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 85

Advertising Recreation/Entertainment Experimentation Enterprise 85

Smart Data Collective

APRIL 5, 2022

Although SageMaker has become a popular hardware accelerator since it was launched in 2017, there are plenty of other overlooked hardware accelerators on the market. If you want to streamline various parts of the data science development process, then you should be aware of all of your options.

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

datapine

NOVEMBER 19, 2019

Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. billion in 2017 to $190.61 Such innovations offer the ability to transfer data over a network, creating valuable experiences for both the consumer and the business itself.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. For the first couple of interactions, give her/him that data. In my case the interactive elements which are useful are clearly displayed above. It will save you hours and hours of time, effort and focus.

Metrics 141

Metrics Reporting Analytics Marketing 141

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Katherine Twomey, Gert Westermann (2017). This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66