Predictive AI, The Data Quality Crisis & The Octopus Model: How 2025 Redefined Data and AI

Описание: As we draw the curtains on 2025, it’s time to celebrate and reflect on the tectonic shifts the data and AI landscape have brought our way. In this episode of Bringing Data and AI To Life, hosts Amy Horowitz and Nick Dobbins reflect on a remarkable year of conversations with industry leaders, unpacking breakthrough insights that separate organizations thriving with AI from those merely chasing the hype.

What You’ll Learn:
How to transform data work into mission-critical outcomes
Why you should focus on “keeping your data closets clean” before chasing agentic AI
The agentic AI transformation from “human in the loop” to “human on the loop”
The garbage in, garbage out data crisis we’re battling today
How to structure and design your organization for maximum AI leverage
Why governance and human judgment are non-negotiable in today’s AI-driven world

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This podcast is brought to you by Informatica, the leader in enterprise cloud data management.

Episode Highlights:

00:00 Introduction
00:47 A Year of Data and AI Transformation
01:29 Making Data Work Feel Seamless and Mission-Critical
02:01 The Immense Demand for Data Centers and Infrastructure
02:17 The Evolution of AI & Why Gen AI Isn’t That New
03:57 Agentic AI: From Human-in-the-Loop to Human-on-the-Loop
04:43 Why Quality Data is the Foundation for AI Evolution
05:10 Keep Your Closets Clean Because Data Management Comes First
05:37 Human Oversight Remains the Top Governance Control
06:05 Why is Coherent Infrastructure So Critical?
06:41 Everything We Learnt in 2025: Pilot to Production, Agentic AI & More
15:05 Key Takeaways: Winning with AI Means Working with People

Links

Apple Podcasts: https://bit.ly/4pP62Db
Spotify: https://bit.ly/3KZJsZC
YouTube:    • Predictive AI, The Data Quality Crisis & T...