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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.
1,099
Unternehmen
Wir haben Daten zu 1,099 Unternehmen, die H2O verwenden. Unsere H2O Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Winn-Marion Companies | Vereinigte Staaten | Oil And Gas | 201 | $5.5M |
ad publica Public Relations GmbH | Deutschland | Broadcast Media Production And Distribution | 27 | |
AT&T | Vereinigte Staaten | Telecommunications | 173K | |
![]() Openly | Vereinigte Staaten | Insurance | 334 | |
Regions | Vereinigte Staaten | Banking | 10K | $7.2B |
BMO Financial Group | Kanada | Financial Services | 52K | $25B |
BMO Harris Bank | Kanada | Financial Services | 52K | $25B |
Bank of America | Vereinigte Staaten | Banking | 208K | |
American Family Insurance | Vereinigte Staaten | Insurance | 18K | $13M |
H2O Innovation USA | Kanada | Manufacturing | 501 | |
Mars | Vereinigte Staaten | Manufacturing | 130K | $45B |
FirstLight Power | Vereinigte Staaten | Sports And Recreation Instruction | 65 | $8M |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
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H2O wird in 33 Ländern verwendet
Es gibt 76 Alternativen zu H2O
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
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.
Sie können eine aktuelle Liste von Unternehmen, die H2O verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 1,099 Unternehmen, die H2O verwenden.
H2O wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Oil And Gas", "Broadcast Media Production And Distribution", "Telecommunications", "Insurance", "Banking", "Financial Services", "Financial Services", "Banking", "Insurance", "Manufacturing", verwendet. Für eine umfassende Liste aller Branchen, die H2O nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die H2O verwenden, umfassen 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 und viele mehr. Sie können eine vollständige Liste von 1,099 Unternehmen, die H2O nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist H2O am beliebtesten in Vereinigte Staaten (426 companies), Vereinigtes Königreich (53 companies), Spanien (43 companies), Frankreich (39 companies), Indien (35 companies), Kanada (29 companies), Niederlande (25 companies), Deutschland (19 companies), Australien (8 companies), Italien (7 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die H2O verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.