Organisations turn to the public cloud to gain a competitive edge as the business landscape becomes increasingly competitive. It’s no wonder – that the public cloud is versatile and rapidly integrates AI technologies to provide unlimited adaptability.
As a matter of fact, AI has revolutionised public cloud computing. Businesses can gain insights and make informed decisions by accumulating and analysing large amounts of data. Consequently, public cloud providers constantly expand their AI capabilities, providing businesses with cutting-edge tools and services to drive innovation and growth.
In public clouds, AI adoption is on the rise.
In this way, AI is being recognised as an essential part of cloud-based strategies by more and more businesses.
This article provides a detailed examination of many questions that you might have, such as, is the public cloud secure, or, with public clouds, who owns the infrastructure, and how does the public cloud work?
How are public and private clouds different?
Generally, a public cloud is a deployment in which third-party service providers own and manage the cloud resources such as software, hardware, and supporting public cloud applications. To implement a public cloud in a company, providers provide the infrastructure necessary to host and distribute workloads. The system offers web-based email, storage, online office applications, testing, and development.
On the other hand, a private cloud consists of cloud computing resources that are exclusively used by one organisation.
Public Cloud Vs. Private Cloud
There are similarities in the services provided by both public and private clouds, but they differ in how they are provided and operated. If you are wondering why the public cloud incurs high CAPEX and less OPEX and why the public cloud is better than the private cloud, let us examine the key differences between private and public clouds.
Public clouds:
- Lower costs
- No maintenance
- Near-unlimited scalability
- High reliability
Private clouds:
- More flexibility
- More control
- More scalability
AI and cloud computing merge
As a result of your understanding of cloud computing and its pros and cons, let us consider merging two technologies, artificial intelligence and cloud computing. With cloud computing services, the user can experience a connected and intuitive experience with AI software. Public cloud services eliminate the need to build and maintain a distinct infrastructure for AI platforms. Let us look closely at some of the standard AI applications available in public clouds.
- IoT – Public cloud technologies can process and store data created by AI platforms on IoT devices and help them perform.
- ChatBots – Artificial intelligence (AI) software is used to conduct chatbot conversations with users. However, the public cloud platforms process chatbot data for further processing.
- Business Intelligence – BI is another application that uses AI to gather data from the public cloud and run analytics.
- Cognitive cloud computing – AI models use public cloud data for cognitive computing. Here, the technology simulates and replicates human thought processes in complicated situations.
Advantages of Deploying AI in Cloud Environments
An innovative public cloud incorporates artificial intelligence, with AI being the cherry on top of the cake. Here are some reasons why AI and public clouds are an unbeatable combination:
- Cost savings – Many public cloud services have allowed small and medium business owners to build, deploy, and test AI models for much less money today. By deploying AI in cloud environments, errors are reduced, and human interference and labour costs are also reduced.
- Productivity – AI integration with public clouds reduces the time and effort spent building, testing, and managing software. AI ensures user productivity and efficiency by automating processes, allowing the internal team to focus on more strategic and creative tasks.
- Automation – Using AI in the public cloud automates routine processes and tasks. AI-powered clouds offer sophisticated services with intelligent data insights that help users make better decisions without human interaction. AI-powered clouds monitor and optimise without human intervention.
- Analytics – Public clouds contain vast amounts of data that can only be analysed to gain insights. Using artificial intelligence in cloud environments simplifies data mining and facilitates data analysis by identifying patterns and trends and providing valuable business insights. By utilising analytics, AI can provide customers with personalised recommendations tailored to their needs, improving customer satisfaction.
- Data management – Artificial intelligence has brought innovation to enhance data management in the cloud environment. AI integration with the cloud has improved query accuracy, cloud computing flexibility, the organisation and streamlining of data, and the updating and managing of finances in real-time.
- Better SaaS tools – Combining AI with SaaS enables brands to provide their customers with additional functionality and value to their customers. By integrating SaaS and AI, brands can track consumer behaviour, patterns, and demand, which can be utilised to improve customer service. AI-based algorithms assist businesses in identifying patterns in the data and developing strategies based on these insights.
- Increased security – Combining AI and public clouds enhances data security since AI tools are better at detecting and managing errors. Reduced unauthorised access also reduces the risk of security breaches.
In what ways are public clouds innovating with AI?
Let’s explore how public clouds revolutionise businesses, leveraging AI technologies through AI innovation.
1. Pre-built AI Services: Public clouds offer pre-developed AI services that enable businesses to easily incorporate AI capabilities into their applications without building complex AI models from scratch. These pre-built services cover many AI functionalities, including image recognition, natural language processing, speech recognition, machine translation, sentiment analysis, recommendation systems, and more.
Public cloud providers have made these services accessible through APIs. This allows developers to easily integrate them into their applications and leverage AI power with just a few lines of code. This is without significant upfront investment in data scientists or machine learning expertise. This democratises access to AI and makes it easier for businesses of all sizes to adopt AI technologies.
2. Custom AI Models: Public clouds also provide tools and frameworks for businesses to build custom AI models. These frameworks offer machine-learning capabilities, such as TensorFlow, PyTorch, and sci-kit-learn, that allow companies to train and deploy their machine-learning models in the cloud. Public cloud providers also offer AutoML (Automated Machine Learning) tools that make it easier for non-experts to create AI models without deep machine learning expertise. These tools use automated techniques to simplify the process of building, training, and deploying machine learning models. This makes AI accessible to a wide range of users.
3. High-performance Computing: Public clouds optimise high-performance computing resources, such as GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), for accelerating AI workloads. These specialised hardware resources enable businesses to perform complex AI computations at scale, reducing the time required to train and deploy AI models. Public cloud providers are continually improving their hardware offerings, such as offering GPUs with more significant memory and faster processing speeds. This is to keep up with AI applications’ evolving needs.
4. Data Management and Integration: Public clouds offer robust data management and integration capabilities crucial for AI applications. They provide data lakes, warehouses, and pipelines that allow businesses to store, process, and analyse large volumes of data for AI training and inference. Public cloud providers also offer data integration services that enable businesses to quickly ingest, preprocess, and transform data from various sources. These sources include databases, data streams, and external APIs. This is for AI workflows. Data management and integration capabilities are essential for building and training accurate AI models that generate meaningful insights from data.
5. Edge Computing and IoT: Public clouds also extend AI capabilities to the edge, where IoT (Internet of Things) devices generate data in real-time. Edge computing involves processing data locally on the device or at the network’s edge. This reduces the latency and bandwidth requirements for processing data to the cloud. Public cloud providers offer edge computing platforms that enable businesses to deploy AI models to edge devices, such as IoT devices, gateways, and edge servers. This allows companies to process data and make real-time AI-driven decisions closer to the data source. This is particularly critical for time-sensitive and mission-critical applications like autonomous vehicles, smart cities, and industrial automation.
6. Collaboration and Deployment: Public clouds provide collaboration tools and deployment options that enable businesses to work together and deploy AI models at scale. They offer collaboration platforms for data scientists, developers, and other stakeholders.
Conclusion
The process of planning, designing, and implementing public clouds to support AI can be daunting. There are expert technology partners who can help you with the journey. However, once implemented, this will increase users’ value and experience.
When integrated with public cloud technologies, emerging technologies like AI drive seamless operations with increased efficiency and improve customer experiences.
If you would like to share your views on Public Clouds or Private Clouds, or many other topics related to the IT industry, BizBuzz is an exclusive community for IT decision-makers like you.
As a decision-maker in your field, take our ITDM survey now. Join us today to learn more.
About Us
BizBuzz is a one-of-a-kind and exclusive B2B decision-makers community committed to building a better future for global businesses. Take our surveys for IT, HR, Finance, Business, and Marketing industries to earn rewards as a decision-maker in your field. Join us today to learn more.
