Addressing Myths Associated with AI and ML Adoption
25. 5. 2021
Common misconceptions pertaining to AI/ML adoption, including investments, skills, and getting business buy-in.
Demystifying AI & ML on AWS: Common Applications Across Industries
25. 5. 2021
Common AI and Machine Learning Applications in Retail, Manufacturing & Automotive, and Financial Services & Insurance Sectors
Babelfish: AWS’s Latest Open-Source Initiative
27. 4. 2021
A new translation layer for Amazon Aurora PostgreSQL
Fraud Detection with Amazon SageMaker
16. 4. 2021
Building a Simple Machine Learning model for Fraud Detection with Amazon SageMaker
Migrating from Legacy Databases to Amazon Redshift
25. 11. 2020
A guide on how Redshift compares with Legacy Databases and Aroa's methodology for Migrating to Redshift
Using Amazon Redshift to Enhance Leading Accounting Platform with Advanced Analytics Capabilities
24. 11. 2020
Aroa Data Quality Methodology
19. 8. 2020
This Data Quality Methodology Handbook explores Aroa’s best practices and outlines a step-by-step methodology for instilling data quality within targeted data sets, with an aim of accelerating value across your organization.
Recent Trends in Managed Services and How to Select the Right Provider
20. 7. 2020
The usage of third-party IT Managed Service Providers and the criteria you should look for when selecting a vendor.
Turbo Charging Value Of Key Data Sets at AstraZeneca
17. 6. 2020
Read about how Aroa accelerated the delivery of AstraZeneca's modern data warehouse, offering improved insights and data accuracy to empowering the business to make data-driven decisions.
Organizational Responsiveness Through Data Estate Modernization
17. 6. 2020
Organizational responsiveness is critical, especially amongst the rapidly evolving business landscape. Organizations must ensure that their Data Estate is prepared to support their business strategy.
Realizing Value From Your Data With Aroa AI & Analytics
16. 6. 2020
Our AI Methodology is designed to ensure you garner value from your data quickly, enhancing your processes and extracting useful insights.
Data Quality Guide to Enhancing the Customer Experience
10. 6. 2020
A deep dive into the best practices and critical steps to achieving data quality excellence, especially as it pertains to customer data and improving the customer experience.