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Data for AI

Thorro LLC, a boutique Data consulting firm based in New Jersey, helps enterprises leverage their Data to the fullest extent.

How can an organization increase its data maturity?

By ensuring a clear strategy, leadership support, and relentless execution. Specific areas in which we support organizations include: data strategy, publishing data for AI, execution support and capability building.

Data Strategy

Set enterprise wide and LOB specific data strategy for AI and machine learning

Publishing Data for AI

Evaluate, prioritize and publish data for AI/ML

Execution Support

Act as a change agent in execution of data initiatives  

Capability Building

Help build data capability and skills 

Cutting edge expertise to shape your Data Strategy

We help you layout how to manage, utilize, and derive value from your data assets to achieve business objectives. This involves defining the principles, policies, procedures, and technologies necessary to ensure that data is collected, stored, processed, analyzed, and governed effectively and efficiently across the entire organization. Learn more about enterprise data strategy 

Helping you publish Data that can maximize how you leverage AI and ML

Data optimization for AI involves structuring data in a way that maximizes its utility for training and deploying AI/ML models in production. Some considerations include: Data standardization, Machine understandability, Data enrichment, Data lineage, and Data availabilty.

Neurotechnology
Teamwork in the office

Execution Support

Execution support includes defining data standards, defining processes to measure and track against these standards (including data quality), change management, stakeholder engagement, and program management for execution support.

Data Capability Building

We help build data capabilities in your organization through in person bootcamps, and online live trainings. Our curriculum includes most aspects related to Data for AI - Data standardization, Machine understandability, Data enrichment, Data lineage, and Data availability.

Business Meeting 2
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