IDiyas

For the Inventor, By the Inventor

Tel Aviv, Israel

Ofer Lavi

USPTO Granted Patents = 11 

Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:

goldMedal11 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2016-2025

where 'Filed Patents' based on already Granted Patents

11 patents (USPTO):
1. 12306741 - Adjusting chat bot design based on matched escalation logs (2025-05-20),
2. 12141540 - Message mapping and combination for intent classification (2024-11-12),
3. 11823666 - Automatic measurement of semantic similarity of conversations (2023-11-21),
4. 11790239 - Deep learning testing (2023-10-17),
5. 11625609 - Integration of external applications into deep neural networks (2023-04-11),
6. 11605386 - Computerized dialog system improvements based on conversation data (2023-03-14),
7. 11227227 - Automatic detection of anomalies in graphs (2022-01-18),
8. 11157257 - Automatic cloning of Conda environment into Docker image (2021-10-26),
9. 10915711 - Numerical representation in natural language processing techniques (2021-02-09),
10. 10678821 - Evaluating theses using tree structures (2020-06-09),
11. 9245233 - Automatic detection of anomalies in graphs (2016-01-26),

Title: Ofer Lavi: Innovator in Automated Agent Technology

Introduction

Ofer Lavi is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of automated agent technology, holding a total of 11 patents. His work focuses on enhancing the functionality and efficiency of chatbots and automated systems.

Latest Patents

One of Ofer Lavi's latest patents is titled "Adjusting chat bot design based on matched escalation logs." This innovative system includes a processor that receives a bot design and escalation logs associated with a chatbot configured based on that design. The processor computes a similarity score between various bot response nodes in the design and the escalation logs, generating a sorted list of response nodes based on these scores.

Another notable patent is "Message mapping and combination for intent classification." This method involves receiving a first message from a user during a conversation with an automated agent. The system produces a second message that contains the same request as the first but in a different language modality. The combined message is then input into the automated agent to produce an intent classification for the original message.

Career Highlights

Ofer Lavi is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop cutting-edge technologies in the realm of automated agents and chatbots.

Collaborations

Ofer collaborates with talented individuals such as David Boaz and Inbal Ronen. Their combined expertise contributes to the advancement of innovative solutions in the field.

Conclusion

Ofer Lavi's contributions to automated agent technology through his patents and work at IBM highlight his role as a key innovator in the industry. His advancements continue to shape the future of chatbot design and functionality.

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