Artificial intelligence (AI) may not Mysterious As People Think — But It’s a Fact popularized.
i2c CEO and Chairman Amir Wayne told PYMNTS that what generative AI capabilities have brought to predictive AI and machine learning (ML) capabilities “brings another level of abstraction.”
“The power of good technology is its ability to hide all the complexity and simplify the user’s interface,” Wayne said, adding that as generative AI becomes more commercial, this “simplification” will make it easier to implement the technology. stressed that it would be easier more efficient. “
While AI tools are now advancing in days or weeks, there is a long history of experimentation, research, and investment behind the flywheel effect of generative AI suddenly being integrated everywhere.
It is at a tipping point where tools can be seamlessly integrated, similar to the modern digital landscape.
“This didn’t happen overnight,” Wayne said. “A lot of research has been done on AI, and the product is now at the stage where it can be commercially deployed in various applications.”
Still Mr. Wayne cautioned against rushing ahead at full speed, embrace new technology Especially for financial services businesses.
“Because the quality is good, [and regulatory] As long as it meets the requirements, the financial services sector should use an augmented AI approach,” he said.
Get Research Results: Preparing for a generative AI world
A fundamental shift in how we activate information
Generative AI is already revolutionizing the way end users access, activate, and interact with data-rich environments.
Wayne focuses on specific areas where technology can improve efficiency and accelerate process optimization beyond historical limits.
“Compliance is the sweet spot,” he said. “It is difficult to guarantee 100% compliance.” [within financial services]However, by leveraging generative AI capabilities, businesses can reduce the cost of ensuring compliance and improve the quality of compliance. ”
He cites i2c’s customer contact center, where complaints and disputes are regulated.
By leveraging future-proof AI solutions such as natural language processing (NLP) tools, his company can handle millions of phone calls without manually parsing vast amounts of data, and Problem areas can now be identified in real time.
Still, there are always people involved who are responsible for quality control and ensuring processes are compliant, he said. Because if bad data became the source of his AI responses, it could propagate further by serving as the information basis for his AI responses in the future.
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Enhance, not replace, human achievements
like PYMNTS does reportis at the heart of many companies, complicating the situation for companies looking to gain an innovative edge. Concerns about business use When it comes to integrating innovative generative AI solutions, ongoing questions lie about the integrity of the data and information fed into AI models, and the provenance and security of those data inputs.
“There is a demand for new skill sets,” says Wayne. “If you let two people or three of hers ask the same question to her ChatGPT, they might get different answers depending on the nuance of the question.”
Just as novice users of Excel often take “17 steps” to get to their destination, advanced users familiar with the program’s macros can accomplish the task in seconds, so the possibilities of AI tools are endless. To get the most out of , he explained, you need a similar understanding. Delicacy of technology.
“If not the skill set, then at least we should understand that people need to understand how best to get AI to get the right answer,” Wayne said.
He said AI is already providing out-of-the-box advances across fraud detection and prevention, customer acquisition and retention, and real-time personalization of experiences.
“We want to make sure that it’s cost effective, that we can add more value to the product, and that ultimately AI integration is still useful,” says Wain.
He also noted the tendency of generative AI to “hallucinate,” or provide fabricated results, as a particularly problematic area for financial services firms.
“Based on quality standards and compliance requirements in financial services, we need to be careful how we use this technology in a compliant manner,” he said. “You can’t be on the cutting edge of technology dealing with people’s money and funds…you have to put a compliant framework around your tools.”
As with all emerging technologies, Wayne said it’s important to “keep rogue users from harming the technology” and for companies to stay ahead of the risks.
Still, the next decade is shaping up to be “very exciting,” he said.
