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NEW DELHI: Every industry wants to ensure faster innovations, flexible resources and an economical way of scaling up their business and the telecom industry is no different. Cloud computing, allows all of these and more using servers, storage, databases, networking, software, analysis and intelligence. It is the availability of all such resources and computing power without direct active management by the user. There is an increasing need for telecom services to evolve beyond network connectivity and offer distinctive services to their users. This is where cloud computing comes to good use in the industry.

Uses of cloud computing as applicable in the telecommunications industry as per IBM:

Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS): While Iaas delivers computing, network and storage resources to consumers on demand, PaaS provides a complete cloud platform including hardware, software and infrastructure for developing, running and managing applications. It is easy to use cloud computing services on pay-per-use schemes enabling companies to save costs on developing their own IT infrastructure for the same. Additionally, cloud is easily accessible and companies like Amazon Web Services (AWS), Google Cloud, IBM Cloud and Microsoft Azure offer IaaS services along with their cloud computing services.

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Test and Development: Performing testing and development in-house require an extensive budget which is an unnecessary expenditure given that cloud computing exists and can speed up this process of installation and configuration of development platforms while eliminating costs. With cloud-based development tools, creating apps and software has become faster, easier and more cost-effective.

Big Data Analytics: Cloud computing can also help companies to gain powerful insights that help optimize their businesses through big data analytics. Telcos deal with a massive amount of data collected each day. Cloud computing allows them to tap into vast amounts of both structured and unstructured data to extract business insights which can be further used to increase ARPU. Artificial intelligence and machine learning, two capabilities that are available due to cloud computing, make it easier for companies to monitor consumer behavior and suggest plans to increase revenue accordingly.

Cloud Storage: At the very basic level, cloud serves as a great medium of storage wherein data can be automatically saved. Organizations, rather than creating their own data centers for storage can pay for the amount of cloud storage they are consuming. This helps them stay away from the pains of maintaining storage infrastructure and makes speed, scalability and security of data an accessible reality.

Disaster Recovery and Data Backup: Disaster recovery solutions come at a much lower cost with cloud storage and cloud computing. Backing up data has always been time consuming and complex. Cloud-based backup makes this process relatively easier for companies. Organizations can easily dispatch data to different locations now without thinking of compromising on security, availability and capacity.

While there is enough incentive for companies to use cloud computing increasingly as it makes daily processes a lot more hassle free, there are also certain risks that it comes with, ranging from costs to cybersecurity. But these risks can be dealt with the help of trusted cloud service providers. The recent innovations with the use of cloud computing in the form of SingTels VAaaS and Jio and Microsoft Azures collaboration to develop cloud infrastructure and services are green signals in the favor of cloud computing in the telecom industry.

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Uses of cloud computing in telecom - ETTelecom

No, ChatGPT did not write this article. But generative AI has rightly garnered attention over the last few months for its potential to revolutionize industries.

Big tech companies have grounded their operational plans in AI. Microsoft stated that generative AI could add $40 billion to their top line. The generative AI market could drive an almost $7 trillion increase in global GDP. About 75% of companies expect to adopt AI technologies over the next five years. ChatGPT gained over 100 million users in its first two months, becoming the fastest-growing consumer application ever.

But the best AI models would be useless without one ingredient: data

Companies need troves of data to train AI models to find insights and value from previously untapped information. Since tomorrows AI tools will be able to derive yet-unimagined insights from yesterdays data, organizations should keep as much data as possible.

Chatbots as well as image and video AI generators will also create more data for companies to manage, as their inferences will need to be kept to inform future algorithms. By 2025, Gartner expects generative AI to account for 10% of all data produced, up from less than 1% today. By cross-referencing this study with IDCs Global DataSphere Forecast study, we can expect that generative AI technology like ChatGPT, DALL-E, Bard, and DeepBrain AI will result in zettabytes of data over the next five years.

Organizations can only take advantage of AI applications if their data storage strategy allows for simple and cost-effective methods to train and deploy these tools at scale. Massive data sets need mass-capacity storage. The time to save data is now, if not yesterday.

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John Morris is CTO of Seagate Technology.

According to IDC, 84% of enterprise data created in 2022 was useful for analysis, but only 24% of it was analyzed or fed into AI or ML algorithms. This means companies are failing to tap the majority of available data. Thats lost business value. Its like having an electric car: if the battery isnt charged, the car wont get you where you need to go. If the data is not stored, not even the smartest of AI tools will help.

As companies look to train AI models, mass-capacity storage will enable both raw and generated data. Businesses will need robust data storage strategies. They should look to the cloud for some of their AI workloads and storage, and they will also store and process some data on the premises. Hard drives (which make up roughly 90% of public cloud storage) are a cost-effective, durable, and reliable solution built for massive data sets. They can store the vast data needed to feed AI models for continuous training.

Keeping raw data even after its processed is essential too. Intellectual property disputes will arise regarding some content created by AI. Industry inquiries or litigation can concern questions regarding the basis for AI insights. Showing your work with stored data will help demonstrate ownership and soundness of conclusions. Data quality also affects the reliability of insights. To help ensure better quality of data, enterprises should use methods that include data preprocessing, data labeling, data augmentation, monitoring data quality metrics, data governance, and subject-matter expert review.

Understandably, data retention costs sometimes cause companies to delete data. Companies need to balance these costs against the need for AI insights, which drive business value.

To cut data costs, leading organizations deploy cloud cost comparison and estimation tools. For on-premises storage, they should look into TCO-optimizing storage systems that are built with hard drives. Additionally, they need to prioritize monitoring data and workload patterns over time, and automate workflows where possible.

Comprehensive data classification is essential to identify the data needed to train AI models. Part of it means ensuring that sensitive datasay, personally identifiable or financial datais handled in compliance with regulations. There must be robust data security. Many organizations encrypt data for safekeeping, but AI algorithms generally cant learn from encrypted data. Companies need a process to securely decrypt their data for training and re-encrypt it for storage.

To ensure AI analysis success, businesses should:

Without these actions, the best generative AI models will be of little use.

Even before the emergence of generative AI, data was the key to unlocking innovation. Companies most adept at managing their multicloud storage are 5.3 more likely than their peers to beat revenue goals. Generative AI could significantly widen the innovation gap between winners and losers.

The buzz around generative AI has rightly focused on its innovative potential. But business leaders will soon realize that their data storage and management strategies are a make-or-break driver of AI success.

We've featured the best data migration tools.

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The secret to successful AI? Data, and how much of it companies keep - TechRadar

When it comes to an organization communication is essential as it helps in maintaining the physical and social aspects of the workflow. From customer relationships to internal communication and public relation, communication is the key to maintaining relations and creating healthy coordination.

Be it top to bottom or down to the bottom, it is primly important to have smooth communications to foster a healthy working environment that guarantees productivity and efficiency. Since it is a digital age, the ways and modes of communication have transformed. Internet and high-grade technology have paved a new method to generate and strengthen connections. And the best thing is that it has made complex internal and external interactions and communication easy and fluent.

This brings us to the concept of cloud communication.

As the name implies, cloud communication is a mode of communication that works based on cloud-host technology.

To put simply, cloud communications are defined as Internet tools that enable the quick and efficient communication of voice and data communication through the cloud. For cloud communication, you do not necessarily need a PSTN but just any internet connection.

Cloud communication includes voice calls, video calls, emails, chats, etc. In sum, cloud communication can help businesses streamline their broadcasting.

You must be aware of cloud computing, the phenomenon of delivery of computing services, including servers, databases, software, storage, analytics, and intelligence over the internet. The cloud is becoming predominantly a computing force in the business world as every business, regardless of size and scale, has to communicate aptly and on time if it wants to survive and thrive.

A user is added to a group or team where all members can send text messages, voice messages, and conduct video calls, share files, and work on projects. They can integrate multiple applications into a single platform to enhance efficiency and productivity. Some of the common cloud communication platforms include Dropbox, Google Drive, Microsoft Office, Skype, and Salesforce, etc.

Needless to mention, since cloud communication takes place over the internet, it is essential to understand that you need high-speed internet to make the communication seamless. For your business, make sure to choose an internet option that offers reliable and high-speed internet. Xfinity, for example, is one of the top-tier internet options in the US that provides lightning-fast internet of up to 2 Gbps. Look up for best plans and packages and explore Xfinity en espaol to navigate through the wide range of options.

There are numerous benefits of cloud communication for businesses, which include:

Gone are the days when businesses had to install and maintain costly on-site phone systems. Cloud computing allows you to communicate through an application on your computer.

One of the best things about cloud communication is that you can respond and communicate with other team members anytime and from anywhere.

Employees need not necessarily be in the office to make a call, listen to voicemails, or respond; they can make and rake calls remotely.

Cloud communication is backed with highly innovative technology, such as s IVR, call forwarding, and call recording, which helps increase efficiency and consume less time.

For your mushrooming cloud phone system, you can always add features that are required for your business. You can update your plan and keeps costs manageable.

Three types of cloud communication are responsible to perform different functions.

Public cloud communication is nothing like a public network that can be accessed by anyone, having high risks of cyber crimes.

When it comes to public cloud communication, there is a different provider but the space in the cloud is encrypted. Not anyone can access it which helps you secure your data or database from stealing. This type of cloud communication best fits small and medium-sized businesses.

Under a private cloud communication system there is an internal network that helps in getting robust security and safety of data and database. It is similar to that of public communication system and the only difference is extra security. This is preferred by companies who deal in highly sensitive data and cannot afford any risks.

Hybrid cloud communication is an amalgamation of synchronous and asynchronous information between remote and on-site team members. It does not require immediate responses; thus is favorable for the teams to work exclusively yet collectively.

It is essential to improve communication to drive consistent sales and meet the business targets, in totality. Cloud communication is one of the innovative means of communication which helps in making interactions go smoothly. Choose from any type of cloud communication that fits your needs and engage your teams in purposeful communication that can upsurge your business.

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Everything You Need to Know About Cloud Communication | - Telemedia Online