Artificial Intelligence & Big Data

Big Data and AI are two of the most popular and useful technologies today. Artificial intelligence exists for more than a decade, while Big Data came into the picture just a few years ago. Computers can be used to store millions of records and data, but the power to analyze this data is provided by Big Data.
We can say that together Big Data and AI are a set of two amazing modern technologies that empower machine learning and update the data banks.

Data Journalism


Data journalism is a new skill set for searching, understanding and visualizing digital sources in a time that basic skills from traditional journalism just aren’t enough. It’s not a replacement of traditional journalism, but an addition to it. Big Data assists journalists to figure out how to get the data, understand it and find the story in it.

Customer Sentiments


Organizations are now getting smarter by taking actions based on customer sentiments. Also, political parties and governments are looking at social sentiments as a valuable resource for growth. With big data, real-time customer sentiment analysis has become possible.Customer sentiment analysis takes into account tweets, retweets, hashtags, pins, likes, reactions, comments, and many other similar parameters to evaluate the positivity or negativity among consumers towards a brand or a product. Because the data is huge, it is vital that they are managed efficiently. This makes big data an essential player in customer sentiment analysis. There are two main approaches to analyzing customer sentiment using linguistic resources and using machine learning. Big data applications aid both the method.

ChatBot Services


A ChatBot is a computer program that simulates human conversation through voice commands or text chats or both. Chatbot, short for chatterbot, is an Artificial Intelligence (AI) feature that can be embedded and used through any major messaging applications. ChatBot answers questions, provide direction and gives users information. The biggest advantage of chatbots is that they’re automated and can handle repetitive, time-consuming tasks, leaving human workers stress-free. The more data the business can gather at greater speed, the better-poised business will be. As a result, it is easy to target the right audience with the right information at the right time using Big Data and AI.Artificial intelligence (AI) and Big Data are impacting just about every aspect of life and business. Similarly, the security industry is gaining a lot of attention in this aspect. The use of AI has changed the picture completely through real-time monitoring of the video footage with an intelligent analysis of how security incidents can possibly occur and what needs to be done to prevent them from occurring. Artificial intelligence can also be used to sharpen low-quality images.

e Retail


As artificial intelligence (AI) takes over multiple kinds of industries, retail too has not been left behind. The impact of AI on e-retail is only expected to increase. The increase will allow identification of exceptional prospects, building better customer relations, boosting sales, and bridging the gap between personalisation and privacy.  AI and Big Data also help in organising and managing the inventory of the warehouses, ensuring that the company is well stocked, especially with the products that are in high demand.

Cloud Environment for Big Data


Cloud computing comes in three distinct types public, private and hybrid. Public Clouds: Public clouds are owned and operated by third-party cloud service providers, which deliver their computing resources like servers and storage over the Internet. Here all hardware, software and other supporting infrastructure are owned and managed by the cloud provider. Private Cloud: A private cloud refers to cloud computing resources used exclusively by a single business or organization. A private cloud can be physically located on the company’s on-site datacenter. Some companies also pay third-party service providers to host their private cloud. A private cloud is one in which the services and infrastructure are maintained on a private network. Hybrid Clouds: Hybrid clouds are a combination of public and private clouds, bound together by technology that allows data and applications to be shared between them.


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