### AI 구현: 도전 과제 극복 및 신뢰 구축

### AI 수용: 두려움 극복과 비즈니스 가치 창출
* 🚀 캐시 리스는 많은 조직이 완벽에 대한 열망 때문에 진전을 이루지 못한다고 강조하며, 이상적인 조건을 기다리는 대신 **"빠르게 움직이고, 가치를 확인하고, 반복하라"**고 촉구합니다.
* 📊 조직의 AI 준비 상태를 평가하는 데 도움을 주기 위해 **500개 이상의 질문**으로 구성된 AI 준비도 평가는 **데이터, 기술 스택, 인재 관리 등 다양한 요소**를 평가합니다.
* 🔍 조직의 성숙도는 다양하며, 어떤 조직은 **기술 지원이 더 필요**한 반면 어떤 조직은 성숙도 곡선을 따라 발전하기 위해 **인재 개발이 필요**합니다.
* 😨 AI에 대한 두려움은 종종 일자리 손실과 규정 준수 위험에 대한 우려에서 비롯되지만, 리스는 **AI가 새로운 일자리를 창출**하고 직원들이 일상적인 업무가 아닌 더 가치 있는 업무에 집중할 수 있게 해줄 것이라고 믿습니다.
* 💡 목표는 **AI 이니셔티브가 실질적인 비즈니스 가치와 연결**되도록 하고, 이러한 가치를 효과적으로 실현할 수 있는 사용 사례를 우선순위에 두는 것입니다.
* 🔄 Reese는 대규모 비즈니스 문제를 관리 가능한 부분으로 세분화하여 **처음에는 완벽하지 않더라도 조직이 솔루션을 실행에 옮길 것**을 권장합니다.
* 🤝 AI 도입에 있어 신뢰는 매우 중요하며, **성공 사례와 보안 조치에 대한 커뮤니케이션**은 조직 내 두려움을 완화하는 데 도움이 될 수 있습니다.
* ❤ 리스는 기술을 통해 비즈니스 과제를 해결하는 데 도움을 주는 신뢰할 수 있는 조언자 역할을 하며 **고객의 AI 여정을 안내**하는 데서 보람을 느낍니다.

캐시 리스는 조직이 AI의 비즈니스 가치를 실현하려면 완벽함보다 속도와 반복에 우선순위를 두어야 한다고 강조합니다.

(upbeat music) Cathy Reese: I see a lot of organizations who aren't making forward progress. They're doing a ton of work. They're doing a lot of proof-of-concepts. But they keep spinning their wheels because they want it to
be absolutely perfect.

Don't wait for it to meet every
single business requirement and meet every single need. Move quickly, see value, and iterate. (upbeat music) Every organization starts
at a different point. Some are less mature. Some are more mature.

We have an AI readiness assessment
that's over 500 questions that looks at data and technology stack, their change management, their skills. Some need a lot more help with talent, some need a lot more
help with the technology. We give them an overall rating
of kind of where they're at

and a roadmap of what they need
to do to move themselves up the maturity curve. All organizations have some sort of fear, whether that be from
a legal, risk, compliance standpoint. There's lots of doomsday
scenarios that people like to kind

of think about and talk about
every way it could go wrong, and a lot of people fear that
AI's gonna take their job. I think what people don't realize is that AI is gonna result in
the creation of net-new jobs,

and it's gonna allow them
to focus on higher value activities within the workflow. They're no longer stuck
doing the busy work that can be automated and done for them, and they can spend their time
doing higher value activities. We don't want people doing
AI for the sake of doing AI,

so we make sure that
there's a link to that. There's a link to business value, and the use cases are
prioritized in a way to be able to unlock that business value. Let's break down a big business
problem into small chunks,

get something into production,
and then iterate on that and add onto it. It doesn't have to be
100% perfect from day one in order to put it into production. I don't think there's
ever going to be a perfect moment to jump in.

People just need to get started. Every little win that you have, how you're keeping your AI
secure, all the protections that you're putting in place,
the more you communicate that throughout the organization, the more comfortable
people will be with it.

The trust is very essential. I love what I do. I love helping clients figure out where they're going on this journey. Sometimes they need a helpful hand and a trusted advisor
to help them get there. I like being part of the process

and I like really helping
them solve business problems with technology. (upbeat music)

Perfection Can Be The Enemy Of Progress | Business Insider

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Business Insider

Obstacles to AI Adoption and the Importance of Iteration

Many organizations struggle with AI implementation due to a pursuit of perfection, hindering progress.

The speaker advocates for rapid iteration, focusing on achieving value quickly rather than aiming for initial flawlessness.

An AI readiness assessment helps organizations understand their strengths and weaknesses in data, technology, change management, and skills.

Addressing Fears and Concerns Surrounding AI

Organizations often express concerns related to legal, risk, and compliance issues.

The speaker counters the fear of job displacement by emphasizing AI's potential to create new roles and free up human workers for higher-value tasks.

The importance of linking AI initiatives to business value and prioritizing use cases to unlock that value is stressed.

The speaker suggests breaking down large problems into smaller, manageable chunks and iteratively developing solutions.

Perfection is not a prerequisite for initial deployment; starting early and iterating is key.

Regular communication about security measures and protections builds trust and acceptance within the organization.

The Role of Trusted Advisors in AI Adoption

The speaker highlights the importance of trusted advisors to guide organizations through their AI journey.