Many Technologies come here to serve the human needs but very few has flipped the world upside down. Artificial Intelligence is one among them! Very recently AI powered tools like chat GPT and bard has become the talk of the town. The waves created by these tools is on its way to impact the working methodology of almost every industrial sectors.
With its ability to process vast amount of data, AI helped to use cloud computing at its full potential. In this blog, we’ll take a look at the impact of AI in cloud computing and how it’s changing the industry.
Interesting Stats About AI and Cloud Computing
- 87% of companies incorporated AI in the year 2020.
- 65% utilized it to create applications
- Market value to AI is expected to grow up to 900 billion USD in the year 2026.
- In 2025, nearly 97 million people will expect to work under AI space
- 48% of businesses uses big data analysis effectively
Why It is an Epic Combo?
The usage of machine learning (ML)-based AI software in cloud environments provides clients and users with intuitive and connected experiences. This seamless integration enables a range of tasks, from conducting a search to playing a music to completing a purchase.
Large data sets are used to train the algorithm in ML models. This data can be at any type. Really large volume of computing power is necessary to process the obtained data. Such massive amounts of compute power can only be offered today by the proper combination of public, private, or hybrid cloud systems Additionally, the cloud makes it possible to leverage ML-related services like serverless computing, batch processing, and container orchestration.
With public cloud services, developers may host AI platforms without having to create and maintain a separate infrastructure. To test and deploy AI applications, they can leverage models and configurations that are already available.
Artificial intelligence (AI) is improving cloud computing in several ways:
- Resource Optimization: AI algorithms can help in optimizing the use of cloud resources, such as CPU, memory, storage, and network bandwidth. This helps in reducing costs and improving performance.
- Predictive Maintenance: monitoring cloud infrastructure and predict potential issues, allowing cloud managed service providers to proactively resolve them before they cause downtime or performance issues.
- Autoscaling: Automatically scale cloud resources based on demand, reducing the need for manual intervention and improving the reliability of cloud services.
- Load Balancing: AI algorithms can dynamically balance the load across different cloud instances, ensuring that the cloud infrastructure operates efficiently and provides consistent performance.
- Security: Analyze large amounts of generated data to identify security threats, such as malware and intrusion attempts. This helps AWS managed service providers to enhance the security of their infrastructure.
- Predictive Analytics: Make predictions about future events, such as demand trends, resource utilization patterns, and performance issues. This can to make better decisions and improve the overall efficiency.
Top AI based Applications used in Cloud
IOT: With IOT devices, one can measure various parameters, data and transmit information.
Chatbots: Chatbots become undeniable integration for any business in this digital era. cloud platforms process and store the data captured by it and utilize it to its best
Business Intelligence: Business intelligence is an application used by big sharks to collect information about customers, market, their actions and to predict analysis
AI as a Service: AI outsourcing services lets companies to test their ML algorithms and software before implementation in their cloud infrastructure.
Cognitive Cloud Computing: It enhances self-learning algorithms also leverages pattern recognition, natural language processing.
Benefits of AI in Cloud Computing
One of the main benefits of AI in cloud computing is improved efficiency. AI algorithms can automate routine tasks and make the cloud computing process much faster.
With the increasing amount of sensitive data being stored in the cloud, security is becoming a major concern. AI algorithms can be used to detect and prevent potential security threats in real-time.
Better Decision Making
AI algorithms can also be used to analyze large amounts of data and provide insights that can inform decision-making.
Proficient data management
With real-time data, AI has improved customer service. it streamlines data in all the aspects
Challenges of AI in Cloud Computing
One of the main challenges of AI in cloud computing is cost. AI algorithms require large amounts of computing power, which can be expensive.
There is a shortage of AI professionals, which can make it difficult for organizations to find the talent they need to implement AI in their cloud computing systems.
There are currently few regulations in place that govern the use of AI, and many organizations are unsure about how to navigate the regulatory landscape.
As said in the above, AI process bulk volume of data. At times, it includes sensitive data so data privacy needs to be improved.
The impact of AI in cloud computing is significant. It has its own benefits as well as challenges. however, it is clear that AI is poised to play a major role in the future of cloud computing, and organizations that embrace AI will be well positioned to take advantage of its benefits.