71 Messages
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611 Points
B2B Breakout Session "Data Insights to AI Innovation: Crafting the Blueprint for a Successful Transformation"
Developing advanced models to support and automate business decisions is essential, but their effectiveness is ultimately limited by the quality of the data they are trained on. In this session, Jonas Rauch, Principal Scientist at PROS, emphasized the importance of data quality and availability in reducing bias and ensuring the success of models in price optimization, forecasting, and other AI applications. Attendees discovered how PROS and its customers overcome data challenges and were inspired to start improving their data collection practices to power future AI models.
What steps will you take to enhance your data quality and collection to maximize the effectiveness of your AI solutions?
amorapotter9
1 Message
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10 Points
2 months ago
The breakout session emphasized the significance of data quality in minimizing bias and enhancing AI performance. With increasingly fragmented data sources, how can B2B businesses continuously and systematically assess and improve their data Among Us Online quality while ensuring model deployment speed?
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greetbrash
4 Messages
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25 Points
23 days ago
The creativity in wacky flip comes alive through combo flips. Players can design breathtaking stunts by chaining horizontal spins, vertical rotations, and somersaults together.
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churchillsonpriddy24
1 Message
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10 Points
2 days ago
To maximize the effectiveness of my AI solutions, I will focus on strengthening data pipelines by implementing stricter validation rules, removing inconsistencies, and ensuring real-time synchronization across sources; I’ll also enrich training datasets with external, verified information to reduce bias while maintaining transparency in data lineage. Additionally, I plan to standardize collection practices with clear governance policies, use monitoring tools to detect anomalies early, and collaborate with stakeholders to continuously refine inputs. Just like how Australia Menus organizes restaurant data clearly and consistently for easy access, I aim to create structured, high-quality datasets that fuel more accurate price optimization, forecasting, and AI-driven decision-making.
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