You Can’t do AI with Failed Data Pipelines

In the age of digital transformation, data is the most important asset in driving business and delivering value to customers and stakeholders.

The acceleration of artificial intelligence initiatives, at minimum, requires all components of traditional data pipelines. These pipelines are essential in delivering the advancements we’ve come to associate with AI. Modern organizations are finding that they can rapidly harness the potential of AI and natural language processing to drive innovation when they commit to three critical strategies:

• Choosing a centralized framework for coordinating all data pipelines
• Investing in integrations that map to unique use cases
• Leveraging the power and insight of data lineage

Read on to learn how modern enterprises are successfully operationalizing and scaling AI and ML initiatives, unlocking the full power of Airflow to deliver production-ready AI.