Breakout Session: DataOps for digital twins

First mentioned in early 2000, in the context of the manufacturing domain, the Digital Twins (DT) concept is gaining wider acceptance today as the definite next step in leveraging data as both a strategic and tactical asset. Real-time data is the key requirement for continuously improving and highly sustainable DT applications. This has been made possible largely by the recent advances in data and computing – including but not limited to, performant data pipelines, big data architectures, data management, cloud-based as-a-service models, artificial intelligence, and advanced analytics (predictive and prescriptive). This advent of analytics and numerical simulations in the operational and monitoring phase of a product lifecycle reinforces the need for trusted real-time data. 

This talk will focus on how data management plays a critical role in the core functions of DTs and helps refine the quality of the data assets. The trust and quality of the data need to be maintained and tracked over time by establishing data governance policies and processes. The need for scalable solutions will be stressed – to be specific, the accelerating need for any organization to include a data catalog with automated metadata management as well as lineage for dependency analysis as part of its data strategy.


Pragyansmita Nayak

Chief Data Scientist


What is the cost to attend and watch the virtual sessions?

Data Team Summit is always free and open for all to attend.

What is Data Teams Summit?

This year, we've taken the peer-to-peer empowerment of data teams one step further and formally transformed DataOps Unleashed into Data Teams Summit to better reflect our focus on the teams and individuals running, managing, and monitoring data pipelines.

Data Teams Summit is an annual, full-day virtual conference, led by data rockstars at future-forward organizations about how they're establishing predictability, increasing reliability, and creating economic efficiencies with their data pipelines.

We'll be back again in 2024 and look forward to another round of data team focused conversations.

Who comes to Data Teams Summit?

Data professionals and experts including data engineers, administrators, architects, analysts, AI/ML professionals, and relevant data technology leadership.

Join us for sessions on:

  • Data teams & best practices
  • Data pipelines & applications
  • DataOps observability
  • Data quality & data governance
  • Operations observability
  • MLOps
  • Data modernization & architecture
  • Biz/FinOps observability

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