Blogs

Postal services could avoid this seasonal complaint with data and AI

Postal services could avoid this seasonal complaint with data and AI

The IBM Data Science and AI Elite team tackles missed deliveries in the Nordics

December 20, 2019 | by Umit Mert Cakmak, Senior Data Scientist, IBM Cloud and Cognitive Software
The IBM Data Science and AI Elite team showed that PostNord can predict non-deliveries of traceable items depending on address, weather condition, sizes and time of delivery. By leveraging AI, it’s possible to reduce non-deliveries by 50 percent annually, beneficial for both customers and PostNord...
Reality and misconceptions about big data analytics, data lakes and the future of AI

Reality and misconceptions about big data analytics, data lakes and the future of AI

December 19, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Cloudera Partnership, IBM
With the amount of choices surrounding big data analytics, data lakes and AI, it can sometimes be difficult to tell fact from fiction. With more than 40% of organizations expecting AI to be a “game changer,” it’s important to have a complete picture of the capabilities and opportunities available.
Implementing DataOps across a banking enterprise

Implementing DataOps across a banking enterprise

December 18, 2019 | by Elaine Hanley, Program Director, Unified Governance & Integration Platform Offerings, IBM
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 makers within the bank. It is her job to put in place a...
6 steps to start your DataOps practice

6 steps to start your DataOps practice

December 18, 2019 | by Julie Lockner, Portfolio Optimization and Offering Management Director, IBM
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 and its meaning, and use it without violating...
Components of the DataOps toolchain and best practices to make it successful

Components of the DataOps toolchain and best practices to make it successful

December 18, 2019 | by Ritesh Gupta, Chief Architect, Data Integration and DataOps Innovations, IBM
High-quality data is the core requirement for any successful, business-critical analytics project. It is the key to unlock and generate business value and deliver insights in a timely fashion. However,  stakeholders across the board are responsible for data delivery, quickly evolving requirements,...
The difference between DataOps and DevOps and other emerging technology practices.

The difference between DataOps and DevOps and other emerging technology practices.

December 18, 2019 | by Karen Madera, Portfolio Product Marketing Manager, DataOps, IBM
The expectation to achieve faster results continues to rise. Businesses everywhere are looking for ways to improve their operational efficiency and effectiveness to enable the best decision-making. The need to optimize typically comes to a head with the reality that there are many silos within any...
What is DataOps?

What is DataOps?

December 18, 2019 | by Julie Lockner, Portfolio Optimization and Offering Management Director, IBM
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 scientists. As a result, data management and delivery...
Why DecisionBrain is taking notice of Watson Studio Premium for Cloud Pak for Data

Why DecisionBrain is taking notice of IBM Watson Studio Premium for Cloud Pak for Data

December 17, 2019 | by Filippo Focacci, Founder and CEO, DecisionBrain
When planning for a day of business, how do you calculate the numerous factors that may affect your bottom-line revenue? For Serco, a company which operates a bike-sharing service throughout London, the answer was in their data.
Why is a data catalog essential in making your data lakes successful?

Why is a data catalog essential to making your data lakes successful?

December 16, 2019 | by Deepthi Nagarajan, WW Product Marketing Manager - Unified Governance and Integration, IBM
All industries—from healthcare to retail to banking—are digitally transforming themselves every day to become more agile and stay competitive. However, all industries depend on data  to be successful, and this impacts the way enterprises plan and execute their operations. Although enterprises have...
3 steps to Effective Data classification for Business-ready Data

3 steps to effective data classification for business-ready data

December 10, 2019 | by Priyanka Jain, Offering Manager, IBM
Global data privacy compliance regulations like the General Data Protection Regulation (GDPR),California Consumer Privacy Act (CCPA) and Brazil’s LGPD have created scrutiny around personal, customer and employee data. This data is growing at a rapid pace, and so are the mandates requiring...