Tableau

MAY 3, 2022

Einstein Copilot for Tableau Einstein Copilot for Tableau superpowers analysts with a trusted AI assistant to help accelerate data-driven decision-making. Einstein Copilot for Tableau can also create visualizations from conversational prompts, and provide suggested questions to jumpstart data exploration.

Tableau 52

Tableau Cloud Data Analytics Analytics 52

IBM Journey to AI blog

JULY 24, 2024

By providing access to a wider pool of trusted data, it enhances the relevance and precision of AI models, accelerating innovation in these areas. Optimizing performance with fit-for-purpose query engines In the realm of data management, the diverse nature of data workloads demands a flexible approach to query processing.

Data Governance 69

Data Governance Data Warehouse Data Preparation AI 69

DataRobot Blog

MARCH 16, 2023

Secure, Seamless, and Scalable ML Data Preparation and Experimentation Now DataRobot and Snowflake customers can maximize their return on investment in AI and their cloud data platform. Automated data preparation and well-defined APIs allow you to quickly frame business problems as training datasets.

Data Scientist 52

Data Scientist ML ML Data Preparation 52

AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

AWS 84

AWS ML ML AI 84

IBM Journey to AI blog

MAY 9, 2023

It offers its users advanced machine learning, data management , and generative AI capabilities to train, validate, tune and deploy AI systems across the business with speed, trusted data, and governance. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

AI 110

AI AI Data Warehouse Machine Learning 110

AWS Machine Learning Blog

OCTOBER 18, 2023

The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring. He is passionate about helping customers to build scalable and modern data analytics solutions to gain insights from the data.

AWS 114

AWS ML ML Machine Learning 114

AWS Machine Learning Blog

AUGUST 4, 2023

Train a recommendation model in SageMaker Studio using training data that was prepared using SageMaker Data Wrangler. The real-time inference call data is first passed to the SageMaker Data Wrangler container in the inference pipeline, where it is preprocessed and passed to the trained model for product recommendation.

ML 89

ML ML AWS AI 89

Alation

AUGUST 31, 2021

Finally, it should make collaborative work around data seamless, providing a single source of reference for a range of users. Key Features of a Data Catalog for the Data Cloud. Data must be: Understandable with context about past usage, popularity, and transformations over time.

Data Scientist 52

Data Scientist Machine Learning Machine Learning Cloud Data 52

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. After you finish data preparation, you can use SageMaker Data Wrangler to export features to SageMaker Feature Store.

ML 123

ML ML AWS Data Warehouse 123

IBM Journey to AI blog

JULY 17, 2023

Visual modeling: Delivers easy-to-use workflows for data scientists to build data preparation and predictive machine learning pipelines that include text analytics, visualizations and a variety of modeling methods. The post Exploring the AI and data capabilities of watsonx appeared first on IBM Blog.

AI 74

AI AI Machine Learning Machine Learning 74

Dataversity

MAY 3, 2021

The data value chain goes all the way from data capture and collection to reporting and sharing of information and actionable insights. As data doesn’t differentiate between industries, different sectors go through the same stages to gain value from it. Click to learn more about author Helena Schwenk.

Data Preparation 78

Data Preparation Data Quality Data Governance Cloud Data 78

AWS Machine Learning Blog

NOVEMBER 16, 2023

Access to AWS environments SageMaker and associated AI/ML services are accessed with security guardrails for data preparation, model development, training, annotation, and deployment.

ML 108

ML ML AWS AI 108

phData

FEBRUARY 7, 2024

The Snowflake Data Cloud is a leading cloud data platform that provides various features and services for data storage, processing, and analysis. A new feature that Snowflake offers is called Snowpark, which provides an intuitive library for querying and processing data at scale in Snowflake.

Python 52

Python ML ML SQL 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. And we view Snowflake as a solid data foundation to enable mature data science machine learning practices. And how we do that is by letting our customers develop a single source of truth for their data in Snowflake.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. And we view Snowflake as a solid data foundation to enable mature data science machine learning practices. And how we do that is by letting our customers develop a single source of truth for their data in Snowflake.

SQL 52

SQL ML ML Python 52

phData

DECEMBER 4, 2023

However, if there’s one thing we’ve learned from years of successful cloud data implementations here at phData, it’s the importance of: Defining and implementing processes Building automation, and Performing configuration …even before you create the first user account.

Clustering 98

Clustering Database SQL Data Pipeline 98

phData

NOVEMBER 4, 2024

Snowflake’s cloud-agnosticism, separation of storage and compute resources, and ability to handle semi-structured data have exemplified Snowflake as the best-in-class cloud data warehousing solution. Snowflake supports data sharing and collaboration across organizations without the need for complex data pipelines.

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69

Pickl AI

FEBRUARY 9, 2025

Real-Time Analytics It provides the tools needed for real-time insights, from data preparation to consumption. Collaboration and Sharing Tableau Server and Tableau Cloud facilitate collaboration, allowing teams to work together on dashboards and reports. Users can also share their creations via Tableau Public.

Tableau 52

Tableau Analytics Analytics Data Preparation 52

AWS Machine Learning Blog

OCTOBER 28, 2024

This minimizes the complexity and overhead associated with moving data between cloud environments, enabling organizations to access and utilize their disparate data assets for ML projects. You can use SageMaker Canvas to build the initial data preparation routine and generate accurate predictions without writing code.

Machine Learning 97

Machine Learning Machine Learning ML ML 97