databricks

JUNE 4, 2025

Get a Demo DATA + AI SUMMIT JUNE 9–12 | SAN FRANCISCO Data + AI Summit is almost here — don’t miss the chance to join us in San Francisco! AWS’ Legendary Presence at DAIS: Customer Speakers, Featured Breakouts, and Live Demos! REGISTER Ready to get started? AWS is also a proud sponsor of key Industry Forums – see full list below.

AWS 130

AWS AI AI Analytics 130

Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. For example: input = "How is the demo going?" Refer to demo-model-builder-huggingface-llama2.ipynb output = "Comment la démo va-t-elle?"

ML 167

ML ML AWS Python 167

databricks

JUNE 11, 2025

Get a Demo DATA + AI SUMMIT JUNE 9–12 | SAN FRANCISCO Data + AI Summit is almost here — don’t miss the chance to join us in San Francisco! Bring your real-time online ML workloads to Databricks, and let us handle the infrastructure and reliability challenges so you can focus on the AI model development. REGISTER Ready to get started?

AI 187

AI AI SQL Data Science 187

DataRobot Blog

DECEMBER 6, 2022

With a goal to help data science teams learn about the application of AI and ML, DataRobot shares helpful, educational blogs based on work with the world’s most strategic companies. Data Scientists of Varying Skillsets Learn AI – ML Through Technical Blogs. Watch a demo. See DataRobot in Action. Bureau of Labor Statistics.

Data Scientist 145

Data Scientist ML ML AI 145

Towards AI

DECEMBER 10, 2023

The previous parts of this blog series demonstrated how to build an ML application that takes a YouTube video URL as input, transcribes the video, and distills the content into a concise and coherent executive summary. Before proceeding, you may want to have a look at the resulting demo or the code hosted on Hugging Face U+1F917 Spaces.

AI 102

AI AI ML ML 102

databricks

JUNE 12, 2025

Get a Demo DATA + AI SUMMIT Data + AI Summit Happening Now Watch the free livestream of the keynotes! Join now Ready to get started?

Data Engineering 227

Data Engineering Data Engineering Data Engineer Data Engineering 227

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Let’s learn about the services we will use to make this happen.

Data Warehouse 114

Data Warehouse Machine Learning Machine Learning Cloud Data 114

AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In addition to several exciting announcements during keynotes, most of the sessions in our track will feature generative AI in one form or another, so we can truly call our track “Generative AI and ML.”

AWS 138

AWS ML ML AI 138

AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. Using SageMaker, you can build, train and deploy ML models.

ML 99

ML ML AWS AI 99

Flipboard

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

ML 123

ML ML AWS Data Warehouse 123

databricks

JUNE 11, 2025

Get a Demo DATA + AI SUMMIT JUNE 9–12 | SAN FRANCISCO Data + AI Summit is almost here — don’t miss the chance to join us in San Francisco! REGISTER Ready to get started? REGISTER Login Try Databricks Blog / Announcements / Article What Is a Lakebase?

Database 204

Database Data Lakes ETL Analytics 204

AWS Machine Learning Blog

JANUARY 6, 2025

It usually comprises parsing log data into vectors or machine-understandable tokens, which you can then use to train custom machine learning (ML) algorithms for determining anomalies. You can adjust the inputs or hyperparameters for an ML algorithm to obtain a combination that yields the best-performing model. scikit-learn==0.21.3

Python 111

Python AWS ML ML 111

AWS Machine Learning Blog

FEBRUARY 19, 2024

Model server overview A model server is a software component that provides a runtime environment for deploying and serving machine learning (ML) models. The primary purpose of a model server is to allow effortless integration and efficient deployment of ML models into production systems. For MMEs, each model.py The full model.py

ML 127

ML ML AWS Deep Learning 127

AWS Machine Learning Blog

FEBRUARY 13, 2025

For this demo, weve implemented metadata filtering to retrieve only the appropriate level of documents based on the users access level, further enhancing efficiency and security. To get started, explore our GitHub repo and HR assistant demo application , which demonstrate key implementation patterns and best practices.

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AWS AI AI ML 94

Towards AI

NOVEMBER 18, 2024

coder:32b The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and… ollama.com You can also try out the model on the demo page of Hugging Face: Qwen2.5 Coder Demo – a Hugging Face Space by Qwen Discover amazing ML apps made by the community huggingface.co

Python 105

Python Machine Learning Machine Learning ML 105

AWS Machine Learning Blog

JANUARY 29, 2025

Watch this video demo for a step-by-step guide. Once you are ready to import the model, use this step-by-step video demo to help you get started. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value. For more information, see Handling ModelNotReadyException.

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AWS ML ML AI 133

Flipboard

APRIL 24, 2025

The demo code is available in the GitHub repository. About the authors Renuka Kumar is a Senior Engineering Technical Lead at Cisco, where she has architected and led the development of Ciscos Cloud Security BUs AI/ML capabilities in the last 2 years, including launching first-to-market innovations in this space.

SQL 152

SQL Database AWS ML 152

Flipboard

APRIL 23, 2025

The high-level steps are as follows: For our demo , we use a web application UI built using Streamlit. About the authors Praveen Chamarthi brings exceptional expertise to his role as a Senior AI/ML Specialist at Amazon Web Services, with over two decades in the industry. The user enters the credentials and logs in. Brandon Rooks Sr.

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AWS ML ML AI 151

Data Science Dojo

APRIL 23, 2025

The answer to this dilemma is Arize AI, the team leading the charge on ML observability and evaluation in production. In this blog, we will walk you through the highlights of the series that focuses on real-world examples, hands-on demos using Arize Pheonix, and practical techniques to build your AI agents. Lets dive in.

AI 195

AI AI Decision Trees ML 195

AWS Machine Learning Blog

JUNE 7, 2023

You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas , thereby making it easier to constantly learn and improve the model performance and drive efficiency. An ML model’s effectiveness depends on the quality and relevance of the data it’s trained on.

ML 91

ML ML Machine Learning Machine Learning 91

Towards AI

JUNE 25, 2024

🧰 The dummy data While Spark is famous for its ability to work with big data, for demo purposes, I have created a small dataset with an obvious duplicate issue. We will use this table to demo and test our custom functions. Do you notice that the two ID fields, ID1 and ID2, do not form a primary key? distinct().count()

ML 75

ML ML EDA Data Wrangling 75

Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. This is more compute than Frontier, the world's largest supercomputer!

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ML ML Python ETL 125

AWS Machine Learning Blog

APRIL 11, 2023

Developing web interfaces to interact with a machine learning (ML) model is a tedious task. With Streamlit , developing demo applications for your ML solution is easy. Streamlit is an open-source Python library that makes it easy to create and share web apps for ML and data science. sh setup.sh is modified on disk.

ML 98

ML ML AWS Data Scientist 98

Flipboard

MARCH 4, 2025

To demonstrate how generative AI can accelerate AWS Well-Architected reviews, we have developed a Streamlit-based demo web application that serves as the front-end interface for initiating and managing the WAFR review process. Brijesh specializes in AI/ML solutions and has experience with serverless architectures.

AWS 164

AWS AI AI Database 164

AWS Machine Learning Blog

OCTOBER 21, 2024

For this example, we take a sample context and add to demo the concept: input_output_demarkation_key = "nn### Response:n" question = "Tell me what was the improved inflow value of cash?" He has earned the title of one of the Youngest Indian Master Inventors with over 500 patents in the AI/ML and IoT domains.

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AWS ML ML AI 142

Flipboard

NOVEMBER 21, 2024

Define the text generation configuration AutoMLV2 automates the entire ML process, from data preprocessing to model training and deployment. accept_eula – The access configuration file to control access to the ML model. For this project, we used the Meta Llama2-7B model. SageMaker Autopilot supports fine-tuning a variety of LLMs.

AWS 132

AWS ML ML Algorithm 132

Iguazio

JUNE 9, 2025

Then, we show how to use NVIDIA NIM with MLRun to productize gen AI applications at scale and reduce risks , including a demo of a multi-agent banking chatbot. A gen AI factory allows developers and users to quickly demo, build, deploy, and scale new gen Al applications, accessible through a portal. What is a Gen AI Factory?

AI 52

AI AI Data Preparation Data Scientist 52

ML @ CMU

DECEMBER 12, 2024

Responding to User Ambiguous Queries Demo of PrISM-Q&A in a latte-making scenario (1:06-) Voice assistants (like Siri and Amazon Alexa), capable of answering user queries during various physical tasks, have shown promise in guiding users through complex procedures. .”

AI 141

AI AI Algorithm Machine Learning 141

AWS Machine Learning Blog

FEBRUARY 11, 2025

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. We encourage ML practitioners working with large graph data to try GraphStorm.

AWS 103

AWS Python ML ML 103

Dataconomy

JUNE 16, 2023

The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles. For a free initial consultation call, you can email sales@gammanet.com or click “Request a Demo” on the Gamma website ([link] Go to the Gamma.AI How to use Gamme AI?

AI 193

AI AI Natural Language Processing Data Classification 193

ODSC - Open Data Science

JUNE 13, 2025

The examples are production-ready and provide an actionable reference for developers and ML engineers alike. The presentation also includes a GitHub-linked demo — perfect for practitioners seeking a hands-on entry point. Joshi dives into tool use, memory management, and LLM interfacing with MongoDB Atlas as a real-time knowledge store.

ML 52

ML ML Azure Data Science 52

AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. These models are then pushed to an Amazon Simple Storage Service (Amazon S3) bucket using DVC, a version control tool for ML models. Thirdly, there are improvements to demos and the extension for Spark.

ML 96

ML ML Deep Learning Deep Learning 96

Flipboard

DECEMBER 11, 2024

Second, because data, code, and other development artifacts like machine learning (ML) models are stored within different services, it can be cumbersome for users to understand how they interact with each other and make changes. Under Quick setup settings , for Name , enter a name (for example, demo). Choose Continue.

SQL 160

SQL AWS Data Lakes Analytics 160

O'Reilly Media

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?

AI 74

AI AI ML ML 74

IBM Data Science in Practice

MARCH 4, 2024

This works for both Predictive ML and LLMs. For Predictive ML, both development and runtime metrics can be monitored for any model including quality metrics, drift, and fairness monitoring. Each of these calculations can be done for any vendor at development time. Details in our documentation here.)

AI 130

AI AI ML ML 130

AWS Machine Learning Blog

MARCH 19, 2025

Implementation details and demo setup in an AWS account As a prerequisite, we need to make sure that we are working in an AWS Region with Amazon Bedrock support for the foundation model (here, we use Anthropics Claude 3.5 For this demo setup, we describe the manual steps taken in the AWS console.

AWS 112

AWS AI AI Cloud Computing 112

Iguazio

APRIL 28, 2025

You can hear more details in the webinar this article is based on, straight from Kaegan Casey, AI/ML Solutions Architect at Seagate. Iguazio allows sharing projects between diverse teams, provides detailed logging of parameters, metrics, and ML artifacts and allows for artifact versioning including labels, tags, associated data etc.

ML 69

ML ML Clustering Database 69