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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.

How to use AI to optimize queries and automate resource management

How to use AI to optimize queries and automate resource management

June 19, 2020 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
Follow @IBMData As companies progress on their Journey to AI, there is considerable focus on what needs to be available to build AI driven applications. The rungs of the AI ladder, which are best described as Collect, Organize, Analyze, Infuse, and Modernize are designed to strengthen a company’s...
How AI unites siloed data and reveals the probability of accuracy across insights

How AI unites siloed data and reveals the probability of accuracy across insights

March 31, 2020 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
Two of the greatest challenges faced by organizations today are the rising volume of data and the lack of  confidence to act on the insights this data reveals. Fortunately, there are AI-fueled data management solutions that directly address these two challenges to make data simple and accessible....
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.