FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Carrying Massive Changes for Healthcare Organizations.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Additionally, it’s crucial to consider the deployment and usage strategy for your AI platform. What types of features do AI platforms offer?

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Key Language of Applied Analytics. Data governance.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52