Edition 19: ChatGPT Speaks: Enhanced Voice Interaction
Welcome to the AviaryAI Newsletter!
Thanks for joining us as we explore the intersection of GenAI and finance with practical learnings and the latest relevant insights. Let’s get started.
This week you’ll learn:
- 🎙️ ChatGPT gets a voice upgrade: What it means for CUs
- 🤼 AI partnerships tested: Microsoft's strategic shift
- 🌮 Taco Bell's AI drive-thru: Lessons for credit unions
- 💡 A new mental model for Execs to think about Generative AI
- 💼 JPMorgan's AI push: Stay ahead or fall behind
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GENERATIVE AI THIS WEEK
The coolest things we're watching and why you should care
Advanced Voice: A Leap in Conversational AI
OpenAI is gradually rolling out an advanced voice mode for ChatGPT Plus subscribers, featuring improved conversational abilities and four preset voices. The launch was delayed to enhance safety measures, including content filtering and copyright protection. This update marks a significant advancement in AI-human interaction, addressing previous concerns about voice similarity and content generation.
So what?
Engaging with a business/service via voice-based interaction is no longer science fiction – it's here now. AviaryAI is hard at work realizing the potential of this new channel of interaction. While AviaryAI doesn't use ChatGPT’s new Advanced Voice feature, it’s undeniable capabilities highlights the growing potential of voice AI to solve real-world problems.
Read the full story here
Microsoft Lists OpenAI as Competitor in SEC Filing
Microsoft has officially listed OpenAI as a competitor in AI and search in its annual SEC filing, despite their $13 billion investment and long-term partnership. This unexpected move comes amidst antitrust concerns and follows OpenAI's recent launch of SearchGPT, potentially challenging Microsoft's search offerings.
So what?
This development highlights the complex dynamics in AI partnerships and serves as a reminder for credit unions to carefully evaluate their own AI collaborations. As the AI landscape evolves, potential shifts in partnerships, services, and capabilities are possible. The ability to adapt to these potential changes will be critical for the success of any AI strategy.
Taco Bell Adds AI to the Drive-Thru
Taco Bell is rolling out AI-powered voice ordering technology at drive-thrus across the U.S. after a successful two-year trial. The system aims to streamline ordering, reduce wait times, and allow staff to focus on improving customer experience and order accuracy.
So what?
Taco Bell's large-scale AI implementation showcases how even traditional businesses are embracing AI to transform operations. Keeping an eye on this customer-facing example could bring insights to how CUs can deploy AI for similarly complex, customized tasks at scale while balancing the human touch where it matters most.
Read the full story here.
THE AI EXECUTIVE'S HANDBOOK
One simplified GenAI concept per week to build your AI Acumen
How to Think About Generative AI
In a thought-provoking article, "We've Been Thinking About AI All Wrong" AI expert Daniel Miessler offers a fresh perspective on how to think about AI that's particularly relevant for credit union executives.
Miessler suggests the typical understanding of Generative AI as a “Chatbot” ignores the true potential of this technology.
Instead, it’s more useful and accurate to think of AI as an “Intelligence Pipeline”. In other words, a series of tasks that typically require human-like thinking.
Above is Daniel's example of an intelligence pipeline for an imaginary insurance company that pays people out if their products wear out before they’re supposed to. The pipeline is…
- Look at the 50 pictures of the item that are submitted as part of a claim
- Determine if the item is covered by ClaimRight
- Review the video of the submitter talking through the photos they took
- Determine if it’s the same person who took out the policy based on their face and their voice
- Determine whether the item in the video is the same as the item in the photos
- Determine whether the damage in the photos is from normal wear-and-tear or from abuse
- If everything adds up, mark it as wear-and-tear and pay out the policy.
So how should executives start thinking about AI?
”AI is simply a way to execute all these various Intelligence Tasks better, more consistently, and cheaper.”
As Miessler suggests, the question isn't if AI will change our industry, but how quickly we'll adapt. We'd add that it's also about how thoughtfully we implement it. Credit unions that strategically embrace AI, aligning it with their member-centric values, will not just gain a competitive edge - they'll redefine what's possible in member service and operational efficiency.
The AI revolution in credit unions isn't coming - it's here. The time to act is now.
Read Daniel's full article here.
GENERATIVE AI WORD OF THE DAY
Multi-Modal AI
Multi-modal AI is a type of artificial intelligence that can understand and process information from different types of input, or "modes," such as text, images, audio, and video. Unlike traditional AI systems that focus on just one type of data, multi-modal AI can combine and analyze various forms of information to gain a more complete understanding of a situation or task. This ability allows it to perform more complex and human-like tasks, such as describing what's happening in a video, answering questions about an image, or creating art based on written descriptions.
GENERATIVE AI IN FINANCE
The latest news at the intersection of GenAI and Finance
JPMorgan's Aggressive AI Adoption
JPMorgan Chase has introduced an in-house developed Generative AI chatbot called LLM Suite to its staff.
This AI tool is designed to assist with writing, idea generation, and document summarization, effectively serving as a virtual research analyst. Already deployed to 50,000 employees, the bank is now rolling it out to its asset and wealth management division. JPMorgan is investing heavily in AI capabilities, with plans to provide prompt engineering training to new hires and leverage the technology across various departments.
The bank's investment to AI is evident in its growing team of over 2,000 AI and machine learning experts and data scientists. JPMorgan has implemented over 400 use cases for AI technology in areas such as marketing, fraud detection, and risk management.
So What?
JPMorgan's aggressive adoption signals a pivotal moment in financial services: AI is no longer just a trend—it's becoming the new standard. The window for being an "early adopter" is closing fast. Soon, AI integration won't be a competitive advantage—it'll be a necessity for survival. Credit unions that delay risk falling behind not just in technology, but in member expectations and operational efficiency.
However, this moment also presents a unique opportunity. By acting now, credit unions can shape how AI is used in their sector, potentially finding innovative ways to blend AI efficiency with the personalized service that sets them apart. The question isn't whether to adopt AI, but how to do it in a way that amplifies the credit union difference. As JPMorgan's move shows, the future of finance is AI-enhanced—and that future is arriving faster than many might have expected.
About AviaryAI
AviaryAI is the next evolution of financial interaction. Enhance your team with proactive outbound voice agents to welcome new members, encourage credit card activations, and drive non-interest revenue.
