Igor Zaks, CFA, President of Tenzor Ltd. and CEO of TenzorAI, was interviewed by Jack Large, Editor of Cash & Treasury Management File, on the basis of Artificial Intelligence and its implications for Corporate Treasurers.
The interview targeted Corporate treasury professionals covers some basic principles of artificial intelligence, why these tools can provide significant benefits to Treasury function, and some of the areas of its practical applications. This is the first webcast in a series with CTM File- the next one would specifically focus on using AI to better manage accounts receivable risks within an enterprise context.
Igor Zax (Zaks), CFA, President of TenzorAI, will present at TXF New York 2018 Transformative Trade, Treasury and Supply Chain conference 13 September 2018.
The presentations covering use of AI (including distributed AI) within trade and supply chain financing would be part of a panel on TRANSFORMATIVE TECH: DISRUPTING TRADE FINANCE THROUGH BIG DATA, AI & BLOCKCHAIN. The panel would also include Alisa DiCaprio, Head of Research, R3, John Stillwaggon, CEO USA, Tradewind, and Nancy Amert, Director, CGI Trade Innovation Lab.
The panel, The Corporate Assessment: Debate and Verdict, would include physical and financial supply chain experts who will offer their thoughts on the benefits and drawback of each solution, assess how various techniques can be combined to maximise supplier participation, provide perspectives on SCF best practices, and debate what is required to entrench supply chain financing as a universally accessible standard practice for the corporate sector. An audience
Q&A will finish the session.
The panel, that was the closing panel of the conference included Ingo Schröder from Jebsen & Jessen and Chris Hyde from Mitigram and was focused on a corporate view of both banks and fintechs offerings and the degree in which such offerings addressing “real” corporate needs
The article discussed effects of granting credit to customers, credit origination process,credit risk management, dilutions/late payments and their effects, concentrated A/R, effect of A/R policy on return on capital.