Ron Itelman is co-founder of IntelligenceAI, and has significant expertise in designing collaborative intelligence systems at the intersection of AI, cognitive psychology, data, and design.
Ron is co-author of the O'Reilly book "Unifying Business, Data, and Code".
Juan Cruz Viotti is co-founder of Intelligence.AI, and his award-winning research at the University of Oxford beat 40 years of benchmark records in data serialization.
Juan is co-author of the O'Reilly book "Unifying Business, Data, and Code".
Stanley is a mathematician and machine learning scientist specializing in bioinformatics and scientific computing.
His work at Stanford Medicine, University of Washington, and UC San Diego focuses on health, rare illness, and medicine discovery.
Unifying Business, Data, and Code guides you through the process of identifying poor data hygiene and the root causes of misalignment that it leads to within your organization.
Unifying is our playbook to guide your organization's innovation and transformation efforts with an intelligent systems design approach.
Ron was working on a methodology based on synchronization between business and data teams. While he felt he could complete the business and business to data translation portion of the methodology, he wanted to partner with an expert who could help formalize the methodology into an open specification, in order to standardize the implementation.
He wanted to formalize a data format that would resolve the biggest complaints he heard, but there are many ways to do it, and designing specifications that are robust and sustain the tests of time is hard.
Luckily, he met Juan Cruz Viotti, who instantly got the value proposition, and began providing incredibly valuable insights and feedback into defining the problem and ways to address it. Juan Cruz Viotti's exceptional background and expertise in JSON Schema made him uniquely positioned to support how to refine the Unifying methodology, and formalize ways to implement it technically.
Together, Ron & Juan began regularly spending time on this problem, which eventually led to Juan joining the Unifying Business, Data, and Code book as a co-author. Their partnership created the perfect environment to put the finishing touches on the Unifying methodology, and their book was published by O'Reilly Media in 2024.
Having a methodology and roadmap for technical implementation ready to go, Ron and Juan formed Intelligence.AI, initially focusing on consulting services in data product evangelism and the Unifying methodology.
Enterprise Data Catalog companies, like Zeenea, began adopting Unifying as a standard for how customers can design and use data products out of the box.
Because of Juan's extensive background in JSON Schema, they began working on a platform, called the Intelligence.AI Studio, which aims to help individuals with data and schema management, as well as creating educational user experiences that maximize the quality and value of data.
After working on a public case study for Stanford University's School of Medicine Lab, Research to the People, on Collaborative Intelligence for Rare Diseases, Ron and Juan met Stanley, the Machine Learning Architect, whose extensive work on LLMs and ML Ops were a fantastic fit.
Together, Ron, Juan, and Stan are passionately developing open science and open source technologies to help organizations with their most valuable asset: the knowledge that is shared between their people, processes, and technologies.
We look forward to making the world better, in the best way we can, and look forward to partnering with you.
Before data comes into the picture, we need to ensure that our North Star and measures of success are defined and understood.
Our interactive workshops quickly get people on the same page, in order to understand how various perspectives of problems can be aligned and leveraged.
By working directly with stakeholders, their voice and expertise is captured in designing unified approaches to your specific business challenges.
Our direct involvement with the JSON Schema specification means we bring high-quality expertise to to enforce structure and cleanliness in your data. By defining clear rules and validations, we ensure that your data is not only well-organized but also maintains the highest level of hygiene, critical for seamless operations.
Intelligence.AI doesn't just compress data; we optimize it with hygiene in mind. Our approach maintains the cleanliness and structure of your data, ensuring that even in its most compact form, your data remains pure and actionable.
Use the same approaches to organize your data and knowledge for AI that are used in premiere universities and research labs.
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