Blogs

Filter Content

All Content

IBM’s Data Science and AI Elite helps Geisinger break new ground in sepsis care

May 3, 2019 | by Jennifer Clemente, Creative & Editorial Lead, Data & AI, Cloud, IBM
Learn how Geisinger Health System tapped the IBM Data Science and AI Elite team to reduce mortality from sepsis.

Owens-Illinois plans for the future after a successful migration to IBM Db2

May 1, 2019 | by Mike Boros, Product Marketing, Db2 Database, IBM
Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, recently undertook a global migration from Oracle to Db2. Learn more about the migration and its success from O-I executives.
AI everywhere: Modern predictive analytics

AI everywhere: Modern predictive analytics

April 25, 2019 | by Sherry Wynn, Content Marketing Manager, IBM Data Science and AI, IBM
Evolving from departmental, small-group AI projects to an enterprise data science platform can put your business on a path to significant competitive advantage. Those who don’t seize the opportunity risk falling behind the curve. But some might not be sure how to begin. If you’re interested in...
Tackle Customer Churn with SPSS Modeler

Tackle customer churn with SPSS Modeler

April 23, 2019 | by Sherry Wynn, Content Marketing Manager, IBM Data Science and AI, IBM
It's well-established that customer retention is much less expensive than customer acquisition. Therefore, preventing churn is a priority for nearly every company. A vital part of a viable strategy for preventing churn is the effective use of data. Let’s look at the role predictive analytics can...
How workforce planning analytics builds stronger businesses

How workforce planning analytics builds stronger businesses

April 18, 2019 | by Paul Bard, Senior Marketing Writer, IBM
Sophisticated planning analytics can help HR pros act on data-driven insights and inmprove ROI. Learn how.

Modern enterprise performance management for the agile business

April 16, 2019 | by Stephanie Freyer, IBM Planning Analytics Marketing, IBM
Integrated planning unleashes the power of enterprise performance management across your organization to support business and organizational agility. Read why that's critical.
How small and mid-sized businesses can perform big data analytics

How small and mid-sized businesses can perform big data analytics

April 15, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM
Big data doesn’t need to be a daunting challenge for small or midsized business (SMBs). Accessing, storing and exploring big data can be done by businesses of any size. An influx of data from sensors, streaming audio and video log files, web, and social media are increasing the volume, velocity,...

Top 3 themes: winning use cases in data science and AI

April 12, 2019 | by Wennie Allen, Senior Portfolio Marketing Manager, Data Science and AI, IBM
I am working on a project that requires a lot of research on how people are using artificial intelligence (AI) and machine learning (ML) in real-world business cases. While AI and ML are two of the hottest trends in technology, they don’t seem to be proliferating as widely or as quickly as we would...
A new data platform revitalizes a century-old manufacturer

A new data platform revitalizes a century-old manufacturer

April 9, 2019 | by Mike Boros, Product Marketing, Db2 Database, IBM
A company only survives for 115 years by reinventing itself, questioning assumptions, and constantly looking for an edge. Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, used worldwide by many leading food and beverage brands, recently began just such a reinvention....
Why prescriptive analytics and decision optimization are crucial

Why prescriptive analytics and decision optimization are crucial

April 8, 2019 | by Sajan Kuttappa, Product Marketing Manager – IBM Decision Optimization, IBM
Prescriptive analytics helps identify the best course of action that can enable businesses to achieve organizational goals. Although figuring out what you should do is a crucial aspect of business, the value of prescriptive analytics is often missed. There is still an inclination to “go with the...

Pages