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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 --...
Build cognitive solutions with Financial Services Workbench and Cloud Pak for Data

Build cognitive solutions with Financial Services Workbench and Cloud Pak for Data

November 25, 2019 | by Shikha Garg, Offering Manager at IBM Cloud Pak for Data, IBM
The future of banking is transforming. From changing customer behavior and expectations, rapid innovation in digital technology, burgeoning regulatory requirements, and the macroeconomic environment, the very definition of financial services is changing. For banks to stay relevant, they need to...
Feed your DataLake with Change Data Capture for real-time integration and analytics

Feed your data lake with change data capture for real-time integration and analytics

November 22, 2019 | by Bharath Chari, WW Product Portfolio Marketing Manager, IBM Data Integration & Data Replication
Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a few challenges to contend with. His business units had a presence in 180 countries worldwide with geographically-dispersed data warehouses and business intelligence applications in various locations....
IBM Cloud Pak for Data ready to support DataOps’ practices

IBM Cloud Pak for Data ready to support DataOps’ practices

November 22, 2019 | by Karen Madera, Product Marketing Manager, Unified Governance and Integration, IBM
The number of business segments requiring data to drive contextual insights is increasing. Leaders are seeking new ways to manage the pressures of delivering high-quality data faster across their  businesses. To date, many of these projects have focused solely on ingesting data into a data lake...
IBM and James Fisher visualize a renewable future

A picture worth a thousand volts

November 22, 2019 | by Thomas LaMonte, Content Marketing Director, IBM Data and AI, IBM
Learn how marine solution provider James Fisher and Sons plc and the IBM Data Science and AI Elite team surge towards a renewable tomorrow with the electrifying power of data visualization built on IBM Watson Studio.

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