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robotic process automation


The next logical step in the automation journey is the adoption of a more advanced form of RPA: intelligent automation (AI). The main benefits for companies adopting AI are that it is non-invasive with lightning-fast deployment, enables easy scalability at low cost, and helps transform and improve processes by combining the efficiency of robotics and powerful automation with human judgment.

To stay in the race and stay ahead of the competition, many companies have started adopting business transformation strategies such as rule-based process automation that leverage software robots that do not require human interaction and are applying them to various processes and labor-intensive workflows.

Where can I use RPA?

Here are ten processes you can automate across departments with RPA:

• Incorporation of suppliers, clients and employees. ...
• Maintenance of suppliers, customers and employees.
• Aggregation of reports. ...
• Payroll processing. ...
• Due diligence of the client. ...
• Monitoring and competitive prices. ...
• CRM updates. ...
• Processing order.


big data 

AMIGO IQ is built using deep learning and is only as intelligent as the data that trains the models within it.

​To ensure optimal intelligence, we show you how to lay a stronger foundation for data quality.

It is increasingly important for companies to harness the potential of unstructured data. We have experience working on complex problems involving images, speech, and text. We customize solutions using parsing and semantics, and our delivery team has successfully executed several projects related to natural language processing, sentiment mining, and text classification. We actively work with the latest and most sophisticated Machine techniques Learning to offer these solutions.


Our goal is to solve today's unstructured data problems and continue to explore solutions for tomorrow's unstructured data.

Big Data team that has designed and implemented large-scale Big Data ecosystems and applications for various organizations. Our experience spans all aspects of Big Data, including the underlying open source technologies and leading platforms.


machine learning

The advantages and benefits of AI

Making decisions and taking actions based solely on historical precedent, simple analysis, and intuition no longer gets the job done, nor does chasing myopic goals or commercialized technologies. And yet too many companies remain stuck in the status quo.

Increasingly, it is those who use analytics effectively who are successful; that is, those who extract information such as patterns, trends, and insights from data to make decisions, take action, and produce results. This includes both traditional analytics and advanced analytics, which are complementary. Furthermore, AI allows humans to use analytics in ways they otherwise could not on their own.

Data is a critical asset if and only if you know how to use it. Most companies should start thinking of themselves as data and analytics companies, regardless of what their core offerings are. As long as data is involved, this is a critical step to stay ahead of the competition while gaining greater capacity to create huge benefits for both individuals and businesses.


inteligencia artificial 

deep learning

Machine Learning: Predict results and prevent failure of your assets with custom data science and machine learning solutions

Discuss your deep thoughts or intricate problems with our machine learning experts who can provide ongoing consultation.

We automate businesses and optimize processes by implementing intelligent ML solutions

Machine learning methods
Computer Vision, Deep Learning, Feature Extraction, Knowledge Representation, Learning to Classify, Natural Language Generation, Natural Language Processing, Neural Network, Reinforcement Learning,

Semi-supervised learning, supervised learning
Unsupervised learning

Machine learning techniques

Anomaly detection, autoencoders, Bayesian statistics, classification, clustering, decision trees, deep belief network, generative.




A universe of connected devices, services and people
It is the key to a new era of competitiveness.

The Internet of Things (IoT) is set to transform the way we work and live.


The Internet of Things will provide a wealth of data that can inform new ways to assess risk and adjust prices. Insurers will be able to obtain better data for claims settlement and develop new personalized risk protection services. They may also offer incentives for home and safe driving. The opportunities are limitless.

To gain a competitive advantage, insurers must develop new skills, develop their data and analytics capabilities, and create new platforms and ecosystems. Accenture has the vision, industry knowledge, skills and capabilities to help develop and execute the right strategies.

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