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Data Engineering

Data engineering services for maximum AI and data power

To harness the full potential of data across the enterprise, you need a modern, agile ecosystem powered by cloud and AI technologies. Becoming a data-driven organization equips you with insightful analytics for quicker, informed decision-making, to adapt to your evolving business needs. Ready to modernize your enterprise with data engineering services?

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data engineering services & data engineering projects

Get enterprise-fit and 
future-ready

Creating modern data architectures means not only addressing current demands, but also scaling and adapting for the future. We help you navigate the complexities of data so that your data engineering practices, governance, and capabilities align seamlessly with your evolving business needs—enabling you to uncover and explore new opportunities, while mitigating risks and constraints. Our data engineering services empower you to harness advanced analytics, machine learning, and AI to create a future-proof data ecosystem.

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Services & Solutions

Data Modernization

Update and improve your organization’s data-related technologies, practices, and infrastructure to align with current and future business needs, including AI use cases, enhancing data accessibility, quality, security, and analytics capabilities.

Pipeline Engineering

Streamline data workflows, ensuring quality and security, accelerating delivery of data-driven insights to support decision-making, by combining data management, integration, quality, and governance with DevOps principles.

AI Data Readiness

Overcome data challenges related to AI and generative AI deployments, ensuring your data is gathered, organized, and flowing in a way that works efficiently and effectively with LLMs and other types of AI.
data engineering services & data engineering projects
intelligent transformation & digital transformation tools

Featured Insight

The Intelligent Transformation Toolkit

Discover how AI can empower you to transform customer, employee, and user experiences into a cohesive strategy and power a world that works.

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Información destacada

Liderazgo de pensamiento e investigación para servir de inspiración a experiencias innovadoras

Harnessing AI with Behavioral Science

Blog

Harnessing AI with Behavioral Science

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AI Governance in Customer Experience: First Steps & Best Practices

Blog

AI Governance in Customer Experience: First Steps & Best Practices

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Why You Need the Right Data and Analytics Experts

Blog

Why You Need the Right Data and Analytics Experts

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Insights to Outcomes: Degree of Difficulty

Blog

Insights to Outcomes: Degree of Difficulty

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Frequently Asked Questions

Becoming a data-driven organization involves using data engineering services to create a modern, agile data ecosystem. This empowers businesses with insightful analytics, allowing for quicker, informed decision-making that adapts to evolving business needs.
Data engineering services prepare businesses for AI by overcoming challenges related to AI and generative AI deployments, ensuring data is efficiently organized and flows seamlessly to support AI technologies like LLMs.
Data modernization in data engineering includes updating technologies, practices, and infrastructure for enhanced accessibility, quality, and security. This process aligns organizational data needs with current and future business requirements, including those related to AI applications.
Pipeline engineering, a key facet of data engineering, streamlines data workflows by enhancing data management, integration, quality, and governance. This accelerates the delivery of data-driven insights, essential for timely and informed decision-making.

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