Hotwiring Data Science: AIOps and the Evolution of DevOps for Big Data

In today’s organizations, CxOs are challenged to realize the value of artificial intelligence (AI), as well as to achieve a positive return on investments made in AI and an AI approach known as machine learning (ML). 

Business sponsors are struggling to reimagine their applications and services in an AI/ML world. At the same time, product development teams are finding themselves ill-equipped to consume and integrate the new models into existing applications, while data scientists, constrained by unsuitable infrastructures, are spending more time sorting out the data infrastructure than writing new models and delivering value back to their organizations.

Author: Bart Driscoll

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