Yes, definitely!! Is it live already?
# communications
t
Yes, definitely!! Is it live already?
m
also already on Spotify and similars
t
Great! Since you were host, thought you might have an idea already. Is there any key quote, or a few points that are mentioned in the podcast that we can put into our repost? So our repost would be something like
Azul and Mononito share that they see Time series models as the next frontier of AI, in this part 2 of this IFF forecast.
They also discuss X, Y and Z.
Thanks IFF for the opportunity to participate on this panel!
I can take from the show notes, and just shorten if this is about what's in this episode > The guests discuss their transition into working with foundation models for time series forecasting, and describe the empirical approach they took, inspired by the success of Transformers in other domains like video, images, and text. Their experiments with adapting these models to time series data yielded exciting results, leading to the development of new products and tools. The conversation sets the stage for a deep dive into the challenges and opportunities presented by foundation models in time series forecasting. The discussion highlights the need for massive, diverse datasets and the potential for these models to learn patterns and extrapolate to new data effectively. > This episode underscores the rapid advancements in time series forecasting and the growing importance of foundation models in pushing the boundaries of whatโ€™s possible in this field. It offers listeners a glimpse into the minds of innovators who are shaping the future of time series analysis and its applications across various industries.
m
I think we can mention that we continue our discussion, got into more technical details about foundation models, including their limitations, concluded with their view for the future
sorry, I was also thinking what to say ๐Ÿ˜…
yes, that is what part 2 is about
t
great, thanks, I'll write a draft
m
Thank you! ๐Ÿ™
t
More on foundation models for time series forecasting in Part 2 of this IIF podcast! In this continuation of the conversation, Azul and Mononito share about: ๐ŸŒฅ๏ธ Challenges and opportunities presented by foundation models in time series forecasting ๐Ÿ“Š The need for massive, diverse datasets for these models to best reach their potential ๐Ÿ“ˆ Their views for the future of time series forecasting "This episode underscores the rapid advancements in time series forecasting and the growing importance of foundation models in pushing the boundaries of whatโ€™s possible in this field." ๐Ÿ™Thank you for the great conversation Mariana and Faranak! We so enjoyed and appreciated the opportunity to join Mononito for this thoughtful discussion.
m
ok, I would remove the first two points. I noticed that the description on Spotify (the one that you used) is the same for the two episodes, but part 2 is more about the technical details, the challenges and limitations and it concludes with their view for the future
๐Ÿ‘ 1
t
updated, more accurate?
wait, I'll add in the 'view for the future'
m
awesome
t
look good now?
m
yes