Experts from AWS, Microsoft and other industry leaders discuss Generative AI, CyberSecurity, Hybrid/Multi Cloud Architecture, Application/Network Performance and Data Analytics, plus Real-Life Use Cases and Deployment Recommendations, specifically for Financial Services organizations across Investment/Asset Management, Hedge Funds, FinTech, Capital Markets, Private Equity/Venture Capitalist, Payments, Banking, Credit Union, Insurance, Accounting, etc.
Date/Start Time: October 23, 1 pm ET
Scroll down to see the full and detailed agenda, plus expert speakers. Click on their name to view their Linkedin profile, and session title for additional information. There is time for live interaction/Q&A with the speakers so have your questions ready. CPE credit hours are provided.
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Speakers, Topics, Agenda
1:05 Murali Sankar, Senior Solutions Architect, AWS, & Srividhya Pallay, Solutions Architect - Gen AI, AWS
AWS Bedrock Generative AI Solutions for Financial Services
AWS is a pioneer at the intersection of financial services and technology, enabling our customers to optimize operations and accelerate innovation through the broadest set of services and partner solutions—all while adapting to ever-changing regulations. Thousands of financial services firms, from the fastest-growing fintechs to systemically important financial institutions, are redefining their future on AWS.
This session will showcase how Amazon Bedrock empowers organizations, particularly the financial services sector, to harness the full potential of Gen AI without compromising on data protection or ethical standards. With a strong emphasis on data security, protection, privacy, compliance, guardrails, and least privilege access management, it provides a comprehensive guide to ensuring the safe and secure deployment of generative AI models in highly regulated environments.
Attendees will gain valuable insights into real-world use cases within the financial industry, such as risk assessment, fraud detection, and personalized financial advice. They will learn best practices for leveraging the power of generative AI while maintaining strict adherence to financial regulations and data governance policies. The presentation will highlight how Amazon Bedrock can help financial institutions innovate responsibly, enhance customer experiences, and optimize operations while safeguarding sensitive financial data and maintaining regulatory compliance.
1:30 John Weidenhammer, Senior Systems Engineer, Cloudbrink
Fast, secure connectivity for financial professionals everywhere, to accelerate your business and eliminate VPNs that often cause poor productivity in the remote workforce
Cloudbrink is purpose-built to deliver the financial services industry's highest performance connectivity to remote and hybrid employees, anywhere in the world. With an all-software solution and leveraging a highly secure zero-trust model, Cloudbrink accelerates performance for financial applications, trading platforms, and data center apps.
1:50 Ward Cobleigh, Product Line Manager - Network Performance & Threat Solutions, Viavi Solutions
Network Observability and End-User Experience Monitoring for Financial Services
Financial Services firms are facing change at an unprecedented rate. The services they offer must continue to provide competitive differentiation from both established firms as well as newer organizations that are looking to enter and disrupt the market. Legacy services and systems must work reliably and efficiently while at the same time new service rollouts must happen on-time and on-budget.
For the IT Team and Network Engineers, this translates into new demands and requirements when it comes to rolling out these new services and providing visibility into how they are performing. Are they meeting the goals and needs of the business? Are they meeting or exceeding customer expectations? Often, the reality is that IT is expected to meet this growing list of demands and requirements with the existing budget, staff, and tool sets.
If an effort to make the best use of all available tools and data sources, many network experts find themselves once again dependent on our old standby, packet capture and analysis. While packets remain the ultimate source of truth when it comes to troubleshooting and securing the network, packet captures are not always the ideal data source when it comes to understanding performance, managing the end-user and customer experience, and prioritizing support issues.
The combination of automated End-User Experience Scoring, with quick and easy access to packets when needed, meets the needs of those who need to understand overall service performance as well as those who need to roll up their sleeves and analyze individual conversations taking place across the network. VIAVI will discuss and demonstrate how this powerful combination can provide both high-level network observability, and the packet-level details needed to hold vendors accountable and solve complex problems.
2:10 Arunansu Pattanayak, Technical Specialist, Microsoft
Microsoft Cloud and AI for Financial Services
Learn how to unlock business value and deepen customer relationships in the era of AI, with Microsoft Cloud for Financial Services, covering these five critically important topics:
Transform the financial services experience: Deliver differentiated customer and client experiences with deeper insights and relationships
Empower financial services employees: Improve productivity through better teamwork, insights, and communications
Manage risk and compliance: Deepen risk insights, facilitate regulatory compliance, and combat financial crime.
Modernize core systems: Meet new customer needs and reduce costs by bringing core systems and data to the cloud.
Create a sustainable future: Drive impactful sustainability outcomes in financial services with ESG solutions and analytics.