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How is AI changing journalism? (v. April 2024)
How is AI changing journalism? (v. April 2024)
II-SDV 2015, 20 - 21 April, in Nice
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t r a c t I n f o r m a t i o n L i m i t e d Extract Information Limited www.extractinfo.info Jane List Consultancy Search Services Training Patent Information
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t r a c t I n f o r m a t i o n L i m i t e d 2 Patent Landscaping Exploring the city Tuesday 21st April, 2015, II-SDV, Nice, France Jane List Founder, Extract Information Limited
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t r a c t I n f o r m a t i o n L i m i t e d 3 Extract Information Ltd www.extractinfo.info Consultancy Commercialisation strategy Content development for marketing, presentations and trainings Evaluation of databases and information sources Product development SME IP related services include IP management, identification of funding opportunities, markets, potential customers, and competitive landscape analysis Search Services Competitive intelligence Literature and systematic reviews Landscaping Commercial patent searching Technology scouting
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t r a c t I n f o r m a t i o n L i m i t e d Patent Landscaping • Introduction • What is ‘Patent Landscaping’? • Planning the landscaping project • Search, • Relevancy checking / clean-up and categorisation • Analysis and visualisation • Looking ahead 4
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t r a c t I n f o r m a t i o n L i m i t e d http://www.wipo.int/patentscope/en/programs/patent_landscapes/ State of the art • Usually includes scientific literature, and is restricted to recent years Prior art • Focuses on a narrow technology field Patent Landscape • Creates a collection of patents (families) and seeks to analyse them, to answer (business) questions • Patents contain much technical information particularly in emerging technologies not available elsewhere • But 18 months out of date Typically: • Looks at all technologies, and seeks to categorise them • Looks at patents emanating from a geographic area • Provides strategic competitor analysis 5 What is Patent Landscaping? (1)
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t r a c t I n f o r m a t i o n L i m i t e d Types of patent landscaping • Policy usually mega >1 million documents • Industry usually micro / mesa / (1,000-100,000 documents What is the purpose of the industry landscape? • competitive intelligence • M&A • white space analysis • state of the art Types of Industry landscape • Competitive • Company Portfolio • Technology • Regional 6 What is Patent Landscaping? (2)
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t r a c t I n f o r m a t i o n L i m i t e d • Technology – for white space analysis – Opportunity scouting • Competitive – Competitors technology, market share – single company portfolio • Geographical – continent – country – city 7 Some typical patent landscapes
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t r a c t I n f o r m a t i o n L i m i t e d What is the purpose of the landscape? Stages of patent landscaping. Search Relevancy check Clean up Categorisation Analysis Visualisation Report. Costing and Timing 8 Planning the Landscaping Project £££££
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t r a c t I n f o r m a t i o n L i m i t e d Searching for large companies: • ASTRA ZENECA • ASTRAZENECA • ASTRA • ZENECA • MEDIMMUNE • CAMBRIDGE ANTIBODY TECHNOLOGY 9 Searching for landscaping Company / Regional Landscape Prepare search for each company (applicant, inventor, owner information) relevancy check and clean-up analysis Identify companies by: • search in scientific, business databases • google search Searching for small companies may need to use inventor names too • Domainex • Fluidic Analytics
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t r a c t I n f o r m a t i o n L i m i t e d 10 Analysis and visualisation: choosing an appropriate tool • What size is your landscape likely to be? • What type of family do you want to analyse? • Do you need to analyse the text (description / claims) or is bibliographic information enough? • Do you need interactive visualisation ? • Do you need basic visualisation tools? • Do you need to make own charts?
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t r a c t I n f o r m a t i o n L i m i t e d • Ambercite • BizInt Smart Charts • Excel • Global Patent Index / Patstat • GridLogics (PatSEER and PatentInsight Pro) • Intellixir • Linguamatics I2E • Orbit Business Intelligence • Patbase Analytics • PatentSight • PatSnap • TotalPatent • Thomson Innovation / Thomson Data Analyzer • Vantage Point 11 Visualisation Tools Overview
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t r a c t I n f o r m a t i o n L i m i t e d 12 Patent Landscape: Cambridge – some examples Cambridge (UK) has two leading industries - life sciences and high technology - which has the strongest patent footprint? High tech – 30 patent filing companies Life sciences - 23 patent filing companies
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t r a c t I n f o r m a t i o n L i m i t e d Cambridge: Life Sciences AbCam Arecor Astra Zeneca (MedImmune, Cambridge Antibody) Bicycle Therapeutics Limited Cambridge Cognition Cantab Biopharmaceuticals Domainex Endomagnetics Fluidic Analytics Horizon Discovery Group PLC Ionscope Ltd Johnson Matthey Lycotec Sareum Holdings Scientific Digital Imaging PLC Sphere Medical Holdings PLC TTP Labtech Tristel Vernalis 13 Sphere Medical - 3 additional US patents identified on Orbit using Assignee (original, intermediate, current and Reassignment field searching Mergers & Acquisitions • Vernalis / British Biotech / Ribo Targets Total 9154 simple patent families in the landscape
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t r a c t I n f o r m a t i o n L i m i t e d Cambridge: Life sciences – Patbase Analytics 14
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t r a c t I n f o r m a t i o n L i m i t e d • Remove inventor names • Remove variants of names • Decide on policy for ‒ handling patents with multiple assignees ‒ M&A name changes ‒ subsidiaries 15 Company Name Clean-up
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t r a c t I n f o r m a t i o n L i m i t e d Cambridge life sciences: technology spread 16
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t r a c t I n f o r m a t i o n L i m i t e d 17 Visualisations –patent families by assignee 0 1000 2000 3000 4000 5000 6000 no families 0 50 100 150 200 250 300 350 400 450 500 no families 0 10 20 30 40 50 60 70 80 90 100 no families 3 views showing large and small companies
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t r a c t I n f o r m a t i o n L i m i t e d Cambridge life sciences: timeline of patenting 18 • Priority year of family from 1980 • Year of grant of all patents from 1990
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t r a c t I n f o r m a t i o n L i m i t e d Interactive analysis of the landscape in IntellixIR 19
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t r a c t I n f o r m a t i o n L i m i t e d • Big data opportunities – open gov. initiatives – ‘linked data’ • Not just patents – other IP, scientific and commercial information • Improved name and location search and analysis in sources – E.g. priority information and publication (in – force) information • Landscaping standards – for search / data collection and reporting 20 Looking ahead
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t r a c t I n f o r m a t i o n L i m i t e d Extract Information Limited www.extractinfo.info jane@extractinfo.info “The real voyage of discovery consists not in seeking new landscapes, but in having new eyes.” Marcel Proust “Lies – damn lies – and statistics” often attributed to Benjamin Disraeli, the 19th century British Prime Minister 21
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t r a c t I n f o r m a t i o n L i m i t e d Questions? • Thank you: 22
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t r a c t I n f o r m a t i o n L i m i t e d Extract Information Limited www.extractinfo.info Jane List jane@extractinfo.info Consultancy Search Services Training Patent Information
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