Resources

Webinars

Insights and best practices for unraveling the complexities of digital data

On Optimizing AI In Data Modeling With Humans-In-The-Loop

Without human expertise, machines are simply pieces of metal. Machine learning itself implies the need to be taught. Likewise, with AI, it cannot do anything of its own volition without being programmed and taught with human expertise. Innodata’s CPO, Rahul Singhal, joins The AI for Sales Podcast to discuss how “Humans-in-the-Loop” can help optimize any AI venture.
Panel Discussion

The Rise of Enterprise AI Platforms

With more AI use cases across industries than can be counted, it is clear that AI models have and will continue to cause lasting change across organizations. However, the successful production-ization of AI models remains a challenging process. This panel features technical leaders within the data science groups at enterprise companies who discuss best practices for the operations surrounding AI production.
Panel Discussion

Modern CTO Podcast With Steven Davis

Innodata's VP of Engineering, Steven Davis, sat down with Adam Sage of the Modern CTO podcast, the #1 leadership and tech podcast in the world. Listen in to learn Steven's insights on mitigating bias and echo chambers in AI, meeting the needs of a diverse team, Innodata's new data annotation platform, and more.
Podcast

Modern CTO Podcast With Rahul Singhal

Innodata’s Chief Product and Marketing Officer Sat Down with Adam Sage, of the Modern CTO Podcast, the #1 Leadership and Tech Podcast in the World. Listen In to Learn About Innodata’s New, Cutting-Edge AI Annotation Platform and How Important It Is to Keep a Data-Centric Approach to Model Development. 
Podcast

Applied AI For Finance

Explore how AI can be leveraged to yield value from unstructured data within Financial Documents. This discussion will uncover both the risk factors and the great potential associated with applying AI to financial industry use cases.
Webinar

Bogged Down by Annotation

Artificial Intelligence is only as smart as the data its fed. While it’s not always easy to turn raw data into smart data, high-quality data annotation performed by experts provides structure to data that is otherwise just noise to a supervised learning algorithm. Listen in as Chief Product & Marketing Officer Rahul Singhal explains.
Webinar

The Art & Science of Data Annotation

Innodata and Société Generale’s Lourenco Miranda discuss how to prepare data for machine learning.
Webinar

Your company’s Artificial Intelligence project will fail if you don’t do this...

An interview with Rahul Singhal, the Chief Product and Marketing Leader for Innodata at the Open Data Science Conference. C-suite leaders are becoming increasingly frustrated that many of their Artificial Intelligence projects are failing. There is strong evidence that one of the core factors contributing to this high failure rate is poor data annotation. Rahul explains the issue.
Podcast

Smart Data for AI: Everyday Cases for the Advanced Business

With the expansion of essential AI systems, new uses for smart and clean data to accelerate business have been surging. This episode will dive into use cases that some of the most advanced businesses are uncovering to stay ahead of the competition.
Webinar

Meet an Expert

Our Team of Data Experts

Our team is comprised of data experts, with years of developing strategies that enables companies to manage and distribute data using AI-based solutions. Book a time that works for you and let us help develop a custom solution for your unique needs.

(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.

Contact

© 2023 All rights reserved

Your company’s Artificial Intelligence project will fail if you don’t do this

An interview with Rahul Singhal, the Chief Product and Marketing Leader for Innodata at the Open Data Science Conference. C-suite leaders are becoming increasingly frustrated that many of their Artificial Intelligence projects are failing. There is strong evidence that one of the core factors contributing to this high failure rate is poor data annotation. Rahul explains the issue.

Innodata's Chief Product Officer, Rahul Singhal

Rahul Singhal- Chief Product & Marketing Officer

As Chief Product Officer at Innodata, Rahul drives the innovation behind the leading Ai-based platforms that handle end-to-end data solutioning for some of the largest companies in the world. 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, Rahul 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. Rahul is also an Adjunct professor at New York University (NYU) where he teaches Competitive Strategy and Advanced Experimental Design and Machine Learning.