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Kevin Oliver
Portfolio Marketing Manager, Hybrid Data Management, IBM

Kevin Oliver is the Portfolio Marketing Manager for IBM Hybrid Data Management.  Prior work includes product marketing at Dell EMC responsible for a range of data center products as well as M&A marketing integration. Additional previous work experience includes Asia marketing management for National Instruments and Asia developer relations marketing for Intel.

Transforming data management procurement into a fun practice

Transforming data management procurement into a fun practice

January 15, 2020 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
Let’s be honest: no one wakes up in the morning excited to go through a procurement process. This reaction can be particularly true where data management is concerned. When quick responses to market changes are necessary, it’s essential to be able to adjust your architecture rapidly without...
Components of a Modern Data Platform Ready for the AI Future

Components of a modern data platform ready for the AI future

January 8, 2020 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
How to build a modern data management platform ready for the AI future Every data architect knows the value of keeping their data management platform up-to-date and ready for the next phase. Yet how to put this into practice is not always clear. With many businesses embarking on their journey to AI...
See where you land on 451 Research's spectrum of AI use cases for data management

See where you land on 451 Research's spectrum of AI use cases for data management

September 24, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
68 percent of surveyed businesses recently responded that they use machine learning (ML) or plan to do so in the next three years. AI technologies rapidly are becoming how businesses distinguish themselves from competitors. But choosing the best way to implement AI isn’t always a straightforward...
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...
Why analysts are hailing Db2 11.5 as the database for AI

Why analysts are hailing Db2 11.5 as the database for AI

June 20, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
Learn why analysts and journalists hail Db2 11.5 has already as “a major upgrade” and as the AI database.
It’s a multicloud world, so we’re bringing Db2 to your AWS data

It’s a multicloud world, so we’re bringing Db2 to your AWS data

April 2, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
If your business hasn’t already embraced a multiple-cloud strategy, it’s likely that one is in your near future. Recent research shows that 85 percent of companies already operate in multicloud environments, and 98 percent of companies plan to be multicloud by 2021. While cloud-based platforms...
The vision for Db2 and other announcements from Think 2019

The vision for Db2 and other announcements from Think 2019

February 21, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
At the Think 2019 conference, IBM hosted a plethora of data-management-focused sessions with several announcements that will undoubtedly impact the data management strategy of many businesses.
IBM embraces multicloud warehouse availability on AWS, adds elastic SMP

IBM embraces multicloud warehouse availability on AWS, adds elastic SMP

February 14, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
The focus on customer needs for greater choice and flexibility is a constant at the IBM Think 2019 conference. Nowhere is this more evident than in IBM Hybrid Data Management, which supports data of any type, source and structure, be it on-premises or in the cloud.