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Machine2Learn
Amsterdam, Netherlands
A
11-50 Employees
2017
Key takeaway
Machine2Learn (M2L) specializes in providing end-to-end machine learning solutions, leveraging the expertise of Professor Tom Heskes, a renowned machine learning authority. With a history of successful applications dating back to the 1990s, M2L serves various sectors, including industry and healthcare.
Reference
Service
Services | Machine2Learn
BIZDATA PTY LTD
Melbourne, Australia
A
11-50 Employees
2005
Key takeaway
BizData is an award-winning Data Analytics Agency that specializes in the rapid delivery of Artificial Intelligence and Big Data solutions. They focus on leveraging data analytics, including machine learning, to enhance customer experiences and foster a data-driven culture.
Reference
Product
Machine Learning
cloudlogic.dev
London, United Kingdom
A
1-10 Employees
-
Key takeaway
The company specializes in Machine Learning, alongside Data Analytics and Cloud services, highlighting its expertise in these advanced technologies.
Reference
Service
Machine Learning - cloudlogic.dev
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Attivio
Boston, United States
B
11-50 Employees
2009
Key takeaway
Attivio enhances enterprise decision-making by integrating various data sources into a single, always-learning platform, which is particularly relevant for organizations seeking to leverage machine learning solutions for deeper insights and improved operational intelligence.
Reference
Product
Machine Learning Solutions
Cloud Advise Ltd.
London, United Kingdom
A
1-10 Employees
2017
Key takeaway
Cloud Advise offers a comprehensive range of services, including custom software development and consultancy, which can enhance business value through innovative solutions. Their expertise in areas like cloud, web, and mobile applications positions them as a key partner for enterprises looking to leverage advanced technologies, including machine learning.
Reference
Product
Machine Learning – Cloud Advise
Crescendo.ai
Geneva, Switzerland
A
1-10 Employees
-
Key takeaway
Crescendo.ai is a data science firm dedicated to helping public and private companies harness the potential of AI and Machine Learning. They offer a range of services, including the ability to identify behaviors and patterns in large datasets and deploy solutions for forecasting outcomes, with practical applications in areas like security and e-commerce.
Reference
Service
Machine Learning Services - Crescendo.ai
With Crescendo.ai we help you identify behaviors and patterns in large datasets. We can deploy our solutions to forecast outcome based on large volume of data. Practical use includes recommendation engine in security, behaviors, ecommerce, and more
Cognitiva
London, United Kingdom
A
1-10 Employees
-
Key takeaway
Cognitiva provides high-quality machine learning solutions across various software and hardware products.
Reference
Core business
Cognitiva
Machine Learning Solutions
getML
Leipzig, Germany
A
1-10 Employees
2017
Key takeaway
getML simplifies the process of building predictive analytics models from complex relational data without the need for extensive coding, thereby streamlining data preparation for machine learning. Its automation and advanced algorithms significantly enhance the efficiency and effectiveness of machine learning applications across various industries.
Reference
Core business
getML
Technopolis AI Cluster
Pylaia Municipal Unit, Greece
B
11-50 Employees
2019
Key takeaway
The company, Technopolis AI Cluster, emphasizes its commitment to AI solutions and technologies, highlighting their interest in Machine Learning as a key component of their vision for an automated and digital future.
Reference
Product
Machine Learning – Technopolis AI Cluster
Squadra Machine Learning Company
Oss, Netherlands
A
11-50 Employees
2016
Key takeaway
Squadra Machine Learning Company is an innovative Dutch firm that combines expertise in business processes, algorithm development, and data visualization to assist clients with machine learning algorithms and the application of artificial intelligence. Their solutions enhance product data, streamline operations, and support retail organizations in optimizing customer service and maximizing revenue.
Reference
Service
Services - Squadra Machine Learning Company
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Android App Development Services, Native Android App Development, Kotlin App Development, Tablet App Development, ARCore App Development, App Maintenance and Support
With our Android App Development Services, we craft high-quality, scalable, and user-friendly applications that cater to the diverse needs of Android users. From smartphones to tablets, we ensure that your app delivers a seamless experience across all devices. Our expertise spans various domains, including e-commerce, social networking, healthcare, and more, allowing us to create customized solutions that drive engagement and deliver tangible results.
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You are dealing with a lot of data from different systems. You feel you are not using the data properly to gain insight in your business and take the best decision. Bring your data to Bigquery and use this centralized system to learn from all the data. You will be surprise how data driven decision will impact the growth of your business.
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EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
Use case
Android App Development Services
Android App Development Services, Native Android App Development, Kotlin App Development, Tablet App Development, ARCore App Development, App Maintenance and Support
With our Android App Development Services, we craft high-quality, scalable, and user-friendly applications that cater to the diverse needs of Android users. From smartphones to tablets, we ensure that your app delivers a seamless experience across all devices. Our expertise spans various domains, including e-commerce, social networking, healthcare, and more, allowing us to create customized solutions that drive engagement and deliver tangible results.
Machine learning refers to a subset of artificial intelligence that enables systems to learn from data and improve their performance over time without being explicitly programmed. By utilizing algorithms and statistical models, machine learning allows computers to identify patterns and make decisions based on the input data. This technology powers various applications, including natural language processing, image recognition, and predictive analytics, making it a crucial component of modern data-driven solutions. The ability to analyze vast amounts of information quickly and accurately distinguishes machine learning as a vital tool for businesses and researchers alike.
Machine learning operates through algorithms that enable computers to learn from and make predictions based on data. Initially, a model is trained using a set of labeled data, which means that the input data comes with the correct output. This training process involves adjusting the model's parameters so it can accurately predict outcomes for new, unseen data. Once trained, the machine learning model can identify patterns and relationships within the data, allowing it to make informed decisions or predictions. The effectiveness of a machine learning model depends heavily on the quality and quantity of the data used during training. As more data is fed into the system, the model continues to improve its accuracy and performance over time.
1. Predictive Analytics
Machine learning is widely used in predictive analytics to forecast future trends based on historical data. Businesses apply algorithms to analyze patterns and make data-driven decisions, improving efficiency and strategic planning.
2. Image and Speech Recognition
In the fields of image and speech recognition, machine learning enables systems to identify and process visual and auditory inputs. Applications include facial recognition in security systems and voice-activated assistants like Siri and Google Assistant.
3. Natural Language Processing (NLP)
NLP leverages machine learning to understand, interpret, and generate human language. This technology powers chatbots, language translation services, and sentiment analysis tools, enhancing communication and user experience.
4. Healthcare Diagnostics
Machine learning assists in diagnosing diseases by analyzing medical data and imaging. It helps healthcare professionals identify conditions more accurately and quickly, leading to better patient outcomes.
5. Fraud Detection
Financial institutions utilize machine learning algorithms to detect fraudulent activities in real-time. By analyzing transaction patterns, these systems can flag irregularities, safeguarding against potential losses.
Machine learning is crucial for businesses as it enables data-driven decision-making and enhances operational efficiency. By analyzing vast amounts of data, machine learning algorithms can uncover patterns and insights that humans might overlook, leading to more accurate predictions and tailored strategies. Additionally, it facilitates automation of routine tasks, allowing employees to focus on more complex challenges. Implementing machine learning can significantly improve customer experiences through personalized recommendations and targeted marketing efforts, ultimately driving growth and competitive advantage.
Implementing machine learning can involve several significant challenges. One primary issue is the availability and quality of data. High-quality data is essential for training accurate models, yet many organizations struggle with collecting, cleaning, and organizing their data effectively. Additionally, the complexity of machine learning algorithms can pose a barrier. Organizations may lack the necessary expertise to choose the right models or to fine-tune them for optimal performance. Lastly, integration of machine learning solutions into existing systems can be difficult, requiring substantial resources and time to ensure compatibility and functionality.
Some interesting numbers and facts about your company results for Machine Learning
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 10000 |
| Amount of suitable service providers | 9650 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2005 |
| Youngest suiting company | 2019 |
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Some interesting questions that has been asked about the results you have just received for Machine Learning
What are related technologies to Machine Learning?
Based on our calculations related technologies to Machine Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Machine Learning?
The most represented industries which are working in Machine Learning are IT, Software and Services, Education, Other, Consulting, Marketing Services
How does ensun find these Machine Learning Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.