Gabor Melli Public Presentation

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A Gabor Melli Public Presentation is a public presentation delivered by Gabor Melli that shares AI/ML expertise, research findings, or industry insights.


References

2025

2024

  • (Melli, 2024) ⇒ Gabor Melli. (2024). "Pre-requisites for Driving Business Value for Newly AI-Powered Enterprises." In: Chief AI Summit - San Francisco, April 2024.
    • Abstract: Strategic insights on enterprise AI adoption requirements including data readiness, talent acquisition, and governance frameworks necessary for generating tangible business impact.

2023

  • (Melli, 2023) ⇒ Gabor Melli. (2023). “Deploying Effective Machine Learning Models in Production: Two Use Cases." In: Industry Talks Webinar - February 10, 2023​
    • Abstract: Predictive machine learning has the ability to automate and optimize workflows across a wide range of industries. In this session, we will explore real-life examples of how predictive machine learning is being used at Sony Interactive Entertainment (SIE) and Medable. At SIE, we will delve into their scalable, real-time, low-latency predictive ML-based solutions that are implemented on the cloud in order to personalize purchasing and playing experiences. Medable, on the other hand, has implemented an automated, decentralized clinical trials platform on the cloud in order to greatly improve efficiency and accuracy. Throughout this session, we will also discuss the role of machine learning engineering and the exciting opportunities that lie ahead in this field. Overall, this session aims to provide a comprehensive overview of the various applications and potential of predictive machine learning.

      The webinar recording is available to view on our CREATE SE4AI YouTube channel

    • Dr. Gabor Melli, VP of Engineering, AI/ML at San Francisco-based Medable joined us for our first industry talk webinar of 2023! Gabor Melli is a seasoned professional with a proven track record of leading teams and driving positive change within organizations. His background includes implementing evidence-based solutions and facilitating change at large enterprises such as Sony PlayStation, Microsoft, AT&T, T-Mobile, and Wal*Mart, as well as at start-ups including Datasage, Meals.com, VigLink, OpenGov.com, and Medable.com. Gabor has also presented his research at various applied AI research conferences, including AAAI, KDD, LREC, and ICDM.

2019

  • (Melli, 2019a) ⇒ Gabor Melli. (2019). "Large Scale On-Demand Low-Latency Near Real-Time Predictions." In: Scale By the Bay 2019, Oakland, CA, November 15, 2019.
    • Abstract: Technical presentation on Sony PlayStation's approach to delivering real-time predictive analytics at scale, covering architectures for on-demand, low-latency predictions in production serving millions of users.
  • (Melli, 2019b) ⇒ Gabor Melli. (2019). "Cloud-based Machine Learning for the Enterprise." In: Global Artificial Intelligence Conference, Seattle, April 2019.
    • Abstract: Methodology for building scalable machine learning solutions on the cloud, with real-world practices for delivering enterprise-scale ML systems covering cloud-based development and deployment strategies.

2018

  • (Melli & AWS, 2018) ⇒ Gabor Melli and AWS. (2018). "Machine Learning for the Enterprise, ft. Sony Interactive Entertainment." In: AWS re:Invent 2018 (Session ENT232), Las Vegas, November 2018.
    • Abstract: Showcased how Sony Interactive Entertainment built real-world, scalable enterprise ML solutions using Amazon SageMaker and AWS services, demonstrating managing large-scale processes to extract more value from data.
  • (Melli et al., 2018) ⇒ Gabor Melli et al. (2018). "AI: from an Idea to the Customer" (Panel Discussion). In: AI By the Bay 2018, San Francisco, July 2018.
    • Abstract: Panel discussion tracing the end-to-end process of data-driven product development from initial concept through production deployment, sharing insights on challenges and best practices in bringing AI projects to customers.

2014

  • (Melli, 2014) ⇒ Gabor Melli. (2014). "Shallow Semantic Parsing of Product Offering Titles (for Better Automatic Hyperlink Insertion)." In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, August 2014.
    • Abstract: Peer-reviewed paper on NLP techniques for parsing e-commerce product titles to improve automated hyperlinking and enhance hyperlink insertion in web content.

2013

  • (Melli, 2013) ⇒ Gabor Melli. (2013). "Techniques, Systems and Applications of Semantically Linking Text to Ontologies." Keynote Address at VORTE 2013 (8th International Workshop on Vocabularies, Ontologies and Rules for the Enterprise), IEEE EDOC Conference, Vancouver, September 10, 2013.
    • Abstract: Keynote on methods for semantic annotation and linking of textual content to ontological concepts, covering systems and applications for enriching text with ontology-based metadata in enterprise knowledge management.

2012

  • (Melli et al., 2012) ⇒ Gabor Melli et al. (2012). "An Overview of the CPROD1 Contest on Consumer Product Mention Recognition and Linking." In: Proceedings of the ICDM 2012 Contest Workshop, IEEE International Conference on Data Mining, Brussels, December 10, 2012.
    • Abstract: Overview of the CPROD1 text mining contest challenging participants to detect and disambiguate consumer product mentions in user-generated text using a 15M-product catalog.

2010

  • (Melli & Pei, 2010) ⇒ Gabor Melli and Jian Pei. (2010). "Supervised Identification and Linking of Concept Mentions to a Domain-Specific Ontology." In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), Toronto, October 2010.
    • Abstract: Research presentation on algorithms for identifying concepts in text and linking them to entries in a domain ontology using supervised learning approaches for ontology-based text annotation.
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