Solution Study: Service in times of economic uncertainty

Session

Service in times of economic uncertainty

Solution Study

Mittwoch, 20. November

09:20 - 09:55

Live in Berlin

Weniger Details

Join Aquant for a dynamic featured keynote that dives into the industry’s biggest challenges, powered by insights from our 2025 Field Service Benchmark Report. With the rise of personalized AI, the Shift Left method, and intelligent remote solutions, service leaders have a tremendous opportunity to step up their game. This session will show how adopting cutting-edge, personalized AI that understands your business and focuses on critical KPIs will completely reshape your service delivery. We’ll also tackle the ongoing talent acquisition and retention challenges while discussing how data and personalized AI are crucial to bridging the skills gap and empowering your teams for long-term success. Together, we’ll explore:

AI that delivers: See how aligning your team with top-performing AI solutions can slash service costs by up to 23%.
Remote solutions with real results: Learn how AI-driven remote troubleshooting and diagnostics reduce site visits, improve First Time Fix Rates, and more.
Ways to attract and keep top talent: Find out how AI can streamline processes, making it easier to bring in great talent and solve service issues faster.

Sprecher

Tim Burge

Director, Aquant

For over 15 years, Tim has been helping people solve real-world business problems using advanced data technologies. Focusing on bridging the gap between business and technology and assisting organisation’s to become more data-driven. Tim has worked in both the technology and agency worlds.

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Unternehmen

Aquant

https://www.aquant.ai/

Aquant offers generative AI purpose-built for service through its Service Co-Pilot platform. Whether you’re a service leader, field technician, customer service representative, or customer, this platform is designed to offer expert guidance for all participants involved in the service lifecycle, ensuring optimal decision-making at each stage. Service Co-Pilot continuously refines its capabilities by learning from real-world service data, expert insights, and user feedback. This dynamic approach enables the engine to generate the most accurate and personalized recommendations for every query, throughout every phase of the service cycle.

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