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Deeplabs
Milan, Italy
B
1-10 Employees
2021
Key takeaway
Deeplabs S.r.l. specializes in developing and marketing machine learning software and services for industrial engineering design, highlighting their main product, Deepyt®, a no-code platform for machine learning applications. Deepyt® optimizes product performance through AI, making it a valuable tool for those interested in deep learning solutions.
Reference
Core business
Deeplabs | AI & Machine Learning software
Deeplabs S.r.l. - Machine Learning software and services for industrial engineering design. Discover Deepyt, require your free demo!
Deep Learning Italia
Rome, Italy
B
11-50 Employees
2018
Key takeaway
Deep Learning Italia offers a comprehensive and practical approach to deep learning education, featuring courses that are accessible via streaming and include a wealth of resources like slides, code, and datasets. With expert instructors and over 1,000 hours of content, learners can enhance their skills and earn certification in various topics, including machine learning and consumer behavior analysis.
Reference
Core business
Corsi Data Science - Deep Learning Italia
La più grande piattaforma di e-learning sui temi della Data Science e Intelligenza Artificiale: acquista i nostri corsi.
Deep Learning Italia Academy
Rome, Italy
B
11-50 Employees
2018
Key takeaway
The company highlights its recently completed mini-degree in Deep Learning for Sequence Modelling and Time Series, which is designed to be accessible even for beginners. The course includes well-structured exercises, particularly using interactive Jupyter notebooks, and emphasizes effective communication with instructors throughout the learning process.
Reference
Core business
Homepage | DLI
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DataMasters.it
Bari, Italy
B
1-10 Employees
2021
Key takeaway
Data Masters offers advanced training programs in Artificial Intelligence, Machine Learning, and Data Science, emphasizing practical applications and real-world projects, including the implementation of Deep Reinforcement Learning algorithms. Their innovative approach combines on-demand learning with direct interaction with industry professionals, making it a key resource for developing specialized skills in these high-demand fields.
Reference
Core business
Next Generation Skills Platform - Data Masters
Inizia la tua carriera nella Data Science La AI Academy italiana per la formazione in Intelligenza Artificiale, Machine Learning e Data Science Data Masters ha creato i percorsi formativi più avanzati e in italiano per sviluppare le competenze specialistiche che saranno le più richieste nei prossimi anni. Una forte componente pratica con applicazioni reali di AI e ML… Continua a leggere Next Generation Skills Platform
Synapps
Italy
B
1-10 Employees
-
Key takeaway
The company emphasizes the importance of AI technologies, including deep learning, for enhancing business decision-making and adapting to market changes. They develop applications that utilize advanced machine learning techniques, such as supervised and unsupervised learning, to process complex data efficiently.
Reference
Core business
Company | synapps
We integrate business processes with advanced machine learning and business analytics solutions
connexun | news api
Segrate, Italy
B
11-50 Employees
2012
Key takeaway
The company offers prebuilt machine learning models and APIs that can assist data scientists in developing innovative applications, which is highly relevant for those interested in deep learning.
Reference
Core business
About Us
Desidoo.com S.r.l.
Turin, Italy
B
1-10 Employees
2018
Key takeaway
The company focuses on building machine learning applications, which often involve tasks like object recognition in digital images, highlighting the importance of data preparation. This aligns with the growing need for efficient processes in digital transformation.
Reference
Service
Building machine learning applications – Desidoo.com Srl
SoftAI
Italy
B
1-10 Employees
-
Key takeaway
The company specializes in transforming productivity through Data Science, AI, and Machine Learning, offering tools that enable business analysts and data scientists to automate analytics processes. They emphasize the role of "Citizen Data Scientists," who can leverage advanced analytics and machine learning techniques after minimal training, thereby enhancing the organization's ability to utilize data effectively.
Reference
Product
SoftAI - Data Science and Machine Learning Solutions | SoftAI
Solutions and algorithms using advanced analytics and predictive models
The Artificial Intelligence School | Ateneo Impresa
Rome, Italy
B
1-10 Employees
2018
Key takeaway
The Artificial Intelligence School offers a Master Lab in Artificial Intelligence Management, which includes deep learning topics such as Deep Neural Networks and Natural Language Processing. This program is designed to meet the growing demand for AI specialists and provides practical experience through projects commissioned by leading national and international companies.
Reference
Core business
Master Lab in Artificial Intelligence | The artificial intelligence school Roma
The Artificial Intelligence School, la scuola di Alta Specializzazione in Italia dedicata esclusivamente all'intelligenza artificiale.
DEEP_AI_LAB
Milan, Italy
B
1-10 Employees
2020
Key takeaway
The company, DEEP AI Lab, offers AI R&D as a Service (RDaaS), specializing in developing customized AI solutions that integrate deep learning and machine learning to address specific operational challenges. Their expertise allows them to create innovative AI tools that enhance competitive advantages and improve operational efficiency.
Reference
Core business
AI R&D as a service | AI custom solutions - DEEP AI Lab
We provide AI R&D as a Service (RDaaS), custom Artificial Intelligence solutions combining Machine Learning with a proven R&D process for predictable projects.
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A selection of suitable products and services provided by verified companies according to your search.
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Elements of AI For Business ®
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A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
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
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.
When exploring the Deep Learning industry in Italy, several key considerations are essential. The regulatory landscape in Europe, including GDPR, significantly impacts data usage and privacy, necessitating compliance for companies working with AI technologies. The competitive landscape is vibrant, with numerous startups and established firms focusing on AI applications across various sectors, including healthcare, automotive, and finance. Italy's strong academic foundation in engineering and computer science fosters innovation, supported by collaborations between universities and industry players. Challenges such as talent shortages in specialized AI skills can hinder growth, making it crucial for companies to invest in training and development. Opportunities abound in sectors seeking automation and enhanced data analysis capabilities, particularly as businesses increasingly recognize the value of AI-driven insights. Moreover, Italy's strategic location in Europe allows for easier access to global markets, enabling companies to scale their solutions internationally. Environmental considerations are also becoming prominent, as firms are encouraged to adopt sustainable practices in AI development. By being aware of these factors, individuals can navigate the complexities of the Deep Learning landscape in Italy effectively, identifying promising companies and sectors for potential collaboration or investment.
Some interesting numbers and facts about your company results for Deep Learning
Country with most fitting companies | Italy |
Amount of fitting manufacturers | 169 |
Amount of suitable service providers | 107 |
Average amount of employees | 1-10 |
Oldest suiting company | 2012 |
Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Deep Learning
What are related technologies to Deep Learning?
Based on our calculations related technologies to Deep Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Deep Learning?
Start-Ups who are working in Deep Learning are Deeplabs, DataMasters.it
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Education, Other, Research, Automation
How does ensun find these Deep 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.