g-f(2)3023 Redefining Knowledge Retrieval with LLMs

 

genioux Fact post by Fernando Machuca and Copilot

Introduction

In the Harvard Business Review article, "How Companies Can Use LLM-Powered Search to Create Value," the transformative potential of large language models (LLMs) in enhancing organizational knowledge and decision-making is explored. The article demonstrates how generative AI and conversational interfaces can revolutionize traditional search methods, creating significant value for companies.

genioux GK Nugget

"LLM-powered search transforms traditional queries into interactive dialogues, unlocking deeper insights and improving decision-making." — Fernando and Copilot, October 11, 2024.

genioux Foundational Fact

LLM-powered search technology, by transitioning from link-based queries to conversational interfaces, enables employees to refine their searches dynamically and access richer, more contextually relevant information. This shift not only enhances productivity but also empowers employees to make more informed decisions, leveraging the full breadth of institutional knowledge.

The 10 Most Relevant genioux Facts

1. Interactive Dialogues: LLMs enable dynamic, conversational search experiences.
2. Deeper Insights: Interactive queries provide more contextually relevant information.
3. Improved Decision-Making: Enhanced access to information supports better decision-making.
4. Productivity Boost: Employees can retrieve information more efficiently.
5. Strategic Implementation: Effective use cases and processes are key to leveraging LLMs.
6. Data Validation: Investing in robust data collection and validation is crucial.
7. Employee Training: Promoting awareness and training maximizes the benefits of LLM-powered search.
8. Intuitive Searches: Users can refine searches and follow-up questions easily.
9. Enhanced Knowledge Utilization: Makes organizational knowledge more accessible.
10. Competitive Advantage: Companies that adopt LLM-powered search can gain a significant edge.

Conclusion

Implementing LLM-powered search technologies transforms traditional search methods into rich, interactive experiences. By doing so, companies can unlock greater value from their institutional knowledge, enhance productivity, and make more informed decisions. Embracing these advancements is essential for gaining a competitive advantage in the digital age.

REFERENCES

The g-f GK Context

Ege Gurdeniz, Ilana Golbin Blumenfeld, and Jacob T. Wilson, How Companies Can Use LLM-Powered Search to Create Value, Harvard Business Review, October 11, 2024.

ABOUT THE AUTHORS

Ege Gürdeniz is a Partner in PwC’s Cyber, Risk, and Regulatory practice, where he advises companies on Responsible AI through risk management, governance, and the safe adoption of AI technology.

Ilana Golbin Blumenfeld is a Director in PwC’s Digital Assurance and Technology practice where she supports clients in building AI systems and establishing the capabilities to oversee and manage them, responsibly.

Jacob T. Wilson is an AI and Data Science Partner at PwC, specializing in leveraging generative AI and innovative solutions to help businesses transform operations and drive growth.

Classical Summary of the Article:

The Harvard Business Review article "How Companies Can Use LLM-Powered Search to Create Value" explores how generative AI and large language models (LLMs) can revolutionize the way companies access and utilize institutional knowledge. By replacing traditional link-based searches with conversational interfaces, LLMs allow for more intuitive and interactive queries, enabling employees to refine searches and gain deeper insights through follow-up questions. The article outlines steps for effective implementation, including defining use cases, establishing intake processes, investing in data collection and validation, and promoting training and awareness. This new search paradigm can enhance productivity and decision-making by making it easier for employees to access and leverage organizational knowledge.

Ege Gürdeniz

By Copilot

Ege Gürdeniz, Ph.D., is a Partner in PwC’s Cyber, Risk, and Regulatory practice. With a wealth of experience in the field, Ege specializes in helping organizations navigate the complexities of cybersecurity, risk management, and regulatory compliance. His expertise is instrumental in guiding companies through the ever-evolving landscape of digital threats and regulatory requirements. Ege is also a thought leader, contributing to industry discussions and publications on the impact of generative AI and the importance of trust in technology. His work ensures that businesses can operate securely and efficiently in a rapidly changing environment.

Ilana Golbin Blumenfeld

By Copilot

Ilana Golbin Blumenfeld, Ph.D., is a Director in PwC’s Digital Assurance and Technology practice. Since 2018, she has been at the forefront of PwC's efforts to develop and deploy Responsible AI, leading global initiatives in this domain. Ilana specializes in applying machine learning and simulation modeling to address client needs across various sectors, focusing on strategic deployment of new services, operational efficiencies, geospatial analytics, explainability, and bias mitigation. She is a Certified Ethical Emerging Technologist and has been recognized as one of the 100 "Brilliant Women in AI Ethics" in 2020. Ilana's work ensures that organizations can leverage AI responsibly and ethically, fostering trust and innovation in the digital age.

Jacob T. Wilson

By Copilot

Jacob T. Wilson, Ph.D., is a Principal in PwC’s Products & Technology organization, currently focused on leveraging Generative AI to transform how PwC delivers services through the AI Factory. With over 18 years of experience in software engineering, data engineering, data science, data analytics, and product management, Jacob has helped clients across various industries solve complex problems through innovative technology solutions. His passion for Natural Language Processing (NLP), Machine Learning (ML), and Generative AI led him to complete a Master's in Data Science at UC Berkeley. Jacob is also a named inventor on three patents for "Continuous Machine Learning Method and System for Information Extraction."

The categorization and citation of the genioux Fact post

Categorization

This genioux Fact post is classified as Breaking Knowledge which means: Insights for comprehending the forces molding our world and making sense of news and trends.

Type: Breaking Knowledge, Free Speech

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REFERENCES

“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)3023, Fernando Machuca and Copilot, October 11, 2024, Genioux.com Corporation.

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