Remove Data-driven Remove Modeling Remove Optimization
article thumbnail

RLHF For High-Performance Decision-Making: Strategies and Optimization

Analytics Vidhya

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.

article thumbnail

Cloudera Evaluates Integrated Data and AI Exchange Business Line to Optimize Data-Driven Generative AI Use Cases

Cloudera

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Using Data-Driven Lean Thinking to Optimize Business Processes

Smart Data Collective

Data-driven decision-making has become a major element of modern business. A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Furthermore, only 13% of companies are actually delivering on their data strategy.

article thumbnail

Data-Driven Approaches to Better Optimized Enterprise Workflows

Smart Data Collective

Big data has been a very important part of modern human resource solutions. One of the biggest implications of big data in human resources has pertained to enterprise workflow management. If your workflows are optimized, then you can save staff time, reduce errors, and function more professionally as a whole. Make a Plan.

article thumbnail

The Practical Guide to Using a Semantic Layer for Data & Analytics

Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer. How to enable data teams to model and deliver a semantic layer on data in the cloud.

article thumbnail

Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization

AWS Big Data

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. In this post, we describe how Redshift Serverless utilizes the new AI-driven scaling and optimization capabilities to address common use cases.

article thumbnail

Faultless with serverless: Cloud best practices for optimized returns

CIO Business Intelligence

As enterprises increasingly embrace serverless computing to build event-driven, scalable applications, the need for robust architectural patterns and operational best practices has become paramount. optimize the overall performance. Serverless functions are vulnerable to excessive consumption due to sudden spikes in data volume.

article thumbnail

The Modern Customer Success Playbook

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.