Sao Paulo, 04710-230,
Brazil
Cargill Brazil Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Cargill Brazil and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 11000 Cargill Brazil employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Cargill Brazil has purchased the following applications: Cloudera Data Science Workbench for ML and Data Science Platforms in 2020, Tableau for Analytics and BI in 2015, Adobe Experience Manager for Digital Asset Management in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Cargill Brazil is running and its propensity to invest more and deepen its relationship with Cloudera , Tableau Software , Microsoft or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Cargill Brazil revenues, which have grown to $2.50 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Cargill Brazil intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cloudera | Legacy | Cloudera Data Science Workbench | ML and Data Science Platforms | AI Development | n/a | 2020 | 2020 |
In 2020 Cargill Brazil deployed Cloudera Data Science Workbench within its ML and Data Science Platforms estate to support the global Trading Data and Analytics Team based in São Paulo Brazil. The implementation targeted analytics for crop science and grain quality workflows as well as research in animal nutrition and bioinformatics, positioning Cloudera Data Science Workbench as the primary environment for algorithm development and experimentation.
The deployment used Cloudera Data Science Workbench to host interactive notebooks and scalable model training, supporting development of artificial neural network prediction models, time series forecasting, Bayesian modeling, Markov Chains and Monte Carlo simulations. Data science toolchains included PySpark and Python libraries such as scikit learn Keras TensorFlow PyMC3 Prophet and PyTorch alongside R Studio for statistical workflows, with metadata and NLP processing integrated into project workspaces.
Operational architecture integrated the workbench with the Hadoop ecosystem including Impala and Hive and consumed relational data from Oracle DB and SQL sources. Graph database capabilities were brought into model pipelines through NeptuneDB and Neo4j, and compute and storage workflows spanned Amazon AWS and Microsoft Azure with selective use of Google AutoML for comparative model experiments.
Governance and delivery relied on a CI CD pipeline built with Docker Kubernetes and Drone to standardize experiment reproducibility and promote automated model packaging and orchestration. The implementation centralized development and experimentation for trading analytics research and local São Paulo science teams while establishing repeatable build and deployment workflows for production handoff.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tableau Software | Legacy | Tableau | Analytics and BI | Analytics and BI | n/a | 2015 | 2015 |
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Analytics and BI | Analytics and BI |
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2018 | 2018 |
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Data Warehouse | Analytics and BI |
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2020 | 2020 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Experience Manager | Digital Asset Management | Content Management | n/a | 2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Data Management Platform | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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