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BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.
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Unternehmen
Wir haben Daten zu 15 Unternehmen, die BigML verwenden. Unsere BigML 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 |
---|---|---|---|---|
ASITUR ASISTENCIA | Spanien | Insurance | 420 | |
Aerovine | Vereinigte Staaten | It Services And It Consulting | 3 | |
Boston Scientific Corporation | Vereinigte Staaten | Medical Equipment Manufacturing | 41K | $13B |
Spanien | Civil Engineering | 18 | ||
Hydro | Norwegen | Mining | 35K | $22B |
Asitur | Spanien | Insurance | 390 | |
Indra | Spanien | It Services And It Consulting | 57K | $4.2B |
ProsperBot | Vereinigte Staaten | Financial Services | 3 | |
Vereinigte Staaten | Business Consulting And Services | |||
Oxigent Technologies | Spanien | It Services And It Consulting | 151 | |
Boston Scientific | Vereinigte Staaten | Medical Equipment Manufacturing | 45K | |
Kyndryl | Vereinigte Staaten | It Services And It Consulting | 90K | $19B |
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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.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
Es gibt 18 Alternativen zu BigML
BigML wird in 3 Ländern verwendet
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.
BigML is a powerful technology in the realm of Machine Learning as a Service, offering a user-friendly platform that enables organizations to harness the potential of machine learning without extensive expertise in data science. With BigML, users can easily create, deploy, and manage machine learning models to derive valuable insights from their data, making it a popular choice among businesses looking to leverage the power of AI.
Founded in 2011 by the team behind Strands, a leading fintech company, BigML was created with the vision of democratizing machine learning and making it accessible to a broader audience. The motivation behind the inception of BigML was to simplify the complexities of traditional machine learning methodologies and provide a streamlined solution for businesses to incorporate AI into their operations with ease.
In terms of market share, BigML has gained significant traction within the Machine Learning as a Service category, with a growing user base and a strong presence in various industries such as finance, healthcare, and e-commerce. As organizations continue to embrace data-driven decision-making, the demand for machine learning solutions like BigML is expected to rise, indicating a positive outlook for its future market share growth. With its intuitive interface and robust features, BigML is well-positioned to maintain and expand its market presence in the evolving landscape of AI technologies.
BigML provides companies with a robust Machine Learning as a Service (MLaaS) platform that offers numerous benefits for businesses looking to leverage the power of machine learning in their operations.
BigML offers a user-friendly interface that simplifies the process of creating and deploying machine learning models. Unlike traditional machine learning frameworks that require extensive coding and technical expertise, BigML allows users to easily build, test, and deploy models with minimal effort. This enhanced efficiency enables companies to accelerate their machine learning projects and bring innovative solutions to market faster.
With BigML, companies can seamlessly scale their machine learning initiatives as their data and business requirements evolve. The platform supports a wide range of machine learning algorithms and techniques, empowering organizations to tackle diverse use cases and extract valuable insights from their data. This scalability and flexibility set BigML apart from other MLaaS solutions that may have limited capabilities or scalability constraints.
BigML offers a comprehensive feature set that includes data preprocessing, model evaluation, and predictive analytics tools. This all-in-one platform simplifies the end-to-end machine learning process and enables companies to derive actionable insights from their data effectively. By consolidating these features in a single platform, BigML streamlines the machine learning workflow and eliminates the need for integrating multiple tools, providing a more cohesive and seamless user experience.
BigML seamlessly integrates with existing data sources, business applications, and cloud services, making it easy for companies to incorporate machine learning into their existing workflow. This seamless integration ensures that organizations can leverage their data effectively and maximize the value of their machine learning investments. Unlike standalone MLaaS solutions that may require extensive customization and integration efforts, BigML offers out-of-the-box compatibility with a wide range of systems and services, simplifying the adoption process for businesses of all sizes.
BigML is a popular Machine Learning as a Service technology utilized by several prominent companies across various industries. Let's delve into some real-world case studies showcasing how companies leverage BigML for data-driven decision-making:
Company: Telefónica
Telefónica, a leading telecommunications provider, incorporated BigML into its operations to enhance customer experience and optimize network infrastructure. Since adopting BigML in 2017, Telefónica has been able to analyze vast amounts of data to predict network issues proactively, resulting in improved service reliability and customer satisfaction.
Company: KPMG
KPMG, a global professional services firm, has been utilizing BigML since 2016 to streamline its audit processes and enhance risk assessment capabilities. By leveraging BigML's predictive modeling algorithms, KPMG can identify potential risks more accurately and efficiently, enabling them to offer data-driven insights to their clients.
Company: Covestro
Covestro, a leading global supplier of high-tech polymer materials, integrated BigML into its manufacturing processes in 2018 to optimize production efficiency and quality control. By harnessing BigML's machine learning capabilities, Covestro can analyze real-time operational data to predict equipment failures, minimize downtime, and ensure consistent product quality.
These real-world examples demonstrate how companies like Telefónica, KPMG, and Covestro have successfully leveraged BigML to drive innovation, improve operational efficiency, and deliver value to their customers. By harnessing the power of machine learning as a service, these companies have unlocked new opportunities for growth and competitiveness in their respective industries.
Sie können eine aktuelle Liste von Unternehmen, die BigML 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 15 Unternehmen, die BigML verwenden.
BigML wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Insurance", "It Services And It Consulting", "Medical Equipment Manufacturing", "Civil Engineering", "Mining", "Insurance", "It Services And It Consulting", "Financial Services", "Business Consulting And Services", "It Services And It Consulting", verwendet. Für eine umfassende Liste aller Branchen, die BigML nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die BigML verwenden, umfassen ASITUR ASISTENCIA, Aerovine, Boston Scientific Corporation, Master Plan SL, Hydro, Asitur, Indra, ProsperBot, INDRA S.A de C.V, Oxigent Technologies und viele mehr. Sie können eine vollständige Liste von 15 Unternehmen, die BigML nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist BigML am beliebtesten in Vereinigte Staaten (8 companies), Spanien (5 companies), Norwegen (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die BigML 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.