How Nasdaq Transforms Data Into Decisions

Episode Summary

In this episode, Markus Zirn and Angela Stewart explore the future of AI-driven business transformation. Angela shares insights from her extensive career in CRM and digital transformation, along with her current leadership role at Nasdaq, where she drives strategic initiatives. They explore how tools like Workato are revolutionizing automation projects and offer practical advice on harnessing the power of GenAI. Angela wraps up with crucial advice on how to align new technologies with business goals to ensure impactful and successful implementation.

Timestamps

00:00 Episode Start

02:06 Understanding Nasdaq

03:55 Angela's background

10:00 Angela's responsibilities at Nasdaq

13:30 Implementing Workato at Nasdaq

19:30 Adopting AI and strategies for digital transformation

26:20 Aligning AI with business processes

32:00 Future of business technology

35:50 How to get started with GenAI

Episode Key Takeaways

• Embed AI into your digital transformation: Integrate AI into your broader digital plans for greater impact. Focus on use cases that align with your goals and ensure ethical and legal standards are met.
• Prep your data: Data is the lifeblood of AI so make sure your data is clean and complete. Remove duplicates and fix errors to ensure your AI delivers top results.
• Build a cross-functional team: Create a team of tech and business experts. Include product owners who understand both areas and identify a decision-maker from the beginning to lead and maintain progress.
• Empower your team with intuitive tools: Provide user-friendly automation and integration tools. Democratizing technology means everyone gets to play and win in the AI game. Your business will be more agile, responsive, and innovative.

Top Quote

“AI is not a stand-alone initiative, it should be a part of a digital transformation initiative. And so, ultimately, there's a roadmap, there's an evolution of whatever you're trying to do, and AI, automation, should be a piece of that. But the very first step would be to identify the use case. Who are we trying to do this thing for? Who is this going to benefit? Really kind of understand their day-to-day life, and put your arms around how this AI solution, use case, will benefit them.”