The creation of systems that learn, adapt and potentially act autonomously has become a challenge for technological developments for the coming years.
With Artificial Intelligence, machines can analyze images, understand spoken language, interact in a natural way and make predictions using data. Create the next generation of applications using Artificial Intelligence functionalities for any business scenario:
POWERFUL
Fast and accurate
RESULTS
Instant business results
AuraQuantic incorporates ready-to-use Microsoft AI services, so you can quickly create business applications.
A few examples where Artificial Intelligence can be useful:
Prediction models casn be used to predict specific process results and continually update this prediction in light of new events, or the passage of time. It can be used to detect when an opportunity is at risk.
The automatic detection of outliers and anomalous patterns is one of the most common uses of Machine Learning models. Although its implementation by means of multi-variational time series is well known, in recent years they are being surpassed by models based on Recurrent Neural Networks (RNN).
In addition to AuraQuantic’s recommendation mechanism which is used for actions based on process outcomes, the AI can provide the System with more advanced model combinations, anomaly detection and automated data pre-treatment.
Quickly and easily build, train, and deploy your machine learning models using Azure Machine Learning.
Add Smart API capabilities to enable contextual interactions.
Intelligent, serverless bot service that scales on demand.
The predictive intelligence businesses need to stay competitive.
Artificial Intelligence powered cloud search service.
Fast, easy and collaborative analytics platform.
Add intelligent algorithms to your applications, websites and bots that can see, hear, speak, understand and interpret the needs using natural forms of communication.
Speech
Convert text to lifelike speech for more natural interfaces. Integrate real-time speech translation into your apps.
Decision
Make smarter decisions faster.
Vision
Identify and analyze, label, classify and moderate content within images, videos, and digital ink.
Search
Add Bing Search APIs to your applications and search for images, videos and news on millions of websites with a single API call.
Language
Empower your apps to understand natural language, detect sentiment and learn to understand user needs.
Develop intelligent, enterprise-grade bots that let you maintain control of your data. Build any type of bot—from a Q&A bot to your own branded virtual assistant. Create a bot that can:
Simplify and streamline the creation, training and implementation of Machine Learning models. Develop models in less time using the tools and frameworks you prefer, increase productivity using automated machine learning and innovate on a secure business platform.
Effective and simple machine learning with zero-code drag-and-drop designer and automated features.
Accelerate the complete ML lifecycle. Empower developers with a wide range of productive experiences for building, training, and deploying ML models faster.
Create and deploy ML models anywhere, from the cloud to the edge, to manage production ML workflows at scale in an enterprise-ready fashion.
Build responsible AI solutions, with enhanced security and cost management for advanced governance and control.
Azure Cognitive Search is the only cloud search service with built-in AI capabilities. It uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade, and AI services across vision, language, and speech. Spend more time innovating and less time maintaining a complex cloud search solution.
Obtenga conclusiones a partir de todos sus datos y cree soluciones de Inteligencia Artificial (IA) con Azure Databricks, configure un entorno de Apache Spark™ en solo unos minutos, aplique escalabilidad automática y colabore en proyectos compartidos en un área de trabajo interactiva. Azure Databricks admite Python, Scala, R, Java y SQL, además de marcos y bibliotecas de ciencia de datos como TensorFlow, PyTorch y scikit-learn.
La Inteligencia Artificial se puede definir como aquella tecnología que trata de emular el funcionamiento mental basándose en el desarrollo de algoritmos para aprender, discurrir y tomar decisiones. La Inteligencia Artificial combina varios campos, como la robótica, los sistemas expertos y otros, los cuales tienen un mismo objetivo, que es tratar de crear sistemas que puedan pensar por sí solos.
La capacidad de usar IA tiene el objetivo de mejorar la toma de decisiones, reinventar modelos de negocio y ecosistemas. Tales tareas reducen costes y riesgos y mejoran el desempeño y el control de calidad.
Our experienced team will help you create tailored solutions for your company.
Connect AuraQuantic easily to Tableau, Power BI, etc. to make the right decisions.
Identify and analyze cause-and-effect relationships among events in real time to take effective actions in response to specific scenarios.
Build, score and evaluate predictive analytics solutions quickly in the cloud with Azure Machine Learning.
Connect AuraQuantic easily to Tableau, Power BI, etc. to make the right decisions.
Identify and analyze cause-and-effect relationships among events in real time, to take effective actions in response to specific scenarios.
Build, score and evaluate predictive analytics solutions quickly in the cloud with Azure Machine Learning.