Analyze: Build and scale AI
Postal services could avoid this seasonal complaint with data and AI
“The IBM Data Science and AI Elite team showed that PostNord can predict non-deliveries of ...
by Umit Mert Cakmak
Organize: Business-ready analytics
What is DataOps?
Most businesses collect data but are unable to use it to generate business value or deliver insights in a timely fashion. Data volume and data types continue to grow, as do the different types of data citizens—ranging from business users to data ...
by Sara Quoma
Modernize: Cloud-ready data
Implementing DataOps across a banking enterprise
Imagine a day in the life of Sarah, a hypothetical Chief Data Officer at a major bank in South Africa. There are many expectations on her shoulders. She struggles to deliver business-ready data to fuel her organization and support the decision ...
by Karen Madera
Components of the DataOps toolchain and best practices to make it successful
High-quality data is the core requirement for any successful, business-critical analytics project. ...
by Ritesh Gupta
The difference between DataOps and DevOps and other emerging technology practices
The expectation to achieve faster results continues to rise. Businesses everywhere are looking for ...
6 steps to start your DataOps practice
DataOps is the orchestration of people, process, and technology to accelerate the quick delivery of high-quality data to data citizens. When done right, DataOps creates business value because users know what data they have, can trust the quality ...
by Julie Lockner
IBM Cloud Pak for Data partners with tech innovators
The IBM Cloud Pak for Data ecosystem of technology partners is growing. As an open, Kubernetes-based, data and AI platform, our platform integrates with an array of tech solutions that enhance what we do to help companies make their data AI-ready. ...
by Pearl Chen
Feed your data lake with change data capture for real-time integration and analytics
Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a ...
by Bharath Chari