Generative Artificial Intelligence is emerging as a disruptive tool in the business scenario, but many companies still do not know how to make the most of this technology. 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, and 22% cannot quantify the results of its use.
Mathias Brem, founding partner and CDO of Rox Partner, a technology consultancy specializing in data and cybersecurity, highlights how Generative AI can revolutionize data management.“This complement has propelled the corporate world towards a data-driven future, opening new frontiers for analysis and innovation on several” fronts, he says.
To help companies use Generative AI more effectively, Brem listed five high-impact changes that adoption can deliver:
1. Synthetic Data Generation
Generative AI allows you to create realistic, high-quality synthetic data sets by augmenting data lakes with information that represents non-existent real-world scenarios. This is crucial for training more robust and accurate machine learning models, addressing 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 elevates the accuracy of the” predictive models, notes Brem.
2. Advanced Data Enrichment and Analysis
AI can enrich existing data by generating detailed product descriptions, translating text, identifying relevant information from unstructured documents, and creating new attributes.This enables deeper analysis, revealing previously invisible insights and patterns. “With AI, we can transform raw data into rich, actionable information, enabling more strategic and informed DECISIONS”, Brem said.
3. Automation of Repetitive Tasks
The technology enables the automation of repetitive tasks such as data cleansing and anomaly detection, freeing up professionals to focus on strategic analysis and development of machine learning models, increasing operational efficiency.“ Routine process automation allows the data team to focus on higher value-added activities, which drives innovation and” competitiveness, he says.
4. Development of Innovative Products and Services
AI can generate innovative ideas for products and services, assist in the research and development of tailored solutions, 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, Brem comments.
5. Expansion of Knowledge and Expertise
AI can create tailored training materials and optimize learning across different roles and levels of knowledge. Chatbots, for example, can assist employees in repetitive tasks, freeing up time for strategic activities.“Customizing training through AI ensures employees get exactly the knowledge they need, improving efficiency and” productivity, concludes Brem.
With these five strategies, the adoption of Generative AI can transform data management, driving innovation and competitiveness for companies.
