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What are the Fundamentals of a Data Platform?

In the era of AI and analytics, a robust data platform is essential. Watch the video for more information.

Every innovative use case relies on data, making it crucial to establish a strong foundation. Here are the four key components for setting up a successful data platform:

1. Automation for Scalability

Your data platform must be scalable to manage the influx of data, especially from IoT devices. Automation is crucial to adjust to varying data volumes effortlessly.

2. Design for Adoption

As you implement your data platform, new business opportunities will emerge. Ensure your platform can accommodate these without needing a complete overhaul, fostering smooth growth and adaptation.

3. Governance and Security

Access control is vital. Ensure that only authorized individuals, both from a personnel and network perspective, can access the data. This maintains data integrity and security within your organization.

4. Data Ownership

Assign data ownership to various domains within your organization. This responsibility includes ensuring data quality and granularity, enabling efficient data sharing, and avoiding duplication and silos.

By establishing these four pillars, your data platform will be well-equipped for advanced analytics and generative AI use cases, driving innovation and operational efficiency.

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IoT Data & AI Domain Lead - Data & AI Solution Architect

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