Most companies still don’t understand big data and AI — and their potential?
Artificial Intelligence (AI) & Big Data are one of the most rapidly emerging technologies in the digital world. There is an exponential rise in the amount of data being generated every day. AI has turned out to be the new rage these days and the industry you are in doesn’t matter.
Monday July 09, 2018,
4 min Read
Artificial Intelligence (AI) & Big Data are one of the most rapidly emerging technologies in the digital world. There is an exponential rise in the amount of data being generated every day. AI has turned out to be the new rage these days and the industry you are in doesn’t matter. AI has some exceptional potential for today’s world. According to Salesforce’s SMB Trends Report, 11% of small businesses already use AI technology.
AI is a concept of intelligence demonstrated by machines, that earlier required human intelligence to complete. AI can also be termed as Machine Learning (ML), and sometimes Deep Learning. There is a major difference amongst all these terms. Basically Machine Learning and Deep Learning are sub-parts of an entire field of study called Artificial Intelligence.
According to a new strategy, Big Data was deployed in Artificial Intelligence and it turned out to be a game changer approach. As we know Big Data technology makes use of information related to clients and enterprises, it then makes an appropriate analysis to help enterprises make better decisions. The analysis made by Big Data help enterprises make decisions that are much effective and budget-friendly.
Various complex tasks can be performed by AI some of them also include the use of sensors and receptors to gather information and make a decision that usually requires human intelligence. With the advent of the robot, a new autonomy has been introduced that doesn’t require human involvement for implementing those decisions. Imagine when a technology like robotics enabled by AI gets combined with Big Data, we will surely get to see a rise of immensities that cannot be articulated today.
AI and Analytics- A new wave of opportunity
With the evolution of AI and Big Data, we can see a new wave of opportunity coming our way. This is related to advanced technologies such as Robotics and Machine Learning. Industry owners who have deployed these advanced technologies have witnessed significant performance hikes and profits. After deployment, they are taking lead in their industry vertical. Also, their efforts add up to the economy-level rise in production.
Advances in Robotics, Artificial Intelligence, and Machine Learning give rise to a new era of innovation and various opportunities. Major advancements in technology are highlighting the capabilities of machines and how they can boost businesses and the economy.
Talking about robotics, the technology has now been around for a long time now. Some industry verticals include manufacturing that has much more potential, is more flexible, safe. Robots are now an active part of ever-increasing activities, a combination of automation and self-learning skills. They are seen to be improving with time as they are educated by human workers in the workplaces, or they learn by themselves.
How does Big Data and AI benefit enterprises and the owners?
According to a new report by Forrester named, Predictions 2018: The Honeymoon For AI Is Over, predicted that businesses would move beyond the hype and identify that AI requires planning, deployment, and correct governance.
And the result of this would be about 70 percent of businesses are expected to implement AI in the next 12 months, right from 40% in 2016 and 51% in 2017. With such dedicated efforts already taken by owners to grasp the next generation analytics and AI. It can be said that 2018 is already shaping up to be a much constructive year for entrepreneurs.
Now with the advent of new developments in technology such as Big Data, the scope, and future of AI has been elevated to a newer dimension. The merger of Big Data analytics and AI and their evolution together can lead to highly efficient, reliable, and dependable AI defined foundations.