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Two-Pot Retirement System: An opportunity to rethink your modernization strategy
The two-pot retirement system splits retirement savings into an accessible pot for emergencies during working years and a preservation pot for post-retirement security. As businesses prepare for this system, they must assess their readiness and modernize outdated technology to manage its complexities.
Strategy
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DevSecOps: Building a Culture of Security from Day One
Eblocks delves into the evolving landscape of DevSecOps, highlighting critical insights into integrating security into DevOps practices and the challenges and opportunities this presents.
Security
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Putting lipstick on a Pig: The Perils of a Bad Data Strategy in Digital Transformation
Common pitfalls include unclear objectives, leading to wasted efforts; poor data quality, resulting in inaccurate insights; and data silos, hindering collaboration.
Data Engineering
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DevSecOps Adoption: Navigating the Complexities of Security, Ethics, and Privacy
In the fast-paced realm of technology, DevSecOps adoption is crucial for addressing security, ethics, and privacy challenges. This article explores the complex landscape of hostile tech.
Security
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Modernization : How to gain an advantage in insurance
Insurance companies can achieve significant gains by modernizing their core IT systems, but the best approach depends on various factors.
Cloud Adoption
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How Generative A.I Can Revolutionize Wealth Management
How Generative A.I Can Revolutionize Wealth Management
Strategy
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The Future of Software Maintenance: Guidelines To A Proactive Approach
Pioneer the path to leveraging modern technology, and addressing technical debt, and prioritize quality.
Agile Transformation
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Eblocks Partners with Alphazetta to launch Data Analytics and Data Engineering Academy (EDEDA)
We are helping existing analytics professionals make the transition.
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Eblocks Helps Major Bank deliver an Enterprise Metadata Solution
Practical delivery of data management requirements requires a rethink of traditional approaches, here is how we've done it.
Machine Learning
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