CIO Business Intelligence
MAY 20, 2022
That’s what some people asked of Adriana “Andi” Karaboutis, the former CIO of Dell who left the computer giant and was named National Grid’s global chief information and digital officer in 2017. Optimizing with machine learning. But it is keeping its eyes on, and using advanced technology, to optimize its core electricity business.
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. billion in 2017 to $190.61 Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. billion by 2025.
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Smart Data Collective
JULY 19, 2019
A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company. Enterprise clients in particular will benefit from Comarch’s set of products optimized just for them, including an enterprise product catalog, digital/wholesale billing, and revenue/partner management tools.
IBM Big Data Hub
MAY 26, 2023
Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. In 2017, 94% of hospitals used electronic clinical data from their EHR.
datapine
NOVEMBER 27, 2019
The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. 5) Collaborative Business Intelligence. 1 for data analytics trends in 2020.
Ontotext
SEPTEMBER 24, 2020
And this is where the value-proposition of a digital twin technology, listed among the top 10 strategic technologies since 2017, comes into play. They introduced RFS to technologies that could help them ingest and integrate critical data in one platform to optimize processes and thus save costs. In a world of 2.5
Cloudera
DECEMBER 19, 2018
The most common big data use case is data warehouse optimization. Other common use cases include customer/social analysis , predictive maintenance, clickstream analytics, fraud detection, and IoT. In 2015, only 17% of organizations surveyed had big data implementations.
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