Although the current landscape of Generative Artificial Intelligence appears increasingly disruptive, many companies are unsure of the best way to leverage the technology to improve their processes. According to the report "Startups & Generative Artificial Intelligence: Unlocking its potential in Brazil," conducted by Google and Box1824, 63% of AI startups in Brazil still do not have a clear strategy for the use of Generative AI. Additionally, 22% of them still cannot quantify and measure the results of using this resource.
According to Mathias Brem, founding partner and CDO ofRox Partner, a leading technology consultancy in data and cybersecurity, the use of the resource allows, for example, that thedata lake, as the corporate repository that stores large volumes of structured and unstructured data is called, is enhanced to a new level using an approachdata drivenstrengthened by the new feature. "This plugin has propelled the corporate world towards a data-driven future, opening new frontiers for analysis and innovation across various fronts," he concludes.
To help companies employ Generative AI more effectively, Mathias Brem listed five high-impact changes that its adoption can bring. Check it out
- Synthetic Data Generation
Generative AI enables you to create realistic, high-quality synthetic datasets, extenddata lakeswith information that represents non-existent real scenarios. This is crucial for training models ofmachine learningmore robust and accurate, compensating for the lack of real data and avoiding biases. "Synthetic data can replicate complex situations, such as fraud or extreme customer behaviors, without relying on real data. This increases the accuracy of predictive models," observes Brem.
- Advanced Data Enrichment and Analysis
AI can enrich existing data by generating detailed product descriptions, translating texts, identifying relevant information from unstructured documents, and creating new attributes. This enables deeper analyses, revealing insights and patterns previously invisible. "With AI, we can transform raw data into rich and actionable information, enabling more strategic and well-founded decisions," highlights the CDO of Rox Partner.
- Automation of Repetitive Tasks
Technology also allows for the automation of repetitive tasks, such as data cleaning and anomaly detection, while AI frees professionals to focus on strategic analysis and development of business models.machine learningincrease operational efficiency. "Automating routine processes allows the data team to focus on higher value activities, which drives innovation and competitiveness," he/she states.
- Development of Innovative Products and Services
AI can generate innovative ideas for products and services, assist in research and development of tailored solutions. It can also optimize designs and generate realistic prototypes, speeding up the development process. "The ability to quickly generate new concepts and prototypes accelerates the innovation cycle, keeping companies at the forefront of the market," comments the executive.
- Expanding Knowledge and Expertise
AI can create customized training materials and optimize learning across different roles and levels of knowledge. Chatbots, for example, can assist employees with repetitive tasks, freeing up time for strategic activities. "Personalizing training through AI ensures that employees acquire exactly the knowledge they need, improving efficiency and productivity," he concludes.
