Other Logistics

Datamar Conference Centers on Extracting Data Value

Feb, 07, 2025 Posted by Gabriel Malheiros

Week 202506

On March 25–26, the DataSmart Shipping conference, titled “Applying Technology to Extract Value,” will take place at the Blue Tree Premium Faria Lima Hotel in São Paulo. Organized by Datamar, the event will showcase the transformative potential of data technologies when applied with expertise and precision.

The conference aims to unveil the true potential of data technologies—when applied with expertise and precision, they unlock transformative insights. Featuring a dynamic lineup of presentations, the event will cover everything from practical strategies for integrating diverse datasets to advanced techniques for maximizing the value of available data, using Datamar’s database as a key example.

Key Topics to Be Discussed at the Event:

What We Want Technology to Achieve – AI & Machine Learning

What should AI, machine learning, and other advanced technologies be doing for trade and logistics analysts? What should the end result look like? How far are we from reaching those goals, and do existing technologies already meet some of these needs? This panel, featuring industry decision-makers, aims to build a shared vision for the future.

Advanced Tools for Big Data Analysis

What are the most sophisticated tools currently available for extracting insights from large datasets? Can they truly be considered AI-driven? How much configuration do they require, what programming languages are they built in, and how accessible are they for the industry? Experts at the forefront of these technologies will share their knowledge and experience with the logistics and trade sector.

Government Trade Databases

An in-depth look at Brazilian government trade databases, including Siscomex, Antaq, and Secex. This session will provide an overview of available public data, how access to these datasets has evolved, and the reasons behind these changes. It will also explore how third-party technology influences data accessibility and security, as well as how different datasets interact. Government representatives will discuss the challenges of managing large data volumes and where improvements can be made to extract insights while ensuring security and compliance.

Current State of Big Data Analytics in Trade and Logistics

A comprehensive look at the analytical capabilities of Brazil’s trade data today, including the breadth, frequency, and accuracy of available information. Experts will discuss how current technologies are enhancing analysis and the increasing demand for more powerful, faster, and user-friendly insights. This panel will feature experienced market intelligence analysts from top trade and logistics companies.

Technological Challenges in Structuring Trade Data

What technologies and tools are currently being used to analyze vast trade datasets? What are the key challenges in structuring, acquiring, and storing data? How are companies building large internal datasets, and what role do APIs and data lakes play in this process? This session will examine obstacles to innovation, as well as the potential of AI, machine learning, and advanced analytics. IT directors from leading trade and logistics companies will weigh in on these challenges.

Delivering Insights to Internal and External Clients

Once insights are generated, how should they be delivered to decision-makers? Even organizations with large data science teams must ensure that their findings reach sales, marketing, and executive leadership in a clear and actionable way. At the same time, companies with only one market intelligence specialist face similar challenges in accessing and sharing insights. This session will explore the most effective methods and tools for delivering insights efficiently.

For more information, participant details, and registration, visit: https://datasmart.datamar.com.br/

Sharing is caring!

Leave a Reply

Your email address will not be published. Required fields are marked *


The reCAPTCHA verification period has expired. Please reload the page.