Thursday, January 23 @ 11am EST

Actual use of artificial intelligence (AI) and machine learning (ML) has outpaced even the heady expectations in finance. Leading fintechs have been busy testing and rolling out new functionality. The rate of development seems to be exceeded only by the hype of the evening news. There are many questions surrounding how AI and ML are solving – and how will they continue to solve – issues such as the following: sophisticated fraud; cash forecasting; data quality control; accounting entries; report generation; summary of data; trend analysis and projections; running multiple models; finding correlations and causation; identifying and quantifying exposures and risks; etc.

See how fintechs are solving issues today, testing new functionality, training their systems, and planning new services that add value to corporate teams. How do they plan to leverage this technology over time? What are some key pieces of their strategy and some high-level details of their product roadmap?

Thursday, February 20 @ 11am EST

Every bank account represents a point of exposure and a source of cost. When companies exceed 75 or 100 bank accounts at more than a handful of banks, they need to be more formal in their management of accounts, services, and permissions. Managing accounts provides for efficient use of services, consistent controls, and optimized costs while supporting excellent cash concentration methods. Compliance and KYC also play a role in how companies use technology to support this vital function. Managing various financial accounts (bank DDA, custody accounts, merchant accounts, etc.) may be contemplated in the various solution sets.

Observe how fintechs are solving the challenges of control, organization, efficiency, and compliance with their systems. Consider the following questions: What level of complexity requires the use of a system to be good stewards of our bank and financial accounts? Where are the benefits to be found in a BAM system? What are the trade-offs and benefits of an integrated system and of a dedicated system?

Thursday, March 13 @ 11am EST

Managing working capital is a major component of managing liquidity. Accounts receivable, inventory, and accounts payable are three areas of the cash conversion cycle (CCC) that have a significant impact on liquidity. All great organizations are intentional in their management of working capital and liquidity, and optimization of the CCC is a key driver to success in managing working capital effectively. Tools that drive optimization and those that provide additional liquidity options (e.g., supply chain finance, dynamic discounting) help companies improve their performance and liquidity.

How can a fintech or bank provide a more efficient process in either the order-to-collect (O2C) or the procure-to-pay (P2P) side of the cash conversion cycle? How important are efficiency, scalability, and liquidity to different organizations? Can some of these be solved at the same time? Certainly, access to liquidity can come from credit facilities and debt instruments. How are some providers helping companies leverage the CCC? How can the use of funds from a 3rd party change the calculus for liquidity availability and cost?

• AI and ML Use (any product category)
• Accounts Receivable Solutions
• Accounts Payable Solutions
• Bank Connectivity and Format Conversion
• Bank Fee Management, Fee Management (cash management, card)
• Centralizing Treasury Structures: Cash Pooling, In-House Banking
• Compliance: KYC, FBAR, BOI, and More FBAR
• FX Payments & Risk Management
• Investment Portals (Investing, Accounting, Compliance, Counterparty Risk)
• Payment Security & Fraud Management
• Payments (Corporate Payments/B2B)
• Treasury Analytics, Dashboarding, and Reporting
• Virtual Accounts