Data Pine

MAY 14, 2019

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. Best for: The budding data manager or data miner with a desire to make sense of information in the modern age and beyond.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Marutitech

JANUARY 21, 2022

The primary responsibility of a data science manager is to ensure that the team demonstrates the impact of their actions and that the entire team is working towards the same goals defined by the requirements of the stakeholders. 2. Manage people. Data Understanding. Interpreting data. Track performance. 2.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

GAVS Technology

SEPTEMBER 2, 2021

With the growth of Hyper Scale Cloud Data Platforms, the term ‘massive data’ has taken a back seat. Hence, Big Data can now be referred to as unstructured data which is not in conformance with enterprise business rules, quality constraints and formats. Master Data is key to the success of AI-driven insight.

Master Data Management 52

Master Data Management Healthcare Big Data Data Mining 52

GAVS Technology

AUGUST 5, 2021

It basically refers to the online consultation between a doctor and a patient. Cloud platform players like Microsoft Azure have built reference architectures for building telehealth applications. These reference architectures utilize the best of components from the cloud platform and fit them together for multiple use cases.

Healthcare 52

Healthcare Monitoring Data Mining Documentation 52

GAVS Technology

NOVEMBER 3, 2020

As mentioned in my earlier articles ( Healthcare Data Sharing & Zero Knowledge Proofs in Healthcare Data Sharing ), GAVS Rhodium framework enables Patient and Data Management and Patient Data Sharing and graph databases play a major part in providing patient 360 as well as for provider (doctor) credentialing data.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

GAVS Technology

JANUARY 7, 2021

GAVS Reference Implementation Rhodium to cater to Healthcare Data Management and Interoperability has positioned Blockchain as a core mechanism for patient data sharing, we will share more of our thoughts and details of reference implementation in the coming articles in this series.

Healthcare 52

Healthcare Data Modelling Data Mining Government 52

The BAWorld

NOVEMBER 8, 2024

By exploring the types of business analytics —descriptive, diagnostic, predictive, and prescriptive—businesses can gain deeper insights and make more informed, data-driven decisions that drive success. It is described using methods like drill-down, data discovery, data mining, and correlations.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

Data Pine

JANUARY 24, 2021

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. Your choice of method should depend on the type of data you’ve collected, your team’s skills, and your resources.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Data Pine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. BI Project Manager.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Data Pine

NOVEMBER 27, 2019

It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

FEBRUARY 7, 2024

These are some of the major reasons for its impressive longevity—PostgreSQL has been around for over two decades and continues to rank among the most widely used relational databases for data management today. The two complement each other so you can leverage your data more easily. Discover the Astera difference today!

E-Commerce 52

E-Commerce Data Warehouse Monitoring Data Management 52

GAVS Technology

MAY 7, 2021

The following are a few democratized AI services available as part of cloud providers (most of the examples are from Microsoft Eco System as a reference, however other providers also have similar services). While democratization of AI is viewed differently by different organizations, a common theme has been to make AI adoption simpler.

Healthcare 52

Healthcare Documentation Digital Artificial Intelligence 52

Insight Software

MAY 1, 2023

that gathers data from many sources. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Strategic Objective Enjoy the ultimate flexibility in data sourcing through APIs or plug-ins. It’s all about context.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

ETL is a specific type of data pipeline that focuses on the process of extracting data from sources, transforming it, and loading it into a destination, such as a data warehouse or data lake. ETL is primarily used for data warehousing and business intelligence applications.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52