Even though the current scenario of Generative Artificial Intelligence is becoming increasingly disruptive, there are many companies that do not know exactly the best way to leverage 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. Furthermore, 22% of them still cannot quantify and measure the results of using this resource
According to Mathias Brem, founding partner and CDO ofRox Partner, technology consulting firm specializing in data and cybersecurity, the use of the resource allows, for example, that thedata lake, how is the corporate repository that stores large volumes of structured and unstructured data called, be empowered to a new level through an approachdata drivenstrengthened by the new resource. This supplement has driven the corporate world towards a data-driven future, opening new frontiers for analysis and innovation in various areas, 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 allows for the creation of realistic and high-quality synthetic datasets, expanddata lakeswith information that represents non-existent real scenarios. This is crucial for training models ofmachine learningmore robust and precise, supplying the lack of real data and avoiding biases. Synthetic data can replicate complex situations, such as frauds or extreme behaviors of customers, without relying on real data. This increases the accuracy of predictive models, observe Brem
- Advanced Data Enrichment and Analysis
AI can enrich existing data, generating detailed product descriptions, translating texts, identify relevant information from unstructured documents and create new attributes. This enables deeper analyses, revealing insights and previously invisible patterns. "With AI, we can transform raw data into rich and actionable information, allowing for more strategic and informed decisions, highlights the CDO of Rox Partner
- Automation of Repetitive Tasks
Technology still allows for the automation of repetitive tasks, such as data cleaning and anomaly detection, AI frees professionals to focus on strategic analysis and model developmentmachine learning, increase operational efficiency. "The automation of routine processes allows the data team to focus on higher value-added activities", what drives innovation and competitiveness, affirms
- Development of Innovative Products and Services
AI can generate innovative ideas for products and services, assist in the research and development of tailored solutions. It can also optimize designs and generate realistic prototypes, accelerating the development process. The ability to generate new concepts and prototypes quickly accelerates the innovation cycle, keeping companies at the forefront of the market, comment on the executive
- Expanding Knowledge and Expertise
AI can create customized training materials and, optimize learning in different functions and levels of knowledge. Chatbots, for example, can assist employees in repetitive tasks, freeing up time for strategic activities. "Training personalization through AI ensures that employees acquire exactly the knowledge they need", improving efficiency and productivity, concludes
