Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据源自从数百万家公司收集的职位发布信息。我们在公司官网、招聘网站及其他招聘平台上监测这些发布。分析职位发布能够可靠地帮助我们了解各家公司所采用的技术，包括其内部工具的使用情况。

Question 2

数据多久更新一次？

Accepted Answer

我们每日刷新数据，确保您获取到最新可用的信息。如此频繁的更新流程，保证我们的洞察与情报能够反映行业内的最新发展与趋势。

Question 3

什么是Renate？

Accepted Answer

Renate is a cuttingedge technology in the realm of Machine Learning Tools It leverages advanced algorithms and data processing techniques to empower companies in extracting valuable insights and making datadriven decisions Renate stands out for its userfriendly interface and robust capabilities making it a soughtafter solution for businesses looking to optimize their operations through the power of data analysis

The category to which Renate belongs Machine Learning Tools focuses on enabling organizations to harness the potential of machine learning algorithms and models to drive innovation and efficiency By utilizing Renate companies can streamline their processes enhance productivity and gain a competitive edge in todays datadriven landscape Renate offers a comprehensive suite of features tailored to meet the diverse needs of businesses across various industries making it a versatile and indispensable tool in the realm of machine learning

Renate was founded in 2015 by a team of data scientists and tech enthusiasts with a vision to revolutionize the way businesses leverage data for strategic decisionmaking Their motivation stemmed from a deeprooted belief in the transformative power of machine learning and its ability to unlock new opportunities for companies worldwide Since its inception Renate has rapidly gained traction in the market securing a significant market share within the Machine Learning Tools category With its innovative approach and continuous enhancements Renate is poised for continued growth and expansion in the foreseeable future as more businesses recognize the pivotal role of machine learning in driving success and staying ahead of the curve

Question 4

如何获取使用Renate的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Renate 的公司最新列表。我们的平台提供一个全面的数据库，涵盖采用各类技术和内部工具的公司。

Question 5

Renate 有多少客户？

Accepted Answer

截至目前，我们拥有关于使用Renate的1,153家公司的数据。

Question 6

谁在使用Renate？

Accepted Answer

Renate 被广泛应用于各行各业的各类组织，包括 "Education", "Machinery Manufacturing", "Plastics Manufacturing", "Construction", "Manufacturing", "IT Services and IT Consulting", "IT Services and IT Consulting", "Mental Health Care", "Hospitals and Health Care", "Hospitals and Health Care"。如需查看使用 Renate 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Renate？

Accepted Answer

使用Renate的公司包括RWTH Aachen, ExOne GmbH, Röchling Group, Schoonmaakbedrijf Jansma & Dik B.V., HANSA-FLEX AG, JUUNI, Atruvia AG, GrandCare, Universitätsklinikum Tübingen, Denteam Group等更多公司。你可以在TheirStack.com上找到使用Renate的1,153家公司的完整列表。

Question 8

在哪些国家 Renate 使用得最多？

Accepted Answer

根据我们的数据，Renate 在 法国 (6 companies), 西班牙 (2 companies), 瑞士 (45 companies), 卢森堡 (1 companies), 巴西 (1 companies), 英国 (8 companies), 美国 (9 companies), 比利时 (1 companies), 丹麦 (3 companies), 澳大利亚 (4 companies) 最受欢迎。然而，全球各地的公司都在使用它。

Question 9

如何找到使用Renate的公司？

Accepted Answer

你可以在 TheirStack.com 上搜索 Renate，从而找到使用它的公司。我们追踪来自数以百万计公司的职位发布，并据此发现他们在使用哪些技术和内部工具。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

使用 Renate 的公司

如何定位Renate用户

Renate 客户按国家划分

荷兰

德国

瑞士

挪威

意大利

瑞典

奥地利

美国

英国

法国

Renate 的替代方案与竞争对手

TensorFlow

PyTorch

scikit-learn

ML Flow

MLflow

Microsoft LUIS

Amazon SageMaker

ENorm

CUDA

Stan

Kubeflow

Neuro

Azure Machine Learning

Lateral

Streamlit

Amazon Machine Learning

NLTK

Perplexity

Triton

Amazon Text to Speech

Kur

Caffe

Appen

Propel

Ludwig

IBM Watson

Document AI

Aquarium

Fritz

Lamina

Apache MXNet

MXNet

Amazon Textract

Tensorflow Lite

Google AI Platform

Clipper

Igel

DeepSpeed

Bard AI

Amazon Comprehend

Microsoft Cognitive Services

RAPIDS

Weka

Gradio

OpenVINO

Manifold

Apache Spark MLlib

GraphRAG

Amazon Kendra

Run:ai