IBM Big Data Hub

APRIL 18, 2023

Real-Time Payments, for example, have widely adopted ISO 20022 across many countries, and Wire Payments networks are also announcing their support plans, including Fedwire, Lynx and SWIFT, by the end of 2025. Enhanced Risk Management: better identify and manage risks, such as fraud, credit risk and operational risk.

Risk Management 115

Risk Management Cost-Benefit Risk Data-driven 115

DataKitchen

FEBRUARY 2, 2023

What will the world of data tools be like at the end of 2025? The crazy idea is that data teams are beyond the boom decade of “spending extravagance” and need to focus on doing more with less. What will exist at the end of 2025? ’ They are data enabling vs. value delivery.

Metadata 130

Metadata Testing Risk Data Science 130

DataKitchen

FEBRUARY 21, 2023

are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” Learn, improve, and iterate quickly (with feedback from the customer) with low risk.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Cloudera

JANUARY 27, 2022

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. billion units by 2025, a huge jump from the 13.8 Data Ecosystems Surrounding Insurance. According to Statista , the projected installed base of IOT devices is expected to increase to 30.9

Insurance 82

Insurance IoT Risk Data Processing 82

Ontotext

AUGUST 17, 2023

The use cases span all the things near and dear to most C-level executives’ hearts – driving more revenue, improving operational efficiency, reducing risk, or increasing innovation and agility. If context and relationships between things are important, then graph technologies should be at the center of the solution.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52