---
title: The Future of Enterprise Data & AI 2023
description: 100 Data, Analytics, and AI Leaders Reveal How Businesses are Unleashing the Power of Data and AI to Improve Performance
image: https://www.coriniumintelligence.com/hubfs/COR_WNS_SOCIAL_1200x628px_1.jpg
---

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# The Future of Enterprise Data & AI 2023

![COR_WNS_SOCIAL_1200x628px_1](https://www.coriniumintelligence.com/hs-fs/hubfs/COR_WNS_SOCIAL_1200x628px_1.jpg?width=857&height=448&name=COR_WNS_SOCIAL_1200x628px_1.jpg)

Corinium collaborated with [WNS Triange](https://www.wns.com/capabilities/analytics) to survey 100 data, analytics, and AI leaders from industries including **Manufacturing**, **Retail**, **Consumer Packaged Goods**, **Banking and Financial Services**,** Insurance**, and **Healthcare**. Of these, 40% were from The United States, 40% were from Europe, and 20% were from Asia Pacific. Respondents were selected from global enterprises with at least $500 million USD in annual revenues.

Participants in the research hold senior decision-making roles, such as **Chief Data Officers**, **Chief Data and Analytics Officers**, and **Heads of Data**, **Analytics**, **Innovation**, and **AI** in major international enterprises. Respondents answered 16 questions about how they are overcoming challenges related to managing their data to enable the success of advanced analytics and AI initiatives.

**Key Findings Include:**

- **- 47%** of respondents say that **security and privacy concerns** top the list of challenges in hosting or implementing generative AI
- **- 54%** of  respondents are implementing **phased integration** to bridge the gap between legacy systems and intelligence cloud and data systems
- **- 76%**  are either **planning or are currently involved **in generative AI projects
- **- 60%** of respondents say that the **integrity and quality of the data to be used in AI** and analytics initiatives is the most crucial aspect
- **- 57%** of respondents have **deployed data integration platforms **or tools to address issues related to siloed and fragmented data
- **- 72%** of respondents are extremely concerned about the **ethical implications of AI decision-making in their organizations**

![COR_WNS_SOCIAL_1200x628px_1](https://www.coriniumintelligence.com/hs-fs/hubfs/COR_WNS_SOCIAL_1200x628px_1.jpg?width=857&height=448&name=COR_WNS_SOCIAL_1200x628px_1.jpg)

Corinium collaborated with [WNS Triange](https://www.wns.com/capabilities/analytics) to survey 100 data, analytics, and AI leaders from industries including **Manufacturing**, **Retail**, **Consumer Packaged Goods**, **Banking and Financial Services**,** Insurance**, and **Healthcare**. Of these, 40% were from The United States, 40% were from Europe, and 20% were from Asia Pacific. Respondents were selected from global enterprises with at least $500 million USD in annual revenues.

Participants in the research hold senior decision-making roles, such as **Chief Data Officers**, **Chief Data and Analytics Officers**, and **Heads of Data**, **Analytics**, **Innovation**, and **AI** in major international enterprises. Respondents answered 16 questions about how they are overcoming challenges related to managing their data to enable the success of advanced analytics and AI initiatives.

**Key Findings Include:**

- **- 47%** of respondents say that **security and privacy concerns** top the list of challenges in hosting or implementing generative AI
- **- 54%** of  respondents are implementing **phased integration** to bridge the gap between legacy systems and intelligence cloud and data systems
- **- 76%**  are either **planning or are currently involved **in generative AI projects
- **- 60%** of respondents say that the **integrity and quality of the data to be used in AI** and analytics initiatives is the most crucial aspect
- **- 57%** of respondents have **deployed data integration platforms **or tools to address issues related to siloed and fragmented data
- **- 72%** of respondents are extremely concerned about the **ethical implications of AI decision-making in their organizations**

![WNS](https://www.coriniumintelligence.com/hs-fs/hubfs/WNS.png?width=2000&height=754&name=WNS.png "WNS")

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