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Introduction 

While the pandemic has spurred digital transformation, even a corporate metaverse debate about the future of remote work, AI was…

Since technology has started disrupting the healthcare sector, innovations are included to follow a patient-driven approach. Recently, AI chatbots have been the new hue in the market and have caught the attention of health experts. As a vital part of healthcare IT solutions, AI chatbots work faster and more effectively to resolve patients' queries than…

Out of the many advancements and tools, the evolution of technology has empowered the world with; cloud computing would easily fare somewhere at the top of the list. Why is that, you ask; well, folks, for starters, embracing cloud computing leads to an immediate reduction in costs for the company. And, since one doesn’t have to worry about setting up…

The past year has presented the medical industry with new challenges that humanity has hardly faced before. The situation in the world has accelerated the rapid pace of software development for medical devices and made people realize the irreplaceable role of high technology in…

Recent studies show that, ‘healthcare’, very niche and the personalized sector is now expanding its arm to embrace 'AI strategies' on priority this journey will be a roller coaster due to unawareness of where and how AI should be used,and also how to implement it on larger & wider scales. This article will talk about various areas of…

Recent studies show that, ‘healthcare’, very niche and personalized sector is now expanding its arm to embrace 'AI strategies' on priority this journey will be a roller coaster due to unawareness of where and how AI should be used ,and also how to implement it on larger & wider scales. This article will talk about various areas of AI…

“Healthcare Industry has started to embrace the robotic technology which is paving the way for improved services. Let us learn more about it through this blog!”

The progression of various technologies has been changing the functioning of different sectors all over the world. This advancement…

by Peter Bruce, President & Founder, Statistics.com

Nearly everyone is now familiar with the IHME Covid-19 forecasts (also called the “Murray” model after the lead project investigator at the Institute for…

The Telegraph covered a robotic revolution in the healthcare sector and predicted an increase in robotic systems in hospitals in the coming decade. Insights from…

• Is data governance critical for you?
• Would you want to build a flexible data governance strategy, iteratively realizing the benefits as it evolves?
• Would you have big data oriented programs, generating a vast amount of data?
• Would you want a governance strategy around individual programs or rolled up into some logical grouping?
• Would you want to improve over your existing governance strategy?
• Would you have…

Multicollinearity (Collinearity) is not a new term especially when dealing with multiple regression models. This phenomenon of relationship in between one response variable with the set of predictor variables also include models like classification and regression trees as well as neural networks. Collinearity is infamously famous for inflating the variance of at least one estimated regression coefficient, which can cause the model to predict erroneously and in a business setup it can have an…

Linear Model better known as linear regression is one of the most common and flexible analysis framework to identify relationship between two or more variables. The widely used linear model is represented by drawing the best fit line through a series of data points represented on a scatter plot. 

For any budding business analyst this should be the starting point to understand how model works at the very core of its design.

Selecting the Variables in Deducer…

As per the largest market research firm MarketsandMarkets the speech analytics industry will grow to USD 1.60 billion by 2020 at a Compound Annual Growth Rate (CAGR) of 22% from 2015 to 2020. Today the omnichannel world consists of voice, email, chat, social channels, and surveys, and each channel has its own importance.

Therefore, it becomes inevitable for any customer centric organization to ignore the information that can be glean…

As the world is getting more tech savvy and advancements made in the information technology especially in the healthcare industry has opened areas in data mining and machine learning. Within the area of data mining one technique which has gained a lot of popularity as well as skepticism among the auditors and fraud detectives is Benford’s Law or “The Law of First digit.

In the past some researchers in Canada used the Benford’s Law distribution to detect anomalies within the claims…

Best Subset Regression method can be used to create a best-fitting regression model. This technique of model building helps to identify which predictor (independent) variables should be included in a multiple regression model(MLR).

This method comprises of scrutinizing all of the models created from all possible permutation combination of predictor variables. This technique uses the R Squared value to check for the best model. Considering the level of complexity involved in creating…

A business intelligence platform is used by healthcare organizations to build helpful healthcare applications that assist them in ensuring the provision of quality healthcare to patients. BI platforms help control healthcare costs and provide several benefits to healthcare organizations such as analysis capability, providing information on delivery, and integration. 

Healthcare BI platforms offer a very useful function called financial analytics. The availability of the financial…

Watch out folks - there is a new breed of health analytics firms sprouting like weeds - mining "big data" about you and making broad and bold predictions about your state of health to make workplace decisions.

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"Move out of the way – I am ready to model.” That is the typical sentiment of a Data Science team when given a business…

Business goals are no doubt important, but in an analytic project it makes sense to balance the organization's goals with…

Most Data Scientists like to get their hands dirty with data just as quickly as possible, but it is important to…