Back to Events
On Demand

Building the World's First AI-Powered Sports Narrator

The only one of its kind
Chen Margalit
Chen Margalit
Data Science & ML Manager at LSports
at
at
at

The LSports data science team built the world’s first and only AI-based sports narrator. This innovative chat interface allows users to discuss sports event outcomes, providing not only the predicted results but also the reasoning behind them. In the upcoming lecture, Chen will delve into the construction of this AI narrator, the challenges they encountered, and the solutions they developed to overcome these obstacles.

‍

Join upcoming demo

Register with SlackSlack
Jun 26, 2024 12:35 PM
‍

The LSports data science team built the world’s first and only AI-based sports narrator. This innovative chat interface allows users to discuss sports event outcomes, providing not only the predicted results but also the reasoning behind them. In the upcoming lecture, Chen will delve into the construction of this AI narrator, the challenges they encountered, and the solutions they developed to overcome these obstacles.

‍

Learn more from top AI experts

Qwak webinar logo

Transforming the Future of AI and ML

Latest Trends and Innovations in MLOps 2.0
On Demand
Transforming the Future of AI and MLTransforming the Future of AI and MLTransforming the Future of AI and ML
Ran Romano
,
Sakib Dadi
,
,
Qwak webinar logo

Your entire AI/ML lifecycle in a single platform

See JFrog ML in action
Upcoming Webinar
Your entire AI/ML lifecycle in a single platformYour entire AI/ML lifecycle in a single platformYour entire AI/ML lifecycle in a single platform
Guy Eshet
,
Bill Manning
,
,
Qwak webinar logo

Building an Optimized ML Pipeline

The builders behind Superbet’s profanity detection model
On Demand
Building an Optimized ML PipelineBuilding an Optimized ML PipelineBuilding an Optimized ML PipelineMateja Iveta
Pavel Klushin
,
Filip Gvardijan
,
Zvonimir Cikojevic'
,
Mateja Iveta

JFrog ML helps companies deploy AI in production

“JFrog ML streamlines AI development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”
Notion
“We ditched our in-house platform for JFrog ML. I wish we had found them sooner.”
Upside
“The JFrog ML platform enabled us to deploy a complex recommendations solution within a remarkably short timeframe. JFrog ML is an exceptionally responsive partner, continually refining their solution.”
Lightricks
See how our customers win with JFrog ML
right arrow