Igor Zax (Zaks), CFA, President of TenzorAI, will chair Insuring Short Term Trade Finance conference by Informa, to be held in London on 27 November 2018. The event will feature some of the top leaders in the industry, such as Vinco David – Secretary General, Berne Union and Robert Nijhout – Executive Director, ICISA.
In addition to chairing the event, Igor will also make a keynote presenation:
Artificial intelligence: Hidden Game Changer in Trade Credit?
What is artificial intelligence and why it is transforming so many industries?
What are the nature of the risk in trade credit?
How are we using data and can the underwriting process be redesigned?
How can AI and Blockchain work together?
Bringing it all together: How can AI transform trade risk and financing ecosystem?
Tenzor AI pleased to announce that it has been selected as part of 2018-2019 Blockchain/AI cohort of Creative Destruction LAB, an incubator where founding teams build startups that leverage the coevolution taking place between new technologies for prediction (AI) and verification (blockchain). The program provides specialist economics and technical training, access to top investors, mentors and scientists, as well as other resources. We are looking forward to our work with CDL to build a massively scalable business.
Igor would present on a panel “The Digitalisation Debate: How Are New Technologies Impacting Short Term Trade Credit?”
The Digitalisation Debate: How Are New Technologies Impacting Trade Credit?
Technology in trade credit is not so much a question of if, more a question of when. The answer to that seems to be ‘very soon, if not now’ so instead this panel will look at the how. Much talk of a blockchain revolution and Artificial Intelligence has left many wondering how exactly this will impact the industry. So this panel will debate:
What are the current tools available for trade?
What impact could existing technologies have?
What are the obstacles to implementation?
What type of evolution are we going to see?
Igor Zax – President, Tenzor AI
Raj Iyer – Digital Platform Strategist, BNY Mellon
Rory Kaplan – Director – Offering Manager Trade and Supply Chain at CGI
Jason Prevette – Team Leader | Special Products Americas at Atradius
As a speaker, I am delighted to extend 20% speaker discount code for ExCred New York: FKW53662SPK . There is also limited number of complimentary passes available for traders, producers and corporates.
Volodymyr Babich, Lapeyre Family Term Associate Professor of Business Administration at the McDonough School of Business, Georgetown University, is joining the advisory board of TenzorAI, company specialized in using supply chain information to facilitate better credit decisions and financing solutions through applications of Artificial Intelligence tools.
TenzorAI mission is to help suppliers, buyers and financiers extract maximum value from the vast and largely untapped supply chain data, including ERP, CRM, procurement integration, credit files, e-mails etc. We build highly customized intelligent engines designed to assist in informed decision making on credit, risk, and pricing in near real-time and return the highest possible value over both the short and long term.
Volodymyr Babich is the Lapeyre Family Term Associate Professor of Business Administration at the McDonough School of Business, Georgetown University. Prior to joining Georgetown University, he was an Assistant Professor at the University of Michigan, Ann Arbor, and worked for Penske Logistics Engineering. He earned his Ph.D. in Operations Research from Case Western Reserve University, Weatherhead School of Management. He also holds M.S. degrees in Management Science and Mathematics. Prof. Babich’s research interests are the interface of operations and finance, supply risk management, supply chain finance, supply chain management, stochastic modelling, and risk management. His research has been supported by the National Science Foundation, and various university and industry grants. His papers have been published in leading Operations Research, Operations Management, and Industrial Engineering journals. Prof. Babich serves as an associate editor for Management Science, M&SOM, and Naval Research Logistics, and as a senior editor for Production and Operations Management. He is an active member of INFORMS and the MSOM society, and has served twice as the Chair of the MSOM Special Interest Group on the Interface of Finance, Operations, and Risk Management (iFORM). Igor Zaks, President and CEO of TenzorAI, says: “We are delighted to welcome professor Babich, one of the leading experts in cross disciplinary Operations Management Research to our advisory board. We are confident Volodymyr’s vast experience and knowledge would provide valuable academic prospective to our ground breaking strategy.” Volodymyr Babich says: “I am delighted to join the advisory board of TenzorAI and look forward to working with its talented team.”
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.
Vlad Skorokhod has co-authored a best practices report “Problem Solving: The Right Data for the Right Question”. Working with 15 other Canadian experts at The Vision to Value (V2V) – analytics practitioners, managers, academics, suppliers and other stakeholders – he contributed to developing a study that assembles ‘wisdom of the experts’ to provide guidance for improving analytics practice and outcomes.
Vlad Skorokhod presented a talk entitled “Probabilistic Graph Models for Predictive Troubleshooting” at the Data Science and Big Data Analytics conference in Toronto, May 24-25, 2018. The presentation focused on modeling streaming sensor and server log data with dynamic Bayesian Networks to predict and intercept device failure in Managed Services, and discussed mitigating uncertainty and data sparsity at the exploratory stage of business problem solving.