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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
aziende
Abbiamo dati su 15 aziende che usano BigML. La nostra lista di clienti BigML è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
ASITUR ASISTENCIA | Spagna | Insurance | 420 | |
Aerovine | Stati Uniti | It Services And It Consulting | 3 | |
Boston Scientific Corporation | Stati Uniti | Medical Equipment Manufacturing | 41K | $13B |
Spagna | Civil Engineering | 18 | ||
Hydro | Norvegia | Mining | 35K | $22B |
Asitur | Spagna | Insurance | 390 | |
Indra | Spagna | It Services And It Consulting | 57K | $4.2B |
ProsperBot | Stati Uniti | Financial Services | 3 | |
Stati Uniti | Business Consulting And Services | |||
Oxigent Technologies | Spagna | It Services And It Consulting | 151 | |
Boston Scientific | Stati Uniti | Medical Equipment Manufacturing | 45K | |
Kyndryl | Stati Uniti | It Services And It Consulting | 90K | $19B |
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Statistiche sull'Uso delle Tecnologie e Quota di Mercato
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Ci sono 18 alternative a BigML
BigML è utilizzata in 3 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano BigML visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 15 aziende che utilizzano BigML.
BigML è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano BigML, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano BigML includono ASITUR ASISTENCIA, Aerovine, Boston Scientific Corporation, Master Plan SL, Hydro, Asitur, Indra, ProsperBot, INDRA S.A de C.V, Oxigent Technologies e molte altre. Puoi trovare un elenco completo di 15 aziende che utilizzano BigML su TheirStack.com.
Secondo i nostri dati, BigML è più popolare in Stati Uniti (8 companies), Spagna (5 companies), Norvegia (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano BigML cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.