By Mohan Subrahmanya
A revolutionary age in technology has been brought in by the combination of cloud computing and artificial intelligence (AI). As organizations depend more and more on the cloud for their infrastructure needs, artificial intelligence is being integrated into these cloud computing services to enhance their capabilities and functionalities. This fusion of technologies accelerates innovation, efficiency and scalability previously unimaginable. Artificial intelligence (AI) is undeniably aimed to drive cloud services, transform the IT industry and give businesses a tactical advantage to stay ahead of their competitors.
AI plays an important role in elevating cloud services and assisting companies by transforming the way in which they operate in several ways. Below mentioned are few of these advantages –
1. Enhanced security: Enhanced security is a crucial concern for businesses transitioning to the cloud. Ransom attacks on companies are a major worry. According to a study by Foundry to better understand the challenges faced by U.S. enterprises in achieving success with digital transformation initiatives, 51% of respondents who are senior decision-makers employed in IT, IT security and executive management report being impacted by a cybersecurity breach over the past 12 months. They also mentioned that improving threat detection (49%) and response (48%) are top priorities for improving cybersecurity over the next 12 months. To counter this, cloud services now employ AI-driven security solutions to identify and prevent threats in real-time. With Machine Learning efficient scanning of huge volume of data to find necessary patterns and relevant safety hazards is possible effectively. This enables organizations to mitigate risks, safeguard sensitive data, and maintain integrity of cloud infrastructure.
2. Improved automation: Automation enabled by AI is simplifying cloud management and operations. Now, with minimal human interventions, tasks like resource provisioning, scalability and optimization can be carried out more effectively. This not only reduces operational costs but also allows IT teams to focus on strategic initiatives rather than routine maintenance.
3. Predictive analytics: Predictive analytics has transformed the decision-making process of businesses by tapping into artificial intelligence. Cloud service providers use artificial intelligence to analyze historical data points and make accurate predictions. This aids companies in efficiently allocating resources, preparing for what’s to come, and going ahead with decisions that catalyze growth, spur advancements and creativity.
Interesting areas where our customers have employed predictive analytics would include predicting machine failure and maintenance requirements by some of the largest manufacturers, saving them millions in USD. Healthcare providers, for instance, now leverage these predictive analytics tools to schedule patient meetings and predict care requirements for optimal resource utilization. Furthermore, large retailers utilize predictive analytics to study their consumer behavior and maximize their marketing ROI.
4. Cost optimization – One key goal of integrating AI into various aspects of the organization and processes is to reduce expenses. AI makes this possible as it helps businesses to do more, do it better, and have better control on their cloud spending. Predictive AI helps companies perceive complicated patterns that affect customer experience and revenue. This has also helped companies cut down significant costs by enabling them to enhance their customer experience compared to before.
5. Natural Language Processing (NLP): The integration of AI-driven NLP into cloud services is making human-computer interaction more intuitive and efficient. Chatbots, virtual assistants and voice recognition systems are becoming more common in cloud applications, offering users a more natural and convenient way to interact with technology.
6. Scalability and flexibility: AI-driven automation and resource management on cloud make it easier to scale resources based on demand. This flexibility allows businesses to handle spikes in traffic, adapt to changing workloads and respond to market dynamics swiftly.
7. Data insights and analytics: Data analytics on cloud is being revolutionized by AI and Machine Learning. These technologies can process and analyze massive amount of data at speeds impossible for humans, revealing unprecedented insights and patterns. AI and machine learning algorithms can process and analyze data in real time. This enables businesses to gain insights and react to events as they happen. Real-time analytics is crucial in fields such as finance, e-commerce and cybersecurity for identifying and responding to anomalies immediately.
These are a few advantages that companies have secured after harnessing AI, IOT and other advanced technologies. It has equipped them to understand and tackle their major issues, discover solutions and reap remarkable advantages.
Thus, for forward-thinking companies, the incorporation of artificial intelligence (AI) with cloud services is a prerequisite more than just a technological trend; the synergy of artificial intelligence and cloud technology paves the way for increased efficiency and future readiness.
The author is country leader – India, Insight Enterprises
