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Third Parties and Data Sharing: A Practical Guide 2021

Third Parties and Data Sharing Introduction As more businesses want to transform data into value, companies that exchange data directly with select partners are progressing. Third-party data can add substantial value in such arrangements. For example, in the financial services industry. providers conventionally rely on third-party data to send pre-approved proposals or offers to consumers.

Why T-Shaped Teams Are The Future Of Work?

T-Shaped Teams – The Future Introduction In a McKinsey Global Survey report published recently, 87% of leaders admitted to having skill gaps in their workforces – and despite this admission, more than half of the leaders who responded to the survey didn’t have a plan to overcome this issue. The pandemic has only made this

Machine Learning to Help Mitigate Suicide Rates in Individuals!

Introduction Suicide has always been an obstinate public health issue, despite significant advances towards the diagnosis and treatment of mental disorders. An area of interest is the development and expansion of suicide screening technologies through accessing and evaluating social media data. Studies have displayed that youth are most likely to reveal suicidal thoughts and suicidal

How BI & Data Analytics More Important During Pandemic?

Introduction Amongst the many strange and cruel features of the COVID-19 pandemic, is the fact that both good and bad news always seem to arrive at the same time. Death rates might fall to new lows, while case counts start a rash climb; though hospitalizations may reduce dramatically in one region, they may increase dramatically

COVID-19 Detection by Applying Deep Learning on CT Images

Introduction Early detection and diagnosis are crucial factors to control the spread of the COVID-19 virus. Various deep learning-based methodologies have been proposed recently for COVID-19 screening in CT scans as a tool that can automate the diagnosis of the COVID-19 virus. CT Images Helps with the Diagnosis As compared to RT-PCR, the Thorax Computer

Predictive Analytics and ML Help in the Fight Against COVID-19

Introduction Various forecasting exercises and predictive model tools have been developed by different organizations, such as academic institutions, research groups, hospitals, and consulting companies, to offer support to health systems associated with COVID-19 strategic decision making, planning, and health policy formulation. Predictive models can help in estimating the number of COVID-19 cases and deaths; the

Predictive Analytics to Help Flag Deterioration in COVID-19 Patients

Introduction In the past few months, there has been a surge in patients being admitted to the Emergency Department (ED) with respiratory illnesses related to the coronavirus disease 2019 (COVID-19). Assessing the risk of deterioration of these patients to perform triage is vital for clinical decision-making and resource allocation. While ED triage is tough under

Data Analytics Revamped with the Help of AI

Introduction Technology has advanced in leaps and bounds in the last few years and this has most certainly changed what analytics can achieve today. Analytics has become more easy and powerful to use. Data analytics has a lot of powerful features; however, it is still not easy to use analytics and data to foresee most

How Machine Learning to Be Used to Prevent Suicide Attempts?

Introduction One of the leading causes of death in the United States is suicide. An Electronic Health Record (EHR) suicide risk assessment tool can forecast and also mitigate clinician burnout in a non-psychiatric medical facility, according to a recent study published in JAMA Network Open. How Does the Machine Learning Tool Help? Prevention of suicide