Predictive Analytics in R&D & IP Strategy Development

September 4, 2017


Valuenex Seminar

Discerning Trends and Identifying Opportunities through Patent Portfolio and Document Analysis

Register for free here


Thursday, 21st September 2017
13.00 Registration
13.30-16.00 Presentations and Q&A
16.00-17.00 Networking & Drinks


Conversation Room
The Royal Institution
21 Albemarle Street
London W1S 4BS


Join Dr. Tatsuo Nakamura, founder and CEO of Valuenex, Inc, and a panel of influential IP and predictive analysis experts at a seminar to learn how companies use predictive analytics to develop their R&D, M&A, and IP strategies. The seminar will be held in home of scientific education and research, The Royal Institution of Great Britain in central London.

Valuenex is a leader in AI Predictive Analytics, IP and R&D trend analysis and Big Data visualization. Its tools enable organisations to spot trends and future patterns hidden in massive amounts of data using innovative four-dimensional mapping technology.

Hear how we should approach Big Data and optimally analyse and visualize information, the use of predictive analytics for innovation, and how businesses can harness the power of AI. Our Presenters will also share real-life business use cases simulating M&A sustainability, R&D strategy development, due diligence, and finding emerging fields and white spaces across industries.


Dr. Tatsuo Nakamura • VALUENEX, Founder and CEO
Confirming M&A Sustainability by Analyzing Effective Investment Volumes with IP Synergy Indices

Jon Calvert • ClearViewIP, CEO
The Needs of Multinational Enterprises in Developing their Innovation Strategies as their Business Collides with IoT, AI and the Digital Economy – an IP and Technology Perspective

Takayoshi Hayashi • VALUENEX, Lead Analyst
A Technology Trend Analysis for R&D Strategy on iPS Cells: Case Study Analyzing Trend Differences based on Patents, Academic Papers, or NIH Grant Information

Dr. Lei Liu • VALUENEX, Consulting Team Manager
The Possibility of Technology Due Diligence Based on IP Panoramic View Analytics: Case Studies on M&A and Start-up Investment

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