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Enhancing Consumer Insights with Artificial Intelligence

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Artificial Intelligence (AI) is revolutionizing the field of innovation management by providing powerful tools to enhance consumer insights. Leveraging AI for Market Research Artificial Intelligence (AI) is revolutionizing market research by providing innovative techniques and enhancing data collection and analysis.

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Improving Idea Validation with Artificial Intelligence

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AI-Powered Concept Testing Understanding AI in Concept Testing AI-powered concept testing leverages artificial intelligence to evaluate and validate new ideas efficiently. By using machine learning algorithms and data analytics, AI can simulate various scenarios and predict the potential success of a concept.

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Transform Your Consulting with Artificial Intelligence

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Artificial intelligence (AI) is transforming industries, and business consulting is no exception. By integrating AI, you can leverage machine learning, natural language processing, and data analytics to provide more precise, insightful, and strategic advice. Ready to dive deeper?

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Identify Emerging Opportunities with Artificial Intelligence

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Artificial Intelligence (AI) is revolutionizing the field of innovation management by providing advanced tools and methodologies to enhance creativity and efficiency. Accuracy : Machine learning algorithms can detect subtle patterns and correlations that might be missed by traditional analysis methods.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Best Artificial Intelligence Consultant Training Choices

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In today’s rapidly evolving tech landscape, the demand for Artificial Intelligence (AI) consultants is on the rise. To learn more about the role of an AI consultant, visit our article on what is an artificial intelligence (ai) consultant? Duration Varies from a few weeks to several months.

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Artificial Intelligence Consultant Certification Options

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As businesses strive to innovate and leverage data-driven decisions, the role of artificial intelligence (AI) consultants has gained paramount importance. For more insights on the role and responsibilities, refer to our article on what is an artificial intelligence (ai) consultant?

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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

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. 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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.

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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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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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The Recruiting Crossword Puzzle

On top of ever-increasing advancements on the technology front (hello, artificial intelligence), try adding record-low unemployment and candidates’ virtual omnipresence and you’ve got yourself a pretty passive, well-informed, and crowded recruiting landscape.

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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

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.