Smart Data Collective

DECEMBER 17, 2020

Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 billion by 2025 , which is a remarkable 303% increase from 2017. There are a lot of different applications for big data in the healthcare sector. Better patient outcomes with big data.

Data-driven 116

Data-driven Big Data Software Risk 116

Smart Data Collective

MARCH 27, 2020

The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. With the technology available today, there’s even more data to draw from. The good news is that this new data can help lower your insurance rate. Demographics. This includes: Age. Type of Vehicle.

Insurance 108

Insurance Measurement Risk Cost-Benefit 108

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” The inherent capabilities of AI–to process vast amounts of data and use learned intelligence to make decisions with extraordinary speed–enable opportunities uncovered through digital listening. McKinsey & Company’s 2022 Global Survey on AI says , “AI adoption globally is 2.5x

Advertising 100

Advertising Recreation/Entertainment Experimentation Enterprise 100

Andrew White

AUGUST 4, 2020

I read the EU Data Strategy some weeks ago. I posted to my blog some comments and challenges I felt it contained back in March: The Value of Data. The biggest challenge of all is that the EU is seeking to create a market for data. There are of course already many markets for data. Is it the lack data?

Data Strategy 52

Data Strategy Strategy Marketing Data Collection 52

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. www.erwin.com/blog/defining-data-governance/.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. billion in 2017 to $190.61

Technology 279

Technology Internet of Things IT IoT 279