CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. Plus, it uses LLMs like GPT-4 to generate natural language insights from data using AI techniques like natural language processing and generation.

Digital Transformation 119

Digital Transformation Dashboards Reporting Data Science 119

Smart Data Collective

APRIL 2, 2019

Sometimes they did, sometimes they didn’t, but the overall feeling when it came to Big Data was still positive because of the potential it had for delivering insights to the business world. The Thrust for Data Lake Creation. The Third Problem – Preparation of Data.

Data Lake 83

Data Lake Big Data OLAP Testing 83

The Unofficial Google Data Science Blog

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. We conclude with an example of our forecasting routine applied to publicly available Turkish Electricity data. Finally, the time series model may give more accurate forecasts than an explanatory or mixed model.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Another way to find the metric you want to change is to look at your business model. The business model also tells you what the metric should be.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Rita Sallam

AUGUST 28, 2022

At a global level the number of people without reliable access to electricity spiked in 2011. Solar power is being used successfully in many African nations, but data collection is poor and so hides the important social benefits of this energy source.

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. Consuming this data, we’ll often care about the mean of multiple labels.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Who builds their models? Management.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49