It stands to reason that Big Data was going to reach a crossroads and transform into something even more wonderful and exciting at some point in its ever-growing existence. That day has come, and at the crossroads, Big Data has met AI and become Big Data AI.
The Big Data problem has always been that realistically there was almost too much data to manage. Big Data, in some ways, was just a beautiful idea. There are organizations, industries even with gigabytes of data, but without the knowledge, resources, or the time to put it to use. Stockpiles of Big Data have been created the world over just waiting to be used. For any Big Data enthusiasts in organizations or industries in this position, it may come as a relief to learn that Big Data AI could be what you have been waiting for.
This article by Regina Wheeler, a machine learning consultant at Academicbrits.com and Thesis writing service, talks about the role of Big Data AI and how it can be used.
What is Big Data AI?
Big Data AI is a marriage of convenience in the world of technology. Using AI technologies means that big data can be processed quicker. AI algorithms can sort through big data much faster than any human. Better still, using AI means that rules can be set, and behaviors can be automated. AI can make decisions about what to do with the data. In essence, it unblocks the potential of data silos and streamlines the analysis process.
AI benefits from Big Data by utilizing it as a learning tool. The more data AI has access to then the more it knows. Allowing it to enhance prediction capability (behavioral predictions not mystic ones). Where Big Data sees potential, AI takes action. They are the perfect couple.
What’s more, is that AI can analyze data that we were previously unable too. Video, voice, and imagery, for example, are data blockages that have largely been pushed to the back of the shelf until companies worked out how to use them. Big Data AI for video analysis is a trend already developing rapidly in professional sports. Big Data AI is being used to analyze how teams play and to develop game strategies from that information.
Taking it a step further, UK tennis stalwart, Wimbledon, is an example of how the sport and entertainment industries can collaborate to use Big Data AI to manage live data. Wimbledon uses Big Data AI to analyze crowd reactions during matches, thus extracting match highlights in real time to replay and disseminate sports news outlets. “In a time when consumer expectations are that their needs – be they entertainment, medical, information, or otherwise – will be met immediately, the speed at which Big Data AI works is paramount.” Says, Will Curtis, an AI blogger at Australia2write.com and Britstudent.com.
How can Big Data AI be used?
Big Data AI will enable companies to make specific predictions about how their customers behave and help them act on it quicker from a consumer business perspective. AI can analyze data from several sources to present precise details that will allow targeted marketing like never before. For example, imagine if fast food outlets could send targeted advertisements to you at a time of day that they know you usually crave a certain food or drink Or that are you are visiting an area that has a store with your favorite dish and you receive a discount code for that day only. AI can give marketers this level of detail and set up a rule to send advertisements to you when either the deciding factor is present.
Staying with the food industry, AI can also use Big Data to assist in the supply chain. By analyzing data imputed at different stages, AI can then help prevent both food waste and foodborne disease. Likewise, in the pharma industry, Big Data AI is already impacting the development of medicine. “With its ability to analyze large bases of data and to do so quickly, Big Data AI could potentially help find cures to or at least common denominators for diseases like cancer and Alzheimer’s.” Predicts, Maria Goldsmith, a tech writer at 1Day2write.com and Nextcoursework.com.
As Big Data AI develops and creates more tangible solutions, it could change the face of business. Companies with stockpiled data will require AI specialists. This will lead to business mergers and potentially new jobs in the tech industry. As Big Data AI takes hold, we can expect innovation development at a rapid rate across multiple industries. What we know for sure is that Big Data AI is the future.