Performing Accurate & Budget-Friendly Patent Landscapes using Explainable AI

AI has made analysing large amounts of technology easy and resource-efficient. XLSCOUT’s explainable AI-based tool helps you create multi-level manual taxonomies for categorising the patents with a validated accuracy of 95%. It can automatically categorize and analyse data without any hassle.

Key Takeaways:

>> How to conduct a quick and detailed patent Landscape
>> How to create your own multi-level taxonomies using explainable AI
>> How to generate various technology insights & reports using AI

25
May 2022
2:30 am
JST

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Featured Speakers

Pranav Sharma

Chief Marketing Officer | XLSCOUT

Pranav Sharma is currently working as a Chief Marketing Officer at XLSCOUT. He has significant experience in assisting clients to take decisions in R&D, Competitor benchmarking, go-to-market strategy, idea generation, and implementing solutions using the best AI technologies in the market.

Komal Talwar

Founder | XLSCOUT

Founder and director of a leading Intellectual Property and technology consulting firm – TT Consultants and XLSCOUT. She has been selected as a task force member on AI by the Ministry of Commerce and Industry, GOI. She is also a member of the Core Group for Start-up Ecosystem in the State of Punjab.

XLSCOUT 最も正確で、包括的で、インテリジェントな特許・研究論文データベースを開発するために、クラス最高の人工知能（AI）技術を用いてデータをエンジニアリングしました。自然言語処理(NLP)、機械学習(ML)、そしてイノベーション/科学的原理を用いて、XLSCOUTは、データに基づいた戦略的な意思決定を自信を持って行うため、より多くの時間と信頼できる洞察を提供します。