AI 기반 비즈니스 의사 결정: 인간의 역량 강화

### AI를 통한 비즈니스 역량 강화: 의사 결정의 미래
* 🌦 기업은 시시각각 상황이 크게 달라진다는 점을 인식하고 **기상 조건이나 주요 이벤트 등 다양한 시나리오에 맞춰 전략을 조정**하여 고객에게 더 나은 서비스를 제공해야 합니다.
* 🤖 인간과 AI의 상호 작용은 **인간이 기계를 코치하여 기계의 능력과 의사 결정 과정을 향상**시킴으로써 신뢰를 구축합니다.
* 📈 프라탑 라네이드가 이끄는 Arena AI는 유연하지 않은 프로세스에 의존하는 대신 **미세한 결정과 지속적인 조정**을 통해 비즈니스 운영에 혁신을 일으키고 있습니다.
* 🚀 AI 기반 의사 결정을 구현함으로써 기업은 **가격 전략을 최적화**하고 시장 변화에 동적으로 대응하여 종종 차선의 결과를 낳는 기존 방식을 뛰어넘을 수 있습니다.
* ✈ 조종사의 의도에 따라 반응성이 뛰어난 비행 컴퓨터가 조종하는 F-22 전투기와 유사하게, 기업은 **AI를 활용하여 민첩성과 정밀성을 향상시키는 수천 가지의 작은 조정**을 수행할 수 있습니다.
* 💡 "인간을 대체하는 것이 아니라 인간을 증강하는 것"이라며 **인간이 AI 시스템에 대한 통제권과 신뢰**를 유지해야 한다고 강조합니다.
* 💵 AI 공동 파일럿을 통해 기업은 추측에서 데이터 기반 의사 결정으로 전환하여 **최적화된 가격 책정 및 개인화된 고객 상호 작용**을 통해 **수십억 달러의 잠재적 수익**을 창출할 수 있습니다.
* 🔗 비즈니스 환경이 계속 진화함에 따라 **AI를 도입하면 개인과 조직 모두 정보에 기반한 의사결정을 내릴 수 있게** 되어 성공을 이끌 수 있습니다.

Arena AI는 기업이 정확한 실시간 의사 결정을 내릴 수 있도록 지원하여 인간의 능력을 사이보그와 같은 강력한 파트너십으로 전환합니다.

- We're on the cusp of something big. Artificial intelligence is entering every place where there's a decision, often one done on autopilot, and turning it into the optimal one done with an AI co-pilot. Today I'm sitting down with Pratap Ranade, CEO and co-founder of Arena, and he's gonna show us one way all pricing will go from the domain of a person taking wild guesses in a spreadsheet or using a clipboard into one that is driven by instant optimization and having an always-on AI means billions of dollars in extra revenue for some of the biggest companies in the world. Let's get started. (upbeat music) (mellow music) Most people seem to think about business processes, you know like pricing, the way they wanna make a home-baked chicken at home, like in that old infomercial. - He had his rotisserie oven and he said, Set it and forget it. - Set it and forget it.

- But business is not a rotisserie chicken and shouldn't be run like a mechanical process where there's no room for decisions. Back in the '80s, Toyota came along and showed us what you could do by making a vastly better car, pushing decision-making into the people who actually do the work. They called this at the time the Toyota production system. In 1986, Toyota became the first import automaker to sell more than one million cars in the US in a single year. Kaizen or continuous improvement made Toyota one of the world's highest quality manufacturers. Today we're hanging out with Pratap Ranade, CEO and co-founder of Arena AI, a company funded by Initialized, and he's also a YC alum I've known for almost a decade. Pratap's company has found a way to make massive improvements in business. Think double-digit percentage growth, not just a percent here and there.

These changes are so significant. I think they have the ability to change the trajectory of entire industries. - We focus a lot on the few decisions that we do make or we can make at a high level and try and get the perfect answer, the perfect decision. And I think your Toyota point is spot on, which is instead, what if you could have autonomy and agency to make millions of little micro decisions, precision adjustments? You don't know what's happening, but you can adjust when the assembly line stops? And I think that hasn't made its way out to a lot of other industries. (mellow music) - So how does it work? Here's Pratap showing what his software actually does, enabling micro decisions and precise adjustments to make those decisions happen continuously. - With pricing, for example, what you might do is say, I'm gonna run a 50% off on Black Friday. That's a consumer example, as you said.

So that's basically the fixed point for everybody. But instead, Gary right now might actually not care about that. Maybe it's actually he's considering subscription and a discount on a subscription purchase is the right thing for Gary. Could be an entirely different setup where you could say, Great, I wanna have a bundle offer. I wanna have loyalty points. And so what happens is you have this incredibly wide action space of possible decisions, and because of our own human cognitive capacity, we only make a subset of them. - Building great software is about empowering humans to be cyborgs instead of brainless robots in a black box. Pricing is just one of the most profitable examples of a decision that is normally poorly optimized and made by humans. Pratap and I met at YC as he was going through the program and I was a partner there. He sold that startup to Palantir, which is where I got my startup start too in 2006.

as employee number 10. One of the things we used to talk about at Palantir all the time is everyone wants a button that you can press that would just make you money, that would just make you a decision. And the reality is that's not possible, nor should you want it, because it gets rid of the human intelligence part of the equation. In contrast, what Arena's doing is actually extending human capability, turning people into cyborgs. - It's so much about human augmentation versus sort of human replacement. If you're gonna be a cyborg, you need to control your cyborg suit or your Ironman suit and then you need to trust that it's going to do what it's done. And especially for something like this, it's so new, why would you trust it? And so a lot of the attention that we've put into building our products is to solve those two problems of control and trust. You could give as much or as little agency

to the machine as you want. So, I could just turn on discounts and say, All you can do is move discount between 50% and 70% off, or I could turn on discounts and bundles, let it time when they're going out, let it time how long the offer is, let it adjust in. I could give it as much or as little. So, that's the control piece. But then the second piece is you're handing over a set of decisions that maybe you weren't making before or were kind of getting made implicitly to a machine. So, how is it making decisions? And a huge part of this is understanding that. Well, what happens if, you know, we have a prediction the consumer's going to buy my product at that discount? What if they don't? So, what if they don't? Like, you want to see, what are you gonna do? You want some sort of trust that in an environment that's changing and dynamic,

how is your machine gonna respond? It's not enough in the business world to have something that will work only when things are on rails because, as we know, just living life, life goes off the rails all the time. (mellow music) - The F-22 is arguably the most advanced fighter jet in the world, but it can't be flown by a human without assistance due to its very design. It's so unstable that a flight computer must make 1,000 flight corrections per second to keep it in the air. There's still a pilot, but in many ways, the pilot tells the plane her intent for where to go or what to do versus exactly how to fly. - When you think about even the fighter jet example, you still have a pilot that's sending the intent of where they want to go. You have a flight computer that's making all the little decisions. They're extremely maneuverable, they're really agile,

and oftentimes the flight computer is actually making thousands of little flight corrections per second. So when you sort of joystick left, you're kind of sending the intent that you want to go left, but the little decisions required to implement it, they're autonomous. - The most powerful thing about running a company like an F-22 fighter jet is the ability to dive down to a specific customer and offer a hyper-personalized decision tree for every single customer. - That's the beauty of this, is at the top level, you get a summary. You see, oh, overall, like, what's my strategy? You can see I'm using, you know, quite a few just very shallow discounts, quite a few heavy discounts, not much in the middle, tend to dial down my heavy discounts over time. But then I think the beauty is really like, what is the right answer for each customer at each moment in time?

Recognizing that moments in time are different. It's not just, you know, tomorrow. It's tomorrow with heavy rain, or it's tomorrow and it's bright and sunny, or it's tomorrow and there's a really big game, and those are completely different situations. And you really want to get that feeling of a few different customers. And humans are so good at this, we're so good at that common sense, and it creates this really wonderful interplay with the human and the AI where, A, human starts to trust the machine, B, the machine gets better because it's being coached by a person. - The cool thing is this kind of thing has already been happening with AI across the board. GitHub Copilot has already been a literal co-programmer for legends like Karpathy. Here's a recent tweet where he says, I don't even really code. I prompt and I edit. Can you imagine this kind of technology fully realized

In every business and every business decision, a co-pilot that can be everywhere you can't? Arena's working on this. So, if you need this in your business, you can reach them at arena-ai.com. You can also follow Pratap on Twitter. Link in the description. He's an absolute expert and leader in this space. The future is so bright for software, especially one that extends human capabilities and turns us not into robots, but into cyborgs. Today was about highlighting one leader in the field, bringing groundbreaking techniques to businesses that could normally never get it. And literally, that's what an enterprise startup in the space is. This is all inevitable, but especially when building great enterprise software that works, it just happens a decade earlier. I can't wait to see what you build. I'll see you next week. (upbeat music) (upbeat music continues)

Applied AI for Pricing: You can’t be everywhere but your AI co-pilot can

Hi, I'm Garry Tan —I'm President & CEO of Y Combinator. I'm a designer, engineer, and investor in early stage startups. Previously Founder & Managing Partner of Initialized Capital, an early stage venture capital fund that was earliest in Coinbase and Instacart. 

Before that, I was a a partner at Y Combinator. Invested in and directly worked with over 700 companies the earliest possible stage, often just an idea. I cofounded Posterous and helped build it to a world-class website used by millions. (Acquired by Twitter) I also helped build the engineering team for Palantir Technology's quant finance analysis platform, and designed the current Palantir logo and wordmark.

I love building things. Forbes Midas List 2019 through 2022 🚀

Garry Tan

AI가 비즈니스 가격에 미치는 영향

인공지능은 즉각적인 최적화와 AI 공동 파일럿을 제공함으로써 특히 가격 책정 등 의사 결정 프로세스를 혁신하고 있습니다.

이러한 변화는 주요 기업들에게 수십억 달러의 추가 수익을 창출할 수 있는 잠재력을 가지고 있습니다.

인간의 인지적 한계와 더불어 가격 결정에 있어 가능한 결정의 범위가 넓어지면서 더 나은 의사 결정을 내릴 수 있는 AI의 필요성이 강조되고 있습니다.

산업에서 미시적 의사 결정의 힘

미세한 결정과 정밀한 조정은 전체 산업에 큰 영향을 미칠 수 있으며, 의사 결정의 자율성과 자율성을 제공합니다.

프라탑의 소프트웨어는 예측할 수 없는 상황에 대응하는 데 필수적인 지속적인 미세 조정을 가능하게 합니다.

F-22 전투기의 설계는 조종사가 방향에 대한 의도를 제공하는 동안 비행 컴퓨터가 신속하게 수정하는 것의 중요성을 보여주며 이러한 협업적 접근 방식의 효과를 강조합니다.

비즈니스의 초개인화 및 인간 증강

비행 컴퓨터의 자율 수정 기능은 기업의 각 고객에 대한 초개인화된 의사 결정 방식을 반영합니다.

최상위 요약은 전략에 대한 개요를 제공하며, 각 고객에게 적절한 순간에 올바른 답을 제공하는 데 중점을 둡니다.

Arena의 접근 방식은 인간 증강과 신뢰를 강조하며 인간의 능력을 대체하는 것이 아니라 확장하는 것을 목표로 합니다.

의사 결정에서 인간과 AI의 상호 작용

AI는 다양한 순간의 뉘앙스를 인식하여 인간과 기계 간의 더 나은 상호작용을 이끌어내고 있습니다.

이러한 협업은 신뢰를 구축하고 인간의 코칭을 통해 AI의 성능을 향상시킵니다.

이 기술을 통해 할인 및 번들 조정과 같은 의사 결정을 유연하게 제어할 수 있으며, 잠재적인 결과에 대한 인사이트를 제공하고 역동적인 환경에서 신뢰를 구축할 수 있습니다.

아레나 AI: 비즈니스 의사 결정의 혁신

Arena AI는 인간의 역량을 확장하고 상당한 성장을 촉진하는 것을 목표로 기업을 위한 부조종사를 제공하기 위해 노력하고 있습니다.

CEO이자 공동 설립자인 프라탑 라나데는 이 분야에서 10년의 경력을 쌓았으며, 기업의 두 자릿수 성장률 개선에 주력하고 있습니다.

이 회사의 접근 방식은 도요타의 생산 시스템에서 영감을 받아 풀뿌리 수준에서의 의사결정을 강조하여 더 큰 영향력을 발휘할 수 있도록 합니다.