Analytics Vidhya
SEPTEMBER 11, 2023
It will be engineered to optimize decision-making and enhance performance in real-world complex systems. Introduction Reinforcement Learning from Human Factors/feedback (RLHF) is an emerging field that combines the principles of RL plus human feedback.
Analytics Vidhya
OCTOBER 25, 2023
The answers to these questions […] The post How to Optimize Revenues Using Dynamic Pricing? In IRCTC, Rajdhani prices increase are booking rate increases, and in Amazon, prices for the exact product change multiple times. Who decides when to change these prices or to what extent? Who decides the right price at the right time?
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AWS Big Data
MARCH 10, 2025
Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume.
datapine
MARCH 6, 2023
Also, a great way to collect employee engagement data is using Gallup’s Q12 survey , which consists of 12 carefully crafted questions that gauge the most crucial aspects of employee engagement. While there’s plenty you can do to boost engagement at work, the four ways discussed above are proven to be effective based on recent data.
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Key Takeaways: Data Storytelling for Finance 📢 Transforming complex financial reports into clear, actionable insights. Compliance and Risk Considerations ✅ Navigating data-driven finance while staying audit-ready.
CIO Business Intelligence
JANUARY 7, 2025
In some cases, the business domain in which the organization operates (ie, healthcare, finance, insurance) understandably steers the decision toward a single cloud provider to simplify the logistics, data privacy, compliance and operations. The first three considerations are driven by business, and the last one by IT.
datapine
SEPTEMBER 29, 2022
1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in. It integrates these digital solutions into everyday workflows, turning raw data into actionable insights. You won’t want to miss this webinar!
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. ♻️ Manufacturing corporations across the U.S.
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This customer success playbook outlines best in class data-driven strategies to help your team successfully map and optimize the customer journey, including how to: Build a 360-degree view of your customer and drive more expansion opportunities. But where do you start?
Speaker: Evelyn Chou
We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world. 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting. Register to save your seat!
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