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What happens when you combine razor-sharp data strategy with the art of storytelling? You get Scott Taylor—internationally known as The Data Whisperer. In this exclusive interview, Scott reveals the secrets behind turning complex data initiatives into compelling business narratives that win hearts, minds, and budgets. Whether you're a CDO, data leader, or just passionate about the business side of data, this conversation is packed with insight, wit, and practical tips. Learn how to:

• Tell your data story in a way business leaders actually care about
• Move from technical talk to strategic influence
• Spark engagement and get buy-in for your initiatives
• Use creativity - even humor - to make data unforgettable

Scott’s approach is as refreshing as it is effective, and this interview is your backstage pass.

Sierra set out to engage senior CX and digital leaders who are actively rethinking how AI can transform customer experience, not just incrementally, but holistically. Like many enterprise AI providers, their challenge was cutting through surface‑level event interactions to reach decision‑makers ready for meaningful transformation conversations.

This case study explores why the CX Exchange proved such a strong fit for Sierra's growth strategy, enabling structured, pre‑qualified 1‑to‑1 meetings with leaders responsible for CX transformation and digital strategy.

You'll learn how the curated environment, focused agenda, and intelligent matchmaking elevated conversations beyond introductions into practical discussions around AI use cases and real business challenges. Rather than broad awareness‑led conferences, Sierra used the Exchange to generate high‑quality engagement, accelerate discovery conversations, and build early pipeline with genuine commercial potential.

As artificial intelligence evolves from providing insights to triggering real-world actions, organisations face a new challenge: determining who is accountable when automated systems influence outcomes.

In this commentary, Tirumala Ashish Kumar Manne explores the governance, security, and oversight considerations required for responsible deployment of agentic AI, arguing that effective innovation depends on clear accountability, robust safeguards, and meaningful human involvement in high-impact decisions.

Can AI be trusted to make decisions? Will this monumental rise of Generative AI usage continue?

These are important questions for our data leaders, with differing opinions on the benefits, safety, and reliability of AI-based applications. This is clearly an important topic when we consider the implications on data privacy and future planning.

Hear from one of our partners for the Exchange, Flexor on how unstructured data can be up to 3x more powerful than structured data, and how their product can take it to the next level.