Unlock the business value of AI in financial services with in-depth interviews on trends, use-cases, and cutting-edge best practices.
In each episode, Emerj Founder Daniel Faggella interviews leaders at firms like HSBC, Citigroup, and Visa - as well as AI innovators from Silicon Valley and around the world.
Subscribe to Emerj's weekly AI newsletter by downloading our "AI in Financial Services Cheat Sheet" PDF guide: https://emerj.com/fin1
Enterprise AI: When to Build, Buy, or Both? - with Pamela Negosanti of Expert AI
Today's guest is Pamela Negosanti, Head of Sector Strategy for Financial Services of Expert AI, a firm based in Italy, and doing lots of work globally in the financial space and NLP. Pamela breaks down in relative depth when and how to decide to build, buy, or combine the two. She lays out a couple of different continuums and gradients on decision-making that will help you figure out when you have more points on either side of the board, lean on the build or buy direction, or meet somewhere in the middle. If you are interested in learning to select the right AI vendor and going the buy route, be sure to download our free PDF brief called "5 Ways to Select the Right AI Vendor" at emerj.com/buy1
Post-COVID Changes of AI Priorities in FinServ - with Mark Gazit of ThetaRay
Today, returning with us is Mark Gazit, CEO, and Founder of ThetaRay, a firm based in Israel but doing business globally, with nearly $70M of funds raised, helping with fraud and anti-money laundering. Mark speaks with us today with a broader perspective in the world of fraud and AI deployments in general, as to where they will find more or less of a fit in the world of financial services in the year ahead as we aim to recover from this wild crisis. Want to learn more about AI deployment? Get Emerj's PDF guide: emerj.com/p1
Where Conversational Interfaces Belong in Banking - with Shankar Narayanan of Active.Ai
Today's guest is Shankar Narayanan, Co-Founder, and COO of Active.Ai, a Singapore Head Quartered Fintech startup with an innovation lab in Bengaluru that delivers conversational banking services to help banks and financial institutions redefine their future digital strategy through AI. Shankar speaks to us today about where conversational interfaces belong in banking, where they can get fruitful use, and the areas where it is unrealistic to expect them to deliver value. Are you interested in more NLP use cases, including Conversational Interfaces? Download our free PDF Brief "Unlocking the Business Value of NLP" here: emerj.com/nlp1
Text Analytics and NLP in Financial Services - with Ram Sukumar of IndiumSoft
Today's guest is the great and brilliant Ram Sukumar, Co-Founder and CEO of Indium Software, a Technology Solutions company with deep expertise in Digital and QA services, such as AI, Advanced Analytics, Text Analytics Center of Excellence, Big Data, Data Engineering, Stream Processing & Data Virtualization, and low-code development across platforms. Ram speaks with me today about particular workflows for text analytics. What does it look like in operation? Where do people get it wrong, where can it fit into play, and where is the potential value for text analytics when it comes to ideas for use cases? What are the practical realities of what you need to expect when deploying these technologies? Are you interested in more use cases and best practices around AI adoption and ROI? Check out Emerj Plus at emerj.com/p1
Applying NLP in FinServ, Practical Considerations - with Luca Scagliarini of Expert.ai (formerly Expert System)
Returning today is the great and brilliant Luca Scagliarini, Chief Product Officer of Expert.ai (formerly Expert System). Expert.ai is a public enterprise services company specializing in Natural Language Processing (NLP). Expert System went public in 2014 and continues to grow, raising $29.4 million to expand its AI text extraction & analysis capabilities in 2020. Its clients include giants like Dow Jones, Vodafone, and the U.S. government. Expert.ai's approach combines symbolic human-like comprehension and machine learning to transform language-intensive processes into practical knowledge. In this episode, Luca helps us dive into: the "war" between symbolic & ML techniques for NLP, when to use NLP to support financial services, and what companies often get wrong. Want to learn more about unlocking the business value of NLP? Get Emerj's PDF guide: emerj.com/nlp1
AI in Risk Management - with Ash Fontana, General Partner at Zetta Ventures
Today Emerj welcomes the return of the great and brilliant Ash Fontana, General Partner at Zetta Ventures. Zetta primarily invests in AI-first companies with B2B business models, with a portfolio including Kaggle, Domo, and other notables. Ash's career has spanned private equity, investment banking, as well as venture capital. In this episode, he offers a valuable perspective on where AI is taking financial services. Episode topics include: AI-driven risk measurement, risk prediction, and risk mitigation. Want to learn more about AI in financial services? Get Emerj's pdf guide: emerj.com/fin1
Relevant and important
Banks and fintechs that leverage AI will thrive, those that don’t will struggle. This podcast discusses ideas and best practices that are critical for leaders at all levels to understand.
Dan always provides practical easy to understand knowledge that bridges the gap between technical and business professionals