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On-demand webinar

Faster AI time to value through responsible AI practices

Best practices at IFF

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How do you deliver impact with AI and ML and cut development time by weeks and even months? By understanding your customer, building trust, and managing risk. Done poorly, governance processes can add delays while doing little to improve safety. However, done effectively, Responsible AI practices can be the secret to faster implementation, adoption, and performance at lower cost and risk.

In this webinar with Dr. Alex Manasson, Data Science Director at International Flavors and Fragrances we will uncover their best practices for managing risk and driving rapid AI development and adoption in the safety-focused world of manufacturing. Some of the topics we will touch on:

  • The AI and ML challenges in the world of manufacturing
  • The benefit of data-centric approaches to AI
  • The relationship between speed, risk, and process change
  • Best practices for responsible and impactful AI projects
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Featured Speakers

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Dr. Alex Manasson

Data Science Director at International Flavors and Fragrances

Alex Manasson is a Data Science Director at IFF. He has over 20 years of experience in research and analytics across Operations, Manufacturing, and R&D. Alex's focus is on leveraging data to drive business value. He is a builder and leader of high-performing data science teams that deliver end-to-end analytical products that drive business growth. Alex holds a PhD from the University of Michigan in Applied Physics.

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Kjell Carlsson

Head of AI Strategy

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Kjell Carlsson is the head of AI strategy at Domino Data Lab where he advises organizations on scaling impact with AI technologies. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research. He has written dozens of reports on AI topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices. He has spoken in countless keynotes, panels, and webinars, and is frequently quoted in the media. Dr. Carlsson is also the host of the Data Science Leaders podcast and received his Ph.D. from Harvard University.

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Who is Domino?

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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