, invest more than $100 billion in research and development, and contribute trillions of dollars in productivity to the global economy. For more, please visit: https://ccianet.org.

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FTC Collecting Comments On Cloud Computing, CCIA Offers Input ... - Computer and Communications Industry Association

Insurance companies worldwide provide a range of coverage options, including health, property, life, auto, and business insurance. And despite collecting substantial premiums from customers each year, these companies remain exposed to various risks.

Insurance companies face risks due to several factors, including:

Swift climatic changes pose challenges for insurance providers in accurately assessing risks and determining premiums. Likewise, the continuous emergence of new technologies, such as autonomous vehicles and drones, can create policy gaps that even governments may struggle to address, thereby limiting the ability of insurance organizations to perform thorough risk assessments.

Consequently, it becomes crucial for insurance companies to carefully evaluate the risks associated with their subscribers and appropriately determine coverage and premiums accordingly.

Traditionally, insurance companies have relied on historical data and subjective expert judgments to perform risk assessments. However, this method is time-consuming, prone to errors, and limited in its applicability to certain geographical areas or sections of society, making accurate risk assessment difficult.

Customer experience is another challenge that insurance providers need to address. Due to technological developments and diversified customer expectations, customers must be provided personalized services and recommendations about insurance plans. Moreover, significant improvements are also needed in processing claims because the conventional paper-based settings in most insurance organizations make the processes slow. Therefore, insurance providers must embrace digital transformation to offer better and enhanced customer experience.

By combining artificial intelligence (AI) and cloud computing technologies, insurance providers can mitigate the challenges they face and transform the insurance landscape. AI and the cloud can be leveraged to handle the complexities of risk assessment and management tasks while enhancing the customer experience.

Insurance companies can utilize AI, machine learning, and cloud computing techniques to store, process, and analyze large volumes of data from diverse sources, enabling them to discover patterns and make data-driven decisions. This scalability and flexibility allow insurance providers to scale resources as needed, optimizing performance and cost efficiency.

AI can be utilized for risk assessment and underwriting processes, improving the accuracy and efficiency of the insurance industry. By leveraging AI-based techniques, insurers can enhance their ability to determine coverage terms, decide premiums, and assess risks.

AI systems have the capability to analyze vast amounts of data, including historical claims information, customer profiles, market trends, and external sources, in order to identify patterns and correlations.

This data-driven approach reduces the likelihood of human errors and enables insurance providers to make more informed decisions about risk assessments and premium calculations. Additionally, AI streamlines repetitive tasks such as data entry, processing, and verification, making them easier to manage and process.

AI enables the evaluation of risks through real-time data analysis and predictive modeling. It can analyze streaming data from various sources, including sensors, Internet of Things (IoT) devices, social networks, and weather data. This data analysis empowers AI predictive models to identify high-risk areas or policyholders, enabling insurance providers to take proactive measures.

For example, in the property insurance domain, AI can analyze geographical data and historical claims patterns to identify areas prone to disasters or with a higher risk of fire. Subsequently, insurance companies can make informed decisions regarding premiums and coverage based on these insights.

Insurance fraud poses a significant concern for insurance companies as it leads to substantial financial losses annually. However, AI techniques can play a crucial role in mitigating this issue. By utilizing AI, anomalies in claim patterns can be detected, allowing for the identification of suspicious claims.

Furthermore, natural language processing (NLP) techniques, including advanced large language models (LLM), have proven effective in understanding the context of claim descriptions.

Cloud computing, similar to its impact on other business domains, holds significant potential to revolutionize the insurance industry. It offers several benefits that we discuss below.

Cloud computing plays a crucial role in enabling insurance providers to evaluate risks effectively and enhance the customer experience, thanks to its inherent characteristics of scalability and flexibility. The cloud computing model allows insurance companies to scale their computing resources in response to fluctuating demands.

During times when insurance renewal and claim processing are at their peak, insurance companies can easily acquire additional computing resources.

With cloud computing, insurance providers are no longer required to establish expensive and complex computing infrastructure. Instead, they can reduce upfront costs by leveraging the services provided by cloud providers. This eliminates the need for extensive infrastructure development and maintenance.

Furthermore, the cloud enables insurance companies to quickly deploy new applications, services, and updates. This agility allows insurers to conduct effective testing and launch innovative initiatives in risk management, personalized customer experiences, and process automation.

Cloud computing offers insurance providers exceptional data processing capabilities, allowing them to efficiently process vast volumes of data in real time.Insurance companies can leverage the cloud to store and manage massive amounts of insurance data, including past claims data, customer information, market data, and more.

Cloud-based platforms facilitate effective collaboration among various stakeholders within the insurance ecosystem. By leveraging the cloud, insurance companies and other stakeholders can exchange information efficiently, leading to streamlined workflows and improved operational efficiency.

Cloud computing and AI together can offer the following benefits for insurance providers.

Cloud platforms play a crucial role in providing the necessary resources for training and deploying complex AI and machine learning models. Insurance companies can leverage cloud service providers to procure high-end resources and scale them up or down based on demand.Moreover, cloud storage and data lakes offered by cloud platforms enable insurance providers to securely store and access large volumes of data.

In addition, cloud platforms offer collaboration tools that facilitate teamwork and cooperation in AI model development. Cloud-based version control mechanisms effectively manage changes and updates to the AI models. This, in turn, promotes collaboration among team members and results in increased productivity.

Large insurance organizations have embraced the utilization of AI and cloud computing platforms to streamline their routine operations.

Lemonade, a five-star AI-driven insurance company, successfully sold all five of its products in the market in 2022. It automated various processes, such as registration and claims management, resulting in improved operational efficiency. The company used Chatbot AI Jim, which employs NLP to analyze large volumes of data, enhancing customer interactions and service delivery.This customer-centric approach helped attract more customers and contribute to the companys overall profitability.

Consequently, due to its satisfactory customer service, the organization attracts more customers and eventually increases its profits.

To ensure uninterrupted customer services and handle complex business operations, Lemonade relies on the robust infrastructure provided by Amazon Web Services (AWS).

Allstate is another example of an insurance organization that has undergone a remarkable customer experience transformation by leveraging Microsofts Azure AI platform. By employing AI-based virtual assistants, the company has revolutionized its claim-processing capabilities and can now provide personalized service recommendations to its customers.

Additionally, through the implementation of predictive analytics, the company has enhanced its risk assessment practices. As a result, Allstate has successfully improved its customer services while optimizing its operational efficiency.

In the same way, numerous other insurance companies, including Progressive, Liberty Mutual, State Farm, and Farmers Insurance, have embraced AI and cloud computing services to augment their risk assessment capabilities and elevate the overall customer experience.

These organizations employ AI techniques and cloud platforms to streamline claims processing, analyze vast volumes of data for accurate pricing and underwriting decisions, and optimize their operations.

Despite the potential of using AI and cloud technology to transform the entire landscape of the insurance industry, certain challenges and concerns should be addressed for widespread adoption by other insurance providers.

In conclusion, the integration of AI and cloud platforms holds tremendous potential for enhancing risk management and improving the customer experience in the insurance sector.

AI can help insurance companies assess risks, make decisions, and detect fraudulent activities timely. Similarly, due to its elasticity and flexibility, cloud computing enables insurance providers to store their data and scale up and down dynamically per the requirements.

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How AI and Cloud Computing Are Revolutionizing the Insurance ... - Techopedia

The final day of HPE Discover ended with a clear message of unification and innovation, primarily focusing on Hewlett Packard Enterprise Co.s GreenLake cloud platform.

SiliconANGLE Medias livestreaming studio theCUBEs industry analysts Dave Vellante(pictured, right) and Rob Strechay(left) presented a comprehensive final analysis of this weeks event, including an assessment of the significance of GreenLake in HPEs business model. While HPE boasts a strong server and compute business, GreenLake, powered by Aruba Central intellectual property, is currently the crown jewel of the companys portfolio.

HPE used the event to announce large language modelsas a service, a major offering under GreenLake.

HPE is using its supercomputer mojo [from] acquisitionsof Cray and SGI to really try to differentiate and move up the stack a little bit with a cloud-basedoffering, Vellante said.

During theCUBEs exclusive coverage of HPE Discover, Vellante and Strechay discussed how HPE aims to differentiate itself with its cloud-based offering and its emphasis on edge-centric, cloud-enabled, data-driven solutions. (* Disclosure below.)

HPE is simplifying its messaging and consolidating within GreenLake. The emphasis on services as a service, which are readily consumable rather than customizable, signifies a shift toward the cloud operating model. This move is an indication that HPE is adapting to a new era where consumers want an actual application, not just a blueprint, according to Strechay. LLMs as a service is not merely an infrastructure as a service; its designed to be a platform as a service, targeting specific use cases and workloads that require high-performance computing.

Theyre very strong in the knitting of infrastructure, the software they got from Cray and from the acquisitions of SGI, Strechay said. Theyre bringing that know-how of building all of these massive supercomputersthat theyve been building for governments and corporations for years to bear on this LLM space, which has been really key.

Sustainability was another significant theme during HPE Discover. HPE Chief ExecutiveAntonio Neri highlighted the companys efforts in working toward a true science-based net-zero posture. The companys sustainability commitments, unlike many companies greenwashing efforts, are science-certified, meaning theyre independently verified by a third-party scientific community.

One of the key moments of the event was when Neri shared the stage with Matt Wood from Amazon Web Services Inc. Wood, representing AWS viewpoint, said that in the fullness of time, all workloads will move to the cloud. In response, Neri reaffirmed his belief in the hybrid model, which is the core of HPEs strategy.

An intriguing development involved Equinix, with both Dell Technologies Inc. and HPE moving to prepopulate GreenLake inside Equinix. This strategy effectively reduces latency and eliminates the need for companies to build their own data centers and infrastructure, according to theCUBE analysts.

On the open-source front, HPE is doing significant business with Microsoft in the hybrid area. The Azure Stack from Microsoft has not been talked about much, but Azure Arc, its hybrid platform, has seen significant traction.

HPE has also been acquiring small software firms to support its cloud operating model, and according to Strechay, Its a very determined and specific way bringing back software that its really not trying to do everything and be generic software, but how do they support that cloud operating model.

Heres the complete video interview, part of SiliconANGLEs and theCUBEs coverage of HPE Discover:

(* Disclosure: This is an unsponsored editorial segment. However, theCUBE is a paid media partner for HPE Discover. HPE, Intel Corp. and other sponsors of theCUBEs event coverage have no editorial control over content on theCUBE or SiliconANGLE.)

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HPE Discover final analysis: Navigating the cloud computing ... - SiliconANGLE News