Today we are talking to Rahul Singhal, the Chief Product and Marketing Officer at Innodata. And we discuss how most AI projects fail because of a lack of clean data. How Innodata provides pristine training data for AI algorithms, and why it’s important for managers to lead by example and give back to the community as much as possible.
All of this, right here, right now, on the Modern CTO Podcast!
To learn more about Innodata, check them out at https://innodata.com
As Innodata’s Chief Product and Marketing Officer, Rahul drives overall product vision, strategy and marketing to position Innodata as a leading AI/ML vendor. His teams build platforms that are productionizing AI for the future. Taking data annotation services to new heights, Rahul secured Innodata as a Gartner Cool Vendor and also speaks regularly on expert panels and podcasts.
Prior to joining Innodata, he was Chief Product Officer at Equals 3, an AI marketing platform which won several accolades including Gartner Cool Vendor, CES Top 5, and IBM Watson ISV award. Before Equals 3, he spent 12 years at IBM, the last three of which he spent leading the product portfolio for the Watson Platform which included a collection of APIs for vision, speech, data and language. During his tenure at Watson, he grew usage of the services by over 100X and launched over 15 new services.
Prior to Watson, Rahul was a member of IBM’s Strategy and Transformation Practice. Mr. Singhal is also an Adjunct professor at New York University (NYU) where he teaches Competitive Strategy and Advanced Experimental Design and Machine Learning. He lives in New Jersey with his wife and two children and enjoys swimming, playing tennis and reading.
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.