FineReport

APRIL 9, 2024

The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

JULY 11, 2023

This sort of routine monitoring and scheduling takes tasks off the hands of clinical staff, who can then spend more time directly on patient care, where human judgment and interaction matter most. AI-enabled robots can work around sensitive organs and tissues, reducing blood loss, infection risk and post-surgery pain.

Deep Learning 60

Deep Learning Cost-Benefit Insurance Machine Learning 60

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Tune in, and don’t forget to subscribe!

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. This almost always results in lack of adoption, and can also expose an organization to risk.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

datapine

OCTOBER 21, 2020

By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package. If you put on too many workers, you run the risk of having unnecessary labor costs add up.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

datapine

OCTOBER 11, 2023

It allows for informed decision-making and efficient risk mitigation. As seen in the image above, these costs can include employee salaries, taxes, insurance, storage, and even the investment opportunities that the business might be losing due to having a lot of resources tight to inventory.

Metrics 217

Metrics KPI Management Cost-Benefit 217

Ontotext

SEPTEMBER 2, 2020

The risk is that the organization creates a valuable asset with years of expertise and experience that is directly relevant to the organization and that valuable asset can one day cross the street to your competitors. Organizations that invest time and resources to improve the knowledge and capabilities of their employees perform better.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

CIO Business Intelligence

APRIL 15, 2022

The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. The algorithm learned to identify children, not high-risk patients. The study’s researchers suggested that a few factors may have contributed.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Cloudera

NOVEMBER 4, 2020

Insurance is no different. Insurance is not something the average consumer thinks about every day but when a life changing event happens, insurance becomes extremely important. It is in this “Moment of Truth” that insurers excel or fail. To provide the best price, the insurer needs to better understand their customer.

Insurance 113

Insurance Machine Learning Risk IoT 113

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” You know, companies like telecom and insurance, they don’t really need machine learning.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Some data is more a risk than valuable. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? GI-GO of course we all know. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52