AI in Financial Services Podcast

Our guest this week, Madhu, works at one of the top 10 Australian banks. He has a lot of experience applying AI in customer service. Madhu speaks about how to grow an AI team, when to hire data scientists, when to hire someone to lead those data scientists, and what kinds of talent needs to be there to help guide data scientists. If you're interested in learning more about our AI Opportunity Landscape work in the financial services industry, watch our video at emerj.com/fs1.

Our focus this month on AI in Banking is on building a successful data science team. This week, we speak with Jan Veldsink, who heads up AI for compliance at Rabobank. He discusses how to educate cross-functional AI teams, answering questions about how to get subject-matter experts and data scientists on the same page and how to measure the success of AI teams. If you're interested in getting started with AI at your bank or financial institution, be sure to download our Beginning With AI PDF guide at emerj.com/beg1.

Almost any time we engage with financial institutions, chatbots are at least part of the conversation. There are not many credible chatbot companies that are focused explicitly in banking, but Kasisto is one of them. Our guest this week, Sasha Caskey, is CTO of Kasisto. Sasha talks about starting small with chatbots and reasonable expectations for them in banking. If you're interested in mapping the full landscape of AI applications in financial services, be sure to watch our AI Opportunity Landscape video at emerj.com/fs1.

Our guest this week, Paul Barba, heads up AI efforts at Lexalytics. I visited their headquarters as part of our AI in Montreal piece we released about 2 years back. Paul speaks with us about how NLP can layer value on top of conversational interfaces, as well as the limits of chatbots and NLP in finance. For more on what NLP can and can't do in business, be sure to download our 9-page guide, Unlocking the Value of NLP in Business, at emerj.com/nlp1.

This week, we interview Madhu, who works on conversational interfaces at one of the four largest Australian banks. He speaks today about the phases of deployment for bringing a chatbot to life in financial services. It involves more phases than people might presume, but they are important to understand. If you have an interest in the broader AI opportunity landscape in banking, you can learn more about how we can help at emerj.com/fs1.

Scott Nowson, AI Lead at PwC, Middle East, discusses the three phases of building a chatbot from scratch. They explore the use of chatbots in banking and finance, advantages of chatbot implementation in retail banking, balancing implementation and feasibility for chatbot questions, and handling the bot to human handoff.

This week, we interview Jan Veldsink, head of AI for compliance at Rabobank. He's been using AI and advanced statistics to detect fraud at Rabobank for nearly ten years. He shares with us some practical near-term applications of NLP in compliance, as well as his ideas on where NLP can add more value to banking in the future. This is our last episode in January's series on NLP in banking. If you want to take action on the ideas we've talked about this month, be sure to download our guide on NLP use-cases at emerj.com/nlp1.

This week, we speak with a fan favorite guest from our AI in Industry Podcast: Dr. Charles Martin of Calculation Consulting. Charles talks about the challenges of applying natural language processing to wealth management, including what's working and what's not with AI in wealth management. He has a lot of experience applying AI in the enterprise, and I think you'll enjoy this particular episode quite a bit. If you're interested in NLP and where it can be used in your business, download our NLP use-case guide at emerj.com/NLP1.

We speak this week with Greg Council, VP of Marketing and Product Management at Parascript, an AI-enabled search and discovery vendor selling into the financial services sector. In this episode, Greg discusses what NLP can and can't do in the banking industry. If you're interested in broad natural language processing use-cases and you haven't already downloaded our NLP use-case guide, you can do so at emerj.com/NLP1.

It's the first episode of the new decade, and we're kicking off with our theme for the entire month of January: natural language processing (NLP) applications in banking. Our first guest is Lee Smallwood, COO Markets and Securities at Citi. He was a trusted advisor for our most robust AI in banking research report. This week, Lee talks about front- and back-end NLP applications in banking, and I think he paints a great overall picture that will tee up the other three interviews for this month well. If you're interested in where NLP could fit in your business, download our Unlocking the Business Value of NLP PDF guide. It's the most succinct resource for figuring out where NLP would make a difference at your company. Download it at emerj.com/NLP1.