Sisense

MAY 12, 2019

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. And it’s called DevOps analytics. DevOps analytics is the analysis of machine data to find insights that can be acted upon. But is that really true?

Analytics 79

Analytics Dashboards KPI Measurement 79

Cloudera

JUNE 23, 2021

A prominent example was seen in 2008, when a drought in key grain-producing regions—combined with rising biofuel demand, high oil prices, decreasing grain stocks, and the depreciation of the U.S. Insurers will have to adjust their models frequently to match local markets. . dollar—led to a spike in global grain prices.

Insurance 52

Insurance Risk Modeling Risk Management 52

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Occam's Razor

NOVEMBER 18, 2014

And sometimes they are indeed optimal: 7 Data Presentation Tips: Think, Simplify, Calibrate, Visualize. Better than the table, but perhaps less optimal than the Treemap. We know the optimization that is required. It is not great for day-to-day tactical analysts/optimizers/marketers. You''ll also see examples below.].

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

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.” The problems down in the mature bucket, those are optimizations, they aren’t showstoppers.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109