Blogs

3 ways a data catalog can help optimize your business

3 ways a data catalog can help optimize your business

September 13, 2019 | by Andres Avalos, Senior Offering Manager, IBM Watson Knowledge Catalog, IBM
The best data catalogs can automate the process to collect, classify and profile data to ensure the highest standards of quality. Here are three popular use cases detailing why companies are moving towards IBM’s Watson Knowledge Catalog.
How to overcome the top 3 AI challenges using data management

How to overcome the top 3 AI challenges using data management

September 9, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
Artificial intelligence and machine learning (ML) have become very popular recently due to their ability to both optimize processes and provide the deep insights that push enterprises and industries forward. In fact, 68 percent of respondents in a recent 451 Research Report, Accelerating AI with...
Accelerating unstructured data compliance with a new approach: sampling

Accelerating unstructured data compliance with a new approach: sampling

September 6, 2019 | by Amir Jaibaji, WW Program Director, Offering Management, Information Governance and eDiscovery, IBM
The initial goal of sampling is to assess where the highest compliance risk areas are within your enterprise. Read the blog to learn how IBM StoredIQ InstaScan accelerates this.
How AI Picks the most exciting moments at the US Open without bias

How AI picks the most exciting moments at the US Open without bias

September 6, 2019 | by Aaron Baughman, Distinguished Engineer and Master Inventor, IBM GBS Interactive, IBM
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis play at the US Open consists of 254 matches in the men’s and women’s singles events totaling tens of thousands of points. During the tournament’s two weeks, many matches...
IDC report names IBM the #1 market leader in AI

IDC report names IBM the #1 market leader in AI

September 5, 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?
How stronger analysis and reporting sets IBM Planning Analytics apart—and drives profitability

How stronger analysis and reporting sets IBM Planning Analytics apart—and drives profitability

September 5, 2019 | by Letha Wicker, IBM Cognos Content Marketing Manager
What differentiates IBM Planning Analytics from other planning solutions? Quite a lot, actually. But today we’d like to focus on the practical, real-world benefits of just two key functions: data analysis and reporting.
Watson Knowledge Catalog Professional for IBM Cloud Pak for Data can create differentiation for your business. Learn how.

Unleash business-ready data to your data citizens

Watson Knowledge Catalog Professional for IBM Cloud Pak for Data can create differentiation for your business. Learn how.

August 30, 2019 | by Elaine Hanley, Program Director, Unified Governance & Integration Platform Offerings, IBM
How much time do your data scientists and business analysts spend looking for the right data? How much time do they spend preparing data? And how much time is wasted because they don’t know how trustworthy the data they find is; they find several people have unknowingly spent time looking for the...
Extracting the lifeblood of AI at ExxonMobil

Extracting the lifeblood of AI at ExxonMobil

August 29, 2019 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Seizing the AI opportunity to tap new sources of energy inspired one ExxonMobil leader to take a collaborative approach to its big data problem. Now she’s been recognized by IBM as a top woman AI leader.
Using data across a hybrid environment to train machine learning models

Using data across a hybrid environment to train machine learning models

Follow these code patterns and connect to on-premises and cloud data for initial model training and continuous learning

August 27, 2019 | by Sue Green, Product Marketing Manager, IBM Data & AI, IBM
Machine learning (ML) is rapidly helping businesses derive better insight and optimize their day-to-day operations. Yet an ML model is only as good as the data used to train and continually improve it. With the majority of enterprise companies already using a hybrid cloud, accessing domain-specific...
Here’s why your business needs product information management

Here’s why your business needs product information management

August 23, 2019 | by Anup Gandhi, Chief Product Architect & Offering Manager, Persistent, an IBM Business Partner
Does your company have a single source of truth for your business’ most important data? Then it’s time to learn why you need to invest in product information management. Product information management (PIM) is a subset of the overarching Master Data Management (MDM) space, and it’s primary use is...

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