Pricing tool@AI Horizons

I’m truly excited to present a live demo of the data pricing tool at AIHorizons 2024 next Thursday 17 October in the evening session on the challenge of interpretability and the data economy. It’s also a huge honor having the opportunity to participate in the event and listening to fantastic researchers and great professionals working in the field of AI. Many thanks to the organization for giving me the opportunity to participate in the event!

Based on information stemming from my PhD research at UC3M and IMDEA Networks Institute [1-3], and developed as part of the UPCAST Project, the tool estimates the market price of a data asset based on its metadata. It’s useful for data owners to get a glimpse of the value their data could reach in the market, and why, and also for consumers to estimate the cost of acquiring a data asset in the market.

It’s still a prototype, user-friendly and simple to use. We look forward to improving the tool by:

• Updating and increasing input data
• Streamlining data collection processes
• Suggest pricing mechanisms and specific pricing strategies based on those of similar datasets in the market
• Making it accessible through APIs

Can’t wait for the event? See the blog entry for the first prototype, or a demonstration video here! And feel free to contact me for more details.

[1] Santiago Andrés Azcoitia, Costas Iordanou, and Nikolaos Laoutaris. Understanding the Price of Data in Commercial Data Marketplaces. Proc. of the 39th IEEE International Conference on Data Engineering (ICDE 2023).  Anaheim, CA, USA, 2023.

[2] Santiago Andrés Azcoitia, Costas Iordanou, and Nikolaos Laoutaris. Measuring the Priceof Data in Commercial Data Marketplaces. First ACM Data Economy Workshop in CoNEXT’22 (2022). Association for Computing Machinery, New York, NY, USA.

[3] Santiago Andrés Azcoitia and Nikolaos Laoutaris, A Survey of Data Marketplaces and Their Business Models. ACM SIGMOD Record, 51(3), (Sep 2022), ACM, New York, NY, USA.