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  • LexisNexis PatentsSight/IPWatchdog patent analytics webinar “Chasing technology 'unicorns' – How to spot acquisition targets early on” (August 25th, 2020, 12:00 pm ET I 18:00 CEST)
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  • LexisNexis PatentsSight/IPWatchdog patent analytics webinar “Chasing technology 'unicorns' – How to spot acquisition targets early on” (August 25th, 2020, 12:00 pm ET I 18:00 CEST)


LexisNexis PatentsSight/IPWatchdog patent analytics webinar “Chasing technology 'unicorns' – How to spot acquisition targets early on” (August 25th, 2020, 12:00 pm ET I 18:00 CEST)

  • 23 Aug 2020 11:59 PM
    Message # 9186269

    LexisNexis PatentsSight is sponsoring a free patent analytics webinar Chasing technology 'unicorns' – How to spot acquisition targets early on: A closer look at the acquisition of Zoox by Amazon”

    August 25th, 2020, 12:00 pm ET I 18:00 CEST | 9:30 PM IST

    A registration link

    “Which company is the next acquisition target in autonomous driving?

    The decision to "make" or "buy" is one of, if not, the most important decisions that corporate decision makers have to make when it comes to developing ground-breaking technology. This is the decision that can set the tone of success or loss of a company in a technology race that could define the next decades of an industry. 

    In this webinar, we will analyse such a decision made by Amazon Inc. to "buy" Zoox Inc. Patent data retrieved from patents belonging to the technology field of  Autonomous Driving were studied and analysed in order to explain – why Amazon decided to acquire Zoox for approx. $1.2 billion! Apart from that our presenters will also discuss other unicorn companies in this field that would make for great acquisition targets.

    Since it is a common practice to file for patents much ahead of actual product development/roll-out, analysing patent data can help us in finding the crémé de la crémé of innovation leaders. Be it a small, obscure/unheard of company (like Zoox Inc.) that was only a fledgling start-up until a few years ago, or an established automotive OEM (like Volvo Cars) that have made revolutionary advances into a new technology, to generate a viable return on innovation investment on their research expenses they have to file for patents to protect their rights . 

    Using our proven metrics, in this webinar, the presenters will examine and discuss: 

    • an overview analysis of the Autonomous Driving patent landscape
    • a comparison of selected automotive OEMs and their portfolio in Autonomous Driving
    • a break-down analysis of Zoox's patent portfolio in Autonomous Driving
    • the specifics of Amazon's patent portfolio in Autonomous Driving before and after the acquisition
    • implications for the automotive industry and other Autonomous Driving unicorns like Zoox Inc.

    In addition, experience how the reliable and meaningful visualization features offered by PatentSight, help to quickly identify the strongest players in any specific IP landscape.”

    Presenters:

    Gene Quinn is the President and founder of IPWatchdog.com, a patent attorney, law professor, and leading commentator on patent law and innovation policy.

    William Mansfield, Director Consulting and Customer Success, PatentSight® - A LexisNexis Company… With an Economics background and experience in Market and R&D strategy in the semiconductor industry, Will approaches patent analytics with an eye on business value creation.

    https://www.patentsight.com/free-webinar-why-did-amazon-acquire-zoox

    A registration link

    Note: Organizers  also encourage to register those who are unable to attend and they would send a link for recording after event.

    A registration form requires a corporate email address. Those who do not have one, could request a manual registration at news@patentsight.com.

    Related PatentSight Blog Post

    Columbus, Louis. Six key insights from patent analytics to help us understand why Amazon bought Zoox. PatentSight IP Analytics Blog. Jul 20, 2020 (accessed 8.24.20).

    Notes:  For PatentSight Patent Asset Index Methodology, see an attached file.

    Additional references related to Patent Asset index and its use

    Xavier, N., 2019. How to use the Patent Asset IndexTM for Patent Portfolio Benchmarking: IBM vs. Qualcomm (Use Case). PatentSight IP Analytics Blog. URL https://www.patentsight.com/en/ip-analytics-blog/how-to-use-the-patent-asset-index-for-patent-portfolio-benchmarking-ibm-vs.-qualcomm-use-case (accessed 8.24.20).

    Wilson, M., 2019. Innovation Effects in Dow/DuPont: A Patent Analysis. The Antitrust Bulletin 64, 54–78. https://doi.org/10.1177/0003603X18823635

    … The aim of this article is to explore through patent analysis whether and to what extent the merging parties are competing in the relevant innovation spaces.

    2. How is patent quality assessed? Patent portfolios can be assessed and compared using PatentSight’s Patent Asset Index (PAI), which reflects both the number of active protected patents and their quality. The PAI is based on a combination of Technology Relevance and Market Coverage scores, summed over each patent family in a given portfolio. Technology Relevance is a metric in the PatentSight database, which reflects the number of worldwide citations received from later patents, adjusted for age, patent office practices and the particular technology field. Market Coverage refers to the size of the geographic market protected by an active patent or pending patent application, weighted by the gross national income (GNI) of each geographic market protected. Patents with high values for Technology Relevance and Market Coverage tend to be more frequently opposed (i.e., attacked and defended or enforced in court) and are more likely to be commercialized. Using the PAI and Technology Relevance values of portfolios to control for quality in patent analysis is consistent with the Commission’s approach in Dow/DuPont as well as earlier cases, such as Glaxo/Wellcome.

     [Related] Villa, A.M., Do Mergers Stifle Innovation? – European Commission’s use of the Patent Asset IndexTM in the Dow/DuPont Antitrust Case. Presented at the IC-SDV 2018, Nice, France. April 2018 20. p.

    Guderian, C.C., 2019. Identifying Emerging Technologies with Smart Patent Indicators: The Example of Smart Houses. Int. J. Innovation Technol. Management 16, No. 2 1950040. https://doi.org/10.1142/S0219877019500408  (Carsten is also Data Analyst/Data Scientist at PatentSight GmbH in addition to his affiliation with WHU-Otto Beisheim School of Management.)

    In this paper, I analyze one such emerging technology, smart houses, which refers to connected and centrally controlled everyday household solutions. I provide a detailed technology landscape study that tracks longitudinal patenting changes in the technology during the 18-year period from 2000 to 2017. Central to the analyses is the use of smart indicators and longitudinal annual data, allowing tracking changes over time. The analyses encompass general patenting trends in the technology of smart houses, including the detection of key players, pertinent technology class developments, and most relevant countries for the technology of smart houses. The case study results indicate that the use of smart indicators and longitudinal data supplements established patent indicators in technology intelligence by providing additional insights to the emergence of new technologies that cannot be detected by conventional measures.

    Villa, A.M. (PatentSight), Klein, F. & Aarnoudse, R.(DSM) . 2018. Biotechnology in Animal Nutrition: Strategic insights in the IP landscape by PatentSight advanced analytics. Presented at CEPIUG 10th Year Anniversary Conference, Milano, 9-11 September 2018.  http://cepiug.org/10YAC/session1b/Klein.pdf

    Fankhauser, M., Moser, C., Nyfeler, T., 20 June 2018. Patents as Early Indicators of Technology and Investment Trends: Analyzing the Microbiome Space as a Case Study. Front. Bioeng. Biotechnol. 6. https://doi.org/10.3389/fbioe.2018.00084

    Here we used PatentSight, a consolidated database and software tool to benchmark patent portfolios, and to analyze key patent owners and innovators in the microbiome space. Key measures of this analysis are quality parameters assigned to each patent family, such as the Technology RelevanceTM (TR, measured by the number of citations received), Market CoverageTM (MC, measured by the protected market size), and the Competitive ImpactTM (CI, the product of TR and MC). The Patent Asset IndexTM (PAI) represents the cumulated business value of a patent portfolio, calculated as the sum of the CIs of the patents included therein (Ernst and Omland, 2011).

    …The quality of patent portfolios as determined by the Patent Asset IndexTM (the sum of all Competitive Impacts of an entire portfolio) does not correlate with portfolio size and provides an independent more sophisticated method to rank the top 20 microbiome patent owners (Figure 3, left side) and inventors (Figure 3, right side). This approach reveals top microbiome players with focused patent portfolios, which in a classic portfolio size analyses can be overshadowed by large but low-quality patent portfolios.

    The early detection of emerging trends within the microbiome patent space may help to identify both novel scientific developments as well as new exciting early-stage ventures. To identify the latter, we filtered patent owners with portfolio sizes of equal or less than 10 patent families and ranked them according to the number of patents published since January 2017 (Figure 5, left side). This approach highlighted entities which have entered the microbiome space very recently, and thus, may not yet have received widespread attention.

    To explore a novel scientific trend, we filtered patent owners that use microbiome approaches for the diagnosis or treatment of cancer… Interestingly, this analysis brought forward a new set of entities (Figure 5, right side) including some universities … and startups …that did not appear in the prior, unfiltered analysis.

    https://www.frontiersin.org/articles/10.3389/fbioe.2018.00084/


    Omland, N., 2011. Valuing patents through indicators, in: Munari, F., Oriani, R. (Eds.), The Economic Valuation of Patents. Methods and Applications. Edward Elgar Publishing, Cheltenham, pp. 169–204. https://books.google.com/books?id=ztq5BNFnIDUC&pg=PA169

    Ernst, H., Omland, N., 2011. The Patent Asset Index – A new approach to benchmark patent portfolios. World Patent Information 33, 34–41. https://doi.org/10.1016/j.wpi.2010.08.008 (Article in Press copy)

    …In this paper, we develop a new benchmarking methodology that overcomes limitations of existing approaches and offers a more accurate assessment of a firm’s patent portfolio vis-à-vis its competitors. Firms are ranked according to the Patent Asset Index, which is derived from a set of newly developed patent indicators. These indicators are empirically validated and reflect more accurately the value of patents. We apply the new benchmarking method in the global chemical industry and contrast our findings with those of other existing patent portfolio rankings.

    Omland, N., 2010. Using Patent Information for Innovation Benchmarks [The Patent Asset Index: IP Benchmarking and Reporting]. Presented at the ICIC 2010, 25 October 2010, 20 p. http://www.haxel.com/icic/2010/programme2010/monday-25-oct-2010/using-patent-information-for-innovation-benchmarks/at_download/attachfile

    Different approaches to innovation benchmarking and their strengths and weaknesses

    ·       Review of patent data-based innovation benchmarks published in the media

    ·       The Patent Asset Index

    ·       Outlook

    Ernst, H., 2003. Patent information for strategic technology management. World Patent Information 25, 233–242. https://doi.org/10.1016/S0172-2190(03)00077-2

    ... This paper addresses how patent information can be used for competitor monitoring, technology assessment, R&D portfolio management, the identification and assessment of potential sources for the external generation of technological knowledge, especially by means of mergers and acquisitions, and human resource management. Indicators of patenting strategies and various portfolio concepts which can be used for these purposes are described.



    See also a list of other scientific publications, webinars and PatentSight IP Analytics Blog posts at the PatentSight website.


    Update: 8/24/2020 3:26 AM Additional references related to Patent Asset index and its use

    1 file
    Last modified: 24 Aug 2020 3:38 AM | Anonymous member

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