Data Faces Podcast
Data Faces Podcast
Podcast Description
Data Faces is a podcast that brings the human stories behind data, analytics, and AI to the forefront. Join us for engaging interviews and discussions with the industry’s leading voices—the leaders, practitioners, and tech innovators who are shaping the future of data-driven decision-making. In each episode, we explore the culture, challenges, and real-life experiences of the people behind the numbers. Whether you're a tech executive, data professional, or just curious about the impact of data on our world, Data Faces offers a refreshing look at the individuals and ideas driving the next wave
Podcast Insights
Content Themes
The podcast covers themes such as the impact of AI on business, data integrity, historical lessons on technology, and ethical considerations in AI. Episodes include discussions on why 90% of Gen AI projects might fail, the role of trusted data in successful AI initiatives, and how historical revolutions inform our understanding of AI's future potential.
Data Faces is a podcast that brings the human stories behind data, analytics, and AI to the forefront. Join us for engaging interviews and discussions with the industry’s leading voices—the leaders, practitioners, and tech innovators who are shaping the future of data-driven decision-making. In each episode, we explore the culture, challenges, and real-life experiences of the people behind the numbers. Whether you’re a tech executive, data professional, or just curious about the impact of data on our world, Data Faces offers a refreshing look at the individuals and ideas driving the next wave
📢 Is AI just adding noise—or unlocking real competitive advantage?
In this episode of Data Faces, David Bryson, Principal Competitive Intelligence Manager at Splunk, breaks down how AI is changing the landscape of competitive intelligence and what it means for analysts, marketers, and business leaders alike.
Whether you're building a CI function or trying to turn data into action, this conversation reveals how to move from information gathering to actual intelligence—with the help of AI.
🔍 Key Takeaways:
Why “so what?” is the question every CI analyst should ask
How AI tools like deep research can supercharge strategic thinking
The danger of over-trusting generic AI outputs in CI workflows
Why prompt engineering is the new CI superpower
What the next generation of CI professionals need to succeed
⏳ Timestamps for Easy Navigation:
00:00 – Intro and welcome
01:00 – Dave’s path from sales engineering to CI
03:15 – How AI is changing intelligence gathering
05:45 – Separating signal from noise in AI-generated research
10:00 – Can AI replace the human side of CI?
12:30 – Deep research, prompt strategy, and personal AI workflows
16:00 – Sharing prompts and building internal CI knowledge
17:10 – Rethinking feature-function comparisons in an AI-first world
22:00 – Moving from reactive to proactive CI with AI
27:10 – Turning information into true intelligence
30:30 – What future CI professionals need to thrive
34:30 – Advice for breaking into competitive intelligence
📩 More insights & resources:
👉 https://prompts.tinytechguides.com
🔗 Connect with David Bryson:
💼 LinkedIn: https://www.linkedin.com/in/david-bryson
🌎 Splunk: https://www.splunk.com
💬 What was your biggest insight from this episode? Drop it in the comments!
👍 If you enjoyed the conversation, don’t forget to like, subscribe, and share for more practical AI and data insights.
#CompetitiveIntelligence #AIinBusiness #DataFacesPodcast
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