Data/AI Ops
demystified
Data/ AI Ops is not DevOps applied to data. It is a significantly different and complex process with a myriad of tools, technologies, platforms, processes, and skill sets required to deliver rapid value that is accurate and actionable from your Data Analytics program. Further, introducing rapid production changes to data and related structures can produce a wide impact on the enterprise data ecosystem. Integrating your analytics outputs to the customer touchpoints and back-office business processes can significantly increase the value. This means that the Data/AI Ops program needs full alignment with your DevOps program.
Sounds complex? It is! We can help you with the process, tools, and skill sets to generate value faster from your data.
Data
Engineer
Quality
Engineer
Ops
Engineer
Data
Analyst
Data
Scientist
Analytics
Translator
Comprehensive solutions and services include:
Custom services and solutions built specifically for your business
Platform
Auradigm’s ‘Xplora.ai’ platform brings people and processes that fall into the six major skill set categories for successfully implementing Data/AI Ops. Further, we help with designing the overall ecosystem with data stores, analytic sandboxes, and data pipelines.
Process
We help define the optimal Data/AI Ops processes and adapt them to your organization. The process streams include data engineering, AI-based data quality, visualization, AI-based storytelling, and operations.
Skills and Tools
Our platform lets you use the existing tools sets your organization owns. We help you add/replace tools where you have a gap in functionality. We help you align your workforce for the effective use of tools to bring agility to your analytics processes.
