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AI 인사이트

AI에 대한 신뢰도를 높이고 조직 전반에 걸쳐 기하급수적 가치를 창출하며 인류에게 긍정적 효과를 선사할 수 있는 방안을 제시하는 EY의 글로벌 인사이트를 살펴보십시오.

 

 

전 세계 EY 임직원들이 참여해 AI 기술로 구현됐습니다.

최신 인사이트

전 세계적인 AI 규제 동향을 탐색하는 방법

2023년 09월 27일
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최신 인사이트

인공지능이 사람 중심의 방식으로 인력을 증강하는 방법

2023년 10월 09일
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How the human-centric GenAI journey drives trust

16 Jan 2024 | Featuring Julie Boland

Read more on LinkedIn

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Davos 2024: 5 business leaders on adopting AI and managing associated risks

15 Jan 2024 | Featuring Carmine Di Sibio

Read more on World Economic Forum

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Navigating the AI revolution in 2024: Building trust through innovation and responsibility

15 Jan 2024 | Featuring Julie Teigland

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How advanced technology could make tax controversies easier to avoid

04 Jan 2024 | Featuring Marna Ricker 

Read more on World Economic Forum

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How CIOs can foster a top-down approach to AI

01 Nov 2023 | Featuring Dan Diasio 

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AI can help you ask better questions — and solve bigger problems

26 May 2023 | Featuring Nicola Morini Bianzino

Read more on HBR (paywall)

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How Generative AI could disrupt creative work                          

13 Apr 2023 | Featuring Nicola Morini Bianzino

Read more on HBR (paywall)

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Three questions every board should ask about generative AI     

5 Apr 2023  | Carmine Di Sibio

Read more on Milken Institute

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How to choose the right Chief AI Officer

30 Jan 2023 | Rodrigo Madanes

Read more on VentureBeat

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ChatGPT's killer enterprise use case will be managing knowledge, says EY CTO

23 Jan 2023 | Featuring Nicola Morini Bianzino

Read more on VentureBeat

 

Confident and responsible use of AI depends on sound public policy. EY engages with our global stakeholders to inform the development of AI policies that promote transparency, serve the public interest, foster trust in markets and build a better working world.
Building the foundations for trusted artificial intelligence in the UK

Response to government white paper: a pro-innovation approach to AI regulation

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Adapting the UK's pro-innovation approach to AI regulation for foundation models

Ten recommendations for UK policymakers to strengthen proposed regulatory approaches

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Developing a US artificial intelligence accountability ecosystem

AI accountability policy response to the US National Telecommunications and Information Administration

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Safe and responsible AI in Australia

Considerations for developing a robust governance framework based on ethical principles

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G7 guiding principles for organizations developing advanced artificial intelligence

Establishing guardrails on advanced global artificial intelligence systems

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Frameworks for artificial intelligence in South Australia

Establishing effective state and federal frameworks for ethical artificial intelligence use

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Case study: Data automation

How a Nordic insurance company automated claims processing

Our team provided a solution that did more than just digitize and organize unstructured data. It combined EY business insights and industry knowledge within a strategic technology ecosystem to help modernize the insurer's operations.
Fredrik Andren, EY Nordics Financial Services Insurance Consulting Leader
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Case study: Vendor management

How AI helped a major IT company to improve its vendor interaction experience

We help businesses build their own automation capabilities to improve governance, reduce costs and help create long-term value. EY Fabric AI Space helped our client resolve vendor queries nonstop, resulting in a manual effort reduction and enhanced vendor experience.
Vijay Shankar, EY India Automation and Artificial Intelligence Leader; Partner, Business Consulting, Ernst & Young LLP
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Case study: Life sciences

How a global biopharma became a leader in ethical AI

EY teams could work with us on how a Responsible AI assessment should look, meshing what we were doing with their global Responsible AI framework and working their magic to join the dots.
Head of AI Research & Development, Biopharma company
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Case study: Banking

Using AI to improve a bank’s agent effectiveness

By addressing the quality issues inherent in conversations recorded by legacy systems and over-reliance on keywords, we were able to identify very subtle signals with a very high level of accuracy.
Sameer Gupta, EY North America Financial Services Organization Advanced Analytics Leader
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