Although the current scenario of Generative Artificial Intelligence is increasingly disruptive, there are many companies that are not sure how best to take advantage of technology to improve their processes. According to the report “Startups & Generative Artificial Intelligence: Unlocking their potential in Brazil”, conducted by Google and Box1824, 63% of Brazilian AI startups still do not have a clear strategy for the use of Generative AI. In addition, 22% of them still cannot quantify and measure the results of the use of this resource.
According to Mathias Brem, founding partner and CDO of Rox Partner, reference technology consulting in data and cybersecurity, the use of the resource allows, for example, that the data lake hotel, as it is called the corporate repository that stores large volumes of structured and unstructured data, is leveraged to a new level from an approach data driven strengthened by the new resource.“This complement has propelled the corporate world towards a data-driven future, opening new frontiers for analysis and innovation on several” fronts, he concludes.
To help companies employ Generative AI more effectively, Mathias Brem listed five high-impact changes that adoption can deliver
- Synthetic Data Generation
Generative AI allows you to create realistic, high-quality synthetic data sets, scale up data lakes with information that represents non-existent real scenarios. This is crucial to train models of machine learning more robust and accurate, 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.
- 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”, the Rox Partner CDO highlights.
- Automation of Repetitive Tasks
The technology also allows you to automate repetitive tasks such as data cleansing and anomaly detection, AI frees up professionals to focus on strategic analysis and development of data models machine learning“ Automation of routine processes allows the data team to focus on higher value-added activities, which drives innovation and” competitiveness, he says.
- Innovative Product and Service Development
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, comments the executive.
- 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”.
