VN1 Forecasting - Accuracy Challenge Phase 1
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VN1 Forecasting - Accuracy Challenge Phase 1

Flieber, Syrup Tech, and SupChains Launch an AI-Driven Supply Chain Forecasting Competition

VN1 Forecasting - Accuracy Challenge
Machine Learning/AI
Enterprise
E-commerce/Retail
Total Prize 20,000
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Posted 2 months ago Expand

⏳ 24 Hours Left for VN1 Datathon—Final Push & Exclusive Opportunities Await! 🚀

Dear VN1 Datathon Participants,

 

The final countdown is here—just 24 hours left to submit your entry for the VN1 Forecasting Accuracy Challenge! Now’s your time to shine and compete for a share of $20,000 in prizes, including the grand prize of $10,000. But the rewards don’t end there!

 

💡 What’s next?
We will carefully review the top 20 submissions, and the finalists will have an incredible opportunity to:

  • Receive expert feedback from top industry professionals and sponsors
  • Get featured in a big showcase event across LinkedIn and leading industry publications
  • Connect with DataSource for potential internships and professional opportunities

This is your chance to learn from the best and boost your career—whether it’s winning, gathering expert insights, or making valuable connections for the future.

 

🔑 Pro tip: Take this final stretch to refine your models, double-check everything, and submit with confidence.

The spotlight is waiting for you. Let’s make this last push count and get ready for the big reveal! 💥

 

Link to Phase 2: https://www.datasource.ai:443/en/home/data-science-competitions-for-startups/phase-2-vn1-forecasting-accuracy-challenge/description 

 

See you at the top!
The VN1 Datathon Team

 

Posted 2 months ago Expand

🔥 VN1 Forecasting Challenge: Phase 2 is LIVE - $20k Up for Grabs! 🔥

The Phase 2 of the VN1 Forecasting Accuracy Challenge is currently ongoing! This is your final opportunity to demonstrate your forecasting skills and claim your share of the $20k prize pool. 

 

With no leaderboard updates during the second phase, it’s all about delivering your best prediction using Phase 0 and Phase 1 data. This time participant's can't cherry-pick the best possible model, but they need to apply real-life forecasts, only their latest submission will be taken into account. 

 

We can't wait to see your submissions! Good luck, and go get it! 🎯

 

For submissions, you need to register and submit your solution in the following link: 

 

https://www.datasource.ai/en/home/data-science-competitions-for-startups/phase-2-vn1-forecasting-accuracy-challenge/description

Posted 3 months ago Expand

VN1 Forecasting Challenge: Phase 2 Submissions Launching soon! Important Details

Dear Participants,
 

We are excited to announce that our VN1 Forecasting Challenge has set a new record! With nearly 1,000 participants submitting over 2,500 predictions during the first three practice weeks, the challenge is off to an incredible start.
 

As we approach the second & final phase of the challenge, we want to remind you that tomorrow- October 3rd, 2024 a new submission page will be available on the datasource.ai platform. You will need to enroll again to submit your predictions for Phase 2, where the winners will be selected and will share in a $20,000 prize pool!

Please note that while you can submit multiple times during this phase, only your last submission will count toward the final result.
 

For your submissions, remember to utilize open-source or free tools, such as popular Python libraries, to develop your predictions.
 

Not only do you have the chance to win, but participating also offers great visibility. Your work will be noticed by thought leaders, as our datathon is gaining significant traction across social media platforms like LinkedIn and industry publications.
 

While participation in the first phase wasn't mandatory, those who practiced during the initial round may find their experience beneficial as we enter this crucial phase.
 

Don’t miss out—submit your predictions starting October 3rd!
 

Best regards,
The DataSource.AI Team

Posted 3 months ago Expand

🚨 Datathon Resumption Announcement: VN1 Forecasting - Accuracy Challenge 🚨

Dear Participants,

 

We’re excited to announce that the VN1 Forecasting - Accuracy Challenge Datathon will officially resume in 2 days! 🎉

 

Thank you all for your valuable feedback and patience during this time. We’ve worked hard to address the issues and ensure an improved experience for everyone. The datathon will restart on September 12th, and we can’t wait to see your solutions in action!

 

Get ready to dive back into the challenge and forecast demand!

 

Stay tuned, and thank you again for your understanding and support!

 

Best of luck, 

The VN1 Datathon Team

 

 

 

 

 

 

 

 

Posted 4 months ago Expand

Rescheduling Announcement: VN1 Forecasting - Accuracy Challenge Phase 1 to September 12

We recently made the decision to re-schedule our datathon and announced the new launch date as September 12th. The challenge will be redesigned and relaunched on this date. The decision was driven by the need to ensure a high-quality experience for all participants. While the rescheduling of the challenge was a difficult decision, it was necessary to ensure a high-quality experience for all participants. The upcoming weeks will be dedicated to refining the challenge and thoroughly testing the platform to avoid similar issues in the future. We appreciate the patience and understanding of all participants and look forward to a successful challenge launch on September 12th.

We would like to extend our heartfelt gratitude to the 430 participants who registered for the VN1 Forecasting - Accuracy Challenge Phase 1. Your enthusiasm and commitment to this challenge mean a great deal to us.

We also want to express our deep appreciation to our sponsors—Flieber, SyrupTech, and SupChains. You had every right to be disappointed by the unexpected rescheduling, but your understanding and continued support have been invaluable. Thank you for standing by us as we work to ensure a smooth and successful challenge experience for everyone involved.

We look forward to launching on September 12th and delivering the high-quality event you all deserve.

 

What happened: 

Due to recent upgrades to our platform, we encountered unforeseen compatibility issues. The timing of these upgrades did not allow for sufficient testing of all types of datathons, particularly those that were requiring unique customisations that were not fully supported by our existing ML (Machine Learning) endpoints structure. These issues could have negatively impacted the participants' experience during the challenge.

 

The DataSource.ai platform was upgraded shortly before the challenge was scheduled to take place. This upgrade included changes that were necessary for long-term improvements but required more extensive testing.

 

Actions Taken:

  • Rescheduling of the Challenge: The decision to reschedule was made to allow adequate time for redesigning the challenge and ensuring full compatibility with the platform’s new capabilities.
  • Extended Testing Period: Over the next three weeks, the team will be conducting extensive testing across all challenge types to guarantee a smooth and flawless experience for all participants.

Future Prevention: 

To prevent similar issues in the future, the following measures will be implemented:

  • Enhanced Testing Protocols: A more rigorous testing protocol will be established to ensure that all types of challenges, especially those with unique elements, are fully compatible with the platform.
  • Clear Communication Channels: We will ensure that all stakeholders are informed of potential impacts of upgrades well in advance, allowing for better preparation and adjustment periods.

Posted 4 months ago Expand

Temporary technical issues with our platform

Dear participants,

 

We regret to inform you that we are currently experiencing some technical issues with the DataSource.ai, due to an unexpected error that went unoticed from our team.

 

As a result, we have had to revisit and address these challenges before we can continue with the datathon.

 

We understand the inconvenience this may cause and are working diligently to resolve the issues as quickly as possible. Our aim is to resume the datathon as soon as everything is back on track.

 

In the meantime, the best way to stay updated on our progress and any further announcements is through our Discord channel. Please join us here: https://discord.gg/b9AJN9qVAg.

 

We apologize for any disruption this may have caused and appreciate your understanding and patience.

Posted 4 months ago Expand

Let the Forecasting Challenge Begin! Datathon is now Live!

Dear participants,

We’re excited to welcome you to the start of the VN1 Forecasting - Accuracy Challenge Datathon 🎉 The datathon is now live, and you can head over to the datasets to dive right in.

Your objective in this competition is to forecast the demand of e-commerce brands for the next 13 weeks. With over 12,000 products from 60+ brands, you’ll be working with historical sales, prices, and inventory levels, just as they arrive from the data integrations. This is your chance to tackle one of the most challenging and complex tasks in modern retail: demand forecasting

 

The Datathon kicks off today, August 15th, and registrations are still open! If you know someone who’s passionate about data and loves a big challenge, make sure they don’t miss out. 

This event is proudly sponsored by Flieber, Syrup, and SupChains. Thanks to their generous support, the winners will walk away with $20,000! The 1st winner will win $10,000.The 2nd, 3rd, 4th, and 5th place participants will each receive $2,250, and the owner of the most discussed publicly shared notebook by the community will earn an additional $1,000.

 

This Datathon has caught the attention of many industry thought leaders, so winning here means more than just a prize – it’s a significant opportunity for visibility and recognition.

 

So, get ready to bring your A-game, collaborate, share, and most importantly, enjoy the process. We can’t wait to see the amazing insights and solutions you come up with.

 

Good luck 🚀

 

Best regards,

Nikos-DataSource

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