Innovation Tales

Alexandre Nevski

Innovation Tales explores the human side of digital transformation. Hosted by Alexandre Nevski, a seasoned expert in enterprise tech and innovation, each episode features candid conversations with leaders tackling real-world challenges—from leveraging AI to rethinking workflows. Packed with actionable insights and lessons learned, this podcast is perfect for senior managers, team leads, and executives seeking to drive meaningful change. Subscribe now and visit innovation-tales.com to explore more episodes and resources that inspire transformation—one story at a time.

  1. Transformational Wisdom: CRM and ERP Strategies for the Age of AI from Ryan Pollyniak

    7月22日

    Transformational Wisdom: CRM and ERP Strategies for the Age of AI from Ryan Pollyniak

    Beyond the dazzling headlines of Generative AI, a familiar hurdle from past tech rollouts like CRM remains: genuine user adoption. If your organization sees GenAI primarily as a technology challenge, you might be missing the crucial human equation. Join us on Innovation Tales as host Alexandre Nevski and guest Ryan Pollyniak, a seasoned sales professional, share frontline stories and hard-won lessons on navigating the people-side of digital transformation, ensuring your initiatives inspire action, not resistance. Key Takeaways Prioritize People in Every Tech Initiative: Successful Digital Transformation, whether with CRM or AI, depends more on genuine user adoption and addressing the human impact than on the technology itself; understanding personal motivations and ensuring a clear "What's In It For Me?" (WIIFM) for employees is paramount. Executive Sponsorship and True Partnership are Non-Negotiable: Visible Leadership, unwavering executive buy-in, and a collaborative approach with implementation partners are essential to overcome resistance, manage change effectively, and prevent costly deviations from strategic goals. Approach AI Strategically, Starting with Data Readiness: While AI and Machine Learning offer transformative potential, organizations must first ensure their data is clean and aggregated, then strategically integrate AI to solve specific business problems rather than adopting technology for its own sake, focusing on both tactical efficiencies and long-term strategic insights.

    29 分钟
  2. AI and Learning: Creating Meaningful Educational Experiences with Juliette Denny

    7月8日

    AI and Learning: Creating Meaningful Educational Experiences with Juliette Denny

    Traditional learning methods often struggle to keep learners engaged—rigid formats, passive content, and a lack of personalization. But could AI offer a better way? In this episode of Innovation Tales, we sit down with Juliette Denny, a trailblazer in learning technology, to explore how AI is revolutionizing education and corporate training. From gamification to personalized learning at scale, Juliette shares how her latest venture, Zavmo.ai, is rethinking engagement and unlocking human potential. Key Takeaways Personalization Unlocks Engagement and Retention By tailoring learning to each individual’s interests, job roles, and goals—rather than delivering generic content—organizations can capture learners’ attention more effectively. This personalized, context-rich approach helps sustain focus and ensures new knowledge is internalized. AI Must Pair With Sound Pedagogy While large language models enable automation at scale, true impact comes from combining them with proven instructional frameworks (like Bloom’s taxonomy). Relying on AI alone risks inaccuracies or shallow learning; curating high-quality content and applying neuroscience-backed design ensures outcomes remain rigorous and meaningful. Educators Remain Central—Technology Amplifies Their Role AI-driven tools don’t replace teachers or trainers; instead, they free them up to focus on deeper mentorship and creativity. By automating repetitive tasks and personalizing content, AI allows educators to guide learners more effectively while honoring the timeless basics of how the human brain learns and retains knowledge.

    29 分钟
  3. AI in Marketing: A Smarter Approach to Attribution with Zeke Camusio

    6月24日

    AI in Marketing: A Smarter Approach to Attribution with Zeke Camusio

    AI is revolutionizing marketing—but not the way you think. Forget flashy automation and mass content production. In this episode, Alexandre Nevski and Zeke Camusio, founder of Data Speaks, explore how AI is transforming marketing by improving accuracy and access to real insights. Learn why traditional attribution models fall short, how AI-driven experimentation uncovers what truly drives revenue, and why better data—not bigger budgets—is the key to smarter marketing decisions. Whether you're in marketing or just fascinated by real-world AI applications, this episode will change the way you think about data and decision-making. Key Takeaways Data Accuracy Over Volume: Rather than simply pushing out more ads or content, the real power of AI in marketing comes from precise measurement. By focusing on reliable, experiment-based attribution (instead of blanket tracking), companies gain clear insights into which channels actually drive revenue. Experimentation Trumps Guesswork: The podcast highlights the importance of testing changes in spend (what they call “designed” or “natural” experiments) to see the true impact on sales. It’s not about tracking individual users, but about measuring how each channel responds when budgets shift. AI + Human Insight: While AI handles massive data sets and delivers real-time insights, human judgment remains vital. AI surfaces patterns and opportunities, but people bring strategic context and relationship-building—essential for turning raw analytics into business growth.

    28 分钟
  4. Managing AI Risks: Strategies for Innovation and Security Part 2 with Alec Crawford

    6月10日

    Managing AI Risks: Strategies for Innovation and Security Part 2 with Alec Crawford

    Ignoring generative AI isn’t an option—but in high-risk environments, a simple ChatGPT subscription won’t cut it. True enterprise adoption demands security, governance, and a platform built for compliance. In this episode of Innovation Tales, we welcome back Alec Crawford, founder of Artificial Intelligence Risk, Inc., for part two of our conversation on AI security. This time, we dive deeper into how businesses can deploy AI safely, from on-premise security to multi-tiered authorization and real-time compliance monitoring. Key Takeaways AI Security and Governance Are Non-Negotiable – Enterprises handling high-risk AI applications (such as in healthcare and finance) must implement on-premise or private cloud solutions, enforce role-based access, and utilize encryption and activity logging to ensure compliance with strict regulatory requirements. AI Regulations Are Complex and Evolving – From HIPAA in healthcare to state-specific AI laws like Colorado’s AI Act, businesses must navigate a patchwork of AI regulations. The NIST AI Risk Management Framework is emerging as a widely accepted compliance standard that simplifies regulatory alignment. AI’s Ethical and Global Impact Matters – Beyond compliance, organizations must address AI’s broader societal implications, including job displacement and economic divides between wealthy and developing nations. The Global AI Ethics Institute plays a key role in shaping discussions around ethical AI governance and responsible innovation.

    25 分钟

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Innovation Tales explores the human side of digital transformation. Hosted by Alexandre Nevski, a seasoned expert in enterprise tech and innovation, each episode features candid conversations with leaders tackling real-world challenges—from leveraging AI to rethinking workflows. Packed with actionable insights and lessons learned, this podcast is perfect for senior managers, team leads, and executives seeking to drive meaningful change. Subscribe now and visit innovation-tales.com to explore more episodes and resources that inspire transformation—one story at a time.