Today we’re talking to Steven Davis, the VP of Engineering at Innodata. And we discuss how Innodata enables data scientists to spend more time on data analysis rather than data extraction. Avoiding bias and echo chambers in AI, and tips for meeting the needs of a diverse team as a manager.
All of this, right here, right now, on the Modern CTO Podcast!
Check out our other episode with Innodata’s Chief Product and Marketing Officer, Rahul Singhal
To learn more about Innodata, check them out at https://innodata.com
About Steven Davis:
Steve is the VP of Engineering at Innodata, where he leads the development of AI/ML platforms and products, with a focus on Data for AI and Applied AI geared towards solving customer needs in innovative, effective, and scalable ways. He has significant experience designing and building complex, distributed, big data processing and analytics systems, including cloud ETL architectures, AI/ML services, and web applications for enterprise search, collaboration, and analysis. As a founder of multiple software startups, he has designed and implemented corporate organizational structures, personnel management procedures, and leadership best practices.
Prior to Innodata and data analytics startups, Steve worked at a Federally Funded Research and Development Center (FFRDC) and directly supported an elite U.S. Special Operations Command innovation and fusion cell. In this capacity, he worked directly with all-source, human terrain, geospatial, and other specialized intelligence analysts to rapidly develop tools and techniques to integrate and exploit large volumes of data.
His hallmark in this role was the ability to flexibly develop new technologies to support warfighters in extreme circumstances, deploying new technologies on a vastly accelerated time schedule. During his time with Special Operations, he deployed to Iraq and Afghanistan and received awards from the Defense Intelligence Agency and the National Geospatial-Intelligence Agency for his efforts to integrate systems, implement novel solutions, and support deployed forces.
Steve received a BS with highest distinction in Systems and Information Engineering, and a Master of Science (MS) in Systems and Information Engineering at the University of Virginia.
Innodata (NASDAQ: INOD) is the world’s leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced ML/AI technologies, a global workforce of 3,500 subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of digital data and ubiquitous AI. Our culture of innovation, quality, and service is present in everything we do. We serve publishers, media & information companies, digital retailers, banks, insurance companies, government agencies and many other industries. We take a technology-first approach, applying the most advanced technologies in innovative ways. Founded in 1988, we comprise a team of 5,000 diverse people in 8 countries who are fiercely dedicated to delivering services and solutions that help the world make better decisions.