Demo Related Topics 
Analytics Vidhya
DECEMBER 6, 2024
Over centuries, we have been doing multiple things to predict the weather, such as listening to the cricket chirps or looking to the stars for […] The post Google’s GenCast: Weather Forecasting with GenCast Mini Demo appeared first on Analytics Vidhya.
O'Reilly on Data
JANUARY 21, 2025
Its quick to implement and demos well. The prompt-and-pray approach is tempting because it demos well and feels fast. As enterprises mature in their AI implementations, the focus must shift from impressive demos to reliable, scalable systems. But beneath the surface, its a patchwork of brittle improvisation and runaway costs.
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AWS Big Data
NOVEMBER 27, 2024
txt s3://reinvent-glacier-demo/T1/year=2023/month=1/day=1/ --storage-class GLACIER_IR aws s3 cp glacier_instant_retrieval_2.txt txt s3://reinvent-glacier-demo/T1/year=2022/month=1/day=1/ --storage-class GLACIER aws s3 cp glacier_flexible_retrieval_formerly_glacier_2.txt The objects are listed as follows: glacier_instant_retrieval_1.txt
KDnuggets
JULY 4, 2025
Wrapping Up That’s it — and it’s already better than most demos. In this article, you will learn how we’ll go from a simple machine learning model to a production-ready API using FastAPI, one of Python’s fastest and most developer-friendly web frameworks, in just under 10 minutes. What we’ve built is more than just a toy example.
Speaker: Tamara Fingerlin, Developer Advocate
Join Airflow expert, Tamara Fingerlin, to get an in-depth look at everything you need to know about the 3.0 has to offer!
O'Reilly on Data
MARCH 25, 2025
Someone hacks together a quick demo with ChatGPT and LlamaIndex. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges?
AWS Big Data
APRIL 8, 2025
Replace with your database name, with your table name, amzn-s3-demo-bucket with your S3 bucket name. alias("timestamp")) view_name = f"incoming_data_{batchId}" transformedDF.createOrReplaceGlobalTempView(view_name) while attempt with your database name, with your table name, amzn-s3-demo-bucket with your S3 bucket name.
Speaker: Sander van Lokven and N.S. Krishnan
How to use scenarios for on the fly decision making (demo). The impact on short term plans when the unexpected happens. 3 ways to increase rigor in your sales and operations execution to deal with the unexpected.
Speaker: Paul van Nierop, Senior Supply Chain Consultant, AIMMS
A short demo of AIMMS Network Design. After the webinar, you will be equipped to decide which technology fits your organization best. This webinar shares: What is supply chain network design? The main network design technologies and their pros, cons, and capabilities.
Speaker: Catalina Perez Leiva
Learn how AIMMS Network Design helps you run various scenarios to make informed decisions, all with personal, high-care implementation support and onboarding. AIMMS Network Design features, functions, and technology: Use cases.
Speaker: Gertjan de Lange
In this short demo, you will: See how to quickly model sets, parameters, variables, and a multitude of constraints that will define your mathematical formulation. Watch this exclusive demo today! Experience how efficient you can be when you fit your model with actionable data. Don't let uncertainty drive your business.
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Contact GAP for a demo today! With integration potential for test management tools and CI/CD pipelines, our solution is tailored for QA teams, developers, and PMs. Ready to transform your QA practices?
Advertiser: ZoomInfo
Think about it: with outbound prospecting, requests from management, scheduled demos, and inbound calls, chaos can quickly work its way into your strategy, deeming a “speed wins” selling mentality downright ineffective. The bottom line is that, in B2B sales, speed is useless without control.
Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS
A live demo of lake formation. In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently. Javier Ramirez will present: The typical steps for building a data lake. Navigating idle clusters and bottlenecks.
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