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. . Improve Visibility within Supply Chains.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

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 79

Big Data Data Analytics Analytics Internet of Things 79

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. What types of features do AI platforms offer?

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 99

Data Analytics Analytics Data Warehouse Data Lake 99

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. Key Language of Applied Analytics. Data pipelines.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Andrew White

JANUARY 11, 2021

See The Future of Data and Analytics: Reengineering the Decision, 2025. You mentioned a few times that most enterprises are not good at data governance. It is much less just about defensive controls and more about enabling capabilities. where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52