Flipboard

DECEMBER 11, 2024

With SageMaker Unified Studio notebooks, you can use Python or Spark to interactively explore and visualize data, prepare data for analytics and ML, and train ML models. With the SQL editor, you can query data lakes, databases, data warehouses, and federated data sources. Choose Continue.

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SQL AWS Data Lakes AI 135

IBM Journey to AI blog

DECEMBER 7, 2023

Increased operational efficiency benefits Reduced data preparation time : OLAP data preparation capabilities streamline data analysis processes, saving time and resources. IBM watsonx.data is the next generation OLAP system that can help you make the most of your data.

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Data Preparation Database AI AI 72

AWS Machine Learning Blog

NOVEMBER 13, 2024

Several activities are performed in this phase, such as creating the model, data preparation, model training, evaluation, and model registration. Model lineage tracking captures and retains information about the stages of an ML workflow, from data preparation and training to model registration and deployment.

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ML ML AWS Data Preparation 120

AWS Machine Learning Blog

JUNE 3, 2024

SageMaker Data Wrangler has also been integrated into SageMaker Canvas, reducing the time it takes to import, prepare, transform, featurize, and analyze data. In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing.

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DataRobot Blog

FEBRUARY 28, 2023

By bringing the unmatched AutoML capabilities of DataRobot to the data in Snowflake’s Data Cloud, customers get a seamless and comprehensive enterprise-grade data science platform.” Learn more at DataRobot.com/Snowflake.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Interact with several demos that feature new applications, including a competition that involves using generative AI tech to pilot a drone around an obstacle course. Join this chalk talk for a deep dive on FM customizations through an interactive demo. Generative AI is at the heart of the AWS Village this year. Reserve your seat now!

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Tableau

FEBRUARY 22, 2021

Relevant predictions are also integrated in Tableau Prep Builder, offering insights during data preparation and giving people the power to write ML predictions (scores) directly into their data sets. Learn more about Einstein Discovery in Tableau and see it in action with a quick demo.

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AWS Machine Learning Blog

OCTOBER 8, 2024

SageMaker AutoMLV2 is part of the SageMaker Autopilot suite, which automates the end-to-end machine learning workflow from data preparation to model deployment. Data preparation The foundation of any machine learning project is data preparation.

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Machine Learning Machine Learning Data Preparation AWS 100

Flipboard

AUGUST 17, 2023

Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml For Prepare template , select Template is ready. Enter a stack name, such as Demo-Redshift. yaml locally. On the AWS CloudFormation console, choose Create stack.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

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Data Warehouse Machine Learning Machine Learning Cloud Data 122

Snorkel AI

NOVEMBER 1, 2023

When Vertex Model Monitoring detects data drift, input feature values are submitted to Snorkel Flow, enabling ML teams to adapt labeling functions quickly, retrain the model, and then deploy the new model with Vertex AI. See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

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ML ML Machine Learning Machine Learning 64

IBM Journey to AI blog

MARCH 14, 2024

  Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads.

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Flipboard

NOVEMBER 21, 2024

We use Amazon SageMaker Pipelines , which helps automate the different steps, including data preparation, fine-tuning, and creating the model. We demonstrated an end-to-end solution that uses SageMaker Pipelines to orchestrate the steps of data preparation, model training, evaluation, and deployment.

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Iguazio

NOVEMBER 1, 2024

It automates data preparation, model tuning, customization, validation and optimization of ML models, LLMs and live AI applications over elastic resources. Demo: Gen AI Banking Chatbot What do these new monitoring and fine-tuning capabilities look like in a business gen AI application? Watch the demo here.

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Snorkel AI

NOVEMBER 9, 2023

As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling. According to our poll participants, data preparation still occupies more data scientists’ hours than anything else. or request a demo to get started or to learn more.

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Data Science Data Scientist AI AI 59

Precisely

JULY 18, 2024

Significantly improves data governance and security through a unified framework for managing data policies, compliance, and quality across all data points. With its business-friendly user experience, this innovative solution ensures data accuracy, consistency, and context, allowing you to automate and accelerate decision-making.

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Data Lakes Data Warehouse Data Governance Machine Learning 52

AWS Machine Learning Blog

AUGUST 26, 2024

This instance will be used for various tasks such as video processing and data preparation. You can use this URL to access the GenASL demo application. Windows-based EC2 instance – Make sure you have access to a Windows-based EC2 instance to run the batch process. For instructions, refer to Launch an instance.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.

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Snorkel AI

NOVEMBER 9, 2023

As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling. According to our poll participants, data preparation still occupies more data scientists’ hours than anything else. or request a demo to get started or to learn more.

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Data Science Data Scientist AI AI 52

Heartbeat

JUNE 5, 2023

MLFlow From data preparation through application deployment, MLFlow is an open-source platform that manages the whole machine learning lifecycle. It provides a set of tools for creating interactive demos and visualizations of machine learning models.

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ML ML Machine Learning Machine Learning 59

AWS Machine Learning Blog

AUGUST 22, 2023

Data is split into a training dataset and a testing dataset. Both the training and validation data are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket for model training in the client account, and the testing dataset is used in the server account for testing purposes only.

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Machine Learning Machine Learning AWS ML 92

AWS Machine Learning Blog

SEPTEMBER 25, 2024

Solution overview In this solution, we start with data preparation, where the raw datasets can be stored in an Amazon Simple Storage Service (Amazon S3) bucket. We provide a Jupyter notebook to preprocess the raw data and use the Amazon Titan Multimodal Embeddings model to convert the image and text into embedding vectors.

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Snorkel AI

NOVEMBER 1, 2023

When Vertex Model Monitoring detects data drift, input feature values are submitted to Snorkel Flow, enabling ML teams to adapt labeling functions quickly, retrain the model, and then deploy the new model with Vertex AI. Book a demo today. Revamped Snorkel Flow SDK Also included in the 2023.R3 See what Snorkel option is right for you.

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AWS Machine Learning Blog

MAY 31, 2024

Data preparation Before creating a knowledge base using Knowledge Bases for Amazon Bedrock, it’s essential to prepare the data to augment the FM in a RAG implementation. For this example, we created a bucket with versioning enabled with the name bedrock-kb-demo-gdpr.

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phData

MAY 3, 2023

The only other requirement is that you have access to data similar to the accelerator you want to use. More on data preparation later. Several accelerators also have demo videos that walk you through the dashboard. However, we must jump to the Required Attributes section above the visualization for data prep purposes.

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Tableau Data Preparation 52

Snorkel AI

MARCH 19, 2024

Vertex AI provides a suite of tools and services that cater to the entire AI lifecycle, from data preparation to model deployment and monitoring. This demo steps you through the iterative approach and we cover the steps in detail below. Book a demo today. See what Snorkel option is right for you.

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AI AI Data Scientist ML 52

Snorkel AI

MARCH 19, 2024

Vertex AI provides a suite of tools and services that cater to the entire AI lifecycle, from data preparation to model deployment and monitoring. This demo steps you through the iterative approach and we cover the steps in detail below. See what Snorkel can do to accelerate your data science and machine learning teams.

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AI AI Data Scientist ML 52

AWS Machine Learning Blog

AUGUST 14, 2023

Often, to get an NLP application working for production use cases, we end up having to think about data preparation and cleaning. This is covered with Haystack indexing pipelines , which allows you to design your own data preparation steps, which ultimately write your documents to the database of your choice.

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Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And finally, you’ll see that in action today. I don’t have a lot of time, so we’ll jump into it.

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SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And finally, you’ll see that in action today. I don’t have a lot of time, so we’ll jump into it.

SQL 52

SQL ML ML Python 52

Snorkel AI

JANUARY 26, 2024

Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way. See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

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Data Science AI AI Machine Learning 64

DataRobot Blog

FEBRUARY 15, 2023

The demo from the session highlights unique and differentiated capabilities that empower all users—from the analysts to the data scientists and even the person at the end of the journey who just needs to access an instant price estimate. After setting up your project, you can get started.

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Towards AI

JANUARY 31, 2023

Here is a quick demo of how it works Let's now dive deep into how I went about the project. Data preparation The first thing I did was import the necessary libraries. I need to mount the data since the dataset is on my Google Drive. Sounds cool, right? Sure, it does. In total, I downloaded about 200 images.

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Tableau

FEBRUARY 22, 2021

Relevant predictions are also integrated in Tableau Prep Builder, offering insights during data preparation and giving people the power to write ML predictions (scores) directly into their data sets. Learn more about Einstein Discovery in Tableau and see it in action with a quick demo.

Tableau 52

Tableau ML ML AI 52

Snorkel AI

JANUARY 26, 2024

Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way. Our Snorkel Custom program puts our world-class engineers and researchers to work on your most promising challenges to deliver data sets or fully-built LLM or generative AI applications, fast.

Data Science 52

Data Science AI AI Data Scientist 52

AWS Machine Learning Blog

JULY 5, 2023

This solution contains data preparation and visualization functionality within SageMaker and allows you to train and optimize the hyperparameters of deep learning models for your dataset. You can use your own data or try the solution with a synthetic dataset as part of this solution. Finally, you launch SageMaker Studio.

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Iguazio

FEBRUARY 8, 2024

What’s in store for LLMOps and how can data professionals prepare? Transitioning from Prototyping to Business Value Creation - The engineering focus will shift from showcasing demos to actual productization of GenAI and deploying LLMs to support live use cases. Here are a few expected trends: 1.

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