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Supercharging ACL with Python: Practical Integrations for Smarter Analytics (1.2 CPE)
$30.00
Python is becoming more important—especially when you’re using ACL—because it opens the door to working with AI agents, automating tasks, and web intelligence. The Python coding language is quickly becoming an essential companion to ACL—especially when you’re ready to go beyond traditional analysis and tap into the power of automation, AI agents, and web intelligence.
If you’ve ever built a set of results in ACL and wondered “Now how do I explain this?” or thought “There’s more we could do to analyze this data.”, this session is for you. Python libraries can help generate clear, human-like summaries of your findings using AI-powered language models. But that’s just the beginning.
Learning Objectives
- Enhance fuzzy matching and even categorize large vendor lists—like identifying which of your thousands of vendor names might be individuals.
- Scrape the web using search tools like DuckDuckGo to find vendor websites, perform blacklist checks (like OFAC), and pull public filings such as SEC risk declarations.
- Automate research and documentation—from writing reports to summarizing findings for decision-makers.
All of this can be done from your ACL scripts using the EXECUTE command and other methods to run Python code. We’ll walk through examples that show how to run Python code alongside ACL scripts and explore the most useful libraries and AI tools for modern auditors.
Get ready to bring your ACL projects into the next era of audit analytics.
Duration: 1 hour (approximate)
CPEs Available: 1.2
Knowledge Level: Basic
Category: Data Analytics






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