--- description: Altair AI Studioを実際に使用したユーザーのレビューから、製品の機能や価格、メリットデメリットをご覧いただけます。類似製品との比較も簡単、ぴったりのSaaSが見つかるはず！ image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Altair AI Studioとは？ | 機能や料金、導入事例をご紹介【キャプテラ】 --- 現在地表示: [ホーム](/) > [BPMツール](/directory/30010/business-process-management/software) > [Altair AI Studio](/software/148220/Altair-AI-Studio) # Altair AI Studio Canonical: https://www.capterra.jp/software/148220/Altair-AI-Studio ページ：1 / 2\ 次へ: [次ページ](https://www.capterra.jp/software/148220/Altair-AI-Studio?page=2) > データ準備、モデル作成、モデル運用プロセスを完全に自動化して強化する、非常に優れたエンドツーエンドのデータ・サイエンス・プラットフォームです。 > > 評価：23人のユーザーによる評価は**4.4/5**。**おすすめ度**で最高の評価。 ----- ## 概要 ### Altair AI Studioの対象ユーザー データ・サイエンス、機械学習、AIの活用を検討している組織。 ## 簡単な統計と評価 | 測定基準 | 評価 | 詳細 | | **総合評価** | **4.4/5** | 23 レビュー | | 使いやすさ | 4.3/5 | レビュー全体に基づく | | カスタマー・サポート | 4.5/5 | レビュー全体に基づく | | 価格の妥当性 | 4.0/5 | レビュー全体に基づく | | 機能 | 4.5/5 | レビュー全体に基づく | | おすすめ率 | 80% | (8/10 おすすめ度) | ## 企業情報 - **キャプテラについて**: Siemens - **設立**: 1847 ## ビジネスコンテキスト - **価格モデル**: (無料版が利用可能) (無料のトライアル) - **対象となる企業**: 自営業, 2～10, 11～50, 51～200, 201～500, 501～1,000, 1,001～5,000, 5,001～10,000, 10,000+ - **デプロイとプラットフォーム**: クラウド、SaaS、ウェブベース, Mac（デスクトップ）, Windows（デスクトップ）, Windows（オンプレミス）, Linux（オンプレミス） - **サポートされる言語**: 英語 - **利用可能な国**: アイスランド, アイルランド, アゼルバイジャン, アフガニスタン, アメリカ合衆国, アラブ首長国連邦, アルジェリア, アルゼンチン, アルバニア, アルメニア, アンゴラ, アンティグア・バーブーダ, イエメン, イギリス, イスラエル, イタリア, イラク, イラン, インド, インドネシア さらに149件 ## 機能 - アクセス制御・許可 - コラボレーションツール - ダッシュボード - テキスト・マイニング - テキスト分析 - データの可視化 - データ抽出 - ノーコード - プロセスのモデリング・設計 - リンクデータ管理 - レポート／分析 - 予測モデリング - 事業予測 - 感情分析 - 機械学習 - 統計分析 - 複数データソース ## サポートのオプション - メール/ヘルプデスク - FAQ/フォーラム - ナレッジベース - 電話サポート - チャット対応有 ## Category - [BPMツール](https://www.capterra.jp/directory/30010/business-process-management/software) ## 関連カテゴリー - [BPMツール](https://www.capterra.jp/directory/30010/business-process-management/software) - [機械学習ツール](https://www.capterra.jp/directory/31103/machine-learning/software) - [DMPツール](https://www.capterra.jp/directory/32261/data-management-platforms/software) - [データマイニングツール](https://www.capterra.jp/directory/31083/data-mining/software) - [BIツール](https://www.capterra.jp/directory/23/business-intelligence/software) ## 代替製品 1. [Tableau](https://www.capterra.jp/software/77260/tableau) — 4.6/5 (2351 reviews) 2. [Domo](https://www.capterra.jp/software/119119/domo) — 4.3/5 (330 reviews) 3. [Qlik Sense](https://www.capterra.jp/software/145530/qlik-sense) — 4.5/5 (261 reviews) 4. [JMP](https://www.capterra.jp/software/151815/jmp-statistical-software) — 4.5/5 (53 reviews) 5. [Alteryx Designer](https://www.capterra.jp/software/145696/alteryx-designer) — 4.8/5 (101 reviews) ## レビュー ### "The data scientist's swiss knife: Fast and Easy Machine Learning through RapidMiner Studio" — 4.0/5 > **Maynard John** | *2019年6月11日* | 研究 | おすすめ評価：8.0/10 > > **良いポイント**: One of the daunting requirements for data scientists and data storytellers is learning a programming language such as matlab and python and writing code for their tasks. This is on top of having to analyze and learn complex algorithms needed for the task. This can be a time consuming problem, especially for those who are not adept at programming. However, this is now a thing of the past because of RapidMiner Studio. This is because RapidMiner features are drag and drop visual interface which makes all the difference. Data preparation to the final output and visualization is as simple as dragging blocks of your workflow into a canvas and connecting them altogether. RapidMiner Studio also has most of the machine learning models used in the academe and the industry. One of the difficulties when dealing with code is tweaking the parameters of these models but because of the visual interface, you could simply click on the process and update this. RapidMiner is also well documented. Each of the processes has their description, input, output, and parameters well described. Tutorial videos as well as blogs are available on their website. And finally, RapidMiner Studio has a community of data scientists that can help you when you have a question. > > **改善点**: What I found to be very inconvenient is that the application crashes at times. This may be a problem limited to my own machine. Aside from this I found that the application seems to hog my computers memory and cpu resources. This may be because the application is running on Java (VM). This may not be a problem for people with a higher spec machine. I also found that the application lacks collaboration features which may be something that they could improve on in the future. > > Overall my experience with using RapidMiner was great. It allowed me to rapidly try out different machine learning models and compare each result with one another. It also allowed me to conveniently address my workflow without having to write code. It is a great tool for students and people without a strong programming background. Its well documented functions and strong community addresses what ever questions I had with the processes. ----- ### "Great tool for data analytics\!" — 5.0/5 > **Rashid** | *2018年8月1日* | おすすめ評価：7.0/10 > > **良いポイント**: No coding skills needed\! Rapidminer is a GUI tool that you can connect boxes on a canvas to conduct data anlysis, this serves as a great introduction to data analytics. Free for students\! You can get a provisional liscence with a dot edu account. This is a great perk of the software. Data analytics and data visualization tools are available within the software with a plethora of other features\! > > **改善点**: Very buggy\! The software tends to crash often, this is especially more common with things such as neural networks etc. Limitations of some versions\! Even with the student version there is a limit of 10,000 rows of output, so if you are trying to do analysis on a 12,000 point data set , 2000 points will randomly be omitted. > > Great data analytic and visualization tool\! ----- ### "Userfriendly Interface for ETL" — 3.0/5 > **Ambreen** | *2019年3月17日* | コンピュータ・ソフトウェア | おすすめ評価：4.0/10 > > **良いポイント**: Visual workflow designer is the best part for predictive analytics. I really like drag n drop interface for generating models. Prebuilt templates are quite useful. > > **改善点**: It's not always free. You need to purchase it if you wana work with more than 10000 rows. Its processing becomes too slow (almost hangs) while working with terabyte or petabyte of data. Sometimes, it becomes difficult to handle hundreds of models available. > > It's a good platform while applying predictive analytics on any dataset with a user friendly interface to have the true picture of the future. ----- ### "I never had guessed that Data Science software was so easy" — 5.0/5 > **Roberto** | *2020年2月27日* | 通信 | おすすめ評価：10.0/10 > > **良いポイント**: The easiness of use, the support team, the video tutorials of the company, the career certification program, the visualization module has been upgraded, the integration capabilities to R, Python and Hadoop. > > **改善点**: Actually the only complaint I have is that the sw didnt make it in the "LEADERS" quadrant of Gardner. > > As being an old time user of data mining project using open programming languages, I found extremely useful all the features of Rapid Miner. Form preparing the data, creating predictive models and potting them in a visualized presentation. ----- ### "Excellent tool for Data Mining" — 5.0/5 > **Khurram** | *2018年11月20日* | 高等教育 | おすすめ評価：10.0/10 > > **良いポイント**: Started using this software a few months ago, and its shear power is amazing. The number of things the user can do with this software are amazing > > **改善点**: Sometimes, while handling big data, like having large number of examples and attributes, it takes a lot of time. The cumulative time increase, when the user is optimizing manually different attributes based on the results ----- ページ：1 / 2\ 次へ: [次ページ](https://www.capterra.jp/software/148220/Altair-AI-Studio?page=2) ## リンク - [Capterraで表示する](https://www.capterra.jp/software/148220/Altair-AI-Studio) ## このページは以下の言語で利用できます | ロケール | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ja | | | ko | | | nb | | | pt | | | pt-PT | | ----- ## 構造化データ