Recently, the global research institution Forrester released the recent report titled 'The Forrester Wave' ™: AI/ML Platforms In China, Q4 2023 "report (hereinafter referred to as " the Report "). With the continuous development and application of the machine learning platform, which is the core of artificial intelligence foundation software, DataCanvas has been listed as an "contender" in this report.

Image fromThe Forrester Wave™: AI/ML Platforms In China, Q4 2023

Forrester is one of the most influential independent research and consulting companies in the world. The Forrester Wave report comprehensively evaluate the product and service capabilities of IT suppliers, which is highly authoritative and influential globally. It is also an important reference material for enterprises in the process of selecting and evaluating suppliers. This AI/ML report focuses on top AI/ML vendors in China, and rigorously evaluates them using multiple important indicators from three dimensions: current offering, strategy, and market presence as evaluation criteria. DataCanvas is among vendors selected for the report. Within the Current Offering category, DataCanvas received the highest score possible in the Runtime criterion.

“DataCanvas is a good choice for firms seeking unified data management and AI model development capabilities in multicloud and hybrid cloud environments.”

——The Forrester Wave™: AI/ML Platforms In China, Q4 2023

The report states that DataCanvas “has superior capabilities in architecture runtime and provides the richest official support for public and private clouds in China. DataCanvas has solid offerings for major data management capabilities, including exploration, preparation, and feature engineering, as well as the tooling and algorithms for model training, inferencing targets, and architecture design.”

The Forrester report states that DataCanvas contributes substantially to a range of data science areas, and reference customers praise its open source algorithms, product maturity, and user experience. We believe that this is the result of DataCanvas' years of implementing product openness and continuously contributing to the open source community. In addition to the YLearn (causal learning software), Hypernets( automatic machine learning development framework), and DeepTables （deep learning tools for structured data） mentioned in the report, the company's open source ecosystem is keeping up with the times, with the addition of DataCanvas Alaya LLM and DingoDB multimodal vector database, providing users with a complete set of high-performance open tools from multimodal data to AI model construction.

As a company specializing in artificial intelligence foundation software, DataCanvas is renowned for its "open, automated, and cloud native" AI software products. Through the two major product systems of AIFS (Artificial Intelligence Foundation Software) and DataPilot, DataCanvas empowers end-users to independently build "large+small" models. At the same time, DataCanvas actively promotes various large-scale model application solutions, such as enterprise knowledge management solution, to overcome the challenges of private domain multimodal data management and application, empower enterprises to build highly automated and intelligent enterprise knowledge bases, and further reduce model application barriers.

With the further upgrading of the "cloud in clouds" strategy, DataCanvas has created an integrated "algorithm+computing power" service with upstream and downstream partners such as cloud vendors and intelligent computing centers through artificial intelligence foundation software. This has expanded the performance and functional areas of artificial intelligence platform tools, further unleashing the value of AI software, and promoting the development and application of artificial intelligence technology in the era of large models.