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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.
15
entreprises
Nous disposons de données sur 15 entreprises qui utilisent BigML. Notre liste de clients BigML est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
ASITUR ASISTENCIA | Espagne | Insurance | 420 | |
Aerovine | États-Unis | It Services And It Consulting | 3 | |
Boston Scientific Corporation | États-Unis | Medical Equipment Manufacturing | 41K | $13B |
Espagne | Civil Engineering | 18 | ||
Hydro | Norvège | Mining | 35K | $22B |
Asitur | Espagne | Insurance | 390 | |
Indra | Espagne | It Services And It Consulting | 57K | $4.2B |
ProsperBot | États-Unis | Financial Services | 3 | |
États-Unis | Business Consulting And Services | |||
Oxigent Technologies | Espagne | It Services And It Consulting | 151 | |
Boston Scientific | États-Unis | Medical Equipment Manufacturing | 45K | |
Kyndryl | États-Unis | It Services And It Consulting | 90K | $19B |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
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Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
BigML est utilisé dans 3 pays
Il y a 18 alternatives à BigML
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
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.
Vous pouvez accéder à une liste actualisée des entreprises utilisant BigML en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 15 entreprises qui utilisent BigML.
BigML est utilisé par une large gamme d'organisations dans divers secteurs, y compris "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". Pour une liste complète de tous les secteurs utilisant BigML, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent BigML incluent ASITUR ASISTENCIA, Aerovine, Boston Scientific Corporation, Master Plan SL, Hydro, Asitur, Indra, ProsperBot, INDRA S.A de C.V, Oxigent Technologies et bien d'autres encore. Vous pouvez trouver une liste complète des 15 entreprises qui utilisent BigML sur TheirStack.com.
Selon nos données, BigML est le plus populaire dans États-Unis (8 companies), Espagne (5 companies), Norvège (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant BigML en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.