How AI fits with Big Data.

Artificial Intelligence (AI) is a broader concept of machine being able to carry out task in a smart manner. Machine Learning is an application of AI. It is bases on the idea that we provide machine with data and let them learn for themselves.

Big Data is a term that describes the large volume of data- both structured and unstructured. They van be analyzed for insights that leads to better Decisions and strategic business moves. 

The internet now provides a level of concrete information about consumer habits, their likes and dislikes, activities and preference. 

Social media account and social activity, product review, ‘like’ content, shared content, loyalty rewards apps & program and CRM system all add potentially insightful data to the big data pool. 

In White paper by Umbel ‘Ai meets big data’ mentions using data from multiple sources, AI can build a store of knowledge that will ultimately enable accurate prediction on just what you buy but also spend time of a site, what you looked for, what you compared with and other bits of data that AI can synchronize and add to ultimately getting to know you and what you want.

AI Machine Learning and deep learning are learning for every data input and using to generate new rules for future business analytics. 

Gruber states in ‘it’s a virtuous cycle in that way’ that more the data we put through the machine learning models, the better the AI gets. 

Big Data is the power behind AI, Large data sets make it possible for machine application to learn independently and rapidly. 

AI Provides better insight to your Big Data 

•   Less Labor Intensive

In the past managing and analyzing data depends less on time-consuming manual efforts than in the past. Thanks to AI, Process that would take days or weeks are picking speed. Thus, using AI Technology reduces manual, labor intensive burden and increase speed with providing you with semi- automatic decision and insight based on training data.

•  AI/ML Reduces common data problem

The value of your data is linked to its quality; poor quality means low value. According to Kranc, ML Algorithms can detect duplicate records that describes same entity with slightly different terminology. This Normalize data to a common terminology. 

•  Increase Productivity

Artificial Intelligence has become a necessity in the business world. It is being used to manage highly computational tasks that require maximum effort and time.

• Solve complex problems

Throughout the years, AI has progressed from simple Machine Learning algorithms to advanced machine learning concepts such as Deep Learning. This growth in AI has helped companies solve complex issues such as fraud detection, medical diagnosis, weather forecasting and so on.

• Manage repetitive task

With a lot of duplicate data performing repetitive tasks can become very monotonous and time-consuming. Using AI for tiresome and routine tasks can help us focus on the most important tasks in our to-do list.

The Bottom-line

Combination of AI and big data has remarkably increase the way organization deals with their data and customers. The AI and big data have biggest impact on BI, Analytics and data prediction. The future reveals the AI and big data potential that we can’t even think of. AI and Big Data have high potential which can’t be define and so its impact.