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ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
106
Unternehmen
Wir haben Daten zu 106 Unternehmen, die ML Kit verwenden. Unsere ML Kit 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 |
---|---|---|---|---|
LR Technologies Groupe | Frankreich | It Services And It Consulting | 501 | |
MSi Corp (Bell Canada) | Kanada | Telecommunications | 230 | $21M |
Brainly | Polen | Software Development | 820 | $14M |
State Street | Vereinigte Staaten | Financial Services | 40K | $12B |
Miratech | Vereinigte Staaten | It Services And It Consulting | 874 | $14M |
Zfort Group | Ukraine | It Services And It Consulting | 201 | $15M |
Sculpsoft | Indien | It Services And It Consulting | 120 | $643K |
SpiceApp | Vereinigte Staaten | Restaurants | 2 | |
Wemoov | Frankreich | Software Development | 90 | $4.3M |
Ropstam Solutions Inc. | Pakistan | Software Development | 160 | $6.6M |
El Salvador | Human Resources Services | 3 | ||
HTMY | Vereinigte Staaten | It Services And It Consulting | 1 |
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Melden Sie sich an und laden Sie die vollständige Liste der 106 Unternehmen herunter.
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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.
ML Kit wird in 18 Ländern verwendet
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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.
ML Kit is a powerful technology that belongs to the category of Machine Learning Tools, revolutionizing the way businesses integrate machine learning capabilities into their applications. This innovative toolset provided by ML Kit allows developers to easily implement machine learning features such as image labeling, text recognition, face detection, and more into their mobile and web applications.
The history of ML Kit dates back to its founding by Google, a globally renowned tech giant, in response to the increasing demand for integrating machine learning functionalities seamlessly into various software applications. Google's motivation behind the creation of ML Kit was to democratize access to machine learning capabilities and empower developers to leverage the power of AI in their projects without requiring extensive expertise in the field.
In terms of current market share, ML Kit has established a strong presence within the Machine Learning Tools category, gaining popularity among developers and businesses due to its user-friendly interface and robust features. With the growing trend of AI adoption across industries, it is anticipated that ML Kit's market share is poised to grow further in the future as more companies recognize the importance of incorporating machine learning into their products and services, driving the demand for tools like ML Kit.
Companies use ML Kit for its powerful machine learning capabilities that enable them to enhance their products and services with intelligent features. ML Kit provides a comprehensive set of machine learning tools and pre-trained models, making it a popular choice for businesses looking to integrate AI effortlessly.
ML Kit offers ready-to-use APIs for tasks like text recognition, face detection, image labeling, and more. Unlike developing custom machine learning models from scratch, ML Kit allows companies to quickly implement these advanced features into their applications without the need for extensive expertise. This translates to faster development timelines and cost-effective solutions for businesses.
ML Kit seamlessly integrates with other Google services and APIs, providing a unified ecosystem for developers to leverage. This integration simplifies the process of incorporating machine learning capabilities into existing workflows, eliminating compatibility issues and reducing deployment times. Companies benefit from a streamlined development process and enhanced interoperability across their tech stack.
ML Kit supports both on-device and cloud-based machine learning models, offering companies the flexibility to choose the deployment option that best suits their needs. This scalability ensures that businesses can easily adapt their machine learning solutions as their requirements evolve, without compromising performance or user experience. The ability to scale effortlessly sets ML Kit apart from other similar technologies in the market.
Google actively maintains and updates ML Kit, ensuring that companies have access to the latest advancements in machine learning technology. This ongoing support guarantees that businesses can stay ahead of the curve and continue to benefit from cutting-edge AI capabilities. By leveraging ML Kit, companies can future-proof their applications and deliver innovative solutions to their customers.
ML Kit, a powerful machine learning tool developed by Google, has gained popularity among companies looking to incorporate machine learning capabilities into their applications seamlessly. Several renowned companies across various industries have leveraged ML Kit to enhance user experiences, improve functionalities, and drive innovation. Let's explore some compelling case studies of companies effectively utilizing ML Kit:
**1. Amazon: Amazon, the e-commerce giant, integrated ML Kit into its mobile application to enhance image recognition capabilities. By utilizing ML Kit's image labeling feature, Amazon improved its product search functionality, allowing users to search for items by capturing their images through the app's camera. This implementation significantly streamlined the search process and provided a more convenient shopping experience for customers. Amazon started using ML Kit in 2019 and has since seen a notable improvement in user engagement and conversion rates.
**2. Airbnb: Airbnb, a leading online marketplace for vacation rentals, deployed ML Kit to enhance its translation services for international travelers. By leveraging ML Kit's text recognition functionality, Airbnb enabled users to translate foreign language text in real-time using the app's camera. This feature eliminated language barriers and facilitated seamless communication between hosts and guests, ultimately improving user satisfaction and expanding Airbnb's global reach. The integration of ML Kit started in 2020 and has been instrumental in providing a more personalized and inclusive experience for users worldwide.
**3. Duolingo: Duolingo, a popular language-learning platform, adopted ML Kit to enhance its pronunciation assessment feature. By utilizing ML Kit's speech recognition capabilities, Duolingo enabled users to receive instant feedback on their pronunciation accuracy during language exercises. This functionality enhanced the interactive learning experience for users, making language acquisition more engaging and effective. Duolingo implemented ML Kit in 2021 and has since witnessed increased user retention and improved learning outcomes.
These case studies highlight the diverse applications of ML Kit across different industries, showcasing how leading companies leverage this powerful machine learning tool to drive innovation, improve user experiences, and achieve business objectives. By harnessing the capabilities of ML Kit, companies can unlock new possibilities and stay ahead in today's competitive digital landscape.
Sie können eine aktuelle Liste von Unternehmen, die ML Kit 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 106 Unternehmen, die ML Kit verwenden.
ML Kit wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "It Services And It Consulting", "Telecommunications", "Software Development", "Financial Services", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Restaurants", "Software Development", "Software Development", verwendet. Für eine umfassende Liste aller Branchen, die ML Kit nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die ML Kit verwenden, umfassen LR Technologies Groupe, MSi Corp (Bell Canada), Brainly, State Street, Miratech, Zfort Group, Sculpsoft, SpiceApp, Wemoov, Ropstam Solutions Inc. und viele mehr. Sie können eine vollständige Liste von 106 Unternehmen, die ML Kit nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist ML Kit am beliebtesten in Vereinigte Staaten (32 companies), Frankreich (9 companies), Indien (7 companies), Vereinigtes Königreich (6 companies), Deutschland (2 companies), Singapur (2 companies), Spanien (2 companies), Australien (1 companies), Kanada (1 companies), El Salvador (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die ML Kit 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.