1) The document discusses various methods for technology monitoring and forecasting, including environmental scanning, trend analysis, impact assessment, and patent analysis.
2) It emphasizes the importance of using multiple information sources and tools to conduct effective technology intelligence, such as analyzing patents, publications, reports and expert opinions.
3) The key goal of technology monitoring is to provide reliable information to support technological development and strategic decision making around investments, acquisitions, and research priorities.
MTBF is a common metric among practitioners and users of reliability prediction, safety assurance, and maintenance planning. However, there are a number of significant flaws and limitations with this approach. This presentation goes through those limitations and uses that information to suggest alternatives that may provide much greater insight into product performance.
MTBF is a common metric among practitioners and users of reliability prediction, safety assurance, and maintenance planning. However, there are a number of significant flaws and limitations with this approach. This presentation goes through those limitations and uses that information to suggest alternatives that may provide much greater insight into product performance.
A great paper which have written by former Shell scenario planner and a former Shell executive who recently completed a history of scenario planning at the company after interviewing almost every surviving veteran of the operation, along with current and former top company executives. They review Shell scenario planning experience with commenting on milestones and results.
How to Make Awesome SlideShares: Tips & TricksSlideShare
Turbocharge your online presence with SlideShare. We provide the best tips and tricks for succeeding on SlideShare. Get ideas for what to upload, tips for designing your deck and more.
Patterns and characteristics of innovation in the ICT sector lessons from suc...Ilyas Azzioui
Expert Group Meeting on Investment, Research, Development and Innovation the ICT Sector ( Tunisia, 7-8 May 2013)
Abstract
The presentation uses the concept of sectoral innovation system and argues for the importance of analyses conducted at sectoral level, because there are significant differences across economic sectors in the variables and mechanisms involved in catch-up.
Drawing on empirical evidences from research the presentation shows how innovation differs across sectors in terms of sources and patterns of technological change, appropriability conditions, knowledge base and accumulation of knowledge, and last but not least organizations and actors involved. A strong emphasis will be put on how the ICT sector differs from other sectors.
The second part of the presentation first discusses the common factors affecting catching up in six economic sectors – Telecommunications, software, automobile, pharmaceuticals, semi-conductors and agro-food- in several catching-up economies such a Brazil, India, China, Taiwan and Korea. It moves then into discussing the differences across sectors explains how the ICT sector (Telecom and Software) compares to the other sectors.
MIT's Poor Predictions About TechnologyJeffrey Funk
These slides analyze the 40 predictions of breakthrough technologies that were made betwee 2001 and 2005 by MIT’s Technology Review. Most of them are science-based technologies, and none of the science-based technologies predicted between 2001 and 2005 have markets larger than $10 billion. Among its 40 predictions, only four have markets larger than $10 billion and these technologies have little to do with recent advances in science and instead were enabled by Moore’s Law and improvements in Internet services. MIT also missed many technologies that have achieved market sales greater than $100 billion such as smart phones, cloud computing, and the Internet of Things and other technologies with sales greater than $50 billion such as e-commerce for apparel and tablet computers.
This presentation explains the basics of patent data for economics and management research. It explains among others the main uses of patent data in the literature, the main patent-based measures, and the most important data sources. It was prepared for various PhD summer schools. Great resource for graduate students.
A Comprehensive Overview of Advance Techniques, Applications and Challenges i...IRJTAE
— The field of data science uses scientific methods, algorithms, processes, and systems to extract
insights and knowledge from structured and unstructured data. It combines principles from mathematics,
statistics, computer science, and domain expertise to analyse, interpret, and present data in meaningful ways. Its
primary aim is to uncover patterns, trends, and correlations across various domains to aid in making informed
decisions, predictions, and optimizations. Data science encompasses data collection, cleaning, analysis,
interpretation, and communication of findings. Techniques such as machine learning, statistical analysis, data
mining, and data visualization are commonly employed to derive valuable insights and solve complex problems.
Data scientists use programming languages and tools to manage large volumes of data, transforming raw
information into actionable intelligence, driving innovation, and enabling evidence-based decision-making in
businesses, research, and various other applications. This review seeks to provide a valuable resource for
researchers, practitioners, and enthusiasts who wish to gain in-depth knowledge and understanding of data
science and its implications for the ever-evolving data-driven world.
Presentation about the state of AI, policy-relevant AI research and evidence gaps that can be addressed with new data, methods and modelling approaches.
This was presented by Micheal Khan at the Innovation Festival at Spier Wine Estate on 8 and 9 March 2010. The sponsor was Cape Biotech Trust to raise funds for the Southern African Innovation Network (SAINe).
A great paper which have written by former Shell scenario planner and a former Shell executive who recently completed a history of scenario planning at the company after interviewing almost every surviving veteran of the operation, along with current and former top company executives. They review Shell scenario planning experience with commenting on milestones and results.
How to Make Awesome SlideShares: Tips & TricksSlideShare
Turbocharge your online presence with SlideShare. We provide the best tips and tricks for succeeding on SlideShare. Get ideas for what to upload, tips for designing your deck and more.
Patterns and characteristics of innovation in the ICT sector lessons from suc...Ilyas Azzioui
Expert Group Meeting on Investment, Research, Development and Innovation the ICT Sector ( Tunisia, 7-8 May 2013)
Abstract
The presentation uses the concept of sectoral innovation system and argues for the importance of analyses conducted at sectoral level, because there are significant differences across economic sectors in the variables and mechanisms involved in catch-up.
Drawing on empirical evidences from research the presentation shows how innovation differs across sectors in terms of sources and patterns of technological change, appropriability conditions, knowledge base and accumulation of knowledge, and last but not least organizations and actors involved. A strong emphasis will be put on how the ICT sector differs from other sectors.
The second part of the presentation first discusses the common factors affecting catching up in six economic sectors – Telecommunications, software, automobile, pharmaceuticals, semi-conductors and agro-food- in several catching-up economies such a Brazil, India, China, Taiwan and Korea. It moves then into discussing the differences across sectors explains how the ICT sector (Telecom and Software) compares to the other sectors.
MIT's Poor Predictions About TechnologyJeffrey Funk
These slides analyze the 40 predictions of breakthrough technologies that were made betwee 2001 and 2005 by MIT’s Technology Review. Most of them are science-based technologies, and none of the science-based technologies predicted between 2001 and 2005 have markets larger than $10 billion. Among its 40 predictions, only four have markets larger than $10 billion and these technologies have little to do with recent advances in science and instead were enabled by Moore’s Law and improvements in Internet services. MIT also missed many technologies that have achieved market sales greater than $100 billion such as smart phones, cloud computing, and the Internet of Things and other technologies with sales greater than $50 billion such as e-commerce for apparel and tablet computers.
This presentation explains the basics of patent data for economics and management research. It explains among others the main uses of patent data in the literature, the main patent-based measures, and the most important data sources. It was prepared for various PhD summer schools. Great resource for graduate students.
A Comprehensive Overview of Advance Techniques, Applications and Challenges i...IRJTAE
— The field of data science uses scientific methods, algorithms, processes, and systems to extract
insights and knowledge from structured and unstructured data. It combines principles from mathematics,
statistics, computer science, and domain expertise to analyse, interpret, and present data in meaningful ways. Its
primary aim is to uncover patterns, trends, and correlations across various domains to aid in making informed
decisions, predictions, and optimizations. Data science encompasses data collection, cleaning, analysis,
interpretation, and communication of findings. Techniques such as machine learning, statistical analysis, data
mining, and data visualization are commonly employed to derive valuable insights and solve complex problems.
Data scientists use programming languages and tools to manage large volumes of data, transforming raw
information into actionable intelligence, driving innovation, and enabling evidence-based decision-making in
businesses, research, and various other applications. This review seeks to provide a valuable resource for
researchers, practitioners, and enthusiasts who wish to gain in-depth knowledge and understanding of data
science and its implications for the ever-evolving data-driven world.
Presentation about the state of AI, policy-relevant AI research and evidence gaps that can be addressed with new data, methods and modelling approaches.
This was presented by Micheal Khan at the Innovation Festival at Spier Wine Estate on 8 and 9 March 2010. The sponsor was Cape Biotech Trust to raise funds for the Southern African Innovation Network (SAINe).
II-SDV 2017: What is Innovation and how can we measure it?Dr. Haxel Consult
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.
Presentation by Dr Steffi Friedrichs, AcumenIST, NanoEarth, Virginia Tech, 8....Steffi Friedrichs
Title: The ‘Rise and Fall’ of Technologies (on the Example of Biotechnology and Nanotechnology)
Biotechnology has often been referred to as the bigger sister of nanotechnology. Indeed, the difference between the two technologies is often reduced to a mere two-decade time warp between the technologies’ hype cycles, and both technology analysists, policy-makers and pressure groups continue to entertain each other with numerous stories about the exchangeability of the two technology names in meeting agendas, expert panel discussions, public debates and policy documents.
This talk by Steffi Friedrichs, however, highlights the difference between the two technologies and outline the potential pitfalls (for both the public and the private sector) in reducing the expected trajectory of any technology’s development to a mere copy of a previous experience.
Steffi discusses the evidence recently published in two in-depth reports on the development of biotechnology and nanotechnology and their resulting impacts:
1. The Report on statistics and indicators of biotechnology and nanotechnology brings together the latest available patenting and bibliometric activity data on biotechnology, nanotechnology and related emerging and converging technologies. In order to achieve a comparison between the two technology fields, the selected indicators and measurement methodology for these multidisciplinary and partially overlapping technologies were re-confirmed and stress-tested with a view to establishing uniquely accurate and relevant datasets.
2. The Trend-analysis of science, technology and innovation policies for BNCTs studied the policies pertaining to nanotechnology and biotechnology over the past three decades and analysed them with regard to their directionality (i.e. the characteristics differentiating “technology-push” from “application-pull” policies) and their generality (i.e. the antonym of a technology-specificity that limits a policy to be applicable to a specific technology field only).
(NOTE: this PDF of the original presentation has been annotated for sharing.)
R&D Projects and Emerging Technology Due Diligence using NASA/DoD Technology ...UCICove
About UCI Applied Innovation:
UCI Applied Innovation is a dynamic, innovative central platform for the UCI campus, entrepreneurs, inventors, the business community and investors to collaborate and move UCI research from lab to market.
About the Cove @ UCI:
To accelerate collaboration by better connecting innovation partners in Orange County, UCI Applied Innovation created the Cove, a physical, state-of-the-art hub for entrepreneurs to gather and navigate the resources available both on and off campus. The Cove is headquarters for UCI Applied Innovation, as well as houses several ecosystem partners including incubators, accelerators, angel investors, venture capitalists, mentors and legal experts.
Follow us on social media:
Facebook: @UCICove
Twitter: @UCICove
Instagram: @UCICove
LinkedIn: @UCIAppliedInnovation
For more information:
cove@uci.edu
http://innovation.uci.edu/
International Journal of Computational Science and Information Technology (IJ...ijcsity
International Journal of Computational Science and Information Technology (IJCSITY) focuses on Complexsystems,informationandcomputationusingmathematicsandengineeringtechniques.Thisisan open access peer-reviewed journal will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area of Computation theory and applications. It will also serve to facilitate the exchange of information between researchers and industry professionals to discussthelatestissuesandadvancementintheareaofadvancedComputationanditsapplications
The topics suggested by this journal can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal.
International Journal of Computational Science and Information Technology (IJ...ijcsity
International Journal of Computational Science and Information Technology (IJCSITY) focuses on Complexsystems,informationandcomputationusingmathematicsandengineeringtechniques.Thisisan open access peer-reviewed journal will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area of Computation theory and applications. It will also serve to facilitate the exchange of information between researchers and industry professionals to discussthelatestissuesandadvancementintheareaofadvancedComputationanditsapplications
The topics suggested by this journal can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal.
International Journal of Computational Science and Information Technology (IJ...ijcsity
International Journal of Computational Science and Information Technology (IJCSITY) focuses on Complexsystems,informationandcomputationusingmathematicsandengineeringtechniques.Thisisan open access peer-reviewed journal will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area of Computation theory and applications. It will also serve to facilitate the exchange of information between researchers and industry professionals to discussthelatestissuesandadvancementintheareaofadvancedComputationanditsapplications
The topics suggested by this journal can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal.
Similar to Technology Observatory Examples, Tools and Techniques (20)
The powerful effect of noticing good things Vahid Shamekhi
Over the course of a typical workday, negative and positive things inevitably happen to you. If you’re like most people, you tend to focus mainly, or even exclusively, on negative experiences.
You Don’t Have to Be the Boss to Change How Your Company WorksVahid Shamekhi
Most workplaces face constant imperatives for change—from trivial-seeming matters such as installing new office printers to major ones such as implementing new policies to support diversity. The question of how to drive change, though, is perennially vexing.
Sound strategic planning is rarely practiced in most organizations today, and at a critical time when the world is changing dramatically, it has never been more necessary.
(Bill Halal)
"On the last day of class, I ask my students to turn those theoretical lenses on themselves, to find cogent answers to three questions: First, how can I be sure that I’ll be happy in my career? Second, how can I be sure that my relationships with my spouse and my family become an enduring source of happiness? Third, how can I be sure I’ll stay out of jail?" Clayton M. Christensen
A great paper for touching forecasting and futures studies. Saffo says "People at cocktail parties are always asking me for stock tips, and then they want to know how my predictions have turned out. Their requests reveal the common but fundamentally erroneous perception that forecasters make predictions."
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
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Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
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- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
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Send an interactive Slack channel message (using buttons)
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But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
27. Alan L. Porter, Futures Research Methods, 2009.
Six Information Types
28. Kerr, C. I. V., L. Mortara, et al. (2006). "A conceptual model for technology intelligence." International Journal of Technology Intelligence and
Planning 1(2): 73‐93
Search Modes
29. Mortara, L., R. Thomson , et al. (2010). "Implementing a Global Technology Sourcing Strategy –scan and target at Kodak European Research."
Research ‐ Technology Management (July‐August).
Technology Intelligence at Kodak European Research (KER)
31. Environmental Scanning
major trends,
issues,
advancements,
events and ideasnewspapers,
magazines, Internet,
television,
conferences, reports,
including science-
fiction books
to analyze various
aspects of the project
and to decide on the key
issues to be examined
lone signals (individual factors that
might indicate change); landmark
events (in various areas of life);
forecasts of experts; and statistical
descriptions
33. Impact Assessment
Provide a reliable base of information
for use by any parties concerned with
the development of the technology
Provide support for a
technological development
Defer or stop the
implementation of a technology
Stimulate research or
development to remedy the
adverse effects of a technology
Khalil, 2000.
34.
35. Trend Analysis
observe and register
the past performance
of a certain factor and
project it into the future
quantitative, mainly based
on statistical data; and
qualitative
Reveal surprising
historical and current
data patterns
38. PATENTS
Patent Analysis is often used by product managers, business
managers and IP strategists in order to synthesize useful
information about companies and/or sectors in terms of
technological competitiveness and the particular trajectory of
technology development (Breitzman and Mogee, 2002).
D. Cetindamar, R. Phaal and D. Probert, TECHNOLOGY MANAGEMENT, 2010.
Patent Search is used to assess the
patentability, novelty, clearance, infringement,
validity and prior art of a technology.
39. Patent analysis is widely used by technology companies engaging
in M&A activities in order to discover the company with the best
price to target from a technology perspective.
Significance of an innovation, that is, the number of
times the patent is cited in R&D planning in
comparison to competitors (Liu and Shyu, 1997).
Number of patents owned
Growth pattern of the technology
40. The patent analysis results are critical inputs for
decision making related to
The type of protection
Number of strategic issues
such as technology
investments and acquisitions
41. Leydesdorff, and I. Rafols, A Global Map of Science Based on the ISI Subject Categories. Journal of the American Society for Information
Science and Technology, 60(2), 348-362, 2009.
42. Leydesdorff, and I. Rafols, A Global Map of Science Based on the ISI Subject Categories. Journal of the American Society for Information
Science and Technology, 60(2), 348-362, 2009.
Vahid Shamekhi, 2010.
47. On average, an industrial scientist innovator
patents once every six years. As we shall see,
however, averages can be misleading—the
majority don’t patent at all…
48. An academic scientist or engineer is
45 times more likely to publish his/her research
than an industrial counterpart. Not surprisingly,
academic researchers contribute about three-
quarters of all publicly available R&D…
49. Too often, innovators
reproduce solutions that are
known elsewhere. One Russian
researcher, Genrich Altshuller,
established that roughly 25% of
all patents solved problems
well known in other disciplines
or industries. Another 35% are
merely minor extensions to
established technologies. Less
than 1% of all patents involve
creation of foundational
knowledge. Altshuller
developed tools to stimulate
invention (TRIZ)…
51. Knowing about others research (and
development) is critical—few companies can do
technology development all by themselves today…
52. A key principle:
Good tech mining exploits multiple information
sources with multiple tools.
In particular, empirical sources (database
mining) need to be complemented by expert
opinion.
53. Technological innovation can
be measured and understood.
Innovation can be tracked—we
have the tools to monitor new
developments in science and
technology.
Innovation involves ideas,
generated by innovators, and
institutions that initiate,
perform, and apply R&D.
Organizations that track
science and technology gain
significant market advantages
over those who do not.
There are advantages in
tracking innovation for all
participants in the innovation
cycle.
1 2
3 4
5