Insights from the NYSE Trading Floor
A few weeks ago, our Co-founder and President, Amir Haramaty, joined global leaders and founders at the iconic NYSE International Day. Speaking live from the Trading Floor, Amir didn’t just discuss AI trends; he focused on the brutal truth holding back enterprise transformation: The Data Problem.
Here is the essential breakdown of how aiOla is turning unstructured frontline speech into the structured, actionable data that fuels the future of AI.
Watch the Full Interview Live from the Trading Floor
Amir Haramaty joins Kristen Scholer to discuss the ROI reality check for enterprise AI, why the keyboard is obsolete, and the multi-trillion dollar opportunity in agent-driven workflows.
1. The Harsh Reality: Why 95% of Enterprise AI Pilots Fail
The sheer hype surrounding AI often overshadows a harsh reality: The vast majority of AI projects fail to deliver measurable ROI.
As Amir noted in the interview, referencing key industry research:
“MIT released research that showed that 95% of AI pilots and enterprises fail to show value in ROI.”
The problem isn’t the AI tools themselves – they are amazing. The problem is the data foundation they rely on. You can’t achieve ROI if your most critical data, generated by two billion frontline workers, remains locked behind manual processes, clipboards, and uncaptured voice interactions.
As a “serial problem solver,” Amir’s focus is clear: to solve the real problems that move the needle and make an impact. The biggest problem right now? Data.
2. The Data Problem is the Voice Solution: The End of the Keyboard
If data is the bottleneck, speed is the key. Why does voice solve this problem better than any other interface?
Simply put: it’s the fastest and most natural form of communication.
“Speech or voice by far is the fastest way to get information. It’s three times faster than anything else. You’re actually capturing 3x amount of data in one-third of the time.”
The goal is to eliminate punching buttons and typing – processes that are painfully slow and prone to human error – and replace them with natural speech. The biggest companies in the world are finally realizing that reliable voice capture is the most direct way to get data into their systems.
3. Beyond ASR: Solving the ‘Turkish German’ Challenge
The concept of voice input is clear, but implementation is incredibly complicated. Generic voice-to-text (ASR) tools stumble the moment they hit the real-world frontline.
Why do generic models fail where the stakes are highest?
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Acoustic Chaos: Background noise in factories, airports, and warehouses.
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Accents & Languages: Global teams speak in dialects, code-switch, and mix languages.
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Jargon: The vocabulary used by a maintenance crew is completely different from a logistics coordinator.
Amir shared a striking example: working with a client in a German airport, a standard language model failed completely. The reason?
“Turns out most of the users are Turks immigrants that speak Turkish German—a language that doesn’t exist.”
aiOla’s patented approach was built to overcome this. We don’t just transcribe; we separate the signal from the noise and use proprietary technology to understand jargon and gibberish. For us, language is just a carrier for the data.
4. Speech-to-Workflow: Where the ROI Lives
The final hurdle is transforming that accurate transcription into immediate, structured action. The goal is not Speech-to-Text; it’s Speech-to-Schema and Speech-to-Workflow.
This is where the massive, measurable ROI is generated:
| Industry | The Challenge Solved | The Impact |
| Car Rental | Eliminating manual triage and data entry for returned vehicles. | $2 Million Annual Benefit per Site. ROI recognized in less than three months. |
| Grocery Retail | Performing critical daily temperature checks in refrigerators (a 2% margin industry). | 110,000 Staff Hours Saved. Direct line of sight to EBITDA. |
| Jewelry Manufacturing | Time needed for QA inspection reporting in Mandarin. | Process time reduced from 180 seconds to less than 30 seconds. |
This is the reality check for enterprise AI: showing 5x ROI in margin-sensitive industries proves that our voice-agentic approach solves the data problem fundamentally.
5. Fueling the AI Agent Future: The Next Big Leap
Referencing NVIDIA CEO Jensen Huang, Amir confirmed the prevailing view on the future:
“AI agents are going to be a multi-trillion dollar opportunity. And he’s absolutely right, the biggest opportunity ever in history.”
But even the smartest AI agents are limited by the quality of the data they receive. aiOla’s role is to ensure that agents have the highest quality, real-time, structured data from the industrial frontline.
By solving the fundamental challenges of language, jargon, and acoustic chaos, we are providing the raw material that will drive this multi-trillion dollar agent revolution.
Ready to Gain a Competitive Edge Built on Speed and Data?
The shift from manual, error-prone workflows to agile, voice-driven Agentic Workflows is the defining moment for enterprise efficiency.
If you’re ready to see how aiOla can deliver direct ROI by transforming your frontline data capture, Book a Demo with our team today.
