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.
Read more →The latest Effectual news, updates, and articles.
“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.
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I’ve found that the greatest benefits are realized when an enterprise and their provider partner together on the solution.
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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.
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The growth of cloud adoption in this sector is driven by a simple truth: Financial services are being transformed by the cloud.
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The successful adoption of DevOps is about much more than accepting a new methodology – it means embracing a new culture.
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Knowing the source of interdepartmental tension isn’t enough.
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One of the most difficult challenges facing businesses today is bridging the “Skills Gap” in IT.
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Tension. It can be uncomfortable, disconcerting, even a bit scary.
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I recently spoke with a good friend of mine who is a Finance SVP with a publicly traded North American manufacturer.
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21st Century IT is a revolution – not an evolution of what we have been doing for decades. The skills required to transform through this revolution are different than those required to operate the existing state, which are different still from those required to operate the new state.
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We’ve started using a phrase in my office that encompasses all of the various migrations, reorganizations and modernization trends going on in IT departments today: “21st century IT transformation.”
Read more →Enterprises and public sector organizations trust Effectual to migrate and modernize cloud environments, accelerate AI initiatives, and execute complex migrations.
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