Today’s information age, as well as that of the very near future, places an overwhelming amount of data and information at people’s fingertips via cloud-based computing. With tools like the Internet and massive data storage facilities located around the globe, the rate of informational exchange grows at an exponential rate.
BENEFITS OF USING AI IN CLOUD COMPUTING
Utilizing artificial intelligence (AI) technology tools to harness and make useful sense of all that data. Here are the top seven benefits of using AI in cloud computing:
- DATA MINING
Enables greater synthesis of ever-growing data systems to sort useful information and make it available for practical use in business. Incoming data grows daily, and exponentially each year. AI can manage the otherwise overwhelming amounts of information to make data more useful.
- ANALYTICS
Provides computer-generated analysis of reams of relevant data to produce more useful and productive information. Instead of paying a team of highly paid and highly trained analysts, firms can use AI and get the job done much faster and for less money.
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- PREDICTIONS
Statistics and probabilities require crunching reams of similar data over and over to produce meaningfully significant results. Those results, based on massive sample sizes, enable greater predictions of future events. No better example exists than legal sports wagering operations using AI programs to predict outcomes of future sporting events.
- TEXT ANALYTICS
“Words mean something,” former President Barack Obama once famously said. He is right, and much of that meaning can come from text analytics. AI tools can read and analyze massive amounts of textual content coming from one or more source and better determine patterns and likely outcomes based on the analysis of textual data.
- VISUAL INTERPRETATION
Digital images and videos abound, and AI tools enable operators to more quickly assess imagery and video data to analyze events and situations. It is kind of like an AI crime scene investigator analyzing imagery and video data to assess physical forces at work and better determine the causes of a potentially criminal act.
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We are in the crawling stage when it comes to applying machine learning.”- - Dave WatersTechnologies and their interdependencies are paving the way to a future that is smarter and intelligent to fulfill the demand for resources.
Cloud providers like AWS, Google and Microsoft offer Cloud with ML capabilities that require scads of processing power.
Undermentioned are a few applications of Machine Learning Algorithms using the Cloud Cognitive Cloud - There are millions of people using cloud and they produce massive amounts of data frequently.
The pre-existing unstructured datasets act as a source of information for the machines to learn from and adversely the cloud provides applications with sensory capabilities that are used to perform cognitive functions and make prospective decisions.
Chatbots providing solutions through chat has brought them into focus in the customer service industry eliminating human interaction, hence reducing any errors.
IoT Cloud - Gartner predicts that by 2022, more than 80 percent of enterprise IoT projects will include an AI component, up from only 10 percent today.
