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MI
Michael Russo
Asked on 10-10-2026

How do you decide between AutoML and custom model development?

I am struggling to decide if we should use an AutoML tool or hire someone to build custom models. My thoughts: AutoML is faster but maybe less 'smart'.Custom models are expensive but more tailored. Wh...
Data Science
276 views
2 votes
TH
Thomas Gardner
Asked on 10-10-2026

Why do some predictive models fail in production despite high training accuracy?

I trained a model for customer churn that showed 95% accuracy on my test set, but it is performing terribly in production. Is this a classic case of data drift, or is my model too complex? What tools ...
Data Science
168 views
15 votes
PH
Philip Reyes
Asked on 10-10-2026

What is the best way to handle 'concept drift' in live analytics?

My churn prediction model worked perfectly for six months, but now it is way off. I assume the underlying behavior of our users has changed. How do you guys automate the process of retraining and upda...
Data Science
235 views
9 votes
LA
Lawrence Bishop
Asked on 10-10-2026

How do you validate a model trained on synthetic data?

We have a privacy requirement that prevents us from using real customer data for training. We are generating synthetic data that mimics the real patterns. How do I know if the model is actually 'learn...
Data Science
314 views
0 votes
NA
Nancy Cooper
Asked on 10-10-2026

How do I explain 'Black Box' AI analytics to stakeholders?

I am tasked with presenting AI-driven insights to leadership, but they are skeptical about where the recommendations come from. Since the model is a bit of a 'black box,' how do you explain the decisi...
Data Science
379 views
2 votes
NA
Nancy Walker
Asked on 10-10-2026

How do you document AI-driven analytics projects for the long term?

We are constantly losing knowledge as team members rotate off projects. Our AI models are becoming 'black boxes' because of poor documentation. What are the best practices for documenting the data lin...
Data Science
244 views
1 votes
DI
Diane Kramer
Asked on 10-10-2026

What is the role of historical data in predictive analytics accuracy?

I am starting a new project, but we only have six months of historical data. Is this enough for a predictive model, or am I just setting myself up for failure? What are the limitations of building a p...
Data Science
280 views
9 votes
ED
Edward Phillips
Asked on 10-10-2026

What are the most essential skills for an AI Analytics Manager?

I am transitioning into a management role over our data science team. I am less focused on the code now and more on the product/strategy. What should I prioritize? How do I ensure my team is building ...
Data Science
324 views
3 votes
BA
Bachittar Dawangave
Asked on 09-10-2026

How do I build a production-ready agentic RAG project?

I have built simple RAG systems before, but now I want to add an agentic layer that can perform multi-hop reasoning across a knowledge base. The problem is that the 'agent' often gets stuck in loops o...
New Technologies
255 views
9 votes
AN
Andrea Flores
Asked on 09-10-2026

Are there really four types of agentic AI?

I keep seeing references to 'four types of agentic AI' in some white papers, but nobody seems to agree on what those types actually are. Some sources talk about reactive vs. proactive, while others ta...
New Technologies
287 views
6 votes

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