ICIC 2014 New Product Introduction BizInt

•

1 like•1,429 views

BizInt Smart Charts provides software tools to help information specialists create reports and visualizations by integrating data from key sources such as drug pipeline databases, clinical trials databases, patent databases, gene sequence databases, and literature databases. The software includes a "Cookbook" with step-by-step recipes for using the tools to answer business questions. It also features tools for cleaning, filtering, and visualizing the data in tables and charts in order to analyze trends such as clinical trial timelines, patent landscapes, and indications by development phase.

Health & Medicine

BizInt Smart Charts 2014 1
ICIC, Heidelberg
October 2014
Diane Webb, President
Product Overview

BizInt Smart Charts 2014 2
BizInt Smart Charts Product Family
Provide corporate information specialists with software tools to create reports and visualizations integrating information from their key sources.

BizInt Smart Charts 2014 3
New member of the family?

BizInt Smart Charts 2014 4
“Cookbook” of techniques
•The Cookbook contains a collection of recipes to help you create accurate and appealing products from your raw ingredients.
•Step-by-step recipes illustrate how each tool can be used.
•Substitute ingredients as needed to answer your business questions.

BizInt Smart Charts 2014 5
Drug Pipeline Databases
Provide data on drugs in development worldwide
•Citeline Pharmaprojects
•IMS R&D Focus
•Adis R&D Insight
•Thomson Reuters Cortellis
•Thomson Reuters Integrity

BizInt Smart Charts 2014 6
Clinical Trials Databases
Provide data on drug trials worldwide
•Citeline TrialTrove
•Adis Clinical Trials Insight
•ClinicalTrials.gov (NIH)
•Cortellis Trials Intelligence

BizInt Smart Charts 2014 7
Patent Databases Provide data on patents filed worldwide
•STN
•Questel Orbit.com
•Minesoft PatBase
•Thomson Innovation, Cortellis IP, Integrity Patents
•LexisNexis TotalPatent

BizInt Smart Charts 2014 8
Gene Sequence Databases Provide data on sequences filed in patents.
•GenomeQuest (Geneseq, GQ-PAT)
•STN (USGENE, DGENE, PCTGEN)

BizInt Smart Charts 2014 9
Literature Databases Provide data on technical and scientific publications.
•Biomedical (Embase, Biosis, Medline)
•Scientific (SciSearch, Chemical Abstracts, PQSciTech, etc.)
•Technical (INSPEC, RAPRA, GEOREF, etc.)
•Hosts: STN & ProQuest Dialog

BizInt Smart Charts 2014 10
Making of Doxie Chef Hat Photos

BizInt Smart Charts 2014 11
Quickly create tabular reports…

BizInt Smart Charts 2014 12
Integrate data from different sources
•Combine charts using File|Combine
•Identify related records using these commands on the Tools menu:
•Generate Common Drug Name
•Generate Common Trial ID
•Identify Common Patent Family
•Use BizInt Smart Charts Reference Rows to summarize related records in a single row.

BizInt Smart Charts 2014 13
Integrate data from different sources

BizInt Smart Charts 2014 14
Summarize data from related records

BizInt Smart Charts 2014 15
Clean-up, filter and visualize data
•Custom version of VantagePoint for use with BizInt Smart Charts.
•Add to your BizInt Smart Charts license for $3000 ($1600 for additional users)
•Sign up for a trial on our web site

BizInt Smart Charts 2014 16
Clean-up and normalize data
Companies extracted and normalized

BizInt Smart Charts 2014 17
Clean-up and normalize phases and companies

BizInt Smart Charts 2014 18
Extract information of interest

BizInt Smart Charts 2014 19
Filter data to focus on your key information

BizInt Smart Charts 2014 20
Visualize clinical trial timelines

BizInt Smart Charts 2014 21
Visualize clinical trial timelines

BizInt Smart Charts 2014 22
Visualize the patent landscape

BizInt Smart Charts 2014 23
Visualize pipeline landscape

BizInt Smart Charts 2014 24
Visualize trial centers of activity

BizInt Smart Charts 2014 25
Visualize pipeline indications by phase

BizInt Smart Charts 2014 26
Visualize changes in MOA’s

BizInt Smart Charts 2014 27
Visit our new website for more info and to see the Cookbook!
www.bizint.com

The pharmaceutical and life science publishing industries have seen and will continue to see big changes over the next few years. Reallocation of library budgets, refocusing of R&D activities, generics and increased transparency in one; open access mandates, text-mining as a research requirement, and an explosion in mobile internet access globally in the other. There is also likely to be further consolidation and collaboration between "big beasts" of both industries as they adjust to changing revenues due to the growth of generics and open access. Both industries are also aware of the continued growth of innovation-led start-ups and disruptive technologies. Technological changes at the interface of pharma and STM Publishing: Mobile, Tablet and now wearable hardware such as Glass make things look even more interesting going forward. What does all this, and more, mean for the generation, processing, delivery and use of scientific content for the pharma and biotech industries?

New Product Introductions - BizInt

Dr. Haxel Consult

Diane Webb, President of BizInt, presented on new features for the BizInt Smart Charts product family at ICIC 2015 in Nice, France. Key updates included support for the new STN platform, moving clinical trial support to a new product, and bundling pipeline and clinical trial support. Enhancements were also made to existing databases for patents, literature, clinical trials, and drug pipelines. A new launch timeline visualization was introduced to plot drugs by estimated launch date.

II-SDV 2016 Expert System

Dr. Haxel Consult

The document summarizes a new tool called the Biopharma Navigator that provides intuitive access and analytics of millions of life science documents. It aggregates data from sources like publications, patents, clinical trials, news, and experts. The tool semantically enriches this unstructured data using controlled vocabularies and provides dashboards and overviews to help answer questions about topics, competitors, and more. A major pharmaceutical client has seen increased daily workflow and exploration adoption since using the Biopharma Navigator.

IC-SDV 2018: BizInt

Dr. Haxel Consult

BizInt Solutions, Inc. is a small software company based in Seattle. We develop, market and support the BizInt Smart Charts software products, which help information specialists create, customize and distribute tabular reports from the leading patent and drug pipeline databases. Our customers include pharmaceutical, biotech, chemical, petroleum, and device manufacturing companies in North America, Europe, and Japan.

IC-SDV 2018: Diane Webb (BizInt) Challenges in Visualizing Pharmaceutical Inf...

Dr. Haxel Consult

This paper revisits the issues discussed in our 2013 and 2016 presentations "Challenges in Visualizing Pharmaceutical Business Information," where we analyzed some of the unique challenges in visualizing competitive intelligence information for the pharmaceutical industry. A key challenge for pharmaceutical companies is to evaluate the competitive landscapes for drug launches many years in the future, based on a combination of publicly available drug pipeline and clinical trials data and internal company knowledge. This information is often conveyed in hand-drawn PowerPoint slides, which are very time consuming to create and update as the competitive landscape changes. In this year's presentation, we'll discuss the development of a "dashboard" of visualizations (piano charts, trial completion timelines, maps, etc.) to facilitate the analysis and visualization of competitive drug landscapes.

Practical Guide to Publishing Open Data

Derilinx

Open Data & Open Research Data Repositories

Vasantha Raju N

This document provides an overview of open data and open science. It defines open data as data that can be freely used, modified, and shared by anyone for any purpose. Open data must be openly licensed, openly accessible, and in an open format. There are many types of open data including culture, science, finance, statistics, weather, and environment data. Open data benefits include increased access, transparency, and economic value. The document also discusses open research data repositories, preprints, data visualization tools, and recommendations for increasing open data in India based on its rankings in the Open Data Inventory.

Complying with the EC Open Data Directive

Derilinx

Are you interested in finding out how your organisation can comply with the new European Commission Directive on Open Data and the Re-use of Public Sector Information (also known as the ‘Open Data Directive’)? The Open Data Directive entered into force on 16 July 2019 and will transposed into National Law in July 2021. https://digital-strategy.ec.europa.eu/en/policies/open-data In this presentation, we look at how an organisation can get started with Open Data publishing, including what data do we manage, which data should we publish as Open Data, or how can we make data available as Open Data? Presented as part of the webinar 'It’s time to Open - Preparing for new Open Data and Reuse of PSI Directive'. https://www.eventbrite.co.uk/e/its-time-to-open-preparing-for-new-open-data-and-reuse-of-psi-directive-tickets-143034131939#

The document provides an overview of investment opportunities in developing and emerging portfolios for the Pistoia Alliance. It introduces a new Portfolio Investment Committee and discusses several projects in the developing portfolio, including a unified chemistry data model, user experience design, and applying sequence analysis in a regulated domain. Emerging portfolio projects focus on wearables, real-world data platforms, and the Internet of Things. Other topics discussed include identification of medicinal products, non-clinical development, and blockchain. For each project, the document provides the problem statement, current status, and next steps.

Managing Biomedical Data and Metadata in Large Scale Collaborations

Georges Heiter

II-SDV 2013 Customized Newsletters - Strategies to Improved Current Awareness

Dr. Haxel Consult

The document discusses strategies for improving current awareness through customized newsletters. It describes implementing customized newsletters containing aggregated data from different sources and filtered for customers' needs. The newsletters are delivered directly to customers and include various information types. A 3-tier model is presented for alerting individual, small group, and customized needs. Customized newsletters for therapeutic areas provide publications and other information on targets of interest. They have advantages over individual alerts by providing comprehensive information to all scientists in an area.

Building a Geospatial Analysis Platform - Dr. Kimberly Scott

Astraea, Inc.

Astraea is building a geospatial analytics platform to enable commercial and non-profit customers to solve global problems using earth observation data and machine learning. Their platform provides access to data from multiple providers, geospatial analytics capabilities, and machine learning expertise to derive actionable insights without remote sensing experience. While technical challenges remain, their goal is to expand use of earth observation data to new sectors and lower barriers to access, especially for non-profits who struggle with high costs of very high resolution commercial imagery.

ICIC 2014 New Product Introduction Intellixier

Dr. Haxel Consult

Intellixir develops a secure web system for technology and competitive intelligence. The system allows users to collect data from multiple sources, consolidate and categorize datasets, analyze the data through interactive graphics, collaborate through expert reviews and ratings, and share results via dashboards and reports. Intellixir was created in 2002 and works with over 60 large organizations. It offers demo, evaluation, and intelligence packs for accessing the system.

Adalimumab- comprehensive patent search

Kate Cleverley

Your Path to Big Data Sucess

Cloudera, Inc.

This document discusses using an enterprise data hub (EDH) to optimize a business intelligence data stack. It recommends using an EDH for: 1) Storage, staging, and active archiving of data 2) Collection and storage of data 3) Accelerating data transformations 4) Optimizing the enterprise data warehouse by handling historical and less frequently used data 5) Enabling data science applications like Oryx and Spark 6) Eventually consolidating all data and applications into the EDH for a full optimized solution.

Difference between data collection and data analysis

PhD Assistance

OSFair2017 Workshop | Survey results towards a common EOSC catalogue

Open Science Fair

Donatella Castelli presents the survey results: "Towards a common EOSC catalogue" | OSFair2017 Workshop Workshop title: How FAIR friendly is your data catalogue? Workshop overview: This workshop will build upon the work planned by the EOSCpilot data interoperability task and the BlueBridge workshop held on April 3 at the RDA meeting. We will investigate common mechanisms for interoperation of data catalogues that preserve established community standards, norms and resources, while simplifying the process of being/becoming FAIR. Can we have a simple interoperability architecture based on a common set of metadata types? What are the minimum metadata requirements to expose FAIR data to EOSC services and EOSC users? DAY 3 - PARALLEL SESSION 6 & 7

Big Data Analysis for Standard Essential Patents

Alex G. Lee, Ph.D. Esq. CLP

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).

Swiss EPD Architecture and Projectathon Insights 2018

ChristineReichert

EPSRC Policy Compliance: What researchers need to know

Historic Environment Scotland

EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...

European Data Forum

Preventive healthcare: exploring big data’s rising role in active and health...

Trillium Bridge: Reinforcing the Bridges and Scaling up EU/US Cooperation on Patient Summary

Preventive healthcare: exploring big data’s rising role in active and healthy ageing As healthcare costs continue to soar, the cost saving benefits of big data will become more apparent, especially as there is an increased focus on preventive care, well-being and reducing re-admission rates in the hospital. With so many benefits, it’s easy to understand why the healthcare industry has been such an early adopter of big data technology. However, it would be interesting to see the impact big data has on the active and healthy ageing market as we are moving forward. Indeed, can we imagine using personal health data for encouraging persons to be proactive about their health and implement suggested lifestyle changes? To which extent can this information be used by insurance companies for example? Which challenges encountered when collecting this data? Let’s discuss with our panelists the impact big data has on preventive care and which are its limits? Moderator: Bowden Richie, CEO, SoMoMod/ Assess Patients, IE  O'Donoghue John, Senior Lecturer in eHealth & Deputy Director Global eHealth, IMPERIAL COLLEGE LONDON, UK  Dekezel Stefaan, Programme Director Innovation & Smart Synergies, Ageas, BE  Brichet Francis, Health Manager, Coreye, FR The view of interoperability and standards: (1) Standards as infrastructure for interoperability (2) Placing the citizen at the center (3) Using digital health technologies to reduce costs and flatten risk (4) However we face a tsounami of data; the question do you navigate the data? Can standards help? And what kind standards can help? Establish trust, use the right data at the right time, for the benefit of the patient; and the system as a whole. (a) Example of appointments: replace most routine f2f appointments with remote visits; and shift the focus to f2f visits that aim to diagnose a problem. Productivity low in health care. (b) Standards place the individual at the center of the care serving as the data aggregator in a fragmented health system (c) Think of the patient summary as a window to a persons’ health

EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...

European Data Forum

Giorgio cangioli trillium ii_mocha_ws_20181121_01

Trillium Bridge: Reinforcing the Bridges and Scaling up EU/US Cooperation on Patient Summary

This document discusses the development of an International Patient Summary (IPS) specification to enable sharing of patient health information across borders for unscheduled care. It outlines the vision, scope, and principles for the IPS, which aims to provide a standardized yet minimal collection of clinically relevant information. The document also describes collaboration between the HL7 and CEN standards organizations to produce four IPS specifications, and plans to refine and extend the IPS to support additional use cases beyond emergency care.

Sagacious research patent trademark updates

sagaciousresearch

This document provides a daily digest of patent and trademark updates from Sagacious Research, including: - Summaries of the top patent stories of the day linking to related articles. - Summaries of the top trademark stories of the day linking to related articles. - An overview of Sagacious Research, a firm that provides affordable IP services including patent and trademark searches, analytics, and filings. - Upcoming events and office visit dates where Sagacious representatives will meet with clients in Europe and the United States.

Dutch Initiative for Standardisation of Medical Data

Plan de Calidad para el SNS

ICIC 2014 New Product Presentations ChemAxon

Dr. Haxel Consult

ChemAxon provides a suite of informatics tools and applications to help scientists manage chemical data. They have developed these tools together with customers and partners. ChemAxon is considered the market leader in mainstream chemical structure handling tools. Their portfolio offers the broadest range of solutions and good value. ChemAxon's tools allow for extraction of chemistry information from text documents and enable curation and visualization of chemical data.

ICIC 2014 What Can We Learn from Our Past, that Equips Us for the Future?

Dr. Haxel Consult

This talk describes lessons learned from a 30-year career in Chemical Information Science, key influences and motivations, and signposts to the future for what we may expect. Work has changed from implicit knowledge of where to find information in books, through data stores, to the internet, and beyond to unimagined futures. The talk references the rise and fall of the UK pharmaceutical industry as a place to work, in line with changes to the provision of information to scientists. The nature of work is described in relation to the 2nd law of thermodynamics, and hopefully provides hope for the future of chemical information for the next generation.

ICIC 2014 New Product Introductions FIZ Karlsruhe

Dr. Haxel Consult

This document discusses using the new STN platform to conduct a patent search on artemisinin, a drug used to treat malaria. It provides steps to draw the chemical structure of artemisinin, search for it and related terms in databases like CAS REGISTRY and Derwent World Patents Index, extract chemical names from results, and filter by specific countries of interest. The search retrieves over 200 relevant records across multiple databases. The document also outlines the STN Global Value Pricing model.

ICIC 2014 The Information World Doesn’t Stop at Patents!

Dr. Haxel Consult

Patent information is valuable when it comes to evaluating specific companies in terms of technology and innovation. But this information alone is sometimes not enough: a broad patent portofolio doesn’t equate with a healthy company; an absence of patents doesn’t equate with a poor company; … What other types of information are available to help us understand or predict a company strategy? The goal of this presentation is both to highlight that it is possible to broaden the work scope of the Information Analyst, and that each type of information has limitation.

What's hot

Pistoia Alliance USA Conference 2016

Pistoia Alliance

Managing Biomedical Data and Metadata in Large Scale Collaborations

Georges Heiter

II-SDV 2013 Customized Newsletters - Strategies to Improved Current Awareness

Dr. Haxel Consult

Building a Geospatial Analysis Platform - Dr. Kimberly Scott

Astraea, Inc.

ICIC 2014 New Product Introduction Intellixier

Dr. Haxel Consult

Adalimumab- comprehensive patent search

Kate Cleverley

Your Path to Big Data Sucess

Cloudera, Inc.

Difference between data collection and data analysis

PhD Assistance

OSFair2017 Workshop | Survey results towards a common EOSC catalogue

Open Science Fair

Big Data Analysis for Standard Essential Patents

Alex G. Lee, Ph.D. Esq. CLP

Swiss EPD Architecture and Projectathon Insights 2018

ChristineReichert

EPSRC Policy Compliance: What researchers need to know

Historic Environment Scotland

EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...

European Data Forum

Preventive healthcare: exploring big data’s rising role in active and health...

Trillium Bridge: Reinforcing the Bridges and Scaling up EU/US Cooperation on Patient Summary

EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...

European Data Forum

Giorgio cangioli trillium ii_mocha_ws_20181121_01

Trillium Bridge: Reinforcing the Bridges and Scaling up EU/US Cooperation on Patient Summary

Sagacious research patent trademark updates

sagaciousresearch

Dutch Initiative for Standardisation of Medical Data

Plan de Calidad para el SNS

What's hot (18)

Pistoia Alliance USA Conference 2016

Managing Biomedical Data and Metadata in Large Scale Collaborations

II-SDV 2013 Customized Newsletters - Strategies to Improved Current Awareness

Building a Geospatial Analysis Platform - Dr. Kimberly Scott

ICIC 2014 New Product Introduction Intellixier

Adalimumab- comprehensive patent search

Your Path to Big Data Sucess

Difference between data collection and data analysis

OSFair2017 Workshop | Survey results towards a common EOSC catalogue

Big Data Analysis for Standard Essential Patents

Swiss EPD Architecture and Projectathon Insights 2018

EPSRC Policy Compliance: What researchers need to know

EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...

Preventive healthcare: exploring big data’s rising role in active and health...

EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...

Giorgio cangioli trillium ii_mocha_ws_20181121_01

Sagacious research patent trademark updates

Dutch Initiative for Standardisation of Medical Data

Viewers also liked

ICIC 2014 New Product Presentations ChemAxon

Dr. Haxel Consult

ICIC 2014 What Can We Learn from Our Past, that Equips Us for the Future?

Dr. Haxel Consult

ICIC 2014 New Product Introductions FIZ Karlsruhe

Dr. Haxel Consult

ICIC 2014 The Information World Doesn’t Stop at Patents!

Dr. Haxel Consult

ICIC 2014 From SureChem to SureChEMBL

Dr. Haxel Consult

SureChEMBL is a database of over 15 million chemical structures extracted from patent documents. It is maintained by EMBL-EBI to provide open access to chemistry data. SureChEMBL extracts structures from text and images using various recognition tools and integrates the data with other resources through UniChem. The database coverage includes patents from several major offices from the 1970s onward. Future work aims to expand entity recognition and provide additional data types and links to other biological resources.

ICIC 2014 Finding Answers in the Data – The Future Role of Text and Data Mini...

Dr. Haxel Consult

Vast amounts of new information and data are generated every day through scientific research. More and more of this data is stored in rapidly growing, but siloed databases, creating “Big Data” challenges. New technologies such as text and data mining make it possible to efficiently search and improve knowledge by applying analytics across these data sources. Research-intensive companies in the pharmaceutical and chemical industry are exploring the use of text and data mining (TDM) techniques to glean new insights from patents, clinical data, scientific literature, and other data sources. These insights are seen as critical to accelerating the process of drug and product discovery. As these researchers leverage TDM techniques, obtaining easy, centralized access to TDM-ready full-text content from multiple publishers becomes more and more important. What will be the future role of TDM in 2014 and beyond? What are the major TDM trends and what solutions are companies looking for to accelerate their R&D; efforts? Based on the experience gathered in a text and data mining pilot program successfully run by RightsDirect’s parent company Copyright Clearance Center (CCC) in 2013, RightsDirect’s General Manager Kim Zwollo will give an overview of current market needs, options and trends in Text and Data Mining. Using CCC’s TDM solution as an example, the presentation outlines critical success factors in technology and business models that need to be part of a comprehensive approach to text and data mining.

ICIC 2014 The Changing Role of Corporate Information Services at Johnson Matt...

Dr. Haxel Consult

As companies become more information-focussed, the role of the corporate information service has changed to capture and enable this trend. Information groups still provide access to literature and patent searching but this is largely done by end users now, freeing up the information professionals to look at how to be more proactive and add value to the information provided – to become a resource rather than a service. This presentation will outline the role of Technology Forecasting & Information (TFI), the information resource for Johnson Matthey. As a corporate resource, TFI works closely with scientific, commercial and financial teams throughout Johnson Matthey to ensure that the decision makers have the knowledge they require to make informed decisions. This presentation will highlight how we have changed the way we work, the sort of work we do, and will show how we use information to highlight trends, identify opportunities, and foster innovation. It will also address the challenges of Big Data, copyright and global sources of information.

ICIC 2014 Future Role of Information Professionals and Providers: Certificat...

Dr. Haxel Consult

What will be the role of Informartion Professionals ? For years the Confederacy of European patent Information User Group has been working on the Certification for Patent Information Professionals. The certification for patent information specialists is an indispensable tool for guaranteeing that the patent searching profession is able to continue meeting the quality standards of the European industry, for providing recognition for people working as patent information specialists and for new entrants in the profession. In this presentation, I will explain what the Certification project is about, I will give a status update and review the plan for the future. As always, the role of Providers in this project is very important to ensure the right organizational support.

ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...

Dr. Haxel Consult

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.

ICIC 2014 New Product Introduction InfoChem

Dr. Haxel Consult

This document summarizes Valentina Eigner-Pitto's product presentation at the ICIC conference in Heidelberg on October 12-15, 2014. It discusses InfoChem's software, services, and content products for chemical information management and publishing workflows, including full-text annotation, CDX scheme processing, and reaction prediction software ICSYNTH. The presentation highlights case studies with Wiley and Springer integrating these tools.

ICIC 2014 New Product Introduction Minesoft

Dr. Haxel Consult

PatBase is an innovative global patent information provider that has been in business for 18 years. It is headquartered in London and has offices in Washington D.C., Germany, and Asia. PatBase provides patent research, monitoring, analysis and other intellectual property services to Fortune 500 companies, universities, patent offices and other clients around the world. It contains over 100 million patent publications organized into families and covers 23 countries and over 100 issuing authorities.

ICIC 2014 Patent Citation Analysis: Tools and Techniques

Dr. Haxel Consult

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.

ICIC 2014 New Product Introduction Wiley

Dr. Haxel Consult

This document discusses using Wiley's Chemistry Toolkit to plan syntheses of target molecules. It describes an approach using computer-aided synthesis design (CASD) to perform retrosynthetic analysis back to available starting materials, generating many alternatives and supporting them with literature examples. CASD works by extracting reaction rules from source reactions in databases like CIRX and applying chemical perception to identify compatible functional groups and regio- and stereoselectivity. The goal is to provide an integrated solution for data mining and synthesis planning.

ICIC 2014 Knowledge-Based De Novo Molecular Design Using ICSYNTH FRP

Dr. Haxel Consult

A new knowledge-based approach to the de novo design of synthetically feasible molecules is described. The method is based on specifically designed transform libraries abstracted from reaction databases. The structure generation process is based on conceptual chemistry and the degree of complexity introduced in the new structures can be modulated using specific parameters. Furthermore, this new system allows the integration of the results obtained in different workflows to calculate/predict other important physico-chemical properties of the new suggested molecules.

ICIC 2014 Increasing the efficiency of pharmaceutical research through data i...

Dr. Haxel Consult

The pressures of pharmaceutical research and development demand increasing efficiency from scientists. High-quality decisions must be made faster and encompass all available information. At the same time there is a growing desire to better utilize the multi-billion dollar research investment recorded in laboratory notebooks and bioassay databases. Key values for data integration in a data exploration environment include gathering data from disparate E-notebooks and bioassay databases into a single searchable “virtual” system and increased discoverability by accessing data through a system designed for exploration. Key benefits are better chemistry decisions through easier access to broader data and reduced time for preparing patent filings. The ability to interlink in-house and reported assay data with in-house and published chemistry provides a data-rich environment for developing insights and predictive models. We will discuss our experience with integrating information from journals, patents, bio-assay databases, and E-lab notebooks to address these needs.

II-SDV 2015 The International Information Conference on Search, Data Mining a...

Dr. Haxel Consult

he II-SDV meeting takes place in Nice in April 2016 for an intensive two days. Venue is the Hotel Plaza in central Nice. The meeting provides an international forum for those in the field of advanced search applications, data and text mining, and visualization technology. The primary focus is on tools for intelligence and the meeting examines the requirements of specialists in scientific and technical information. The meeting will be of interest to those who wish to update themselves and keep in touch with the leading edge of information search and analysis technologies; it features approximately 22 speakers for the two days. There will be an adjacent, focused exhibition to complement the conference programme.

II-SDV 2017 in Nice - The International Information Conference on Search, Dat...

Dr. Haxel Consult

The 2017 II-SDV Conference in Nice, 24 - 25 April 2017 The II-SDV meeting takes place in Nice in April 2017 for an intensive two days. Venue is the Hotel Plaza in central Nice. The meeting provides an international forum for those in the field of advanced search applications, data and text mining, and visualization technology. The primary focus is on tools for intelligence and the meeting examines the requirements of specialists in scientific and technical information. The meeting will be of interest to those who wish to update themselves and keep in touch with the leading edge of information search and analysis technologies; it features approximately 22 speakers for the two days. There will be an adjacent, focused exhibition to complement the conference programme.

Viewers also liked (17)

ICIC 2014 New Product Presentations ChemAxon

ICIC 2014 What Can We Learn from Our Past, that Equips Us for the Future?

ICIC 2014 New Product Introductions FIZ Karlsruhe

ICIC 2014 The Information World Doesn’t Stop at Patents!

ICIC 2014 From SureChem to SureChEMBL

ICIC 2014 Finding Answers in the Data – The Future Role of Text and Data Mini...

ICIC 2014 The Changing Role of Corporate Information Services at Johnson Matt...

ICIC 2014 Future Role of Information Professionals and Providers: Certificat...

ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...

ICIC 2014 New Product Introduction InfoChem

ICIC 2014 New Product Introduction Minesoft

ICIC 2014 Patent Citation Analysis: Tools and Techniques

ICIC 2014 New Product Introduction Wiley

ICIC 2014 Knowledge-Based De Novo Molecular Design Using ICSYNTH FRP

ICIC 2014 Increasing the efficiency of pharmaceutical research through data i...

II-SDV 2015 The International Information Conference on Search, Data Mining a...

II-SDV 2017 in Nice - The International Information Conference on Search, Dat...

Similar to ICIC 2014 New Product Introduction BizInt

Presentation

cdadral

Analytics in healthcare

ISME College

This document discusses how healthcare analytics is used to provide insights from patient records and diagnoses to more efficiently allocate resources. It maximizes revenue, population health, patient care, and saves lives and costs. Healthcare analytics helps managers make real-time decisions by combining business intelligence suites and data visualization tools. Examples are provided of healthcare companies like IBM Watson Health that use analytics to reduce costs and improve outcomes such as reducing redundant tests and personalizing patient care. Case studies of healthcare organizations using analytics platforms from Qlik, Domo, and Sisense are also summarized.

II-SDV 2016 BizInt

Dr. Haxel Consult

- BizInt Solutions creates software tools called Smart Charts that help analysts build reports and visualizations from biomedical database search results. - Smart Charts is used by analysts in over 100 companies and integrates data from over 20 database publishers. - The presentation demonstrates how Smart Charts can integrate results from different databases, summarize data, create visualizations like timelines and charts, and export summaries for reporting.

Ringgold User Group Meeting 2016 (USA)

Ringgold Inc

This document summarizes a meeting between Ringgold and its user group customers to discuss updates and gather feedback. Ringgold provides identifiers and structured data to power information exchange in the scholarly community. New customers and uses were noted. Customers want Ringgold's online interface to better support searching, analyzing, visualizing, and reporting on the identifier data to gain business intelligence about authors, institutions, research output, and more. Ringgold outlined upcoming features in its IDO2 release and gathered feedback on additional features to include.

Tackling the challenge of data Visualisation

Scott Abbott

The document provides tips for creating effective data visualizations, including making the most important information available at a glance, encouraging exploration through interactive elements, designing for digital platforms, accounting for variability in data, and using color strategically. It also includes examples and discusses designing visualizations based on user needs and goals. The tips are meant to help create visualizations that are deep, interesting and useful.

Fusebill 2014 Business Intelligence and Reporting

Fusebill

Fusebill 2014 provides powerful business intelligence tools to deliver customer analytics and insights. The subscription-oriented metrics like churn rates, monthly recurring revenues, customer lifetime value have always been a strength of Fusebill. Now there are far more sophisticated tools to analyze those metrics, and more ways to slice and dice them. Fusebill 2014 is a highly flexible but easy-to-use product designed for a business user, not an IT analyst or a developer. It’s easier to integrate, both into your systems and your workflows, and it provides customer insights through advanced analytics.

Shivraj MCA Evaluation 2010981527.pptx

shivraj886850

The document summarizes a project presentation given by Shivraj Shiv for their Masters/Bachelors of Computer Applications program. The presentation was given under the supervision of Mr. Aru Bhardwaj, Director of the Department of Computer Applications. The project involved collaborating with a FinTech company to clean customer credit card purchasing data over the past year using Python libraries like NumPy and Pandas in order to provide a forecast of customer behaviors through deep learning. The data cleaning process involved importing libraries, inputting the customer feedback dataset, locating missing data, checking for duplicates, normalizing casing, and describing basic commands like importing, inputting data, checking for missing values and duplicates, detecting outliers, and normalizing casing. An

Data warehousing

Owais Ashraf

This document discusses the importance of data warehousing for multinational corporations (MNCs). It notes that MNCs often struggle to find, understand, and use the data they need because data is scattered across networks in many different versions and formats. A data warehouse integrates data from various sources into a single consistent store that is easy for end users to access and understand. It allows historical data analysis and "what if" scenario planning to help answer business questions and make better decisions. The document outlines key components and architectures of data warehouses and how they can provide summarized data to different departments through data marts.

Hfma 2014

Health Catalyst

This document provides an overview of Health Catalyst, a company that provides healthcare data warehousing and analytics solutions. It discusses Health Catalyst's mission to transform US healthcare using data-driven insights. The company offers an enterprise data warehouse, data integration tools, reports/dashboards, and applications for quality improvement, population health and predictive analytics. Case studies demonstrate successes in cost savings, core measure performance, and clinical outcomes.

ONS Local presents: Census 2021, products and analysis

Office for National Statistics

ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations. On 28th June 2022, Census 2021 released their first results, followed by data covering eight topics and more recently launched a new ‘Create a custom dataset’ tool. We will take you through a tour of the products such as census maps, build a custom area profile, create your own custom dataset tool and pre-built tables, as well as census analysis plans and how you can carry out your own analysis using census data. This event is open to all, however we anticipate it will be of most interest to anyone working at a local level on Census data or on any Census topics. If you have any questions, please contact ons.local@ons.gov.uk

Certified Data Science Specialist Course Preview Dr. Alvin

iTrainMalaysia1

This document provides an overview of business intelligence (BI) and how to use the Microsoft Power BI tool for data visualization and analysis. It defines BI as delivering relevant information to the right people at the right time to help make better and faster decisions. Power BI allows users to unify data from multiple sources to create interactive dashboards and reports. These visualizations provide insights and drive business results. The document outlines Power BI's workflow and components like the desktop, query editor, and online services. It also presents examples of how retailers can use customer transaction data for BI to increase sales and provide targeted marketing.

Market assessment for medical diagnostic products

Winton Gibbons

The document outlines the typical process for conducting a market assessment for new medical diagnostic products. It discusses setting the scope of the assessment, which may include specific medical specialties, regions, and diagnostic tests/analytes. The general process involves initial interviews and desk research, followed by electronic surveys of medical professionals. The data would then be analyzed to generate hypotheses to test in focus groups. The final phase would produce conclusions and insights into customer needs, product concepts, and preliminary financial forecasts to guide business planning. Costs for surveys and focus groups are variable depending on sample sizes. Transforming the raw research data into actionable knowledge is key to developing an effective product market concept.

Smarter Analytics: Supporting the Enterprise with Automation

Inside Analysis

The Briefing Room with Barry Devlin and WhereScape Live Webcast on June 10, 2014 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=5230c31ab287778c73b56002bc2c51a The data warehouse is intended to support analysis by making the right data available to the right people in a timely fashion. But conditions change all the time, and when data doesn’t keep up with the business, analysts quickly turn to workarounds. This leads to ungoverned and largely un-managed side projects, which trade short-term wins for long-term trouble. One way to keep everyone happy is by creating an integrated environment that pulls data from all sources, and is capable of automating both the model development and delivery of analyst-ready data. Register for this episode of The Briefing Room to hear data warehousing pioneer and Analyst Barry Devlin as he explains the critical components of a successful data warehouse environment, and how traditional approaches must be augmented to keep up with the times. He’ll be briefed by WhereScape CEO Michael Whitehead, who will showcase his company’s data warehousing automation solutions. He’ll discuss how a fast, well-managed and automated infrastructure is the key to empowering faster, smarter, repeatable decision making. Visit InsideAnlaysis.com for more information.

Health IT & Voice of Patient

Dr.Mahmoud Abbas

This document provides an overview of a company called QualityMetric that offers health surveys and tools for capturing patient-reported outcomes. It discusses QualityMetric's smart measurement system which allows for health surveys to be administered and scored via various modes including phone, online, paper, and mobile devices. It also describes how QualityMetric's tools can be used to monitor population health metrics like disease burden, risk prediction, cost-benefit analysis, and program evaluation. The document concludes with a case study of Alberta Health Services which used QualityMetric's surveys and reporting features to evaluate outcomes of diabetes and obesity management programs.

MIS and their Reports

Lay091200

This document provides an overview of management information systems (MIS). It begins by defining MIS as a system that provides managers with accurate and timely information to facilitate decision-making. It then explains that MIS processes and communicates data within an organization. The document lists the key characteristics of useful information as being right, accessible to the right people, in the right place and time, and at the right cost. It provides a conceptual model of MIS and describes the various users within an organization, from clerks to executives. The remainder of the document provides examples of common MIS reports and guidelines for developing an effective MIS. It concludes with a case study of how McDonald's developed an MIS to manage information across its large global network of franchised and corporate

Data Discovery vs BI Webinar

Birst

This document summarizes a webinar about data discovery and business intelligence (BI). It discusses the differences between data discovery and traditional BI approaches. Data discovery focuses on rapid integration of new data for tactical analysis, while BI typically uses a single data structure or warehouse for ongoing reporting and analysis. When evaluating solutions, companies should consider factors like time to deploy, data half-life, reporting needs, data sources, and use cases. Both data discovery and BI can be useful depending on a company's specific business needs and analyst profiles. The webinar then demonstrates the Birst cloud BI platform, which aims to provide tools to meet different user needs from a single system.

Advanced Analytics and Machine Learning with Data Virtualization

Denodo

This document summarizes a webinar on data virtualization presented by Denodo. It discusses common data challenges faced by data scientists, including spending significant time locating, transforming, and preparing data from various sources. It then introduces data virtualization as a solution, which provides a centralized catalog and logical view of data that reduces the data science workflow from months to days. Examples are given of customers like a healthcare company and industrial real estate company using Denodo's data virtualization platform to more easily discover, access, and analyze their diverse data sources. Key benefits highlighted include increased data and analytics agility, reduced data preparation time, and enabling self-service analytics.

Nutri system

raja1233

Webinar: If Your Data Could Talk, What Story Would it Tell? Would it Be a Doc...

QueBIT Consulting

II-SDV 2013 Challenges in Visualizing Pharmaceutical Business Information

Dr. Haxel Consult

This document discusses the challenges in visualizing pharmaceutical business information and drug pipeline data. Standard scientific and technical visualizations do not effectively convey drug pipeline information. Drug pipeline data requires normalization, deduplication, and ordering clinical trial phases chronologically. Non-standard visualizations like bullseye charts and stacked bar charts are often used but have their own issues to consider. Creating accurate and informative drug pipeline visualizations requires combining data from multiple sources and significant cleaning and formatting of the data.

Similar to ICIC 2014 New Product Introduction BizInt (20)

Presentation

Analytics in healthcare

II-SDV 2016 BizInt

Ringgold User Group Meeting 2016 (USA)

Tackling the challenge of data Visualisation

Fusebill 2014 Business Intelligence and Reporting

Shivraj MCA Evaluation 2010981527.pptx

Data warehousing

Hfma 2014

ONS Local presents: Census 2021, products and analysis

Certified Data Science Specialist Course Preview Dr. Alvin

Market assessment for medical diagnostic products

Smarter Analytics: Supporting the Enterprise with Automation

Health IT & Voice of Patient

MIS and their Reports

Data Discovery vs BI Webinar

Advanced Analytics and Machine Learning with Data Virtualization

Nutri system

Webinar: If Your Data Could Talk, What Story Would it Tell? Would it Be a Doc...

II-SDV 2013 Challenges in Visualizing Pharmaceutical Business Information

More from Dr. Haxel Consult

AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management

Dr. Haxel Consult

This document describes a metadata list of patent holders in various countries and regions compiled by Muchiu (Henry) Chang. The list is sorted geographically and includes patent holder names from Canada, China, Hong Kong, Macao, Taiwan, the Middle East, and Europe between 2009-2022. Key features include Chinese-English compatibility and use of open source intelligence. The list has previously been utilized by the Region of Peel in Ontario, Canada.

AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...

Dr. Haxel Consult

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...

Dr. Haxel Consult

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...

Dr. Haxel Consult

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...

Dr. Haxel Consult

This document profiles Linda Andersson, the CEO of Artificial Researcher. It provides details on her background, awards, research fields, and academic merits. It then discusses how domain knowledge enables artificial intelligence systems to be smarter by allowing them to understand language and text in particular domains at a deeper level. Finally, it provides an overview of Artificial Researcher's natural language processing and text mining technologies and services for tasks like passage retrieval, ontology generation, and semantic search.

AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...

Dr. Haxel Consult

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...

Dr. Haxel Consult

AI-SDV 2022: Machine learning based patent categorization: A success story in...

Dr. Haxel Consult

AI-SDV 2022: Machine learning based patent categorization: A success story in...

Dr. Haxel Consult

AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...

Dr. Haxel Consult

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...

Dr. Haxel Consult

This document discusses using natural language processing on trademark text data to gain insights. It presents research on how trademark activity changed during COVID-19, detecting emerging trends in trademarks over time, and classifying trademarks by industry. The research uses techniques like topic modeling and deep learning classifiers to analyze trademarks and identify patterns. The analysis of trademarks can provide economic indicators and reveal where businesses are focusing their innovation and market presence.

AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...

Dr. Haxel Consult

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...

Dr. Haxel Consult

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...

Dr. Haxel Consult

This document discusses using AI tools to improve patent search and analysis. It provides metrics on how well an AI system called IPscreener can retrieve patent citations compared to examiners. The metrics show recall rates increase with longer input text and when users provide additional context. Machine translation negatively impacts performance, but the AI can help users navigate patents by selecting relevant text segments. The goal is for AI to boost innovation by improving how users search for and understand prior art.

AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...

Dr. Haxel Consult

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.

Dr. Haxel Consult

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

Dr. Haxel Consult

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

Dr. Haxel Consult

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...

Dr. Haxel Consult

AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...

Dr. Haxel Consult

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)