Odoo 16 - Odoo Experience 2022
Future Trends
AI will create jobs. The workforce is evolving, with new generations having stronger aptitudes for technology, creativity, and innovation. The modern workplace will benefit from humans working in concert with technology.
A headless CMS is a content management system that separates where content is stored (the “body”) from where it is presented (the “head“).
In the bid to make your software competitive, a common mistake is adding more and more functionality. But sometimes in software, worse is better.
Learn more about Odoo Scale-Up!: it's a super fun and effective way to learn what it takes to run a business before you get started.
Attended RPA bots are ready and waiting to be activated by employees whenever they are needed to help the process along. Unattended RPA bots operate on a preset schedule, or as triggered by logic in the process flow. Attended bots can run on workstations or private servers or in the cloud.
The world is about digitization! Nowadays businesses of all sizes are launching their applications to try and expand their reach online. As we know, developing a digital enterprise in the form of web and mobile applications is a very difficult task. You have to brainstorm many things at once. One of the key ways to decide which coding method to choose is? Low-code/no-code vs custom code development?
Continuing education and skills training are vital tools for remaining competitive, engaging staff, and retaining top talent.
Outsourcing is a rising sector in Vietnam, with the IT outsourcing industry alone projected to grow 13.47% by 2027. Affordability and a large pool of tech talents are among the prominent reasons the country attracts global leaders looking for ways to cut costs effectively & manage their teams flexibly.
Implementation includes installation, server management, configuration, modules management, training, support, etc.
In today’s business world, the importance of data cannot be overstated. But the ever-growing amount of information makes it difficult to handle all the incoming data and utilize it in the most meaningful way. How does one process these vast amounts of data and bring big data to a consolidated form? In this article, we will dive into the data pipeline and its main features and investigate how to build a reliable pipeline and avoid common early-stage mistakes.



