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Event Date |
Tue Jun 20 CDT (over 1 year ago)
In your timezone (EST): Tue Jun 20 1:00am - Tue Jun 20 1:00am |
Location |
TBA
Texas, Dallas, USA |
Region | Americas |
Financial Institutions must adopt technologies like AI and ML to predict potential cyber-attacks and protect sensitive data. To stay ahead of advanced cyber threats from cybercriminals, banks must incorporate AI/ML in their strategies.
• Identifying And Responding To Cyber Threats
AI & ML Analyze Data, Detect Patterns, And Enable Banks To Prevent Threats.
• Fraud Detection And Prevention
AI & ML Detect Fraud Patterns And Predict Future Activity, Helping Banks In Taking Preemptive Measures.
• Risk Management
Banks Depend On AI/ML Technologies To Mitigate Potential Risks & Prevent Potential Losses.
• Compliance & Regulatory Requirements
AI/ML Can Help Banks To Automate Compliance Processes While Also Ensuring That They Comply With Regulations.
• Safeguard Customer’s Data
Banks Can Use AI/ML Tools To Build Robust Cybersecurity Systems And Prevent Cyber Threats And Data Breaches
• Maintaining Trust
AI/ML Builds Trust By Personalizing Experiences, Preventing Fraud, Managing Risks, And Ensuring Compliance.
2023 Speakers
Yuvaraj Mohan
Top-performing strategist, Banking & Financial, Personal, and Life insurance markets.
Marc Ashworth
Senior Vice President and Chief Information Security Officer, First Bank
Gregory Rasner
Cybersecurity and IT leader in Finance, Biotech, Technology and Software fields
Keith Donnelly
Emerging Risk, Bank/technology Risk Management, 3rd Party Risk, Governance, Compliance And Internal Audit
Shailesh Chirputkar
Director, KPMG’s Technology Risk Management practice
Jeff Marshall
Leads the technical teams - Solution Architects, Backend Engineers, Quality Assurance Engineers and System Engineers.
2023 Partners
• InfoVision
• Digit7