Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. Genetic Engineer.

Big Data 135

Big Data Advertising Internet of Things Marketing 135

Smart Data Collective

MARCH 17, 2020

The global demand for big data is surging. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming.

Data Science 121

Data Science Big Data Machine Learning Statistics 121

Smart Data Collective

JULY 2, 2019

At Smart Data Collective, we strive to have a balanced conversation about the impact of big data. There are obviously a lot of beneficial changes that big data has spurred. However, big data has also created some important challenges as well, which we feel duty-bound to discuss.

Big Data 100

Big Data ROI Testing Statistics 100

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. As a direct result, less IT support is required to produce reports, trends, visualizations, and insights that facilitate the data decision making process. Qualitative data analysis is based on observation rather than measurement.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 131

Testing Behavioral Analytics Data-driven Big Data 131

O'Reilly on Data

MARCH 20, 2019

Distributed systems and models : For better or worse, we live in the age of big data. Many organizations are now using distributed data processing and machine learning systems. But keeping a placeholder for them when scoring new data, or when retraining future iterations of your model, may come in very handy one day.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

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Experimentation Statistics Testing Knowledge Discovery 96