MACHINE LEARNING PATENT LANDSCAPE with special focus on Medical Analytics

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1 MACHINE LEARNING PATENT LANDSCAPE with special focus on Medical Analytics Teqmine Demo Landscape INTRODUCING BIG DATA IPR INTELLIGENCE Demo

2 What you will discover in full Teqmine Technology Map Independent expert evaluation of your risk and strategic environment to support business development Comprehensive map and details on Emerging Trends, Business Dynamics Decision Support Data, including Freedom To Operate, Competition, Expected Rate of Patenting, and other critical business intelligence. Convince investors, your management or yourself with accurate and precise analytics Data and Evidence: Technology Trends. How big key technology areas are and what is expected rate of patenting. Key patents. List of patents that matter especially much to your technology and business. Key competitors. Translation, input suggestions, see also previous Data and Statistics. Consolidated evidence on sources of new technology by country, city, leading inventors, etc. Tools. Access and work with your map on line Visualization. Show where your patents are located and see where the competition is.

3 Machine Learning Patent Map Topic 7 Teqmine tools allow you to discover and document key patenting areas and technology trends clearly

4 TEQMINE APPROACH STAGE 1 7 million USPTO patents text mined for 'machine learning' in patent full text. Data Records: 23,947 STAGE 2 Verification of map focus Recordsfrom Stage 1 clustered into 15 Topics using Artificial Intelligence. Non relevant recoreds removed Final set: records. STAGE 3 Records 12,185 clustered into 10 areas STAGE 4 High accuracy identification of Client interest areas. Network visualization of patent landscape and final analysis. Online Results and Tools All Rights Reserved 2015

5 Machine Learning Technology Trend Machine Learning is rapidly expanding technology and growth is likely to increase *Teqmine Estimate based on current expected patenting rate Note: Data includes Grants , Applications

6 Machine Learning Patent Race Among Tech Giants, Patent Race is materializing among Tech Giants Machine Learning. Incumbents and newcomers are solidifying their patent positions *Teqmine Estimate based on current expected patenting rate Note: Data includes Grants , Applications

7 Machine Learning Main Technology Areas Teqmine uses AI to divide fulltext patents into easily recognized technology areas (topics) Machine Learning data is broken into 10 Topic Areas Unsupervised discovery can be enhanced with trained classification, e.g. IPC classes or expert evaluation Innovation frontier is migrating from data science to business and application areas Key Technology Areas for ML are: Query technology. Databases, cognitivie data, information retrieval, learning Classification. Meta data generation, training. See also previous Text processing. Translation, input suggestions, see also previous Sensors. In /output, data processing, smart systems, traffic, IoT. Image/s. Detection, recognition classification, meta data Location based services. Navigation, Mapping, geo tagging, etc. Medical analytics. Patient treatment, public health models, analytic processes, predictive diagnostics Emerging areas: Fintech, Vehicles

8 Machine Learning Technology Trends by Topic Topic 1 Sensors, IoT Topic 2 Classification Topic 7 Medical analysis Topic 8 Query & Search *three months of data

9 Machine Learning Patent Map Position Medical Machine Learning Patents Machine Learning for C Hepatitis, 2016 Physiological Monitoring Devices and Methods Using Optical Sensors, 2016 System and Method For Identity Confirmation Using Physiologic Biometrics to Determine A Physiologic Fingerprint, 2016 Teqmine tools allow you to illustrate the position of your undisclosed inventions and patents, and compare to competitors

10 Key Assignees Topic 7 Machine Learning in Medical Analytics Business / Product driven patenting to increase quickly Key players look to solidify patent positions and accelerate innovation Patent risks to increase in the near future

11 Inventor Countries Topic 7 Machine Learning in Medical Analytics The US is innovation leader Innovation in Medical Machine Learning will be a global phenomenon in the near future. Ireland, Canada, Germany, and the Netherlands are especially important sources of new inventions in the next few years

12 Contact and more info Hannes Toivanen Tel Teqmine Analytics Pasilanraitio Helsinki Finland

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