FIO

LOGU

Foundations in AI for Finance Department

This course provides an introductory overview of how AI can be utilized within the finance sector, aiming to give finance professionals insight into the transformative potential of AI technologies in their field.

Duration - 2 Hours

Table for Course Outline:

Module NameDurationDescription
Introduction to AI in Finance24Introduction to how AI technologies are applied in finance.
AI for Financial Data Analysis24Exploring AI's role in analyzing financial data.
AI in Risk Management24How AI can help in assessing and managing financial risks.
AI for Compliance and Monitoring24Using AI to ensure compliance and monitor operations.
Future Trends in Finance AI24Discussing upcoming AI trends in the finance sector.

At least 5 examples of AI’s application in Finance:
1. Automated Trading Systems
2. Credit Scoring and Risk Assessment
3. Fraud Detection Systems
4. Robo-Advisors for Personal Finance
5. Blockchain Technology for Secure Transactions

Financial Analyst (Total time: 2 hours)

Roles: Talent Acquisition Specialist, Employee Relations Specialist, Learning and Development Specialist, HR Manager, DEI Strategist

Talent Acquisition Specialist (Total time: 2 hours)

Course Name: AI-Enhanced Financial Forecasting
Learning Outcomes: Participants will learn how AI can enhance cash flow forecasting and financial analysis, improving accuracy and enabling more data-driven decision-making.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
AI for Cash Flow Forecasting20How AI can be used to predict future cash flows more accurately.Forecast Pro (Free)
AI in Budgeting and Financial Planning20Utilizing AI to optimize budget allocation and financial planning.Quantrix (Paid)
AI-Enhanced Risk Assessment and Management20Learn how AI can analyze data and customer behavior to enhance financial risk assessments and fraud prevention, providing real-time, accurate evaluations to minimize financial losses.Hands-on
Hands - on 60Participants will create a simple AI model to predict cash flow trends.Custom Agent Building

AI Tools:

Forecast Pro: A free tool that uses time series forecasting methods enhanced by AI to predict future financial metrics.
Quantrix: A paid tool that offers advanced financial modeling and analytics capabilities, incorporating AI to provide deeper insights and forecasts.
Riskified: An AI-based platform that assists in market risk analysis by evaluating transaction data to prevent fraud.

Compliance Analyst (Total time: 2 hours)

AI for Compliance and Risk Management Learning Outcomes:

Participants will understand how AI tools can aid in detecting fraud, preventing money laundering, and identifying anomalies within financial transactions.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
AI for Fraud Detection20Techniques and tools for using AI to detect and prevent fraud.SAS Analytics (Paid)
AI for Money Laundering Prevention20Using AI to monitor and prevent money laundering activities.Actimize (Paid)
AI for Anomaly Detection20Implementing AI to spot unusual patterns that may indicate compliance risks.DataRobot (Paid)
Hands - on 60Participants will build an AI model to monitor and report compliance issues.Custom Agent Building

AI Tools: 

SAS Analytics: A powerful paid tool that uses advanced analytics to detect potential fraud by analyzing transaction patterns and historical data.
Actimize: A comprehensive financial crime risk management platform that utilizes AI to enhance the detection and reporting of money laundering activities.
DataRobot: An AI platform that provides automated machine learning tools to help businesses implement anomaly detection systems efficiently.

Financial Risk Analyst (Total time: 2 hours)

AI-Driven Financial Risk Management Learning Outcomes:

Participants will learn how to utilize AI in identifying, analyzing, and mitigating financial risks effectively. Duration

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
AI for Credit Risk Analysis20How AI models predict creditworthiness and manage lending risks.FICO Falcon (Paid)
AI for Market Risk Management20Utilizing AI to predict and manage risks associated with market changes.Riskified (Paid)
AI for Operational Risk Management20Applying AI to identify and mitigate risks in operational processes.Palantir Foundry (Paid)
Hands-on60Participants will develop an AI model to assess and predict financial risks.Custom Agent Building

Brief explanation for all the specific AI tools mentioned above:

FICO Falcon: A leading AI tool in credit risk management, helping financial institutions predict and manage credit risk through sophisticated algorithms.
Riskified: An AI-based platform that assists in market risk analysis by evaluating transaction data to prevent fraud.
Palantir Foundry: A platform that integrates various data sources to manage operational risks using AI-driven insights.

Investment Analyst (Total time: 2 hours)

Course Name: AI in Investment Strategy and Analysis
Learning Outcomes: This course will equip participants with the skills to apply AI in asset management, portfolio
management, and evaluation of mergers and acquisitions.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
AI in Asset Management20Using AI to enhance asset allocation and management strategies.BlackRock's Aladdin (Paid)
AI for Portfolio20How AI optimizes portfolio selection and risk management.Wealthfront (Paid)
AI in Merger & Acquisition Analysis20Applying AI to analyze and predict the outcomes of potential mergers and acquisitions.KPMG Ignite (Paid)
Hands-on60Participants will create AI models to analyze and predict investment opportunities.Custom Agent Building

Brief explanation for all the specific AI tools mentioned above:

BlackRock’s Aladdin: A comprehensive risk management and investment system that integrates AI to offer insights and analytics for asset management.
Wealthfront: An automated investment service that uses AI to build and manage personalized portfolios based on user profiles.

CFO (Chief Finance Officer) (Total time: 2 hours)

Course Name: Strategic Financial Management with AI
Learning Outcomes:
CFOs will learn about the strategic applications of AI in financial decision-making, from
forecasting to real-time analytics and operational efficiency.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
AI in Financial Forecasting20Exploring how AI can be utilized for accurate and efficient forecasting.IBM Watson (Paid)
AI for Enhancing Financial Operations20Implementing AI to streamline financial operations and reduce costs.Oracle NetSuite (Paid)
AI in Strategic Decision Making20How AI supports CFOs in making informed strategic financial decisions.SAP S/4HANA (Paid)
Hands-on 60Participants will develop AI models to simulate financial scenarios and analyze outcomes.Custom Agent Building

Brief explanation for all the specific AI tools mentioned above:

  • IBM Watson: An AI platform known for its ability to analyze and interpret all data, including unstructured text, images, audio, and video.
    Oracle NetSuite: A cloud business management suite that uses AI to enhance financial operations and real-time analytics.
    SAP S/4HANA: An integrated business suite that empowers CFOs to make real-time strategic decisions using AI-driven insights.