The health care industry can and will benefit greatly from big data. As health care professionals look for ways to reduce disease, treat patients, and lower costs, big data will be heavily used to bridge the gaps. Doctors all around the world will be able to enter endless amounts of data and in return, big data can provide valuable statistical information on specific ailments and what factors contributed to development. Once you factor that in with a specific patient, a doctor will be able to make better decisions for the patient and possibly avoid costly medication, procedures, or even the wrong diagnosis (5 ways companies are using big data, 2014). Big data has many advantages. One advantage is the ability to recognize errors and correct them quickly. Not only can it correct them quickly, errors can be prevented in the future. Another advantage is real time fraud detection. It comes down to speed and big data can quickly detect fraud and send alerts so that measures can be taken in real time. Big data can be used to create strategies to deal with your competitors. Big data can analyze your completion and provide a picture of what they are doing in areas like product release, price changes, and location targeting. Big data can analyze customer trends in real time and can look at many areas including advertisements, …show more content…
Machine learning is similar to artificial intelligence and could provide businesses with an incredible tool for producing usable reports and information. IBM is currently developing open Watson and a company called Adatao just received $13 million in funding for development from Andreessen Horowitz. The goal is to provide simple real time querying of large data sets. Adatao also wants to provide the capability to collaborate on available documents that have charts that come from huge data sets (Paul,
And with the best data available, medical professionals will be able to compare data better, advance research initiatives, make more informed decisions, identify public health issues, and process claims
Digitized healthcare can bridge these gaps by leveraging technology to enable remote monitoring, telemedicine, digital health records, and personalized treatment plans, making healthcare more accessible, efficient, and patient-centric. Artificial Intelligence (AI) and Machine Learning (ML) have rapidly emerged as powerful tools in the field of healthcare, transforming the way healthcare providers diagnose, treat, and manage
I would say the best advantage it gives the consumers is having more options to choose from. When competitors compete, it only makes the consumers the beneficiary. What are its disadvantages? It leads to excessive competition which only leads to financial losses. Some competitors even end up merging just to make up for their significant losses.
Hence, it is obligatory for Microsoft to continue enhancing its cloud technology with AI (Artificial Intelligence) and high security platform for superior analysis of data. Microsoft is the established player in office related products.
Answer 1:- As one of the largest e-commerce platforms in the world, Amazon collects vast amounts of data on customer behavior, purchases, and preferences. Here are three different types of analytics that Amazon uses this data for: Predictive analytics: Amazon uses predictive analytics to anticipate what customers may want to buy in the future. By analyzing purchasing behavior and browsing history, Amazon can recommend products to customers that they are likely to purchase based on their past behaviors. This helps Amazon to improve customer experience, increase sales, and retain customers.
With the exponential increase in computer network usage and the increasing number of devices getting connected to a network, it is of great importance that they are operated securely. All computer networks suffers from one of many security flaws, the recent “Wannacry Ransomware” took cyber security industry by storm. Though there was a fix for that security loophole, organizations were lazy on applying the security patches, this behaviour of the organization can be because of organizational structure, increasing profitability or in some cases the machine is operating a critical infrastructure. Therefore, Intrusion Detection System’s (IDS) role is becoming important in tackling cyber security.
United Parcel Company (UPS) which is a logistics company takes many uses of big data. UPS have been tracking package movement and transaction information since 1980s. Currently the company tracks over 16.3 million packages of 8.8 million customers per day. Company takes up about 16 petabytes of data. Big data gets gathered from sources such as UPS transportation trucks that include truck speed, direction, braking, drive train performance, fuel levels etc.
Abstract Big data is everywhere. Big data revolution is creating paths to collect and analyze information of varying sizes, types and volume. It’s not only used in sectors like marketing, sales and product development. The potential use of big data is also spread to HR and Finance which help in finding new insights and strategic decision making.
A great example, of using Big Data, is Wal-Mart, which is one of the biggest stores in United States. An effective way of using the Big Data is through their sophisticated process of inventory. Wal-Mart makes sure that each of their stores that she operates, and including warehouses where the product is kept and then distributed directly to the stores, to have a real time point of sale. All the sales that occur in Wal-Mart stores are registered automatically in their database, in order for the sales manager to have an exact overview of what product is sold, which if the most favorite for their customers, what is left on the stock etc. Keeping this control, through this way they know that for example: lets say that a Wal-Mart located in
The idea of machine learning is something resulting from this environment. Computers can break down advanced information to discover patterns and laws in ways that is more complex for a human to do. The fundamental thought of machine learning is that a computer can automatically gain from experience (Mitchell, 1997). Although machine learning applications differ, its general function is similar through its applications.
What if all medicines you’ve taken, information of every doctor’s visit, operations, and infection could be captured efficiently and accurately? How advantageous would it be if you can have the full history of your health? This is what Blockchain in healthcare industry could do remarkably well. Blockchain is the most important technology since internet, the internet is programmable information whereas Blockchain is Programmable paucity.
Tracking consumers’ habits in many different aspects of their life has allowed them to gear specific products in a specific manner. The Big Data I speak of is basically new. It is the data being created by all the electronic medical records the medical industry has begun to utilize over the past few years. With the mandate from Congress every hospital in the country had to install software to utilize as electronic health
Thus SQL was born. 2. SQL Advantages and Disadvantages: 2.1 Advantages: • Powerful Language: SQL Queries can be used to retrieve large amounts of records from a database quickly and efficiently. [2] • SQL joins two or more tables and show it as one table to user. • Easy to learn: It is easy to use because it is like the structured English language so it does not need any coding.
Over the centuries, machines and computers have performed various tasks and this method seems to be growing exponentially over time. The idea of merging these machineries together with the computational power of computers to act or think in a way humans do, forming computers or machines as intelligent as human beings, has happened for some time. Artificial Intelligence (AI)
De-Identified Personal Health Care System Using Hadoop Dasari Madhavi1, Dr.B.V.Ramana2 1 M.Tech, Department of Information Technology, AITAM, Tekkali, A.P. dasarimadhavi.it@gmail.com 2 Professor & Head of the Department, Information Technology, AITAM, Tekkali, A.P. ramana.bendi@gmail.com ABSTRACT Hadoop technology plays a vital role in improving the quality of healthcare by delivering right information to right people at right time and reduces its cost and time. Most properly health care functions like admission, discharge, and transfer patient data maintained in Computer based Patient Records (CPR), Personal Health Information (PHI), and Electronic Health Records (EHR). The use of medical Big Data is increasingly popular