What kinds of problems are organizations solving with Machine Learning? In this episode, we explore a situation where a public works department was looking for more accurate information to predict future water levels based on rainfall to maintain water tank storage for balancing pressure and to prevent overflow flooding. Marathon data solutions consultants Brian Knox and Andy Yao, built a custom machine learning model and made the results available through Power BI reporting. We talk through some of the data hurdles the project presented, the tools they used, and how their work provided results the client could rely on. We touch on Azure ML environment and future integrations that will come with Power BI and ML.
Have you done any work in ML or predictive modeling? Did you get any good take-aways from today's podcast? Leave us some love ❤️ on LinkedIn, Twitter/X, Facebook, or Instagram.
The show notes for today's episode can be found at Episode 275: Machine Learning and Power BI. Have fun on the SQL Trail!
Episode 274: A CMM Case Study
Episode 273: The Capability Maturity Model for Data Professionals
Episode 272: Performance Tuning Scripts
Episode 271: Pass Summit 2023 Wrap-Up
Episode 270: Medallion Architecture
Episode 269: Why Do I Need a Managed Service Provider?
Episode 268: AI and the Future of the Database
Episode 267: Microsoft Fabric
Episode 266: Working with Containers
Episode 265: WHY and What's Next
Episode 264: Verified Backups
Episode 263: SQL Server This ‘n That
Episode 262: Learning Azure Synapse Pt 1
Episode 261: The Data Lakehouse
Episode 260: Contained Availability Groups
Episode 259: T-SQL Snapshot Backups
Episode 258: Leave 2022 Enter 2023
Episode 257: The Business of Working for Yourself
Episode 256: The Community Episode
Create your
podcast in
minutes
It is Free
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
Black Wolf Feed (Chapo Premium Feed Bootleg)
Bannon`s War Room