GiftNiftyFutures 28-Nov-2024
24,042.50 188.00 (0.79%)

23-Nov-2024 02:49

27-Nov-2024 | 84.4400

22-Nov-2024 17:00

Lac Crs 429.29 | Tn $ 5.08

22-Nov-2024

Login to

You will be redirected to
another link to complete the login

Feedback
Login to Mutual Fund, NCFM
Banner

RIMS-Leveraging Data AI and Analytics for Continuous Risk Management Bootcamp

 
TOTAL DURATION CERTIFICATION VALIDITY COURSE TYPE
02 Days Lifetime Offline

For further information, contact

Pratiksha: 86556 47412

Email: programinfo@nse.co.in

 

The 2-day, 3-module bootcamp tackles the three challenges and focuses on Leveraging Data, AI and Analytics for Continuous Risk Management.

Module-01

This module is about Leveraging Data and Analytics for Continuous Risk Management. Participants review new data analytics trends and capabilities, understand risk data and analytics uses/applications and potential value in continuous risk management. They learn the key challenges in leveraging data and analytics assets and capabilities. The participants will also apply practices for effective ownership of risk management data and applied analytics (processes, frameworks, tools).


Module-02

In Optimising Risk Management with AI participants learn how to use AI to identify fraud, track and manage your organization’s reputation, predict financial concerns, and mitigate a variety of risks.


Module-03

Managing Data for AI in ERM constitutes the third module in which participants learn about the tools needed to assess, combine, manage, visualize, and present data in an effective manner.
 

01. Leveraging Data and Analytics for Continuous Risk Management

Review new data analytics trends and capabilities(data, technologies, analytic skills, advanced analytics methodologies) Understand risk data and analytics uses/applications and potential value in continuous risk management Learn challenges in leveraging data and analytics assets and capabilities Apply practices for effective ownership of risk management data and applied analytics (processes, frameworks, tools)

02. Optimizing Risk with AI

Define Artificial Intelligence and Subsets of AI Identify AI Uses in Risk Management Plan Your AI Program (includes utilizing available algorithms for risk) Summarize Example Artificial Intelligence Use Cases


03. Managing Data with AI

Understand 6 C's of Trusted Data Review how to assess and improve data completeness, cleanliness, currentness, and consistency Learn how to identify, evaluate external data sources to enhance internal data Apply hands-on exercises to acquire and mashup data from multiple sources, enrich and enhance it, and visualize and analyse it Understand how to work with Data Scientists

  • Entrepreneurs
  • Risk Managers
  • Senior Risk officials
  • Group Heads
  • CRO, Directors
  • Risk Executives
  • Internal Auditors
  • Compliance officers

Certificate of Completion is issued jointly by RIMS-US and NSE Academy

Updated on: 26/08/2024