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The banking landscape post-COVID-19 pandemic looks different, with some surveys showing upwards of 90% of consumers prefer managing their money in one place, online. The tech-forward banks are some clear winners in this race, particularly following the financial crises over the last two years.

Benzinga chatted with JPMorgan Chase & Co JPM Chief Product Officer Rohan Amin to learn more. Heres a lightly edited version of the conversation that transpired.

Q: Hello, Rohan! It is nice to meet you. Can you share with me your background?

Amin: I worked in the defense and intelligence community near the [Washington] D.C. metro area for over a decade. It was a fantastic experience that had nothing to do with financial services; instead, I was doing government work in information technology, cybersecurity, and electronic warfare.

In 2014, I received a call from JPMorgan Chase. This opportunity also allowed me to be closer to my family, and I took it. Since joining, Ive had three jobs. I was the Chief Information Security Officer responsible for the banks cybersecurity globally. I was the Chief Information Officer. And now, I am the Chief Product Officer accountable for product development, design, data, and analytics, including our AI and machine learning agendas.

Q: What does your day-to-day look like?

Amin: The best way to describe that is to talk about one of my peers, Gill Haus, the chief Information officer. He took the job I had in terms of running our technology.

Today, Gill and I copilot our customer-facing product development organization. Thats 17,000 product developers, engineers, designersand data and analytics people. We refer to them as the quad. They make up the roughly 100 teams that build all the experiences, such as the process by which customers open an account and our credit monitoring tools free to customers and non-customers. My day-to-day is strategy and working with the teams to birth new customer experiences.

Q: How do you balance innovation with security?

Amin: Job number one is the security and privacy of our customers' data. For example, we were the first bank to move away from screen scraping, not allowing third parties to scrape customer data, and to ensure people are using secure APIs and exposing that to the customer.

In other words, customers can turn things on and off regarding where their data gets shared. All our work on fraud and protecting customers against scams ensuring we have a well-run, well-controlled environment is job one.

Job two is to bring new value to customers, taking inspiration from all forms of competitors, including fintechs.

Most of our inspiration comes from our customers, though. We prefer that we have the best offering or one that best addresses customer needs. Sometimes, we are first, and sometimes we are not. That is fine.

An excellent example is our Chase Pay in 4? offerings, launched as our answer to buy now, pay later. Essentially, debit card customers can split purchases between $50and $400into four installments and pay no fees or interest.

Q: What trends have you observed?

Amin: We did our digital banking survey in 2023, and over 90% of survey respondents said they use the mobile app more than once monthly. We see more customers using mobile versus desktop web browsers. So, mobile adoption continues to rise.

Second, installment lending and digital payments continue to increase, and we have been bringing to market our offerings in those spaces as well.

We have 26 million active users of Zelle, and that number is growing.

Lastly, our personalization and credit monitoring tools, which allow customers and non-customers to get their credit scores and personalized plans for improving their scores, are seeing a lot of interest, particularly from the millennial generation.

Q: How are those trends, among other factors, influencing your product roadmap?

Amin: There are several factors that we respond to in real time. For instance, we had the pandemic, during which we had to pivot all of our plans to help small businesses pay their bills, employeesand other things they had to do.

Sometimes, macro situations may drive our roadmap. In other cases, its those trends we just talked about, including installment and point-of-sale lending. When we observe customers who want to use those payment solutions, we'll build in response to that.

We obsess over feedback, listening to calls, or reading input verbatim in our app. All those wants and needs get added to our product backlog. Our managers will synthesize all the feedback and set objectives that we will work into our apps, which are updated every two weeks.

Q: Say you have a customer thats experiencing an issue. How does their feedback flow to you or your teams? How quickly are those issues then resolved?

Amin: We have dashboards that retrieve customer feedback from places like the Apple App Store within minutes. Well mine that data to understand what the issues are.

Weve gotten so good at recognizing and addressing issues that if youre having a problem and you call, our automated interactive voice response (IVR) system will change the menu options to surface the thing you want. So, if we think you're having trouble with a payment, the first thing you'll hear when you call is making a payment.

Q: What excites you most as we head toward year-end and 2024?

Amin: Machine learning and artificial intelligence (AI) are hot topics. Were careful to explore, integrateand use these technologies to enhance our customer-facing products and services and some of our back-office operations. Fundamentally, AI and machine learning help us personalize the content surfacing to you so that your online and physical interactions at our branches, which 60% of customers use, are holistic and pleasant.

Photo: Tim Samuel via Pexels

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Chinese tech giant Baidu to release next-generation AI model this year as DeepSeek shakes up market

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Chinese tech giant Baidu to release next-generation AI model this year as DeepSeek shakes up market

Men interact with a Baidu AI robot near the company logo at its headquarters in Beijing, China April 23, 2021.

Florence Lo | Reuters

BEIJING — China’s Baidu plans to release the next generation of its artificial intelligence model in the second half of this year, according to a source familiar with the matter, as newer players such as DeepSeek disrupt the segment.

Ernie 5.0, called a “foundation model,” is set to have “big enhancements in multimodal capabilities,” the source said, without specifying its functions. “Multimodal” AI can process texts, videos, images and audio to combine them as well as convert them across categories — text to video and vice-versa, for instance.

Foundation models can understand language and perform a wide array of tasks including generating text and images, and communicating in natural language.

Baidu’s planned update comes as Chinese companies race to develop innovative AI models to compete with OpenAI and other U.S.-based companies. In late January, Hangzhou-based startup DeepSeek prompted a global tech stock sell-off with the release of its open-source AI model that impressed users with its reasoning capabilities and claims of undercutting OpenAI’s ChatGPT drastically on cost.

“We are living in an exciting time … The inference cost [of foundation models] basically can be reduced by more than 90% over 12 months,” Baidu CEO Robin Li said at the World Governments Summit in Dubai this week. That’s according to a press release of his fireside chat with Omar Sultan Al Olama, UAE’s minister of state for artificial intelligence, digital economy, and remote work applications.

“If you can reduce the cost by a certain percentage, then that means your productivity increases by that kind of percentage. I think that’s pretty much the nature of innovation,” Li noted.

Baidu was the first major Chinese tech company to roll out a ChatGPT-like chatbot called Ernie in March 2023. But despite initial momentum, the product has since been eclipsed by other Chinese AI chatbots from startups as well as large-tech companies such as Alibaba and ByteDance.

While Alibaba shares have soared 33% for the year so far, Baidu shares are up 6%. Tencent has notched gains of about 4% for the year so far. ByteDance is not listed.

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Baidu’s Ernie model already supports the integration of generative AI across a range of the company’s consumer and business-facing products, including cloud storage and content creation.

Last month, Baidu said its Wenku platform for creating presentations and other documents had reached 40 million paying users as of the end of 2024, up 60% from the end of 2023. Updated features, such as using AI to generate a presentation based on a company’s financial filing, started being rolled out to users in January.

The current version of the Ernie model is Generation 4, released in Oct. 2023. An upgraded “turbo” version Ernie 4.0 was released in August 2024. Baidu has not officially announced plans to release the next generation update.

The latest version of OpenAI’s ChatGPT, GPT-4o, was released in May 2024. OpenAI CEO Sam Altman said in a Reddit “ask me anything” session earlier this month that there wasn’t a public timeline for GPT-5’s release.

Baidu did not respond to a request for comment.

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