### 제너레이티브 AI 도입: 직원 역량 강화 및 효율성 향상

### 직장에서의 놀라운 제너레이티브 AI 도입 사례
* 🚀 "작년에는 회사 내에서 아무도 제너레이티브 AI를 사용하지 않았고, 사실 **필요한 인프라와 거버넌스를 구축할 때까지는 사용이 금지**되어 있었습니다."
* 🔧 L Am Suite 플랫폼의 구현은 **여러 AI 모델에 액세스**할 수 있고 직원들에게 **통합된 인터페이스**를 제공함으로써 업계의 판도를 바꾸어 놓았습니다.
* 💻 이러한 접근 방식은 회사가 **단일 모델 제공업체에 종속되지 않도록** 하여 AI 사용의 유연성과 적응력을 제공합니다.
* 💰 구독 모델을 사용하는 경쟁사와 달리 **실제 기술 사용량에 따라 요금을 부과**하기 때문에 직원들에게 더 정당한 비용을 청구할 수 있습니다.
* 👥 제너레이티브 AI가 출시되면서 **20만 명의 직원이 액세스 권한**을 얻었고, 팀들이 이 기술을 가장 먼저 도입하기 위해 노력하는 경쟁적인 분위기가 조성되었습니다.
* 💡 매일 기술을 활용하는 사람이 최고의 아이디어를 창출할 것이라는 가설은 **직원들의 긍정적인 피드백**을 통해 입증되었습니다.
* ✉ "저는 매일 사람들이 플랫폼을 사용하여 일상 업무에서 실제로 효율성을 창출하는 방법을 알려주는 메모"를 받습니다."라며 이 이니셔티브의 성공을 강조합니다.

직원들은 혁신적인 효율성을 위해 제너레이티브 AI를 활용하여 일상 업무를 경쟁 우위로 전환합니다.

You've empowered basically most of your
employees to have their own research analysts that write by them.
In generative AI form, how is that adoption taking you by surprise?
Absolutely. So we when we thought about generative
AI and I think last year, if we if we go

back a year, we were at the point that
nobody within the firm was using generative.
In fact, they were prohibited from using generative AI because we needed to first
get the infrastructure in place, make sure that obviously we had the right
data protections and that we had the

right governance model around all of
this. And with that work done, we also took
the approach that when we started to roll out the technology, we created this
platform L Am Suite, which is basically an abstraction layer that provides the
ability for us to have access to

multiple models, and it also provides a
single place for the rest of the firm to plug into.
From an application standpoint, we didn't want to be beholden to any single
model provider, and we wanted to give people that flexibility.
The other advantage that it gives us is

it's not a subscription model.
And I think what we're hearing from some of our competitors is in a subscription
model where you're paying a per user per month cost If the usage or the immediate
benefits are not such that you can

justify the expense, it becomes a harder
proposition. So here you're paying basically for the
usage of whatever you're using the technology for.
That's what it's it's basically the consumption of the cloud resource.
And so we've been able to roll the

technology out to 200,000 people within
the organization. It's become actually a little bit of a
competitive sport within the firm. So if your group has it, my group has to
be the next one to be onboarded.

So that's been wonderful.
And the hypothesis was if you give people the technology, the people who
use it and do the jobs every day are the ones that will have the best ideas.
And that has absolutely been the experience that we've had.
We get notes.

The best part of my job, I get notes
every day from people telling me how they're using the platform to actually
create efficiencies within their day-to-day job.

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Bloomberg Technology

Initial Concerns and Infrastructure Development for Generative AI

Most employees empowered with research analysts using generative AI.

Initially, generative AI use was prohibited due to lacking infrastructure, data protection, and governance.

Developed L Am Suite platform for access to multiple models and data protection.

L Am Suite Platform Advantages and Deployment

Platform offers flexibility by not being tied to a single model provider.

Utilizes a usage-based, not subscription-based, payment model.

Successfully rolled out to 200,000 employees; becoming a competitive aspect within the firm.

Positive User Experience and Unexpected Outcomes

Employees using the technology daily have generated the best ideas for improvement.

Daily feedback from employees highlights increased efficiency in daily tasks.