On the day, MATH had the opportunity to talk about "Dataprep Strategies to Enhance AI and Data Analytics", which brought together insights from industry experts. Moderated by Lourenço de Paula, Growth Executive Director at MATH, the event was marked by the exchange of in-depth knowledge about dataprep and AI.
The panel featured Renato Lopes, Head of Data and Analytics at Ford, and Jun Okawa, Superintendent of Credit, Data Science and Portfolio at Banco Safra. This article distills the main discussions of the panel, focusing on the innovative solutions and practical cases mentioned by the participants, demonstrating the practical application of the strategies discussed.
Data optimization
Renato Lopes shared how Ford integrates and optimizes large volumes of data generated get russian phone number online by sensors and systems in vehicles. One case study mentioned involved applying advanced dataprep techniques to predict component failures before they occur.
Using this tool not only reduces maintenance costs, but also significantly increases customer satisfaction, demonstrating the direct impact of effective dataprep on operations and customer service.
Read more: Generating value with data: a little about CDOIQ LATAM
Innovations in financial services
Executive Jun Okawa, in turn, discussed the importance of dataprep in Banco Safra's credit analysis models.
For the professional, proper data preparation allows the bank not only to improve the accuracy of its credit assessments, but also to adapt its financial products to the real needs of customers, based on historically rich and well-integrated data.
Automating Dataprep for Efficiency
Both leaders agreed on the vitality of automation in the dataprep process.
Automated data prep tools use AI to clean and organize data more efficiently and with less human error. This approach not only speeds up data processing but also ensures greater reliability in the results of AI analyses.
Empowering Innovation with Dataprep and AI
This panel reinforces the points discussed in our article on Dataprep and AI . Integrating robust dataprep with AI systems is crucial for any organization seeking to lead in innovation and operational effectiveness.
The cases of Renato Lopes and Jun Okawa illustrate how well-executed data prep strategies can transform entire industries, offering deeper, actionable insights for decision-making.
Ready to take your data strategy to the next level? Explore how Data Preparation can transform your data analysis and AI implementation. Visit our blog to read the full article “ Dataprep: Learn how to use this feature in your data strategy ” and discover more resources that can help you improve your operations.