- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
- Cement
- Equipment & Machinery
- Quality Assurance
- Sales & Marketing
- Real-Time Location System (RTLS)
- Track & Trace of Assets
- Cloud Planning, Design & Implementation Services
- Testing & Certification
Botmaker's customers include large international brands with operations across Latin America and some Spanish-speaking areas in the United States. In Argentina, they work with government agencies, banks, insurance companies, media companies, and large enterprises like Despegar or MercadoLibre. Botmaker processes around 2 million conversations a day, that is, near 2.5 million records. One of the key moments when Botmaker very notably perceived the advantage of operating through the Google Cloud Platform was when they worked on a Sprint project. The brand had launched an advertising campaign in the United States which resulted in a huge increase in the number of users, with transactions growing over 180 times.
Botmaker, an AI platform that creates and administers voice and text enabled bots, aimed to provide exceptional customer service across various channels. The challenge was to automate conversations between brands and people using AI, requiring an infrastructure capable of processing millions of messages, understanding them, and providing accurate responses in real time, 24/7/365. This was crucial to maintain the brand's goodwill with its customers, making data processing speed and scalability a significant technical challenge. Additionally, Botmaker had to meet strict safety requirements imposed by various customers, including large banks and international insurance companies.
Botmaker adopted Google Cloud in 2015, which allowed it to focus on its core business and products rather than technical infrastructure details. Google Cloud's agility and scalability enabled Botmaker to process millions of messages and respond to them in real time. Botmaker generates a lot of information each day from user conversations, and through BigQuery, it can check that historical information within less than 5 seconds. Other tools used by the platform include Container Engine, App Engine, Compute Engine, and Kubernetes. In terms of security, Botmaker found that most of the requirements they had to meet were solved due to automatic disk encryption and the entire network ensuring no attacks would be suffered. Today, Botmaker can create a solution and launch it with productive quality in a very short period of time, taking its products very quickly to the market and creating a positive impact on the business.
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