Our Responsible AI Principles

Enabling AI Governance with Responsibility

Overview

Today, about 90% of organizations battle ethical issues with AI usage. At Centillion Labs, we believe in delivering AI solutions that ensure safety, security, and social equity for all stakeholders. Learn how we conscientiously balance intent and impact in our value-driven Responsible AI approach.
Centillion Labs offers a sentient framework for building AI applications that addresses ethical concerns across the AI adoption process. We enable organizations to innovate, improve, and successfully deploy solutions while staying compliant with the key facets of Responsible AI.


What is Responsible AI?


The practice of building and deploying ethical and socially responsible AI solutions that generate positive impacts on society, through transparency, accountability, fairness, security, and respect for human rights.



Why do we need it?


By building AI solutions that uphold racial, communal, and individual integrity, we can ensure a safer environment for all.



How do we do it?


Our AI development process is built on eight fundamental facets of Responsible AI that enables us to develop human-centric and ethically accountable solutions.

Advanced Analytics

Everyone is building a Data Lake these days, if they already don't have one. Funnily enough, the Data Lake means different things to different organizations - from data lakes deployed on self managed Hadoop clusters to Object stores like GCS, S3 & Azure Blob storage to MPP data warehouses like BigQuery, RedShift, Snowflake masquerading as Data Lakes.
We have worked with all of the above. We helped numerous customers build a Data Lake from scratch - ingesting real time, batch, relational and unstructured data from multiple sources, enable advanced analytics using BigQuery, RedShift, EMR, DataProc, Jupyter, Databricks etc. We have also helped customers migrate from Cloudera / HortonWorks to DataProc / EMR.
If you are working on any advanced analytics requirements, talk to us!