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Building High-Impact Teams and Data-Driven Decisions in Product Management with Abner Rosales 

Productside

For product managers aiming to lead teams or aspiring professionals curious about risk management and data strategy, this episode offers actionable advice and real-world stories to guide your career growth. Making Smart, Data-Driven Decisions Decision-making can make or break your product, especially when data is involved.

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UX Analytics: It’s Not Just About Data Collection and Methods

Userpilot

Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Why UX analytics should go beyond quantitative data. Methods for collecting and analyzing UX data. UX analytics involves gathering, analyzing, and interpreting data about how users interact with your product or service.

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Your data may be discounted: This week’s product news

Mind the Product

This week, we’re looking at new data rules, Threads, and more news from OpenAI. Your data may not be for sale as widely as it was before. The Consumer Read more » The post Your data may be discounted: This weeks product news appeared first on Mind the Product.

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AI ethics advice from former White House technologist – Kasia Chmielinski (Co-founder, The Data Nutrition Project)

Mind the Product

In this episode of the Product Experience Podcast, we speak with Kasia Chmielinski, co-founder of The Data Nutrition Project, who discusses their work on responsible AI, data quality, and the Data Nutrition Project.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Best Practices for Usable and Efficient Data table in Applications

UX Planet

Tips and Insights to Create Intuitive, User-Centered DataTables Data tables provide a structured way to organize and manage information, making it easier to analyze and visualize data effectively. However, creating effective data tables is not as simple as organizing rows and columns. Intuitive: Simplifying Data Interpretation.

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462: Using qualitative data to drive product management prioritizations – with Daniel Erickson

Product Innovation Educators

How product managers can use AI to get more actionable insights from qualitative data Today we are talking about using qualitative data to drive our work in product and consequently improve sales. ” Then the product leader goes to some poor associate PdM and asks them to collate all of the data together.

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Less Stress, More Success: Accounting Best Practices & Processes for 2025

Speaker: Duke Heninger, Partner and Fractional CFO at Ampleo & Creator of CFO System

Whether you’re looking to streamline month-end close, enhance data accuracy, or optimize team collaboration, this webinar will provide practical insights to stay ahead in the rapidly evolving finance landscape!

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What Your Financial Statements Are Telling You—And How to Listen!

Speaker: David Worrell, CFO, Author & Speaker

This isn’t a dry accounting lesson—it’s a dynamic session designed to help you decode your numbers and turn financial data into a strategic advantage! Turn Insights into Action 🔎 Use financial data to drive smarter decisions, identify risks, and create a roadmap for growth. Register now!

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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Put Your Data to Work: The Complete Playbook

An interactive guide filled with the tools to turn your data into a competitive advantage. They rely on data to power products, business insights, and marketing strategy. We’ve created this interactive playbook to help you use your data to provide actionable insights that will lead to better business decisions and customer outcomes.

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5 Key Elements for Building a Successful Data-Driven Product

Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. The criteria you should use to vet available data sources.

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Harness Your Product Data: Better Understanding User Behavior Across Channels and Devices

Speaker: Kate Owens and Megan Bubley, SpotHero, Diana Smith, Segment, and Erin Franz, Looker

As your sources of data increase, so do the complexities of unifying the data in a meaningful way. Join our webinar on October 17th with Segment and Looker to hear how they have solved these complex data issues. In this webinar, you'll learn: Why SpotHero decided to unify their data across departments.