II-PIC 2017: Product Presentation LexisNexis
•
1 like•1,032 views
II-PIC 2017: Product Presentation LexisNexis
Report
Share
Report
Share
Download to read offline
Recommended
II-PIC 2017: To err is human – growing in experience as a patent information ...
Stephen Adams (Magister Ltd., UK)
Many people who start in patent information work believe that it is possible to become fully competent simply by gathering new facts about search sources, platforms or procedures. Whilst this sort of knowledge certainly contributes to growing competence, it is not sufficient in itself. The truly experienced professional is one who has been doing the job long enough to have encountered a variety of exceptions to the normal rules of search and retrieval, and who has learnt to identify and circumvent errors in an informed way. In short, experience is gained more by making mistakes, and recovering from them, than it is by proceeding smoothly through the challenges of a routine search. This presentation will give some examples of what a good searcher needs to have in their skill set, and why formal education will never prepare you for every eventuality
II-PIC 2017: Gain insight into technical, legal and business information thro...
Feinäugle Roland (European Patent Office, Austria)
A recent study commissioned by the EPO on the involvement of (patent) information in the innovation process in industry underlines the role of patent information in the various innovation stages. This result gives further impetus to the EPO's patent information strategy, aimed at supporting the economy by providing the access to a wealth of patent-related information, be it from its own patent granting process or its collection of worldwide bibliographic, legal status, procedural and full-text data.
In the presentation we highlight some key findings of the study and give an overview of the EPO’s patent information products and services. We will discuss how they can be used for technology-specific searches, for getting insight into the legal and procedural status of an application during and after its grant procedure, and for the statistical analysis of bulk data for business intelligence purposes. The talk covers the EPO’s free-of-charge Espacenet as well as our flagship product PATSTAT, both with a worldwide coverage. It also highlights the ever-improving European Patent Register and its accompanying services as well as our RESTful Open Patent Services.
II-PIC 2017: Gain insight into technical, legal and business information thro...
Feinäugle Roland (European Patent Office, Austria)
A recent study commissioned by the EPO on the involvement of (patent) information in the innovation process in industry underlines the role of patent information in the various innovation stages. This result gives further impetus to the EPO's patent information strategy, aimed at supporting the economy by providing the access to a wealth of patent-related information, be it from its own patent granting process or its collection of worldwide bibliographic, legal status, procedural and full-text data.
In the presentation we highlight some key findings of the study and give an overview of the EPO’s patent information products and services. We will discuss how they can be used for technology-specific searches, for getting insight into the legal and procedural status of an application during and after its grant procedure, and for the statistical analysis of bulk data for business intelligence purposes. The talk covers the EPO’s free-of-charge Espacenet as well as our flagship product PATSTAT, both with a worldwide coverage. It also highlights the ever-improving European Patent Register and its accompanying services as well as our RESTful Open Patent Services.
II-PIC 2017: The Use of Patent Information for Innovation and Competitive Int...
Greg Harrop-Griffiths (minesoft, UK)
Patent data is a critical source of information to stimulate innovation and for competitive intelligence. Patents are often the first and only source of disclosure of a new invention and hence, ignoring them will only delay innovation and give an incomplete competitive intelligence picture.
Delivered from the perspective of an experienced patent analyst, we will use case studies to describe the use of patent data to compile a competitive landscape, to stimulate innovation by learning from others and to help identify valuable IP in a portfolio. We will discuss the challenges in using patents for competitive intelligence and the recent innovative features and functionality in PatBase which can help, including:
Using thesauri, semantic and non-patent literature searching to compile a comprehensive competitive landscape
The use of Analytics for customised, multidimensional analysis and to visually compare multiple datasets.
Text-mining to automatically identify and highlight concepts within any full text patent.
Citation analysis to identify key competitors, collaborators or potential infringers.
This presentation will demonstrate how any user can benefit from the innovative features and functionality in PatBase to interrogate and visualize the competitive landscape for any technical area.
II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...
Parthiban Srinivasan (VINGYANI, India)
When new technologies become easier to use, they transform industries. That's what's happening with artificial intelligence (AI) and big data. Machine learning is often described as a type of AI where computers learn to do something without being programmed to do it. Deep learning, a subset of machine learning, is proving to work especially well on classification. Big breakthroughs happen when what is suddenly possible meets what is desperately needed. For years, patent analysts have been searching and reviewing terabytes of information, not only patents but also non-patent information. Not only to find prior art but also to identify patents of interest, rate their quality, assess the potential value of patent clusters, and identify potential business partners or infringers. With the rapid increase in the number of patent documents worldwide, demand for their automatic clustering/categorization has grown significantly. Many information science researchers have started to experiment with machine learning tools, but the adoption in the patent information space has been sporadic. In this talk, we aim to review the prevailing machine learning techniques and present several sample implementations by various research groups. We will also discuss how data science compares with machine learning, deep learning, AI, statistics and applied mathematics.
Recommended
II-PIC 2017: To err is human – growing in experience as a patent information ...
Stephen Adams (Magister Ltd., UK)
Many people who start in patent information work believe that it is possible to become fully competent simply by gathering new facts about search sources, platforms or procedures. Whilst this sort of knowledge certainly contributes to growing competence, it is not sufficient in itself. The truly experienced professional is one who has been doing the job long enough to have encountered a variety of exceptions to the normal rules of search and retrieval, and who has learnt to identify and circumvent errors in an informed way. In short, experience is gained more by making mistakes, and recovering from them, than it is by proceeding smoothly through the challenges of a routine search. This presentation will give some examples of what a good searcher needs to have in their skill set, and why formal education will never prepare you for every eventuality
II-PIC 2017: Gain insight into technical, legal and business information thro...
Feinäugle Roland (European Patent Office, Austria)
A recent study commissioned by the EPO on the involvement of (patent) information in the innovation process in industry underlines the role of patent information in the various innovation stages. This result gives further impetus to the EPO's patent information strategy, aimed at supporting the economy by providing the access to a wealth of patent-related information, be it from its own patent granting process or its collection of worldwide bibliographic, legal status, procedural and full-text data.
In the presentation we highlight some key findings of the study and give an overview of the EPO’s patent information products and services. We will discuss how they can be used for technology-specific searches, for getting insight into the legal and procedural status of an application during and after its grant procedure, and for the statistical analysis of bulk data for business intelligence purposes. The talk covers the EPO’s free-of-charge Espacenet as well as our flagship product PATSTAT, both with a worldwide coverage. It also highlights the ever-improving European Patent Register and its accompanying services as well as our RESTful Open Patent Services.
II-PIC 2017: Gain insight into technical, legal and business information thro...
Feinäugle Roland (European Patent Office, Austria)
A recent study commissioned by the EPO on the involvement of (patent) information in the innovation process in industry underlines the role of patent information in the various innovation stages. This result gives further impetus to the EPO's patent information strategy, aimed at supporting the economy by providing the access to a wealth of patent-related information, be it from its own patent granting process or its collection of worldwide bibliographic, legal status, procedural and full-text data.
In the presentation we highlight some key findings of the study and give an overview of the EPO’s patent information products and services. We will discuss how they can be used for technology-specific searches, for getting insight into the legal and procedural status of an application during and after its grant procedure, and for the statistical analysis of bulk data for business intelligence purposes. The talk covers the EPO’s free-of-charge Espacenet as well as our flagship product PATSTAT, both with a worldwide coverage. It also highlights the ever-improving European Patent Register and its accompanying services as well as our RESTful Open Patent Services.
II-PIC 2017: The Use of Patent Information for Innovation and Competitive Int...
Greg Harrop-Griffiths (minesoft, UK)
Patent data is a critical source of information to stimulate innovation and for competitive intelligence. Patents are often the first and only source of disclosure of a new invention and hence, ignoring them will only delay innovation and give an incomplete competitive intelligence picture.
Delivered from the perspective of an experienced patent analyst, we will use case studies to describe the use of patent data to compile a competitive landscape, to stimulate innovation by learning from others and to help identify valuable IP in a portfolio. We will discuss the challenges in using patents for competitive intelligence and the recent innovative features and functionality in PatBase which can help, including:
Using thesauri, semantic and non-patent literature searching to compile a comprehensive competitive landscape
The use of Analytics for customised, multidimensional analysis and to visually compare multiple datasets.
Text-mining to automatically identify and highlight concepts within any full text patent.
Citation analysis to identify key competitors, collaborators or potential infringers.
This presentation will demonstrate how any user can benefit from the innovative features and functionality in PatBase to interrogate and visualize the competitive landscape for any technical area.
II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...
Parthiban Srinivasan (VINGYANI, India)
When new technologies become easier to use, they transform industries. That's what's happening with artificial intelligence (AI) and big data. Machine learning is often described as a type of AI where computers learn to do something without being programmed to do it. Deep learning, a subset of machine learning, is proving to work especially well on classification. Big breakthroughs happen when what is suddenly possible meets what is desperately needed. For years, patent analysts have been searching and reviewing terabytes of information, not only patents but also non-patent information. Not only to find prior art but also to identify patents of interest, rate their quality, assess the potential value of patent clusters, and identify potential business partners or infringers. With the rapid increase in the number of patent documents worldwide, demand for their automatic clustering/categorization has grown significantly. Many information science researchers have started to experiment with machine learning tools, but the adoption in the patent information space has been sporadic. In this talk, we aim to review the prevailing machine learning techniques and present several sample implementations by various research groups. We will also discuss how data science compares with machine learning, deep learning, AI, statistics and applied mathematics.
II-PIC 2017: Optimizing R&D strategy through organized patent database
Gouraj Yadav (Hourglass Research, India)
With growing competition and the constant fear of being struck by disruption, it’s becoming increasingly tougher for corporate R&D departments to strategize research vis-à-vis stringent budgets. Avoiding re-inventing the wheel further poses to be an on-going challenge. In-house IP teams today largely adopt a reactive approach in which they tap ideas and inventions resulting from R&D and pursue patent protection. It would be beneficial if IP teams provide a proactive assistance to R&D teams and assist them in channeling R&D in the right direction. The presentation discusses how in-house IP teams can build an organized patent information database for R&D teams and guide them. The database can act as a common platform for which the R&D folks can have easy access to get the required technical information. Inventors can benefit from the insights received through such an organized database and can better understand the existing state-of-the-art. The presentation further discusses ways in which the database can be exploited for taking strategic R&D decisions.
II-PIC 2017: Navigating through the Biotech patent information in India
Vidya Subramanian (Reliance Life Sciences, India)
India has been in forefront by providing health care products at an affordable price. The success of Pharmaceutical generics showcases the significance of effective patent searching and data mining. The emerging Biotech era has posed many challenges to comprehensive patent search. The nuances in patent searching in life science domain opens a plethora of aspects that one needs to delve in seeking accurate information. The Biotech patent information remains largely scattered as opposed to the organised analysis of patents available to chemical domain. The collation of information and the complexity begins right from the structure of the molecule to the final mechanism of action of these products. A cursory review of the aspects of searching life sciences patents enables one to evolve an insightful search.
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
Analysis and visualisation of a “galaxy” of patent data can present challenges in being able to spot the “stars”. Being able to drawn meaningful conclusions from any patent landscape relies on the quality and comprehensiveness of the data input, as well as having features and functionality to visualize the landscape accurately and being able to focus on an area of interest.
Delivered from the perspective of an experienced patent analyst, we will use case studies to discuss the challenges in creating a meaningful patent landscape and the recent innovative features and functionality in PatBase which can help, including:
Using Analytics for customised, multidimensional analysis and to visually compare multiple datasets.
Text-mining to automatically identify and highlight chemical, physical, genetic and medical concepts within any full text patent.
Being able to efficiently identify the exact location of a chemical entity anywhere in the full text.
The ability to easily review and filter patent citations based on their relevance, origin and assignee.
This presentation will demonstrate how any user can benefit from the innovative features and functionality in PatBase to interrogate and visualize the patent landscape for any technical area.
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
Jochen Lennhof (Minesoft, Germany)
Patent data is a critical source of information to stimulate innovation and for competitive intelligence. Patents are often the first and only source of disclosure of a new invention and hence, ignoring them will only delay innovation and give an incomplete competitive intelligence picture.
Delivered from the perspective of a patent analyst, we will use case studies to describe the use of patent data to compile a competitive landscape, to stimulate innovation by learning from others and to help identify valuable IP in a portfolio. We will discuss the challenges in using patents for competitive intelligence and the recent innovative features and functionality in PatBase which can help, including:
Using thesauri, semantic and non-patent literature searching to compile a comprehensive competitive landscape.
The use of Analytics for customised, multidimensional analysis and to visually compare multiple datasets.
Text-mining to automatically identify and highlight concepts within any full text patent.
Citation analysis to identify key competitors, collaborators or potential infringers.
This presentation will demonstrate how any user can benefit from the innovative features and functionality in PatBase to interrogate and visualize the competitive landscape for any technical area.
AI-SDV 2021: Dolcera
Founded in 2004 by a group of business & technology entrepreneurs and inventors, Dolcera is a next generation patent and information analytics company. Our proprietary patent search strategy and domain expertise combined with our game changing AI/ML driven tools like PCS and E-Search enable us to offer top notch patent search and analytics services to our diverse clientele in key decision-making areas of IP strategy & creation, litigation, portfolio analysis, competitive intelligence, product development and licensing.
Our AI- driven tools and services include:
Dolcera PCS – A deep-learning driven superfast patent search engine that offers domain specific Semantic and taxonomy-oriented search capabilities for Patent portfolio analysis, Prior Art, Invalidation and licensing searches.
Dolcera Machine learning for Auto-categorization – The transparent, customizable system solves the problem of human bias or comprehension of a patent when classifying them by leveraging proprietary Dolcera AI/ML. The system gives complete control to the user to deliver highly accurate categorized documents with a quick turn around.
Dolcera Enterprise Search (E-Search) – Dolcera Enterprise Search is a machine learning enabled enterprise-wide search engine integrated with various value added features and smart charts. The application uses patent documents, scientific literature, product information or generally other technical documents inside a company. The system lets users have access to all the related files with minimal clicks to generate actionable insights.
Dolcera ETSI Dashboard – A collection of SEP from various technologies and various specifications updated regularly + PCS (AI driven patent search tool) links the SEPs declared under the specific technical standards & visualize the information for.
Our bespoke services include IP research, technical review, business research and newsletter alerts which help our clients make key strategic decisions in relation to:
Choosing the right technology
Filing & protecting the right IP
Standard mapping and claim charting
Product enhancement
IP, technical & business landscapes
Competitive intelligence
Regulatory landscape
The amalgamation of Dolcera’s AI driven tools, IP services & market research capabilities have time and again assisted our clients in managing their IP & non-IP assets systematically, while enhancing their overall decision-making process.
For further information visit: www.dolcera.com
Our Global presence:
USA: California, Chicago
Europe: Germany, UK
Asia: India, China
II-SDV 2017: Gridlogics Technologies
Gridlogics is a leading provider of products and custom software solutions for patent research, management, data analysis and project management. Our products leverage the latest techniques in information retrieval, data mining and visualizations to help clients globally in deriving actionable intelligence from the masses of patent data.
II-SDV 2017: Approaches of Web Information Analysis in a Day to Day Work Envi...
Web scraping, content filtering, tagging and feeding web data into the day to day work environment takes many different shapes and requires an additional software stack that is blending well with existing big data analysis, text analysis and search technology.
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
The valuation of intellectual property is becoming an increasingly important component of realising return on R&D; investment, overall business strategy and IP portfolio management. Like other forms of property, the value of intellectual property is determined by what the buyer is prepared to pay for its perceived value, and what the seller is willing to accept. This is ultimately decided by negotiation. However, there is much that can be done to substantiate the value in support of the position of either the seller or the buyer. From the seller’s viewpoint, being able to place the IP accurately on the competitive landscape is critical to establishing how important the IP is, and hence its perceived market value. On the buyer’s side, the accurate assessment of the market position held by the IP on the technology landscape against competition will help determine whether this is a blocking technology, or whether it can ultimately be worked around. This is a combination of science and art. There are also special considerations to be factored in for the chemical technology space. In all cases, IP information and analysis tools play a central role in providing support for valuation of IP. This presentation will use a case study approach to examine the issues and provide insight into how organizations can more accurately assess the importance of their IP, and hence the current and potential market value of that IP.
II-SDV 2017: What is Innovation and how can we measure it?
Innovation means many different things to many people. Ask five people and you will likely get ten answers. But all agree that it is a key driver behind the success of organizations, the growth of economies and provides major contributions in addressing global problems. This presentation will examine various analytical methods and possible metrics for measuring innovation and determining relative performance of organizations. The challenges involved in assessing innovation and how these can be addressed will be explored. The pros and cons associated with the metrics identified will also be discussed with a view to identifying a practical method for assessing innovation.
ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...
Stefan Geißler (Expert System Deutschland, Germany)
Tim Schloen (Fraunhofer IAO Stuttgart, Germany)
Trying to keep up to date with developments, trends and opportunities even in narrow domains involves digesting and considering large amounts of textual information and often is beyond the reading capabilities of human experts. Large organisations may be able to cope with this challenge with dedicated analysis teams, but SMEs are overcharge with this information load.
Under the label „Technology Scouting“ we present an approach to employ modern semantic technologies and artificial intelligence to (semi) automate the collection, analysis and reporting of large document collections in a way that allows to derive important insights for technology-driven companies: Which technologies and markets are emerging or moving, how do my clients, partners and competitors operate?
After an introduction to the technological and methodological basis, we present experiences from past industry engagements where this aproach has be applied in production.
ICIC 2014 Patent Citation Analysis: Tools and Techniques
Cited references and citing references link patent documents through time and by subject. As citations do not depend on text search, they can be particularly useful for identifying patents from the Asian languages. Using forward and backward citations can enhance subject retrieval and provide added competitor information. Tools for searching and viewing patent citations, both forwards and backwards are now standard on most commercial patent information platforms. An overview of these will be presented. When using patent citations for search and analysis, it’s important to understand their origin. I will start by going back to basics and present an overview of the different types of patent citations, and how to use them wisely.
IC-SDV 2018: Search Technology / VanatagePoint
The Meeting
Programme
Networking Programme
Speakers 2018
Call for Papers
Registration
Attendees 2018
Why should you attend
The Venue Hotel
Sponsors
Exhibition
Exhibitors
Search Technology VantagePoint
II-SDV Photos Nice 2017
II-SDV 2017
II-SDV 2016
II-SDV 2015
II-SDV 2014
II-SDV 2013
II-SDV 2012
SPEAKERS SINCE 2012
Keep me informed
concerning the II-SDV meeting
ICIC Website
II-PIC Website
Search Technology VantagePoint
For over 30 years, Search Technology, Inc. has helped our customers turn information into knowledge. We provide software tools and services that extract more value from patent, scientific, technical and business databases. Our primary product, VantagePoint, helps you rapidly understand and navigate through search results, giving you a better perspective - a better vantage point - on your information. Discover why many of today’s Fortune 100 companies use VantagePoint to help them succeed. VantagePoint is Serious Software for Serious Professionals.
More Related Content
What's hot
II-PIC 2017: Optimizing R&D strategy through organized patent database
Gouraj Yadav (Hourglass Research, India)
With growing competition and the constant fear of being struck by disruption, it’s becoming increasingly tougher for corporate R&D departments to strategize research vis-à-vis stringent budgets. Avoiding re-inventing the wheel further poses to be an on-going challenge. In-house IP teams today largely adopt a reactive approach in which they tap ideas and inventions resulting from R&D and pursue patent protection. It would be beneficial if IP teams provide a proactive assistance to R&D teams and assist them in channeling R&D in the right direction. The presentation discusses how in-house IP teams can build an organized patent information database for R&D teams and guide them. The database can act as a common platform for which the R&D folks can have easy access to get the required technical information. Inventors can benefit from the insights received through such an organized database and can better understand the existing state-of-the-art. The presentation further discusses ways in which the database can be exploited for taking strategic R&D decisions.
II-PIC 2017: Navigating through the Biotech patent information in India
Vidya Subramanian (Reliance Life Sciences, India)
India has been in forefront by providing health care products at an affordable price. The success of Pharmaceutical generics showcases the significance of effective patent searching and data mining. The emerging Biotech era has posed many challenges to comprehensive patent search. The nuances in patent searching in life science domain opens a plethora of aspects that one needs to delve in seeking accurate information. The Biotech patent information remains largely scattered as opposed to the organised analysis of patents available to chemical domain. The collation of information and the complexity begins right from the structure of the molecule to the final mechanism of action of these products. A cursory review of the aspects of searching life sciences patents enables one to evolve an insightful search.
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
Analysis and visualisation of a “galaxy” of patent data can present challenges in being able to spot the “stars”. Being able to drawn meaningful conclusions from any patent landscape relies on the quality and comprehensiveness of the data input, as well as having features and functionality to visualize the landscape accurately and being able to focus on an area of interest.
Delivered from the perspective of an experienced patent analyst, we will use case studies to discuss the challenges in creating a meaningful patent landscape and the recent innovative features and functionality in PatBase which can help, including:
Using Analytics for customised, multidimensional analysis and to visually compare multiple datasets.
Text-mining to automatically identify and highlight chemical, physical, genetic and medical concepts within any full text patent.
Being able to efficiently identify the exact location of a chemical entity anywhere in the full text.
The ability to easily review and filter patent citations based on their relevance, origin and assignee.
This presentation will demonstrate how any user can benefit from the innovative features and functionality in PatBase to interrogate and visualize the patent landscape for any technical area.
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
Jochen Lennhof (Minesoft, Germany)
Patent data is a critical source of information to stimulate innovation and for competitive intelligence. Patents are often the first and only source of disclosure of a new invention and hence, ignoring them will only delay innovation and give an incomplete competitive intelligence picture.
Delivered from the perspective of a patent analyst, we will use case studies to describe the use of patent data to compile a competitive landscape, to stimulate innovation by learning from others and to help identify valuable IP in a portfolio. We will discuss the challenges in using patents for competitive intelligence and the recent innovative features and functionality in PatBase which can help, including:
Using thesauri, semantic and non-patent literature searching to compile a comprehensive competitive landscape.
The use of Analytics for customised, multidimensional analysis and to visually compare multiple datasets.
Text-mining to automatically identify and highlight concepts within any full text patent.
Citation analysis to identify key competitors, collaborators or potential infringers.
This presentation will demonstrate how any user can benefit from the innovative features and functionality in PatBase to interrogate and visualize the competitive landscape for any technical area.
AI-SDV 2021: Dolcera
Founded in 2004 by a group of business & technology entrepreneurs and inventors, Dolcera is a next generation patent and information analytics company. Our proprietary patent search strategy and domain expertise combined with our game changing AI/ML driven tools like PCS and E-Search enable us to offer top notch patent search and analytics services to our diverse clientele in key decision-making areas of IP strategy & creation, litigation, portfolio analysis, competitive intelligence, product development and licensing.
Our AI- driven tools and services include:
Dolcera PCS – A deep-learning driven superfast patent search engine that offers domain specific Semantic and taxonomy-oriented search capabilities for Patent portfolio analysis, Prior Art, Invalidation and licensing searches.
Dolcera Machine learning for Auto-categorization – The transparent, customizable system solves the problem of human bias or comprehension of a patent when classifying them by leveraging proprietary Dolcera AI/ML. The system gives complete control to the user to deliver highly accurate categorized documents with a quick turn around.
Dolcera Enterprise Search (E-Search) – Dolcera Enterprise Search is a machine learning enabled enterprise-wide search engine integrated with various value added features and smart charts. The application uses patent documents, scientific literature, product information or generally other technical documents inside a company. The system lets users have access to all the related files with minimal clicks to generate actionable insights.
Dolcera ETSI Dashboard – A collection of SEP from various technologies and various specifications updated regularly + PCS (AI driven patent search tool) links the SEPs declared under the specific technical standards & visualize the information for.
Our bespoke services include IP research, technical review, business research and newsletter alerts which help our clients make key strategic decisions in relation to:
Choosing the right technology
Filing & protecting the right IP
Standard mapping and claim charting
Product enhancement
IP, technical & business landscapes
Competitive intelligence
Regulatory landscape
The amalgamation of Dolcera’s AI driven tools, IP services & market research capabilities have time and again assisted our clients in managing their IP & non-IP assets systematically, while enhancing their overall decision-making process.
For further information visit: www.dolcera.com
Our Global presence:
USA: California, Chicago
Europe: Germany, UK
Asia: India, China
II-SDV 2017: Gridlogics Technologies
Gridlogics is a leading provider of products and custom software solutions for patent research, management, data analysis and project management. Our products leverage the latest techniques in information retrieval, data mining and visualizations to help clients globally in deriving actionable intelligence from the masses of patent data.
II-SDV 2017: Approaches of Web Information Analysis in a Day to Day Work Envi...
Web scraping, content filtering, tagging and feeding web data into the day to day work environment takes many different shapes and requires an additional software stack that is blending well with existing big data analysis, text analysis and search technology.
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
The valuation of intellectual property is becoming an increasingly important component of realising return on R&D; investment, overall business strategy and IP portfolio management. Like other forms of property, the value of intellectual property is determined by what the buyer is prepared to pay for its perceived value, and what the seller is willing to accept. This is ultimately decided by negotiation. However, there is much that can be done to substantiate the value in support of the position of either the seller or the buyer. From the seller’s viewpoint, being able to place the IP accurately on the competitive landscape is critical to establishing how important the IP is, and hence its perceived market value. On the buyer’s side, the accurate assessment of the market position held by the IP on the technology landscape against competition will help determine whether this is a blocking technology, or whether it can ultimately be worked around. This is a combination of science and art. There are also special considerations to be factored in for the chemical technology space. In all cases, IP information and analysis tools play a central role in providing support for valuation of IP. This presentation will use a case study approach to examine the issues and provide insight into how organizations can more accurately assess the importance of their IP, and hence the current and potential market value of that IP.
II-SDV 2017: What is Innovation and how can we measure it?
Innovation means many different things to many people. Ask five people and you will likely get ten answers. But all agree that it is a key driver behind the success of organizations, the growth of economies and provides major contributions in addressing global problems. This presentation will examine various analytical methods and possible metrics for measuring innovation and determining relative performance of organizations. The challenges involved in assessing innovation and how these can be addressed will be explored. The pros and cons associated with the metrics identified will also be discussed with a view to identifying a practical method for assessing innovation.
ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...
Stefan Geißler (Expert System Deutschland, Germany)
Tim Schloen (Fraunhofer IAO Stuttgart, Germany)
Trying to keep up to date with developments, trends and opportunities even in narrow domains involves digesting and considering large amounts of textual information and often is beyond the reading capabilities of human experts. Large organisations may be able to cope with this challenge with dedicated analysis teams, but SMEs are overcharge with this information load.
Under the label „Technology Scouting“ we present an approach to employ modern semantic technologies and artificial intelligence to (semi) automate the collection, analysis and reporting of large document collections in a way that allows to derive important insights for technology-driven companies: Which technologies and markets are emerging or moving, how do my clients, partners and competitors operate?
After an introduction to the technological and methodological basis, we present experiences from past industry engagements where this aproach has be applied in production.
ICIC 2014 Patent Citation Analysis: Tools and Techniques
Cited references and citing references link patent documents through time and by subject. As citations do not depend on text search, they can be particularly useful for identifying patents from the Asian languages. Using forward and backward citations can enhance subject retrieval and provide added competitor information. Tools for searching and viewing patent citations, both forwards and backwards are now standard on most commercial patent information platforms. An overview of these will be presented. When using patent citations for search and analysis, it’s important to understand their origin. I will start by going back to basics and present an overview of the different types of patent citations, and how to use them wisely.
IC-SDV 2018: Search Technology / VanatagePoint
The Meeting
Programme
Networking Programme
Speakers 2018
Call for Papers
Registration
Attendees 2018
Why should you attend
The Venue Hotel
Sponsors
Exhibition
Exhibitors
Search Technology VantagePoint
II-SDV Photos Nice 2017
II-SDV 2017
II-SDV 2016
II-SDV 2015
II-SDV 2014
II-SDV 2013
II-SDV 2012
SPEAKERS SINCE 2012
Keep me informed
concerning the II-SDV meeting
ICIC Website
II-PIC Website
Search Technology VantagePoint
For over 30 years, Search Technology, Inc. has helped our customers turn information into knowledge. We provide software tools and services that extract more value from patent, scientific, technical and business databases. Our primary product, VantagePoint, helps you rapidly understand and navigate through search results, giving you a better perspective - a better vantage point - on your information. Discover why many of today’s Fortune 100 companies use VantagePoint to help them succeed. VantagePoint is Serious Software for Serious Professionals.
What's hot (20)
II-PIC 2017: Optimizing R&D strategy through organized patent database
II-PIC 2017: Optimizing R&D strategy through organized patent database
II-PIC 2017: Navigating through the Biotech patent information in India
II-PIC 2017: Navigating through the Biotech patent information in India
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
II-SDV 2017: Approaches of Web Information Analysis in a Day to Day Work Envi...
II-SDV 2017: Approaches of Web Information Analysis in a Day to Day Work Envi...
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
II-SDV 2017: What is Innovation and how can we measure it?
II-SDV 2017: What is Innovation and how can we measure it?
ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...
ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...
ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques
Similar to II-PIC 2017: Product Presentation LexisNexis
Fintech summit 2016 thomson reuters tim baker_presentation final
Tim Baker from Thomson Reuters at the 2nd Annual FinTech Summit 2016
Legal tech
Premonition.ai applies Artificial Intelligence and Machine Learning to the world’s largest litigation database. It developed the concept of attorney ‘win rates’ andis the most powerful and comprehensive tool in legal analytics.
Litigation support | premonition
Premonition.ai provides the best litigation support and a very, very unfair advantage over the others with the vast collection of court data from all over the country and around the world as well as its analysis capability.
Litigation Support | premonition
Premonition.ai provides the best litigation support and a very, very unfair advantage over the others with the vast collection of court data from all over the country and around the world as well as its analysis capability.
PatAnalyse presentation
PatAnalyse is in the business of delivering IP intelligence to its clients.
We take responsibility for finding the patent information required by our clients and then structure and make sense of it
To deliver a project we use a proprietary, comprehensive search management system to capture expert judgements and combine these with artificial intelligence analysis to produce a pre-analysed universe of data tailored exactly to each client’s needs
Our experience in technology consultancy allows us to provide an interpretation of the ‘competitive intelligence landscape’; our analysis is closely aligned to the client’s business strategy
Our client, as the user, first influences how the universe of patent data is gathered and structured and then can exploit it using the on-line patent management system provided by PatAnalyse
PatAnalyse Presentation
PatAnalyse Ltd (www.patanalyse.com) delivers investigative consultancy projects to answer specific IP related questions which address the strategic business needs of our clients and are critically dependent on the completeness of the patent searching results. We have developed revolutionary techniques for self-learning iteration patent searching. Within our tools the power of artificial intelligence algorithms is closely integrated with the judgement of subject area experts.
5 lexis nexis legal innovation powered by ai_min chen
Law Tech Innovation Legal Technology
Presentation-5
Big Data Analysis for Standard Essential Patents
The IPlytics Platform is an intelligence IP analytics SaaS. The IPlytics Platform uses big data frameworks to intelligently connect and analyze multiple data sources. The IPlytics Platform data sources cover over 80 million patent documents for 98 worldwide countries, over 60 million scientific articles, information regarding over 3 million companies, about 2 million standards documents from 96 standard setting organizations including over 200,000 standard essential patents (SEPs) declared at the major standard setting organizations (SSOs).
OpenText Legal Technology Solutions
Seamless end-to-end solutions to address challenging legal content management, litigation, investigations and compliance matters with confidence and speed
Mona Vernon - Using big data to crack B2B markets
Startupfest 2014 - "Techcrunch's Alex Williams once said, ""While the enterprise can be as boring as hell, the whole goddamn thing is paved with gold."" But how should an aspiring young startup crack open business-to-business markets that are insular, uncomfortable with experimentation, and intolerant of the kind of rapid iteration that fuels innovation?
As it turns out, there are plenty of ways for start ups to innovate in the business to business space, and many of them come from the world of Big Data. In this session, Thomson Reuters' Mona Vernon will look at how organizations of all sizes can leverage abundant data to transform markets. You'll learn:
- how big companies innovate
- why working with large corporations is different than selling directly to the consumers
- The advantages of working with large companies to solve their Big Data challenges
If you're a B2B-focused startup, you can't afford to miss this session."
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...
We present the latest developments around the Biopharma Navigator, a consolidated large search, analysis and reporting application for tens of millions of biomedical documents. In its latest version the application has expanded to include yet more document sources, is offering real-time data-driven dashboards, an enhanced API that facilitates integration into third-party environments, advances in expert identification, the extension of the pharmacovigilance approach to new sources from news and social media as well as live extension of drug name repositories and clinical trial monitoring.
The Biopharma Navigator is used by a growing number of experts in the industry for their daily analyses and can be employed either on a simple subscription basis or with an on-premise installation. The Biopharma Navigator is our answer for the question how big data, cognitive computing analysis and intuitive webfrontends can be combined to provide broad and up-to-date information access to Life Science professionals.
Artificial Intelligence and Law -
A Primer
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
Similar to II-PIC 2017: Product Presentation LexisNexis (20)
WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...
WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...
Fintech summit 2016 thomson reuters tim baker_presentation final
Fintech summit 2016 thomson reuters tim baker_presentation final
5 lexis nexis legal innovation powered by ai_min chen
5 lexis nexis legal innovation powered by ai_min chen
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...
More from Dr. Haxel Consult
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
Knowledge Graphs are an increasingly relevant approach to store detailed knowledge in many domains. Recent advances in NLP allow to enrich Knowledge Graphs through automated analysis of large volumes of literature, reducing a lot the efforts in traditional manual information capturing. In our presentation we report the approach taken in a project with partner Fraunhofer SCAI in the life sciences where a knowledge graph organising detailed facts about psychiatric diseases has been computed.
Information of cause-effect relations between proteins, genes, drugs and diseases has been encoded in the BEL (Biological Expression Language) and imported into a Graph database to approach an indication-wide Knowledge Graph for the selected therapeutic area. Ultimately, updating the graph will amount to just rerunning the analysis on the newly published literature.
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
In 2019 the UK was the first major economy to embrace a legal obligation to achieve net zero carbon emissions by 2050. More broadly, the 2021 UK Innovation Strategy sets out the UK government’s vision to make the UK a global hub for innovation by 2035 with a target of increasing public and private sector R&D expenditure to 2.4% of GDP to support the UK being a science superpower with a world-class research and innovation system.
IP rights create an incentive for R&D which ultimately leads to innovation. Analysis and insights from IP data can therefore help provide a better understanding of how the IP system is being used and where and what innovation is taking place. Research and analysis of IP data is a key input to the ongoing work of the UKIPO’s Green Tech Working Group which seeks to:
further the UK’s status as a global leader by making the UK’s IP environment the best for innovating green technology;
develop and deliver IP policies to support government’s ambition on climate change and green technologies; and
to help innovators best protect and commercialise their green tech innovations both at home and internationally.
The UKIPO has been developing a broad portfolio of ‘green’ IP analytics research. A series of patent analytics reports have been published looking at green technologies, and analysis of how the UK’s Green Channel scheme for accelerated processing of green patent applications has been conducted. Patents have been used to identify technological comparative advantage within different green technologies at a country level, and new insights uncovered by mapping green technology patents to the UN Sustainable Development Goals (SDGs). Trade mark data provides a timeliness and closeness to market factor that patent data does not, and complementary trade mark analysis of UK ‘green’ trade marks, identified using a machine learning algorithm, provides a commercialisation angle to our research.
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
Word embeddings, deep learning, transformer models and other pre-trained neural language models (sometimes recently referred to as "foundational models") have fundamentally changed the way state-of-the-art systems for natural language processing and information access are built today. The "Data-to-Value" process methodology (Leidner 2013; Leidner 2022a,b) has been devised to embody best practices for the construction of natural language engineering solutions; it can assist practitioners and has also been used to transfer industrial insights into the university classroom. This talk recaps how the methodology supports engineers in building systems more consistently and then outlines the changes in the methodology to adapt it to the deep learning age. The cost and energy implications will also be discussed.
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
In the patent domain, all types of issues, from very specific search requirements to the linguistic characteristics of the text domain, are accentuated. Consequently, to develop patent text mining tools for scientists and patent experts, we need to understand their daily work tasks, as well as the linguistic character of the text genre (i.e., patentese). Patent text is a mixture of legal and domain-specific terms. In processing technical English texts, a multi-word unit method is often deployed as a word-formation strategy to expand the working vocabulary, i.e., introducing a new concept without the invention of an entirely new word. This productive word formation is a well-known challenge for traditional natural language processing tools utilizing supervised machine learning algorithms due to limited domain-specific training data. Deep learning technologies have been introduced to overcome the reduction in performance of traditional NLP tools. In the Artificial Researcher technologies, we have integrated explicit and implicit linguistic knowledge into the deep learning algorithms, essential for domain-specific text mining tools. In this talk, we will present a step-by-step process of how we have developed the mentioned text mining tools. For the final outline, we will also demonstrate how these tools can be integrated in a cross-genre passage retrieval system, based on a technology from 2016 that still holds the state-of-the-art within the patent text mining research community in 2022.
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
In 2013 we witnessed an evolutionary change in the NLP field evolved thanks to the introduction of space embeddings that, with the use of deep learning architectures, achieved human-level performances in many NLP tasks. With the introduction of the Attention mechanism in 2017 the results were further improved and, as result, embeddings are quickly becoming the de facto standards in solving many NLP problems. In this presentation, you will learn how generate and use space embedding for search purposes and provide comparison metrics to more traditional relevance-based search engines. Moreover, I will provide some initial results on a paper currently under review that provides an insight on hyperparameter tuning during the generation of embeddings.
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
10 years in the making. How real-world business cases have driven the development of CCC's deep search solutions, leading to the capabilities for web-crawling and delivery of targeted intelligence that helps R&D; intensive companies gain a competitive advantage.
AI-SDV 2022: Machine learning based patent categorization: A success story in...
Machine learning based patent categorization: A success story in monitoring a complex technology with high patenting activity
Susanne Tropf (Syngenta, Switzerland)
Kornel Marko (Averbis, Germany)
AI-SDV 2022: Machine learning based patent categorization: A success story in...
Machine learning based patent categorization: A success story in monitoring a complex technology with high patenting activity
Susanne Tropf (Syngenta, Switzerland)
Kornel Marko (Averbis, Germany)
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
It is relatively easy for a human to read a document and quickly figure out which concepts are important. However, this task is a difficult challenge for a machine. During the past few decades, there have been two main approaches for concept identification: Natural Language Processing and Machine Learning. During the early part of this century, Machine Learning made great strides as new techniques came into wider use (SVM’s, Topic Modeling, etc..). Sensing the competition, Natural Language Processing responded with deployment of new emerging techniques (sematic networks, finite state automata, etc..). Neither approach has completely solved the WHAT problem. Advances in Artificial Intelligence have the potential to significantly improve the situation. Where AI is making the most impact is as an enhancement to make Machine Learning and Natural Language Processing work better and, more importantly, work together. This presentation looks at some of this history and what might happen in the future when we blend the interpretation of language with pattern prediction.
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
Trademarks serve as key leading indicators for innovation and economic growth. As the vanguards of new and expanding enterprises, trademarks can be used to study entrepreneurship and shifting market demands in response to varying economic factors. This responsiveness has been seen as recently as the COVID-19 pandemic, where trademark research revealed key insights about business reaction to the global upheaval.
At CIPO, we have been delving more deeply than ever before into trademark analysis by leveraging cutting-edge natural language processing (NLP) tools to derive actionable business intelligence from trademark data. In this presentation, we present a survey of NLP in use at CIPO and the insights we have learned applying them. These insights include COVID-19 responses, line-of-business trends based on firm characteristics, and more.
We also discuss ongoing and future trademark research projects at CIPO. These projects include emerging technology detection methods and high-resolution trademark classification systems. We conclude that artificial intelligence-enhanced tools like NLP are key components of future exploitation of trademark data for business and economic intelligence.
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
In our customer projects involving automated document processing, we often encounter document types providing crucial data in the form of tables. While established text analytics algorithms are usually optimized to operate on running text, they tend to produce rather poor results on tables as they do not capture the non-sequential relations inside them (e.g. interpret the content of a table cell relative to its column title, interpret line breaks inside a cell differently from line breaks between cells or rows). While there are elaborate information extraction products in the market for a few highly specific types of tabular documents, there is no general approach out there. The main cause for this is the fact that table structures can be encoded by a heterogenous range of layout means (e.g. column boundaries can be signaled by lines vs. aligned text vs. white space). In this talk, we will illustrate several solutions that we have developed for a range of challenges occurring in this context, both for scanned and digitally generated documents.
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
Most scientific journals request, that the complete set of research data is published simultaneously with the peer-reviewed paper. The publication of the research data usually is carried out as so-called "Supplementary Material", attached to the original paper, or on a "Research Data Repository". Both forms have in common, that the data is published usually unstructured and not in an uniform machine processable format. This makes its further use in electronic tools for AI or data mining unnecessarily difficult or even impossible. A concept is presented, in which the data is digitally recorded, following the principle of FAIR data, as part of the publication process. This digital capture makes the data available to the scientific community for easy use in data mining and AI tools. The data in the repository contains links to the publication to document its origin. The concept is applicable for preprints, peer-review papers, diploma and doctoral theses and is particularly suitable for open access publications. Moreover, the presentation highlights correspondent activities, which were released in scientific publications recently.
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI developments and usability
Linus Wretblad (IPscreener / Uppdragshuset, SE)
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
How do you find video when you only have sparse data? While you can wander the stacks (if you can still find open stacks) for inspiration, video either physical or digital, is difficult to discover. Wandering the virtual stacks is, well, virtually impossible. Discovery platforms on the whole have not replicated the inspirational experience of wandering the stacks.
More companies are using archivable video for internal communication of the various research projects, product developments, test results, and more that are being considered, in progress, or completed. Showing how an experiment was conducted can convey considerably more information that is very difficult to communicate via text. How do you find a company video that might be helpful for your project?
A case study is presented of the problems and the solutions that were implemented by a large, multinational chemical company. A suite of content discovery technologies was used including a video to text to tagging system connected to their documents database and automatically indexed using several chemical as well as conceptual systems (rule-based, NLP, inference engine). To build the system and support the manuscript and video submission there is a metadata extraction program which pulls and inserts the metadata into the submission forms so the author can move quickly through that process.
AI-SDV 2022: Copyright Clearance Center
Copyright Clearance Center
A pioneer in voluntary collective licensing, CCC (Copyright Clearance Center) helps organizations integrate, access, and share information through licensing, content, software, and professional services. With expertise in copyright and information management, CCC and its subsidiary RightsDirect collaborate with stakeholders to design and deliver innovative information solutions that power decision-making by helping people integrate and navigate data sources and content assets. CCC recently acquired the assets and technology of Deep SEARCH 9 (DS9), a knowledge management platform that leverages machine learning to help customers perform semantic search, tag content, and discover new insights.
AI-SDV 2022: Lighthouse IP
Lighthouse IP is the world’s leading provider of intellectual property content. The core business of Lighthouse IP is sourcing and creating content from the world’s most challenging authorities. Specialized in IP data, Lighthouse IP provides over 160 countries coverage for patents, over 200 authorities for trademarks and over 90 authorities for designs. Lighthouse IP data is available via several partners. The company is headquartered in Schiphol-Rijk in the Netherlands and has offices in the United States, China, Thailand, Vietnam, Egypt, Indonesia and Belarus. Globally a team of 150 experts works on the creation of this unique data collection.
AI-SDV 2022: New Product Introductions: CENTREDOC
CENTREDOC was created in 1964 as the technical information center of the swiss watchmaking industry. Building on a strong team of engineers, CENTREDOC now offers a complete range of services and solutions for the monitoring of strategic, technological and competitive information. CENTREDOC is also a leader in the research of patent, technical and business intelligence, and offers consulting expertise in the implementation of monitoring solutions.
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
The everyday use of AI-driven algorithms for data search, analysis and synthesis comes with important time savings, but also reveals the need to understand and accept the limitations of the technology. Practical deployments on concrete topics are inevitable to assess and manage the challenges of neuronal network based AI. A workshop report.
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
What if there was a platform where literature, conference abstracts, patents, clinical trials, news, grants and other sources were fully integrated? What if the data would be harmonized, enriched with standardized concepts and ready for analysis? After building our patent analytics platform we didn’t stop dreaming and built our big data analytics platform by semantically integrating text-rich, scientific sources. In my presentation I will talk about what we built and why we built it. And, of course, I will also address the challenges and hurdles along the way. Was it worth it and what comes next? Let’s talk about it!
More from Dr. Haxel Consult (20)
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
Recently uploaded
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptx
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdf
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
制作毕业证书(ANU毕业证)莫纳什大学毕业证成绩单官方原版办理
在线办理莫纳什大学毕业证【微信：176555708】(ANU毕业证书)成绩单学位证【微信：176555708】，留信认证（真实可查，永久存档）纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。#一整套莫纳什大学文凭证件办理#—包含莫纳什大学莫纳什大学毕业证文凭证书学历认证|使馆认证|归国人员证明|教育部认证|留信网认证永远存档教育部学历学位认证查询办理国外文凭国外学历学位认证#我们提供全套办理服务。
一整套留学文凭证件服务：
一：莫纳什大学莫纳什大学毕业证文凭证书毕业证 #成绩单等全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站永久可查
四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理莫纳什大学莫纳什大学毕业证文凭证书信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信176555708
可查真实(Monash毕业证)西澳大学毕业证成绩单退学买
办理假西澳大学毕业证【微信176555708】购买,办理Monash成绩单,Monash毕业证制作【微信176555708】【西澳大学毕业证】，Monash毕业证购买，Monash学位证，西澳大学学位证【Monash成绩单制作】【Monash毕业证文凭 Monash本科 澳洲学历认证原版制作【diploma certificate degree transcript 】【留信网认证，本科，硕士，海归，博士，排名，成绩单】代办国外（海外）澳洲、韩国、加拿大、新西兰等各大学毕业证。 ?我们对海外大学及学院的毕业证成绩单所使用的材料，尺寸大小，防伪结构（包括：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。 文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）都有原版本文凭对照。#一整套西澳大学文凭证件办理#—包含西澳大学西澳大学毕业证成绩单学历认证|使馆认证|归国人员证明|教育部认证|留信网认证永远存档教育部学历学位认证查询办理国外文凭国外学历学位认证#我们提供全套办理服务。
一整套留学文凭证件服务：
一：西澳大学西澳大学毕业证成绩单毕业证 #成绩单等全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站永久可查
四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理西澳大学西澳大学毕业证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信176555708
学位认证网(DU毕业证)迪肯大学毕业证成绩单一比一原版制作
24小时办理【微信176555708】【毕业证明信-推荐信做学费单】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！
degree，Transcripts（一对一服务包括毕业院长签字,专业课程,学位类型,专业或教育领域,以及毕业日期.不要忽视这些细节.这两份文件同样重要!毕业证成绩单文凭留信网学历认证！）如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】
1、在校期间，因各种原因未能顺利毕业，拿不到官方迪肯大学毕业证+微信176555708；
2、面对父母的压力，希望尽快拿到；
3、不清楚流程以及材料该如何准备；
4、回国时间很长，忘记办理毕业证丢失 学历认证《迪肯大学毕业证》微信176555708《DU学位证书购买》
学位证书验证；
5、回国马上就要找工作，办给用人单位看；
6、企事业单位必须要求办理学历证书 英文《迪肯大学毕业证》微信176555708《DU学位证书购买》
本科毕业证书扫描件的；
微信176555708面向迪肯大学毕业留学生提供以下服务:
【★迪肯大学毕业证、成绩单等全套材料，从防伪到印刷，从水印到钢印烫金，与学校100%相同】
【★大学学历 硕士学位《迪肯大学毕业证》微信176555708《DU学位证书购买》
硕士毕业证】
【★毕业证书范本】
【★真实留信认证，留信网入库存档，可查】
主营项目：
a.办理海外毕业证认证《迪肯大学毕业证》微信176555708《DU学位证书购买》
学位证书英文版，改成绩单，Offer、在读证明、学生卡、信封、证明信等全套材料，从防伪到印刷，从水印到钢印烫金，高精仿度跟学校原版100%相同.
b.真实使馆认证（即留学人员回国证明），使馆存档可通过大使馆查询确认.
c.真实教育部国外学历学位认证，教育部存档，教育部留服网站100%可查.
d.留信网认证，国家专业人才认证中心颁发入库证书，留信网存档可查.
e.招聘中介代理：本公司诚聘各地代理人员以及留学生，如果你有业余时间，有兴趣就请联系我们，我们会给到您的回报！期待您的加盟：一朝办理，终身受益（本信息长期有效）互惠互利，为广大海内外学子及有需要的人士在事业上跨过这道门槛！
【业务选择办理准则】
1.如果您只是为了的应付父母亲戚朋友看下迪肯大学毕业证，那么办理一份学位即可
2.如果您是为了回国找工作，只是进私营企业或者外企，那么办理一份多大学历认证有时间限制吗《迪肯大学毕业证》微信176555708《DU学位证书购买》
毕业证丢失补办即可，因为私营企业或者外企是不能查询学位真假的！
3.如果您是要进国企银行事业单位考公务员等就需办理真实学历认证！
诚招代理：本公司诚聘当地合作代理人员，如果你有业余时间，有兴趣就请联系我们。
Italy Agriculture Equipment Market Outlook to 2027
Agriculture and Animal Care
Ken Research has an expertise in Agriculture and Animal Care sector and offer vast collection of information related to all major aspects such as Agriculture equipment, Crop Protection, Seed, Agriculture Chemical, Fertilizers, Protected Cultivators, Palm Oil, Hybrid Seed, Animal Feed additives and many more.
Our continuous study and findings in agriculture sector provide better insights to companies dealing with related product and services, government and agriculture associations, researchers and students to well understand the present and expected scenario.
Our Animal care category provides solutions on Animal Healthcare and related products and services, including, animal feed additives, vaccination
假文凭国外(Adelaide毕业证)澳大利亚国立大学毕业证成绩单办理
购买澳大利亚国立大学毕业证>【微信176555708】办理澳大利亚国立大学毕业证成绩单【微信176555708】Adelaide毕业证成绩单Adelaide学历证书Adelaide文凭【Adelaide毕业套号文凭网认证澳大利亚国立大学毕业证成绩单】【哪里买澳大利亚国立大学毕业证文凭Adelaide成绩学校快递邮寄信封】【开版澳大利亚国立大学文凭】Adelaide留信认证本科硕士学历认证(诚招代理)微信：176555708办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理澳大利亚国立大学澳大利亚国立大学毕业证成绩单流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:176555708）欢迎咨询！
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
一比一原版制作UST毕业证【微信176555708】圣托马斯大学毕业证书原版↑制作圣托马斯大学学历认证文凭办理圣托马斯大学留信网认证,留学回国办理毕业证成绩单文凭学历认证【微信176555708】专业为海外学子办理毕业证成绩单、文凭制作，学历仿制，回国人员证明、做文凭，研究生、本科、硕士学历认证、留信认证、结业证、学位证书样本、美国教育部认证百分百真实存档可查】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
重新申请毕业证书(RMIT毕业证)皇家墨尔本理工大学毕业证成绩单精仿办理
不能毕业办理【RMIT毕业证【微信176555708】皇家墨尔本理工大学文凭学历】【微信176555708】【皇家墨尔本理工大学文凭学历证书】【皇家墨尔本理工大学毕业证书与成绩单样本图片】毕业证书补办 Fake Degree做学费单【毕业证明信-推荐信】成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！全套服务：皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单真实回国人员证明 #真实教育部认证。让您回国发展信心十足#铸就十年品质！信誉！实体公司！可以视频看办公环境样板如需办理真实可查可以先到公司面谈勿轻信小中介黑作坊！
可以提供皇家墨尔本理工大学钢印 #水印 #烫金 #激光防伪 #凹凸版 #最新版的毕业证 #百分之百让您绝对满意
印刷DHL快递毕业证 #成绩单7个工作日真实大使馆教育部认证1个月。为了达到高水准高效率
请您先以qq或微信的方式对我们的服务进行了解后如果有皇家墨尔本理工大学皇家墨尔本理工大学本科学位证成绩单帮助再进行电话咨询。
国外毕业证学位证成绩单如何办理：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作皇家墨尔本理工大学毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
一比一原版(SLU毕业证)圣路易斯大学毕业证成绩单专业办理
SLU毕业证原版定制【微信：176555708】【圣路易斯大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
Understanding User Behavior with Google Analytics.pdf
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
急速办(bedfordhire毕业证书)英国贝德福特大学毕业证成绩单原版一模一样
原版纸张【微信：741003700 】【(bedfordhire毕业证书)英国贝德福特大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(LBS毕业证)伦敦商学院毕业证成绩单专业办理
LBS毕业证原版定制【微信：176555708】【伦敦商学院毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
国外证书(Lincoln毕业证)新西兰林肯大学毕业证成绩单不能毕业办理
退学办理新西兰林肯大学毕业证【微信176555708】学历认证怎么做：原版仿制新西兰林肯大学电子版成绩单毕业证认证【新西兰林肯大学毕业证成绩单】、新西兰林肯大学文凭证书成绩单复刻offer录取通知书、购买Lincoln圣力嘉学院本科毕业证、【新西兰林肯大学毕业证办理Lincoln毕业证书哪里买】、新西兰林肯大学 Offer在线办理Lincoln Offer新西兰林肯大学Bachloer Degree。1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信176555708我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：新西兰林肯大学新西兰林肯大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信176555708）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
精仿办理南加利福尼亚大学毕业证成绩单（【微信176555708】）毕业证学历认证OFFER专卖国外文凭学历学位证书办理澳洲文凭|澳洲毕业证,澳洲学历认证,澳洲成绩单【微信176555708】 澳洲offer,教育部学历认证及使馆认证永久可查 ,国外毕业证|国外学历认证,国外学历文凭证书 USC毕业证，USC毕业证，USC毕业证，USC毕业证，USC毕业证，USC毕业证【微信176555708】，USC毕业证，专业为留学生办理毕业证、成绩单、使馆留学回国人员证明、教育部学历学位认证、录取通知书、Offer、（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
学历顾问：微信：176555708
Gen Z and the marketplaces - let's translate their needs
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Recently uploaded (20)
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptx
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptx
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdf
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdf
Italy Agriculture Equipment Market Outlook to 2027
Italy Agriculture Equipment Market Outlook to 2027
Understanding User Behavior with Google Analytics.pdf
Understanding User Behavior with Google Analytics.pdf
Gen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needs
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024
II-PIC 2017: Product Presentation LexisNexis
- 1. 1
- 2. LexisNexis Legal & Professional, which serves customers in more than 175 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries. 2
- 4. LexisNexis TotalPatent One Ⓡ LexisNexis TotalPatent One Ⓡ LexisNexis ccc TotalPatent One Ⓡ LexisNexis TotalPatent One Ⓡ
- 5. Most comprehensive data TotalPatent One • Total Authorities 107, Full Text data from 32 Countries • +7 more authorities 5
- 6. Not only number of authorities But also the quality of data 110+ Million Publications 86+ Million Searchable PDF’s 70+ Million Publications with Images 80 + Data Sources 6
- 7. Easy UI & Feature makes your work happy and easy 7
- 8. Our Machine Translation is totally different Specialized MT team Quality Control Process Own MT engine per language Hybrid MT algorithm Pre process for Patent After process for Patent Customized for Patent 8
- 9. Strong Value Added data MACHINE TRANSLATION PATENT FAMILIES CITATIONS Backward and Forward NAMES Standardized and Normalized NON Patent Literatures US Post Issuance Data US Litigation Data US PAIR Data National Notification Legal Data Standardized Legal Data 9
- 10. Revolutionary patent drafting softwareRevolutionary patent drafting software PatentOptimizerⓇPatentOptimizerⓇ 10
- 11. LexisNexis PatentOptimizer® Capabilities 11 • Created to provide rigorous quality control check of patent applications • User friendly and Compatible • 112 Rejections? • One Click Summary Report • 1000, 100 & 500? • Enhanced 3-4 times per year with new features and backed by LexisNexis customer support
- 12. Data-driven insights for strategic patent prosecutionData-driven insights for strategic patent prosecution PatentAdvisorTMPatentAdvisorTM 12
- 13. What Is PatentAdvisor? ▪ A unique, precise, effective patent prosecution tool, and the first-ever data-driven patent strategy tool for a systematic approach to managing an IP portfolio ▪ Effective Prosecution? ▪ Quick Grant? 10 Million Plus Office Actions 6 Million Plus Patent Applicati ons 13
- 14. How PatentAdvisor Helps Corporates & Law Firms • Improve efficiency • Easily manage your entire portfolio • Identify at-risk patents • Customize your approach to patent prosecution 14
- 15. LexMachinaTMLexMachinaTM Award Winning US Litigation Analytics Tool 15
- 16. LexMachina And Types of Cases Lex Machina is an Award winning US litigation Analytics Platform that enables you to uncover strategic insights about the judges, lawyers, and parties involved in litigation, as well as the findings, timing, outcomes, and damages awarded. Case Types Patent Trademark Copyright Antitrust Securities Bankruptcy Commercial Employment Case Types Patent Trademark Copyright Antitrust Securities Bankruptcy Commercial Employment Data District Court Data PTAB ITC USPTO FDA Orange Book Data Legal Analytics Apps Parties Comparator Law Firms Comparator Judges Comparator Early Case Assesor 16
- 17. LexMachina Analytics & Reports Summary and Case Filing Trends Case Resolutions Timing Analytics Patent Findings Motion Metric Reports Law Firm Reports Patent Portfolio Reports 17
- 18. Corporates & Law Firms Rely on LexMachina 18
- 19. Strategic analytics for Monetize & LicenseStrategic analytics for Monetize & License PatentStrategiesTMPatentStrategiesTM 19
- 20. What is PatentStrategies? PatentStrategies is a high-end analytics solution that enables IP driven organizations to generate insights to gain a competitive advantage, monetize the returns of an IP portfolio, and understand IP risks 20
- 21. PatentStrategies in IP Life Cycle Research & Innovation Help researchers and inventors prepare ideas and find collaborators. Refine and protect the best and most lucrative. Licensing / M&A Makes it easy for licensing professionals to build a portfolio for monetize patents. M&A professionals usePatentStrategies to validate the IP they are buying has clear chain of title and adds value to the portfolio. Markets PatentStrategies is vital tool for understanding market dynamics and competitive situations. Use it to spot the emerging trends in your industry. Litigation PatentStrategies helps litigators protect IP by highlighting infringers, showing litigation history and identifying active nonpracticing entities. Use PatentStrategies for defensive and offensive patent protection. Prosecution Indentify related inventions and white space so novelty can be confirmed early and you can win the race to the patent office. Ideation Novelty Grant Protection Growth 21
- 22. 22