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This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
2,313
aziende
Abbiamo dati su 2,313 aziende che usano Amazon Machine Learning. La nostra lista di clienti Amazon Machine Learning 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 |
---|---|---|---|---|
Amazon.com | Stati Uniti | Retail | 10K | $50M |
Amazon Web Services (AWS) | Stati Uniti | It Services And It Consulting | 128K | |
myGwork - LGBTQ+ Business Community | Regno Unito | Technology, Information And Internet | 153 | |
Amazon Dev Center U.S., Inc. | Stati Uniti | Appliances, Electrical, And Electronics Manufacturing | 5.9K | $50M |
Annapurna Labs (U.S.) Inc. | Stati Uniti | Retail | 10K | $50M |
AWS EMEA SARL (UK Branch) | Stati Uniti | Retail | 10K | $50M |
Cognizant Technology Solutions | Stati Uniti | It Services And It Consulting | 341K | $19B |
Vodafone | Regno Unito | Telecommunications | 137K | $60B |
![]() Amazon | Stati Uniti | Software Development | 770K | |
Fannie Mae | Stati Uniti | Financial Services | 13K | $29B |
General Dynamics Information Technology | Stati Uniti | It Services And It Consulting | 103K | $7.9B |
Uplers | India | It Services And It Consulting | 1.2K | $772M |
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Amazon Machine Learning è utilizzata in 51 paesi
Ci sono 18 alternative a Amazon Machine Learning
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Amazon Machine Learning is a cloud-based service provided by Amazon Web Services (AWS) that enables developers to build and deploy machine learning models. It simplifies the process of creating predictive models without requiring extensive machine learning expertise, making it accessible to a wider audience of users. With Amazon Machine Learning, users can generate predictions for their applications based on data stored in Amazon S3, Redshift, or RDS.
Machine Learning as a Service (MLaaS) is the category to which Amazon Machine Learning belongs. MLaaS platforms offer machine learning capabilities through cloud-based services, allowing businesses to leverage the power of machine learning without the need to maintain complex infrastructure or hire specialized data science teams. Amazon Machine Learning falls under this category as a user-friendly tool that empowers organizations to incorporate machine learning into their applications and processes seamlessly.
Amazon Machine Learning was founded by Amazon Web Services in April 2015. The motivation behind its creation was to democratize machine learning by providing a simple yet powerful platform that could be utilized by developers, data scientists, and business professionals alike. By offering a user-friendly interface and automated model training, Amazon Machine Learning aimed to make machine learning accessible to a broader audience and accelerate innovation in this field.
As of the latest data, Amazon Machine Learning holds a significant market share within the Machine Learning as a Service category. With the continuous expansion of AWS services and the growing demand for machine learning capabilities in various industries, it is forecasted that Amazon Machine Learning's market share will continue to grow in the future. As more businesses recognize the value of incorporating machine learning into their operations, platforms like Amazon Machine Learning are poised to play a crucial role in driving innovation and driving business success.
Machine Learning as a Service (MLaaS) solutions like Amazon Machine Learning have become essential tools for companies looking to leverage the power of machine learning without the need for extensive expertise or infrastructure. By utilizing Amazon Machine Learning, businesses can streamline their data analysis processes, gain valuable insights, and make data-driven decisions with ease.
Amazon Machine Learning offers a user-friendly interface that allows even non-technical users to build and deploy machine learning models quickly. This simplicity sets it apart from other similar technologies, making it ideal for teams without specialized data science skills.
With Amazon Machine Learning, companies can easily scale their machine learning projects as their data and performance requirements grow. The ability to seamlessly adjust resources without significant overhead makes it a flexible and cost-effective choice for businesses of all sizes.
Amazon Machine Learning integrates seamlessly with other Amazon Web Services, enabling companies to leverage their existing tech stack efficiently. This tight integration simplifies workflows and data pipelines, providing a more streamlined experience compared to piecemeal solutions.
Amazon Machine Learning boasts robust performance capabilities, allowing for quick model training and accurate predictions. The underlying infrastructure ensures reliable results, outperforming many standalone machine learning libraries in terms of speed and accuracy.
By harnessing the capabilities of Amazon Machine Learning, companies can unlock the full potential of their data and drive innovation across their organizations.
Amazon Machine Learning is widely utilized across various industries by companies seeking to harness the power of advanced machine learning capabilities and drive innovation in their operations. Here are some real-world case studies showcasing the practical applications of Amazon Machine Learning:
1. Zocdoc: Zocdoc, a popular healthcare scheduling platform, leverages Amazon Machine Learning to optimize patient matching with healthcare providers. By utilizing Amazon ML algorithms, Zocdoc has enhanced its recommendation systems, enabling patients to book appointments with more accuracy and efficiency. Zocdoc started utilizing Amazon Machine Learning in early 2018, leading to improved user experience and increased appointment bookings.
2. Pinterest: Pinterest, the image-sharing and social media platform, integrates Amazon Machine Learning into its content recommendation engine. By analyzing user interactions with pins and boards, Pinterest effectively tailors content recommendations to enhance user engagement. The implementation of Amazon ML has significantly improved the relevancy of suggested content, driving user retention and platform usage. Pinterest incorporated Amazon Machine Learning into its platform in late 2017, marking a pivotal shift in its content personalization strategy.
3. Benefitfocus: Benefitfocus, a cloud-based benefits management platform, harnesses Amazon Machine Learning to streamline benefits administration processes. By leveraging advanced ML models, Benefitfocus automates data analysis, allowing organizations to make data-driven decisions regarding employee benefits. Benefitfocus adopted Amazon Machine Learning in 2019, revolutionizing the efficiency and accuracy of benefits management for their clients.
These case studies exemplify the diverse applications of Amazon Machine Learning in real-world scenarios, showcasing how leading companies leverage this technology to drive innovation, enhance user experiences, and optimize business processes.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Amazon Machine Learning 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 2,313 aziende che utilizzano Amazon Machine Learning.
Amazon Machine Learning è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Retail", "It Services And It Consulting", "Technology, Information And Internet", "Appliances, Electrical, And Electronics Manufacturing", "Retail", "Retail", "It Services And It Consulting", "Telecommunications", "Software Development", "Financial Services". Per un elenco completo di tutti i settori che utilizzano Amazon Machine Learning, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Amazon Machine Learning includono Amazon.com, Amazon Web Services (AWS), myGwork - LGBTQ+ Business Community, Amazon Dev Center U.S., Inc., Annapurna Labs (U.S.) Inc., AWS EMEA SARL (UK Branch), Cognizant Technology Solutions, Vodafone, Amazon, Fannie Mae e molte altre. Puoi trovare un elenco completo di 2,313 aziende che utilizzano Amazon Machine Learning su TheirStack.com.
Secondo i nostri dati, Amazon Machine Learning è più popolare in Stati Uniti (902 companies), Regno Unito (209 companies), India (75 companies), Germania (67 companies), Francia (65 companies), Spagna (50 companies), Canada (49 companies), Brasile (40 companies), Australia (32 companies), Svizzera (17 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Amazon Machine Learning 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.