Blogs

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...
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, Portfolio Product Marketing Manager, DataOps, 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...
Winning in retail with IBM Watson Knowledge Catalog

Winning in retail with IBM Watson Knowledge Catalog

November 1, 2019 | by Susanna Tai, Offering Manager, Watson Knowledge Catalog, IBM
From reading the news headlines of yet another retail chain closing its stores, one can easily be left with the impression that we’re in a retail apocalypse. But in reality, the overall retail industry is very strong and healthy—especially online. What we’re witnessing however, is a transformation...
3 tips to successfully enhance collaboration between IT and the rest of the business

3 tips to successfully enhance collaboration between IT and the rest of the business

October 28, 2019 | by Karen Madera, Portfolio Product Marketing Manager, DataOps, IBM
The conversation around data preparation has been evolving. What started as a push for self-service access for specific use cases has now expanded to operationalizing a data pipeline across the enterprise. The goal is to create efficiencies and eliminate workflow silos to propel data strategy...
Cloud Pak for Data:  The developer’s journey in a data and AI platform

Cloud Pak for Data: The Developer’s journey in a data and AI platform

October 24, 2019 | by Clarinda Mascarenhas, Offering Manager, Cloud Pak for Data, IBM
This unified end-to-end platform, Cloud Pak for Data, delivers these data and AI capabilities as container-based microservices that help to power new and existing enterprise applications to run on cloud or on-premises. The platform makes it easy to implement data-driven processes and operations and...
How to build smarter data integration in a multicloud world

How to build smarter data integration in a multicloud world

October 11, 2019 | by Bharath Chari, WW Product Portfolio Marketing Manager, IBM Data Integration & Data Replication
Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges: Data sprawl: Your customer data is currently on multiple clouds, including on-premises and a cloud data lake storage...
IDC report names IBM the #1 market leader in AI

IDC report names IBM the #1 market leader in AI

October 8, 2019 | by Thomas LaMonte, Content Marketing Director, IBM Data and AI, IBM
Among organizations investing in AI hardware, software or services, more will buy IBM and rely on Watson than any other vendor. This according to a new IDC report which names IBM as 2018’s market leader in AI. So just what sets apart IBM as leader of the AI provider pack?