Data Management Data Security Digital Transformation 
Smart Data Collective
JULY 29, 2021
The race to embrace digital transformation is on and a lot of organizations are doing everything possible to ensure they digitize every piece of information; this is, however, putting at greater risks of cyber-attacks and data breaches. Trillion by 2024 , it’s obvious that data security challenges will hit new heights.
Dataversity
AUGUST 7, 2023
In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.
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Dataversity
DECEMBER 11, 2020
Looking within the lenses of Data Management, data security, and privacy, the same holds true. The internet is awash with data that is […]. The post Why Data Privacy and Data Governance Will Be Even More Mission-Critical in 2021 appeared first on DATAVERSITY.
Tableau
MAY 11, 2022
When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. May 11, 2022 - 6:16pm. May 11, 2022.
Tableau
MAY 11, 2022
When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. May 11, 2022 - 6:16pm. May 11, 2022.
Cprime
JANUARY 23, 2024
How does generative AI influence data management in enterprises? – Generative AI enables enterprises to process unstructured data, unlocking new business value and sparking advances across organizational functions. Functional risks like model drift and data poisoning require continuous monitoring and model retraining.
Astera
APRIL 3, 2023
AI-driven document data extraction tools can expedite this process by automatically identifying and extracting relevant data, significantly reducing the time and effort required to complete compliance reporting. Additionally, regulatory requirements may change over time, necessitating adjustments to data management processes.
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