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Data Engineering

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Putting lipstick on a Pig: The Perils of a Bad Data Strategy in Digital Transformation

Data is often touted as the cornerstone of success in the quest for digital transformation. Companies rush to harness its potential, envisioning data-driven decisions and streamlined operations.

Data Engineering

How Generative A.I Can Revolutionize Wealth Management

Over the last decade or so, we’ve seen huge advancements in modern technology. Lately, A.I or ‘artificial intelligence’ is most certainly the buzzword of the day.

Data Engineering

eBlocks and an Insurance Leader Transform Regulatory Reporting Through Automation

Regulatory reporting is becoming an increasingly mundane task, and fragmented data systems can make it daunting.

Data Engineering

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AI First Delivery

Running delivery itself with AI: requirements, commitments, evidence and audit trail end to end.

AI First Transformation

Embedding AI into your software development lifecycle

Insights on DevSecOps: embedding security into every stage of software delivery, from pipeline automation to developer enablement and compliance.

Expert articles on cybersecurity, POPIA and GDPR compliance, and building secure, resilient enterprise systems.

Perspectives on technology strategy, digital transformation, and aligning IT investment with measurable business outcomes.

Insights on digital products, platforms, and customer experiences that help organisations innovate and grow.

Discover how we design, deploy, monitor, and maintain ML models in production.

Agile Transformation

Discover how Scrum, Kanban and other Agile methodologies can improve productivity, communication and customer satisfaction.

Learn how to migrate your applications to the cloud, manage and secure your data and infrastructure, and take advantage of the scalability and cost-effectiveness of cloud services.

Culture and Teams

Learn how we create a positive and productive work environment, foster collaboration and innovation, and attract and retain top talent.

Experience Design

Learn how to design and develop products that meet customer needs, gather customer feedback, and measure and improve customer satisfaction.

Machine Learning

Discover how we preprocess data, choose and train models, evaluate performance, and more.