The AI Summit New York 2019
December 11, 2019, New York, NY, United States
The AI Summit New York 2019
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Experts in AI: Andrei Papancea, CEO and co-founder, NLX
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About speakers

Andrei Papancea
Co-Founder and CEO at NLX Inc.
Max Smolaks
Editor at AI Business

Currently, I am focused on crafting AI-powered applications and building large scale systems using cloud technologies such as AWS. On occasion I engage in pro-bono work for non-profit organizations, such as a 3-month graphic design project for the United Nations. I have also taught workshops and given lectures on cloud computing at Columbia University.

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Hello, we're here at the Javits Center for the first day of AI Summit New York theater of AI business who's the co-founder and CEO of my lights to find out a little bit more about the business. And this is a new company in the company. I was actually the lead engineer at American Express who built the conversational platform. So I've seen one zero to millions of conversations look like the types of challenges that come with like scaling the technology and was not so with the hype and you know that they need for brother like conversationally I decided there was a

time that the main thing people need to know about your product as you can build Invitational experiences without any programming so why is it important in the modern world? That's correct. So it's it's important because if you don't have to program these experiences from scratch than similar to using a CMS for a website that allows you to them focus on the continent on the experience without having to look like spend a lot of money up front end development. And then like I'm going as we need to update the experiences. So

we look so serving power companies to deliver, you know, complex applications that they can take to Market very quickly in a very cost-efficient way to help with the fact that you don't have the skills necessary. You know, I thought at least not the actual likes her with a to wrangling on the AI level and customers to market for like a boss or a voice spot is actually pretty straightforward like the developers get excited about it. It's a cool little project to work. It seems like fairly intuitive to just build it but as you look at scaling and and integrating

it into all kinds of complex systems, it it becomes increasingly difficult comes in a makes. Everyone's life easier to talk than all the rest of it. How do you solve this problem, use than Alexa? We actually that that's what we provide the platform is integrated with a lot of different channels and we were at the new ones day by day. So DDS, we we do all that heavy lifting for you so you don't have to pick him again focus on your content of the experience. That's kind of that while we're at what we promote them when we push our customers

Siri produce. Prices like the fourth like a single point like Integrations was like Alexa with Amazon connect, which is like a smart size e r cycle technology. So and you never have to leave the analects platform to integrate with them witches super powerful TV application by voice and essentially our guests will be able to ask questions about the company and then they'll get the responses to both in an audio and visual format as well in your career. What was the most unusual application of speech AI that you have seen

a project for a media company and their use case was the first of its kind of the time that's at least I encountered and particularly they were trying to get access to their scheduling information. Media company so they have all kinds like networks and programs running 24/7 and Executives wanted to have an Alexa under that and be able to outside. Hey, when did Patton such TV show are last what's playing tonight at ATM? What are you know, what's the competition this playing tonight? Like a like a very

creative use of the technology that goes beyond just like the typical customer service use cases that 15 standardized on uncertain tables and you know, like it just like this is what we need to do you think do you think that's correct forms realistically, I think so and the reason for that is just like a natural progression of new technology getting to a level of maturity new technologies. Come around companies will drop jump head-first and you know try them out and I built it all themselves date, you know, a lot of companies like promote the in-house type of like filled out and on

till date they fail or they get to I hit, you know, something like natural roadblocks roadblocks the market will kind of be all over the place, but we're already seeing like signs of consolidation and there's no clear leader yet in the markets and we're we're we're up in the running for his own. Good luck.

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