cover of episode #57 Why Your C-Suite Needs to Embrace AI for Customer Success

#57 Why Your C-Suite Needs to Embrace AI for Customer Success

2024/11/20
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Experts of Experience

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Jonathan Murray
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Lauren Wood
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Jonathan Murray: 本期节目探讨了AI在提升客户体验方面的巨大潜力,同时也指出了企业在AI应用过程中面临的挑战,例如数据质量、治理框架的建立、员工的适应性等。他强调,高质量的数据是AI应用的基础,企业需要建立完善的数据基础设施,并制定清晰的AI治理原则,以确保AI的安全性、有效性和合规性。他还指出,企业领导层需要充分理解AI技术,并积极推动AI在企业内部的应用。在客户体验方面,AI可以帮助企业实现更个性化的服务,并建立更紧密的客户关系。但同时,企业也需要关注AI可能带来的风险,例如‘幻觉’问题,并采取相应的措施进行风险管理。此外,他还强调了员工体验的重要性,指出企业需要重视员工在数字化转型过程中的感受,并积极帮助员工适应新的工作方式。 Lauren Wood: 本期节目与Jonathan Murray围绕AI在客户成功中的应用展开讨论,重点关注AI如何提升客户体验和企业如何应对AI应用中的挑战。Lauren Wood 提出了一些关键问题,例如企业对AI的抵触情绪、AI带来的风险以及如何建立有效的AI治理框架等。她还与Jonathan Murray探讨了如何利用AI收集客户数据,并将其用于个性化服务和目标营销。此外,他们还讨论了在AI应用过程中如何平衡客户体验和员工体验,以及如何确保企业领导层对AI技术的理解和支持。

Deep Dive

Key Insights

Why do organizations often resist new technologies like AI?

Organizations often resist new technologies due to fear and uncertainty. They question how these technologies will impact their business, markets, and customer expectations. They also worry about the required investment, new skill sets, and balancing risks with returns.

How can AI enhance customer interactions?

AI can enhance customer interactions through conversational experiences, moving from structured web pages or search to more natural language interactions. This richer dialogue allows for better data collection and more personalized, one-to-one experiences.

Why is a solid data foundation crucial for AI initiatives?

A solid data foundation is crucial because AI relies on well-organized and curated data. Without clean, complete, and connected data, AI systems can produce inaccurate or biased results, leading to poor customer experiences and reputational risks.

What role does governance play in AI implementation?

Governance in AI implementation ensures that the technology is used safely and ethically. It involves establishing principles and rules to manage risks, ensure explainability, and eliminate bias. Effective governance requires commitment from the highest levels of the organization.

How can companies mitigate the risk of AI hallucinations?

Companies can mitigate AI hallucination risks by ensuring their data is well-organized and curated. Combining AI with other technologies like graph technology can also help constrain the AI and prevent it from producing incorrect outputs.

Why is it important for CEOs to understand customer needs?

CEOs need to understand customer needs because the business exists to serve customers. Without this understanding, CEOs cannot ensure they are building the right products, making the right investments, and prioritizing the right strategic outcomes.

How can AI be used to improve customer experience?

AI can improve customer experience by enabling more personalized and conversational interactions. It can also help gather and analyze customer data to provide better service and product recommendations, creating a more seamless and engaging experience.

What challenges do companies face in connecting their data systems?

Companies face challenges in connecting their data systems due to legacy technology environments that were not built to be integrated. They also struggle with lack of strategic prioritization and commitment from the C-suite, which is necessary for aligning data infrastructure with business objectives.

Why is change management important in digital transformations?

Change management is crucial because it ensures that employees are engaged, informed, and supported throughout the transformation process. Without effective change management, resistance from employees can slow or even halt the transformation, wasting investment and effort.

How can companies ensure they are building the right future for their customers?

Companies should balance addressing current customer needs with envisioning future possibilities. They need to listen to customers to understand their current issues while also guiding them towards innovative solutions that align with the company's vision for the future.

Chapters
Organizations face resistance to AI adoption due to fear, uncertainty, and a lack of understanding. This chapter discusses the common questions and concerns leaders have about AI and how to address them.
  • AI adoption faces similar resistance as past technological waves.
  • Leaders are concerned about AI's impact on business, markets, and customer expectations.
  • Balancing investment, return, and risk is crucial for successful AI integration.

Shownotes Transcript

Want to navigate the complexities of digital transformation successfully? In this episode, Jonathan Murray, the Chief Strategy Officer at Mod Op and co-author of Getting Digital Done), outlines a step-by-step approach to integrating AI into your customer experience strategy. He explains how to build a solid data foundation and establish governance principles that will set your organization up for success. Plus, Jonathan and Lauren discuss the disconnect between leadership and customer needs, and how to bridge that gap using data-driven insights.

Tune in to learn:

  • Why organizations often resist new technologies due to fear and uncertainty
  • How AI can enhance customer interactions through conversational experiences
  • How AI can help rehumanize business interactions with customers
  • Why organizations must have the right data infrastructure to leverage AI
  • Why employee experience must be prioritized to ensure successful transformations

How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit* salesforce.com/products/data*)* to learn more.*

 

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