DATA SCIENCE
AND ARTIFICIAL INTELLIGENCE
The promise of applying AI to marketing is to allow brands and partners to analyze and use much larger pools of data that are accessible today. Ultimately, AI and machine learning (ML) solutions should allow for data-driven marketing to reach a much higher level by enabling extraction of more granular insights from data and improving forecasting or segmentation precision. These platforms help data scientists and analysts build and deploy models used for automating, assuring, and accelerating predictive analytics, as well as automating decision engines, propensity models, and audience selection
Ranked Sorted Partners by Index Score
The Ranked Sorted Partners by Index Score chart plots the calculated scores of all solutions evaluated in the category in descending order. The dot and index score represents the cutoff threshold of the Leaders in the category. See the Methodology page for more info.
TYPES OF SOLUTIONS
AI/ML platforms, predictive analytics
LEADERS
Alteryx: The Alteryx Analytics Automation Platform accelerates your data from access and preparation to analysis and predictions, with a powerful, easy to use, end-to-end platform; while the Snowflake Data Cloud makes data management flexible, scalable, and highly secure. Together, Alteryx and Snowflake make it easy and accessible for everyone in an enterprise, across departments and skill levels, to quickly transform data into actionable insights.
Amazon SageMaker Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for ML via a visual interface. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. A key accelerator of data preparation is the Data Quality and Insights Report, which checks data quality and helps detect abnormalities in your data. Organizations can use Snowflake as a data source in Amazon SageMaker Data Wrangler to easily prepare data in Snowflake for
Dataiku is one central solution for the design, deployment, and management of AI applications. Dataiku and Snowflake deliver cloud-optimized, enterprise-ready AI solutions that enable technical and non-technical users to easily and quickly build, deploy, and monitor many types of data science projects such as machine learning and deep learning. Organizations can now acquire crucial insights to make better business decisions and drive new business opportunities at scale. Dataiku and Snowflake are complementary solutions that combine Snowflake’s highly scalable computational power and processing flexibility with Dataiku’s machine learning and model management capabilities.
DataRobot is an end-to-end AI/ML platform that supports automated machine learning and code first to build and deploy accurate predictive models quickly, and accelerate ML workloads and use cases for organizations. DataRobot takes advantage of the seamless access to all data types stored in the Snowflake Data Cloud, including data from Snowflake Marketplace and data sharing, to accelerate the model development lifecycle and move it to production, enabling the creation of trusted, explainable, and scalable models across the business. Marketing is one of the verticals using DataRobot to determine the effectiveness of marketing activities and operations, accurately target customers, advance the buying journey toward purchase, and improve customer relationships.
H2o.ai built a native integration that allows users to access all of H2O.ai’s advanced machine learning capabilities directly from their Snowflake environment. Through multiple pre-built integrations, users can easily leverage H2O.ai machine learning for real-time analysis from within the Snowflake toolset. This shortens learning cycles, significantly reduces processing times, ensures predictions are based on the most recent data, and makes those predictions available to any application built on top of Snowflake.
ONES TO WATCH
Hex is a platform for collaborative data science and analytics that is gaining market momentum through its ability to bring together data scientists, business analysts, and consumers of analytics in a unified workspace. Hex offers a classic notebook feel with modern capabilities such as SQL and Python cells with full compute pushdown, low-code cells, Snowpark cells, and integrations with key components of the modern data stack such as dbt and GitHub. Hex makes it easy for data teams to collaborate and deploy notebooks as applications for business-wide consumption. With Hex, organizations build and deploy advanced data science models that enhance the efficiency and scale of their marketing campaigns.
Tecton.ai feature platform for Machine Learning provides the simplest and most reliable way to operationalize Snowflake data for real-time ML use cases such as fraud detection, product recommendations, search, risk assessment, and pricing. Tecton is a fully-managed cloud service that automates ML data pipelines, stores historical and online feature data, and provides simple APIs to serve data for online serving and model training. Tecton provides first-class integrations with Snowflake's Cloud Data Platform, allowing it to ingest raw data from Snowflake, transform data using Snowflake processing, and curate historical feature data on Snowflake. Tecton supports Snowpark, allowing organizations to transform data using Python on Snowflake. In addition to the Tecton feature platform, Tecton is also the main contributor to Feast, the leading open source feature store, also tightly integrated with Snowflake.
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