Venture Beat가 전한 소식이다.
현재 우리는 스마트폰, 스마트 자동차, 심지어 스마트 시티를 함께하고 있다. 날이 갈수록 똑똑해지지 않는 것은 굉장히 적어지고 있다.
- 지속적인 가용성
- 모든 수준의 직원 권한 부여
- 조직 내외부의 협업
- 사용자 중심 도구 및 서비스 배포
- 차세대 네트워크, 운영 및 프로세스를 통한 혁신 개선
- 새로운 차원의 생산성과 창의성
- 프로세스와 관행 모두에서 신속한 디지털 혁신을 지원
이러한 변화가 AI에만 의존하는 것은 아니지만, 주도적인 역할을 할 것이라고 봐도 과언이 아니다. 더 많은 작업이 자동화됨에 따라 기업은 부분적으로 쉽게 자동화할 수 없는 핵심 작업에 인적 자본을 집중함으로써 디지털 경제의 요구에 더 잘 대응하게 된다.
We have smartphones, smart cars, even smart cities. In fact, there aren’t many things left that aren’t becoming smarter by the day.
But what about smart enterprises? With digital transformation well underway and artificial intelligence quickly making its way into the IT stack – in part to support smartphones, smart cars, and smart cities – how can we expect the enterprise itself to become smarter? And will we even be able to pinpoint the moment in which it becomes smart?
Clearly, smartness is more than a mission statement or press release touting things like data science and intelligent analytics. As tech consultancy Plekton Labs noted recently, a smart enterprise is defined more by the way it uses these and other technologies, both strategically and operationally. To be considered smart, the enterprise will have to display a range of capabilities that it doesn’t have now, or at least cannot leverage to make an appreciable impact on the business model. These include the following:
- Continuous availability
- Employee empowerment at all levels
- Collaboration inside and outside the organization
- Deployment of user-centric tools and services
- Improved innovation through next-gen networks, operations, and processes
- New levels of productivity and creativity
- Support for rapid digital transformation in both processes and practices.
While this transformation doesn’t depend solely on AI, it’s fair to say that it will play a leading role. As more tasks become automated, the enterprise becomes more responsive to the demands of a digital economy, in part by focusing its human capital on key tasks that cannot be automated so easily.
But as Kumar Singh, research director at SAPInsider, notes, it’s not like a day will come when an enterprise becomes smart at the flip of a switch. Instead, we’ll see gradual steps in maturity as organizations embrace these new capabilities.
A freshmen enterprise, for example, is still charting out the potential for intelligent operations and data-driven decision-making to alter the business model. Meanwhile, sophomores are starting to implement cultural changes to create new processes and streamline operations, while juniors are taking this to the next level by focusing on the creation of new revenue streams and business models. Finally, senior organizations have converted their operations to rapid, iterative experimentation with an eye toward building customized AI toolchains and developing in-house talent around the new data ecosystem.
As with people, however, smart is a relative term. More than likely, organizations will become very smart at some things and not so smart at others. And no matter how smart you become, there are always ways to become smarter.
Ultimately, the smartest enterprises will be those that recognize how much they have to learn.