Blogs

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, Product Marketing Manager, Unified Governance and Integration, 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...
IBM Cloud Pak for Data partners with tech innovators

IBM Cloud Pak for Data partners with tech innovators

December 10, 2019 | by Pearl Chen, Content Marketer, IBM Cloud Pak for Data, IBM
At IBM Cloud Pak for Data, we’ve got a growing ecosystem of technology partners. As an open, Kubernetes-based, data and AI platform, we integrate with an array of tech solutions that enhance what we do to help companies make their data AI-ready. From stepping up data security to empowering...
This beautiful future depends on data and AI

This beautiful future depends on data and AI

A Danish festival raises the bar by combining sales data, music schedules and weather to reduce wasted stock

December 3, 2019 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
With its electro-light tulip garden, disco ball-adorned trees and no stone-left-unturned music lineup, "Denmark’s Most Beautiful Festival" aims to surpass guests’ expectations on safety, comfort and entertainment, from its uncannily clean bathrooms down to its whimsical camp-in-a-beer-can glamping...
Five questions to help plan your multicloud digital transformation

Five questions to help plan your multicloud digital transformation

December 3, 2019 | by Lauren Moran, Hybrid Data Management Product Marketing Manager
More companies are choosing to implement multicloud platforms that include software as a service (SaaS) due to the many opportunities, advantages, and benefits they provide. However, a recent ISG report, “Multi-Cloud Adoption Accelerates,” notes that a lack of proper planning could introduce...
Unpacking Gartner’s assessment of IBM in the 2019 Magic Quadrant for Operational DBMS

Unpacking Gartner’s assessment of IBM in the 2019 Magic Quadrant for Operational DBMS

November 26, 2019 | by Matthias Funke, Director Hybrid Data Management, IBM Analytics
With the publication of Gartner’s 2019 Magic Quadrant (MQ) for Operational Database Management Systems, we were happy to see recognition of some of our key efforts from the past year. The integration of the Db2 common SQL engine and other rich features, edition simplification, commitment to...
Without data, the journey to AI is like a trek through the desert, sans compass

Without data, the journey to AI is like a trek through the desert, sans compass

November 25, 2019 | by Susara Van den Heever, Executive Decision Scientist & Data Science Elite program director for Europe, Middle East & Africa, IBM
James Fisher & Sons had hearty ambitions to build predictive maintenance capabilities for its customers' subsea cables -- but lacked the right data to do so. In a creative pivot, the IBM Data Science and AI Elite team delivered more than what the heritage engineering company bartered for --...