In today’s digital age, the advent of cloud computing systems places an overwhelming amount of data and information at everyone’s fingertips. Using tools like the internet and the growing availability of massive data storage facilities situated around the world, the rate of data exchange and transfer has grown at exponential growth and this makes it difficult to process and derive meaningful information from such huge quantities of data. The integration of AI applications within cloud systems has shown incredible promise in tackling this issue efficiently and provides valuable information for businesses to scale and remain competitive.
BENEFITS OF USING AI IN CLOUD COMPUTING
Listed below are some of the key benefits and uses of artificial intelligence (AI) tools to leverage and gain insights into the massive amounts of data created and flowing from interconnected cloud computing systems.
1. DATA MINING
Increased coalescence between growing data systems enables useful information to be sorted and made available for practical growth in business. The amount of incoming data grows each day, and exponentially over a year. AI can be used to manage overwhelming amounts of data to derive useful information.
Facilitates computer-generated analysis of relevant data to output highly useful and productive insights. Instead of recruiting a team of highly paid and skilled analysts, businesses can leverage AI to manage these tasks much quicker and in a cost-effective way overall.
To develop predictions and statistics, data must be processed multiple times in order to produce meaningful and actionable results. These results, based on enormous sample sizes, facilitate better predictions of future events and milestones. AI and cloud computing is commonly used by legal sports wagering businesses to predict outcomes of sporting events.
4. TEXT ANALYTICS
The technologies can even be used to derive meaning from text analytics. AI tools can detect and analyze vast amounts of textual content coming from multiple sources to determine patterns and the outcomes most likely to happen based on textual data analysis.
5. VISUAL INTERPRETATION
The amount of digital images and videos has grown exponentially in the past few years. AI tools enable experts to quickly process images and video data in order to analyze situations and events. It can be thought of as similar to an AI crime scene investigator analyzing imagery and video data to determine the physical forces at play and formulate the reasons behind a potentially criminal act.
6. AI-BASED INTERACTION
AI applications are tireless, do not require food and can be programmed to always comprehend and respond in the customer’s preferred language. This facilitates increased and more effective interactions with existing and potential future clients, without undergoing the added expenses of recruiting more staff with variable levels of productivity.
7. COGNITIVE COMPUTING
Allows consumers to feed personalized data to allow increased development of relevant algorithm models that suit individual preferences better. A person purchasing a home, for example, can filter through preferences to locate potential homes of interest and other personal needs. A basic AI tool can achieve this quicker and more effectively.
The seven benefits listed above show the practical applications of cloud systems to deliver better outcomes for businesses. Instead of spending time, money and resources on using live customer service executives, AI tools can be integrated to manage a wide range of common tasks without compromising on language barriers or other related issues that often occur with live interactions. Additionally, all relevant data generated is stored, analyzed and processed to deliver useful insights, which further promotes business growth and improvement.