Episode web page: https://tinyurl.com/2b3dz2z8 ----------------------- Rate Insights Unlocked and write a review If you appreciate Insights Unlocked , please give it a rating and a review. Visit Apple Podcasts, pull up the Insights Unlocked show page and scroll to the bottom of the screen. Below the trailers, you'll find Ratings and Reviews. Click on a star rating. Scroll down past the highlighted review and click on "Write a Review." You'll make my day. ----------------------- In this episode of Insights Unlocked , we explore the evolving landscape of omnichannel strategies with Kate MacCabe, founder of Flywheel Strategy. With nearly two decades of experience in digital strategy and product management, Kate shares her insights on bridging internal silos, leveraging customer insights, and designing omnichannel experiences that truly resonate. From the early days of DTC growth to today’s complex, multi-touchpoint customer journeys, Kate explains why omnichannel is no longer optional—it’s essential. She highlights a standout example from Anthropologie, demonstrating how brands can create a unified customer experience across digital and physical spaces. Whether you’re a marketing leader, UX strategist, or product manager, this episode is packed with actionable advice on aligning teams, integrating user feedback, and building a future-proof omnichannel strategy. Key Takeaways: ✅ Omnichannel vs. Multichannel: Many brands think they’re omnichannel, but they’re really just multichannel. Kate breaks down the difference and how to shift toward true integration. ✅ Anthropologie’s Success Story: Learn how this brand seamlessly blended physical and digital experiences to create a memorable, data-driven customer journey. ✅ User Feedback is the Secret Weapon: Discover how continuous user testing—before, during, and after a launch—helps brands fine-tune their strategies and avoid costly mistakes. ✅ Aligning Teams for Success: Cross-functional collaboration is critical. Kate shares tips on breaking down silos between marketing, product, and development teams. ✅ Emerging Tech & Omnichannel: Instead of chasing the latest tech trends, Kate advises businesses to define their strategic goals first—then leverage AI, AR, and other innovations to enhance the customer experience. Quotes from the Episode: 💬 "Omnichannel isn’t just about being everywhere; it’s about creating seamless bridges between every touchpoint a customer interacts with." – Kate MacCabe 💬 "Companies that truly listen to their users—through qualitative and quantitative insights—are the ones that thrive in today’s competitive landscape." – Kate MacCabe Resources & Links: 🔗 Learn more about Flywheel Strategy 🔗 Connect with Kate MacCabe on LinkedIn 🔗 Explore UserTesting for customer insights for marketers…
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AI Insights - Tomorrow’s Tech Today (Episode 5 | S1) - Securing Artificial Intelligence: Insights from AI Security Expert Stefan Niedermaier
Manage episode 450773028 series 3616471
Inhoud geleverd door Reply. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Reply of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
In this episode of "AI Insights – Tomorrow's Tech Today," Thomas Siebenhüner sits down with Stefan Niedermaier, a Senior Consultant at Like Reply and a leading expert in software development and IT security. The discussion pivots around the intricate relationship between AI and security within the realm of large language models (LLMs). They delve into the main security risks tied to LLM applications, including model inversion attacks, data poisoning, and the subtle nuances of prompt injections. Stefan explains the different layers of security necessary for robust AI applications and shares strategic insights on enhancing the privacy and security of training data. Throughout the conversation, they explore strategies to mitigate these risks and the broader implications for industries relying on generative AI technologies. This episode not only highlights the challenges but also the ongoing advancements in securing AI against emerging threats, making it a must-listen for professionals navigating the complex landscape of AI security.
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DelenManage episode 450773028 series 3616471
Inhoud geleverd door Reply. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Reply of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
In this episode of "AI Insights – Tomorrow's Tech Today," Thomas Siebenhüner sits down with Stefan Niedermaier, a Senior Consultant at Like Reply and a leading expert in software development and IT security. The discussion pivots around the intricate relationship between AI and security within the realm of large language models (LLMs). They delve into the main security risks tied to LLM applications, including model inversion attacks, data poisoning, and the subtle nuances of prompt injections. Stefan explains the different layers of security necessary for robust AI applications and shares strategic insights on enhancing the privacy and security of training data. Throughout the conversation, they explore strategies to mitigate these risks and the broader implications for industries relying on generative AI technologies. This episode not only highlights the challenges but also the ongoing advancements in securing AI against emerging threats, making it a must-listen for professionals navigating the complex landscape of AI security.
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