Next Up: Machine Learning on AWS
A look back at Amazon Machine Learning and the AWS re:Invent 2018 announcements, including Lake Formation and Textract, that expanded ML's reach into data lakes and document processing.
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11 AWS Snowball Planning Considerations
Data transfer/migration is a key consideration in any organization’s decision to move into the cloud.
Amazon Web Service as a Data Lake
“Cloud,” “Machine Learning,” “Serverless,” “DevOps,” – technical terms utilized as buzzwords by marketing to get people excited, interested, and invested in the world of cloud architecture.
The Right Partner is Better than a Crystal Ball
I’ve found that the greatest benefits are realized when an enterprise and their provider partner together on the solution.
The Reality of the Cloud and Company Culture for Financial Services – Part 2
Preparing your teams for potentially radical culture changes are especially critical for financial services organizations, which have historically been hesitant to adopt new and innovative technologies due to the heavily regulated nature of the FinServ industry.
The Reality of the Cloud for Financial Services – Part 1
The growth of cloud adoption in this sector is driven by a simple truth: Financial services are being transformed by the cloud.
When Best Efforts Aren’t Good Enough
"Have you tried rebooting it?"
Adopting DevOps Methodology
The successful adoption of DevOps is about much more than accepting a new methodology – it means embracing a new culture.
DevOps: Defusing Interdepartmental Tension
Knowing the source of interdepartmental tension isn’t enough.
Bridging the IT Skills Gap
One of the most difficult challenges facing businesses today is bridging the “Skills Gap” in IT.