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Bruno Herrmann

Business Data
Personal Bio

As an advocate of digital effectiveness Bruno Herrmann has more than 20 years of experience in international product, content and customer experience leadership. Most recently he was the Digital Globalization Leader at Nielsen, focusing on global content creation, localization, testing, certification and delivery as well as on product management and international customer experiences. Before joining Nielsen he managed platform and product globalization programs at HP as well as content management projects in addition to Web localization at Compaq. Prior to joining Compaq, he worked in the marketing communications and localization industries, taking part in major international projects for high-profile technology clients.

Bruno Herrmann has been an evangelizer, change agent, thought leader and strategist in international information and product management areas at the convergence of product, content and technology across industries. He is a regular speaker, panelist, moderator and workshop leader during events and meetings around the world.

Presentation title: 
Operationalizing Generative AI to Make it Value-driven & Inclusive
Presentation description: 
After more than a year of hype and overexcitement around generative AI business leaders and decision makers realized in 2024 that experiments and pilots without clear objectives and an inclusive human and technology transformation were going nowhere. This lack of value creation also triggered a wave of disappointment, and even reluctance, regarding what this game changing technology could really bring to the business. It is now time to put generative AI as a feature in perspective with clear expectations and value-creating achievements. During this session you will dive into how to make the most of generative AI with a real-life business case that is articulated and supported by the following best practices: • Defining a SMART plan going through the Awareness-Readiness-Effectiveness virtuous circle and leading to value-adding implementation and adoption; • Ensuring that existing human resources are prepared and enabled to get new skillsets and mindsets; • Adapting business processes where and when it creates or adds value to the whole content or product supply chain; • Unifying and centralizing the content and product management ecosystem to include new toolsets infusing generative AI in operations; • Capturing and measuring generative AI readiness and effectiveness; • Designing and enforcing the appropriate governance and policies to drive transformation and get the balance between humans, processes and technology right; • Build a strong foundation and a data for AI strategy; • Turning multilingual AI-driven content challenges into value creation opportunities.