Ryan Janssen, CEO of Zenlytic, a breakthrough conversational analytics platform, dives into the captivating intersection of AI and business intelligence. He envisions a future where data feels engaging, even compared to trading cards. The discussion covers the rise of semantic layers in data modeling, addressing user experience and self-service analytics. Ryan emphasizes the importance of soft skills in executing successful data projects. As AI evolves, he advocates for incremental innovations that build trust and ensure compliance, paving the way for user-friendly data solutions.
39:51
forum Ask episode
web_stories AI Snips
view_agenda Chapters
auto_awesome Transcript
info_circle Episode notes
question_answer ANECDOTE
Datamon Cards
Ryan Janssen's team created Datamon cards, Pokemon-like cards featuring data professionals, at DBT Coalesce.
These AI-generated cards, combining Midjourney images and LLM-written copy, showcased AI's potential and were a conference highlight.
insights INSIGHT
Early AI Integration
Zenlytic integrated AI early in its development, using models like BERT before the rise of LLMs.
This allowed them to quickly capitalize on advancements in LLMs, improving resolution and enabling conversational analytics.
volunteer_activism ADVICE
User-Centric Data Modeling
Consider your data model's consumption methods. Starting with the end solution in mind is key for effective data modeling and semantic layer implementation.
Don't just dump data; think about how users will interact with it.
Get the Snipd Podcast app to discover more snips from this episode
Unlock the potential of AI in the world of data analytics with Zenlytic's CEO, Ryan Janssen, as he takes us through a journey from collectible DataMons to the sophisticated integration of AI in business intelligence. Imagine transforming industry pros into trading cards – that's the kind of innovation we chat about, highlighting the whimsical yet calculated steps towards making data not just informative but downright engaging. Ryan recounts the evolution of Zenlytic, from its machine learning beginnings to its current status as a conversational analytics platform, opening up new avenues for how we interact with data.
Data is the new gold, but only if you know how to mine it. This episode peels back the layers of complexity surrounding data modeling and the resurgence of semantic layers, unraveling the intricate dance of accessibility, maintenance, and user experience that businesses must perform. We discuss when your organization might be ready to embrace a semantic layer and the unmistakable signs that it's time to elevate your BI tools for a self-serve experience. Ryan and I also tackle the importance of iteration and soft skills in delivering successful data projects that are not just functional but mission-critical.
As we wrap up, we cast an eye on the horizon of data analytics, where AI isn't merely a trend but a series of incremental innovations shaping the future of data products. From the significance of trust and compliance in AI adoption to the debate between building versus buying AI solutions, we cover the strategic moves companies need to consider. Listen in for a candid discussion on the dynamic roles of data teams, the transformative power of AI like Zenlytic's Zoe, and how different data structures can cater to the divergent engagement levels of users by 2025. After all, the future of data isn't just about numbers—it's about the stories they tell and the decisions they drive.
What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.
What's New In Data