Smart Data Collective

JULY 27, 2021

Customer relationship management (CRM) platforms are very reliant on big data. As these platforms become more widely used, some of the data resources they depend on become more stretched. CRM providers need to find ways to address the technical debt problem they are facing through new big data initiatives.

Big Data 131

Big Data Snapshot IT Dashboards 131

Smart Data Collective

JULY 30, 2019

Big data is being used more frequently in healthcare facilities all over the world. One report shows that the global market for big data in healthcare is expected to reach $68.75 However, this figure misses some important nuances, such as which areas of medicine are using big data the most. billion in 2025.

Big Data 78

Big Data Software Risk Measurement 78

Laminar Security

JULY 27, 2023

Similarly, businesses need to safeguard their own data, such as intellectual property and strategic plans from exposure, which can harm their ability to create competitive advantage in the marketplace. In 2022, there were 1,802 data compromises , just 60 incidents short of 2021’s record. Not well, sadly.

Risk 65

Risk Big Data Enterprise Publishing 65

TDAN

NOVEMBER 15, 2022

In 2006, the world learned an inconvenient truth. The planet we call “home” was getting hotter and we were to blame. Naturally, being intelligent and rational beings, we took the action necessary to prevent the oncoming catastrophe.

Data Architecture 52

Data Architecture Risk Data Strategy Business Intelligence 52

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Cloud gets introduced: Amazon AWS launched in public beta in 2006.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive.

Testing 81

Testing Consulting Digital Transformation Cost-Benefit 81