We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.
This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.
Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.
The next major technological disruption is already underway: What should CEOs and business leaders know to avoid failures and capitalize on its potential?
Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.
Modernization of SAP on AWS: Efficiency, control and scale for a leading automotive company
A renowned automotive company accelerated its digital transformation by migrating and modernizing its SAP S/4HANA environment on AWS, ensuring operational efficiency, scalability and cost savings.
Gobernanza cloud que garantiza rendimiento, seguridad y eficiencia en el mundo del streaming
En un entorno donde la experiencia del usuario es clave, una reconocida plataforma de streaming confió en Nubiral para optimizar sus operaciones en AWS y escalar de forma segura, continua y eficiente.
A tour of the main opportunities that arise from a correct and timely migration of workloads to the cloud, and the trends that are being visualized in the cloud universe.
Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.
DevSecOps transformation: Speed, security and collaboration for modern development
A leading technology company modernized its development ecosystem with GitHub and Azure alongside Nubiral, reducing provisioning times and improving security.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
End-to-End data governance for cybersecurity operations
One of the leading banks in Chile utilizes the most advanced AWS services to work on the ingestion, storage, detection, and predictive models of data from cybersecurity intelligence sources.
Secure AI development: Higher value and lower business risk
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
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As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.
As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
Nubiral and Diligent join to present a revolutionary solution that will transform the way organizations manage their GRC (Governance, Risk, and Compliance) processes.
We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.
This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.
Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.
The next major technological disruption is already underway: What should CEOs and business leaders know to avoid failures and capitalize on its potential?
Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.
Modernization of SAP on AWS: Efficiency, control and scale for a leading automotive company
A renowned automotive company accelerated its digital transformation by migrating and modernizing its SAP S/4HANA environment on AWS, ensuring operational efficiency, scalability and cost savings.
Gobernanza cloud que garantiza rendimiento, seguridad y eficiencia en el mundo del streaming
En un entorno donde la experiencia del usuario es clave, una reconocida plataforma de streaming confió en Nubiral para optimizar sus operaciones en AWS y escalar de forma segura, continua y eficiente.
A tour of the main opportunities that arise from a correct and timely migration of workloads to the cloud, and the trends that are being visualized in the cloud universe.
Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.
DevSecOps transformation: Speed, security and collaboration for modern development
A leading technology company modernized its development ecosystem with GitHub and Azure alongside Nubiral, reducing provisioning times and improving security.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
End-to-End data governance for cybersecurity operations
One of the leading banks in Chile utilizes the most advanced AWS services to work on the ingestion, storage, detection, and predictive models of data from cybersecurity intelligence sources.
Secure AI development: Higher value and lower business risk
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.
As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
Nubiral and Diligent join to present a revolutionary solution that will transform the way organizations manage their GRC (Governance, Risk, and Compliance) processes.
The next major technological disruption is already underway: What should CEOs and business leaders know to avoid failures and capitalize on its potential?
Secure AI development: Higher value and lower business risk
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
We are entering the era of generative AI. The disruptive power of this technology is enormous and is already transforming the way we work and live. And one of its main capabilities lies in code development.
Indeed, this technology can automatically generate documentation and improvements on source code.
From completing a line of code to assembling readme files on projects. From correcting formatting and logical structures based on best practices to creating complete functions. Development teams that know how to capitalize on this power will be able to multiply their productivity to unprecedented levels.
Use case: Generative AI in Banking and FinTech
The benefits of GenAI for software development apply to all industries. However, in some areas in particular it manages to stand out significantly.
This is the case of financial services companies, both traditional and fintech. A segment characterized by a very high level of competition and that constantly needs to adapt faster and faster to the customers’ requirements and preferences.
At the same time, it must comply with strict regulations and show that all its products, especially digital ones, are strong, reliable and secure.
A development team using generative AI and applying known best practices can achieve all of these goals. On one hand, speed in the creation of products and services. On the other hand, more testing to ensure good performance and data privacy.
The dangers of generative AI in code development
As always when a new technology appears, especially if it is so disruptive, there are also some risks and challenges to consider.
This is, of course, the case for generative AI applied to code creation. For example, the risk of algorithms producing code that is buggy or vulnerable to cyber-attacks requires special attention.
In addition, over-reliance on generative AI in programming could lead to a decrease in the quality of human-produced code, which could affect the scalability and long-term maintainability of digital products.
Lack of complete understanding of the internal processes of generative AI, meanwhile, could result in the introduction of unwanted skews in the generated code. This could amplify existing disparities and perpetuate application differentiation.
Given the above, it should be clear that generative AI is a tool to improve the productivity of a development team. It in no way replaces human skills.
Can we rely on generative AI to create code?
In the context of the previously mentioned challenges, it is crucial to implement rigorous security and oversight measures to mitigate the risks associated with implementing generative AI in code development.
It is the developer’s experience and knowledge that sets boundaries and helps the results of generative AI to be reliable.
On the other hand, there is a global trend that seeks to regulate generative AI to reduce uncertainties and manage concerns.
Among other things that specifically affect software development, different alternatives are being analyzed to protect the copyright of the code created. Work is also being done to protect data privacy and ensure the ethical and responsible use of technology.
Conclusions
The potential of generative AI to exponentially improve the productivity of a software development team is undeniable.
At the same time, it is crucial to address the challenges and risks along the way.
This involves raising awareness and training development teams to understand the scope and the limitations of this technology. It is not a magic element that solves all problems, but an excellent assistant that boosts the capabilities of human beings who use it intelligently.
Our experts at Nubiral are waiting for your contact to help you boost the software development in your organization. Schedule your meeting!
The next major technological disruption is already underway: What should CEOs and business leaders know to avoid failures and capitalize on its potential?
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