XOPs and How to Quickly Demonstrate Business Value in Your Organization


52% of data professionals claim they have trouble demonstrating the impact data science has in business outcomes according to techrepublic.com. The main problems data professionals encounter to deliver value are a) Infra and architecture b) Company Culture. The question is then how infrastructure and culture have evolved to meet today's needs and how they can help data practitioners be more effective.

With a new concept in infrastructure and Architecture called XOps( BizOps, MarketingOps, DevOps, AIOps, MLOps, DataOps) companies can focus on data integration, data version, model version and deployment in a cross-functional and agile environment if culture is added into the equation as well.

In this talk we will cover:

What are the main challenges Data Scientists face to demonstrate value.

A quick introduction to Agile methodologies.

The life cycle of a Data Science team: Team maturity and growth.

How organizational structures impact a Data Scientists job.

How XOPs is changing data science.


I am a believer in AI Augmentation: technology built to empower rather than replace human ingenuity. I started my career in the Advertising industry at Leo Burnett Chicago and as a Planning Director at JWT Colombia. After finishing my MBA I founded Gran Comunicaciones, one of the top 20 digital and web development companies in South America. After spending over a decade in the Ad industry and experiencing first hand the challenges & opportunities for marketers and brands in a fast paced digital world, and pursuing my Master’s in Software Engineering at Harvard, I decided to combine my professional experience, my educational background, and passion for tech to build the solution that would allow collaboration between OPs and Business Units.

Open Data Science




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