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H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
私たちはH2Oを使用している1,099社のデータを持っています。このキュレーションリストはダウンロード可能で、業界分類、組織の規模、地理的位置、資金調達ラウンド、収益数値などの重要な会社の詳細が含まれています。
会社 | 国 | 業界 | 従業員 | 収益 |
---|---|---|---|---|
Winn-Marion Companies | アメリカ合衆国 | Oil And Gas | 201 | $5.5M |
ad publica Public Relations GmbH | ドイツ | Broadcast Media Production And Distribution | 27 | |
AT&T | アメリカ合衆国 | Telecommunications | 173K | |
![]() Openly | アメリカ合衆国 | Insurance | 334 | |
Regions | アメリカ合衆国 | Banking | 10K | $7.2B |
BMO Financial Group | カナダ | Financial Services | 52K | $25B |
BMO Harris Bank | カナダ | Financial Services | 52K | $25B |
Bank of America | アメリカ合衆国 | Banking | 208K | |
American Family Insurance | アメリカ合衆国 | Insurance | 18K | $13M |
H2O Innovation USA | カナダ | Manufacturing | 501 | |
Mars | アメリカ合衆国 | Manufacturing | 130K | $45B |
FirstLight Power | アメリカ合衆国 | Sports And Recreation Instruction | 65 | $8M |
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技術使用統計と市場シェア
このデータは、地理、業界、企業規模、収益、技術使用状況、求人情報などでフィルタリングすることにより、あなたのニーズに合わせてカスタマイズできます。データはExcelまたはCSV形式でダウンロードできます。
このデータのアラートを受け取ることができます。興味のある技術を選択すると、その技術を使用している新しい企業がある場合に受信ボックスにアラートが届きます。
彼のデータをExcelファイルにエクスポートでき、それはあなたのCRMにインポートできます。また、そのデータをAPIにエクスポートすることもできます。
H2Oは33か国で使用されています
H2Oには76の代替案があります。
21,6k
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よくある質問
私たちのデータは、何百万もの企業から収集された求人情報に基づいています。私たちはこれらの求人情報を企業のウェブサイト、求職掲示板、およびその他の採用プラットフォームで監視しています。求人情報を分析することで、企業が使用している技術や内部ツールの利用状況を理解するための信頼性の高い方法を提供します。
私たちはデータを毎日更新して、利用可能な最新の情報にアクセスできるようにしています。この頻繁な更新プロセスにより、私たちのインサイトとインテリジェンスが業界内の最新の展開とトレンドを反映していることを保証します。
H2O is a powerful open-source platform that specializes in machine learning and artificial intelligence. It is designed to make it easier for businesses and data scientists to develop and deploy sophisticated predictive models. H2O leverages advanced algorithms to process and analyze vast amounts of data quickly, enabling users to extract valuable insights and make informed decisions based on data-driven predictions.
Within the category of Machine Learning Tools, H2O stands out as a versatile and user-friendly solution that offers a wide range of capabilities for developing predictive models. From data preprocessing to model training and evaluation, H2O provides a comprehensive set of tools that streamline the machine learning workflow. Its intuitive interface and support for popular programming languages like Python and R make it accessible to users with varying levels of technical expertise.
Founded in 2012 by the team at H2O.ai, led by CEO Sri Ambati, H2O's mission was to democratize artificial intelligence and make machine learning accessible to organizations of all sizes. The company's vision was to empower businesses to harness the power of data and drive innovation through advanced analytics. Since its inception, H2O has been at the forefront of developing cutting-edge machine learning technologies and has established itself as a leading provider of predictive analytics solutions.
Currently, H2O holds a significant market share within the Machine Learning Tools category, with a strong presence in industries such as finance, healthcare, and technology. As the demand for advanced analytics solutions continues to grow, H2O is well-positioned to expand its market share further in the future. With ongoing developments in AI and machine learning, H2O is poised to continue innovating and delivering value to its users, anticipating a continued growth trajectory in the coming years.
Companies choose H2O for its cutting-edge capabilities in the field of Machine Learning Tools. H2O is a powerful and versatile platform that empowers businesses to harness the full potential of their data through advanced analytics and predictive modeling.
H2O's sophisticated algorithms enable companies to process vast amounts of data quickly and accurately, allowing for faster decision-making and more precise insights compared to traditional methods.
One of the key advantages of H2O is its scalability, which allows companies to effortlessly handle growing data volumes and complex analytics requirements. Unlike other similar technologies, H2O offers unmatched flexibility in adapting to changing business needs without compromising performance.
H2O boasts a comprehensive set of features that cater to diverse use cases, ranging from data preprocessing to model deployment. This all-in-one approach sets it apart from other tools by providing seamless end-to-end capabilities without the need for multiple platforms.
With H2O, companies can achieve superior model performance through its advanced tuning capabilities and ensemble learning techniques. This results in more accurate predictions and better outcomes compared to conventional machine learning tools.
In summary, companies leverage H2O not only for its state-of-the-art technology but also for its unparalleled efficiency, scalability, feature set, and model performance in the realm of Machine Learning Tools.
H2O.ai is a popular open-source machine learning platform used by a variety of companies across different industries. Below are some real-life case studies showcasing how companies have leveraged H2O for data-driven insights and analytics:
1. Wells Fargo Wells Fargo, one of the largest financial institutions in the United States, utilizes H2O for advanced predictive analytics and risk assessment. They adopted H2O in 2017 to enhance their fraud detection capabilities and improve customer security. By leveraging H2O's machine learning algorithms, Wells Fargo can now detect unusual patterns in transactions more efficiently, providing a safer banking experience for their customers.
2. Progressive Insurance Progressive Insurance, a leading provider of auto insurance, integrated H2O into their data analytics processes to optimize underwriting and claims management. Since implementing H2O in 2018, Progressive has significantly streamlined their policy pricing models and claims processing systems. The use of H2O has enabled Progressive to analyze vast amounts of customer data rapidly, leading to more accurate risk evaluation and improved operational efficiency.
3. Booking.com Booking.com, a renowned online travel agency, has harnessed the power of H2O for personalized recommendation engines and dynamic pricing strategies. By incorporating H2O into their data infrastructure in 2016, Booking.com has been able to tailor travel recommendations to individual user preferences and optimize pricing based on real-time market conditions. The application of H2O has not only enhanced the user experience on Booking.com but also increased revenue through targeted offerings.
These case studies exemplify how companies such as Wells Fargo, Progressive Insurance, and Booking.com have successfully utilized H2O for various applications in machine learning and advanced analytics. Gaining insights from large datasets and improving decision-making processes are key benefits these organizations have achieved through the adoption of H2O.ai's technology.
TheirStack.com を訪問すると、H2O を使用している企業の最新リストにアクセスできます。当社のプラットフォームは、さまざまな技術や内部ツールを活用している企業の包括的なデータベースを提供します。
現在、1,099 社が H2O を使用しているデータを保持しています。
H2O は "Oil And Gas", "Broadcast Media Production And Distribution", "Telecommunications", "Insurance", "Banking", "Financial Services", "Financial Services", "Banking", "Insurance", "Manufacturing" を含む様々な業界の多様な組織によって使用されています。H2O を利用しているすべての業界の包括的なリストについては、TheirStack.com をご覧ください。
H2O を使用している企業の中には、Winn-Marion Companies, ad publica Public Relations GmbH, AT&T, Openly, Regions, BMO Financial Group, BMO Harris Bank, Bank of America, American Family Insurance, H2O Innovation USA などが含まれています。他にも多くの企業があります。H2O を使用している 1,099 社の完全なリストは TheirStack.com で見つけることができます。
私たちのデータによれば、H2O は アメリカ合衆国 (426 companies), イギリス (53 companies), スペイン (43 companies), フランス (39 companies), インド (35 companies), カナダ (29 companies), オランダ (25 companies), ドイツ (19 companies), オーストラリア (8 companies), イタリア (7 companies) で最も人気があります。しかし、世界中の企業で使用されています。
TheirStack.comでH2Oを検索することにより、{technology.name}を使用している企業を見つけることができます。 theirstackは、数百万の企業からの求人情報を追跡し、それらが使用している技術や内部ツールを発見します。