SlideShare a Scribd company logo
SEPT. 3, 2008



Using Technology Intelligence for R&D
Instead of spending weeks and months on R&D, companies are now able to cut this time to
seconds and minutes.


    B Y J O E B U Z Z A N G A , P R O D U C T M A N A G E R , E LS E V I E R




I
    n today’s networked economy, the most effective        What is “Technology Intelligence” — and what
    R&D goes beyond a company’s four walls and             does it mean for the bottom line?
    explores what’s going on in the outside world
                                                           The concept of Technology Intelligence plays an
— in terms of technologies, products, strategies, in-
                                                           important role here, referring to:
novations, thought leaders — and how this infor-
mation can be harnessed and applied to internal in-        “…the activity that enables companies to iden-
novation. But this is not an easy task. Consider this:     tify the technological opportunities and threats
in 2007 the global top 1,250 R&D companies spent           that could affect the future growth and survival of
over $479 billion on R&D.                                  their business. It aims to capture and disseminate
                                                           the technological information needed for strategic
This has resulted in an accelerated movement
                                                           planning and decision-making. As technology life
around the information retrieval process and a
                                                           cycles shorten and business becomes more global-
hunt for technology that accomplishes for business
                                                           ized, having effective Technology Intelligence capa-
researchers what Google has done for consumers.
                                                           bilities is becoming increasingly important.”
This is because corporate R&D ends up wasting
valuable man hours, brain power, and resources on          We’re moving from the “Information Age” to the
information retrieval. Some additional statistics:         “Intelligence Age.” The former was all about build-
                                                           ing the database — i.e. the Web and its vast amount
• According to recent Forrester Research, the vol-
                                                           of content — but today we’ve progressed to creating
  ume of the world’s data doubles approximately
                                                           contextual access to the right pieces of information
  every three years;
                                                           to derive intelligence, meaning and insight.
• Per week, corporate R&D professionals (scien-
                                                           Traditional methods for extracting such “intelli-
  tists and engineers) spend 5.5 hours gathering,
                                                           gence” range from manually sifting through pub-
  looking for or pulling together information, and
                                                           lications and journals, networking or attending
  an additional 4.7 hours analyzing and applying
                                                           tradeshows and focus groups, hiring outsourced
  this information.
                                                           consultants, or just standard surfing the Internet.
Simply stated, 1) there is a lot of information out        Yet both in their individual silos, as well as when
there, 2) companies recognize the value of this in-        mapped out across each other, these methods still
formation and therefore are willing to spend money         prove to have a number of drawbacks: difficult to
to retrieve and analyze it, but 3) seem to spend too       identify relevant information, take weeks or months
much time doing so. Bottom line, people aren’t lack-       to complete, resource intensive, expensive, and in
ing information, but rather need insights gleaned          the end return unpredictable results.
from this information.
                                                           Going a layer deeper, the actual information that
Building upon the principles of Open Innovation,           such approaches present often falls short of its po-
there are new techniques and technologies that             tential. For example, any search engine to date, paid
bring structure, relevance and meaning to unlock           or free, provides results in the form of records with
content on the Internet for actionable business pur-       citations (i.e.: title and abstract), similar to a Google
poses. This goes beyond simple Google keyword              search. But an important transition is happening in
searches, and leverages approaches that intuitively        the technology intelligence field, shifting from cita-
search based on real-world problems and solutions.         tions to meaning: actually understanding citations
In doing so, instead of spending weeks and months          that are in the search results, and then extracting
on R&D, companies are now able to cut this time to         meaning and insights from this query data.
seconds and minutes.
APRIL. 2, 2008
One way to think of this is in a simple formula:          From this introductory summary screen, you can
CIsquared: providing Intelligent Information within       click on categories or specific items to drill down
Context. By combining Web content, premium                and look at some of the specific items returned. For
scientific journals and patent information with            example, if you select “heat recovery” as one of
“smart” search technology and analysis, there is a        the approaches returned, you receive a number of
new breed of technology that allows companies to          records which highlight the “benefit” (in this case
quickly search and summarize answers that are not         “reduce energy consumption”) and the solution.
available through traditional search tools. The key       One such results from a scholarly journal reports
difference here is in the approach and results: this is   that, “In mechanically ventilated buildings, heat
a first attempt to cut information overload and find        recovery from ventilation air is the single most im-
the solutions to technical and business problems          portant means of reducing ventilation energy con-
with results that are relevant and have meaning.          sumption.” From there you can click on the text
                                                          and be directed to the original content source.
For example, a Fortune 100 materials company
might research who offers a technology that they can      What’s unique is that, because this leverages in-
license or acquire to complete their product line,        tuitive search technology called text analytics and
and find multiple M&A candidates. Or, a chemical           “semantics,” the results are analyzed, relevant and
company can search for who they can license exist-        organized to be easily accessible and actionable,
ing technologies to, and uncover opportunities with       cutting lots of time from R&D efforts. All-in-all, a
several totally new candidates. In other instances,       very comprehensive, but even more importantly
companies can use it to identify who might be vio-        relevant, accurate, and applicable set of solutions
lating their patents in specific areas, and discover       are provided in minutes, as opposed to the days and
multiple infringers in an adjacent market. In other       week (or months!) that research would take with
instances companies can use it quickly scan tech-         more traditional methods.
nical approaches to research problems, often un-
                                                          This approach is a tool that can be leveraged in
covering novel or unexpected “long tail” solutions.
                                                          speeding up the retrieval, access and distillation of
Let’s look at a specific search...
                                                          data, and thus serves as an agent of this transforma-
                                                          tion of change.
Intelligent Research in Practice —
and in Seconds                                            Looking Ahead to the “Intelligent Age”
A company looking to gather information on how            Thought leaders in all industries are recognizing
to “green” their facility could set out on a search       the benefits of looking outside one’s organization
for innovative methods and strategies manufactur-         for information, from academic institutions such
ers can deploy to reduce their energy consumption         as Harvard Law School opening up their scholarly
while running cleaner-and-greener facilities. As          content for public access, to corporate entities like
opposed to hiring an out-sourced consulting firm,          3M and P&G adopting new technologies such as El-
tapping into focus groups, analyst research or even       sevier’s illumin8 to transform their R&D efforts. A
doing a keyword Google search, a knowledge work-          variety of industries are finding that these tools can
er can use such technology intelligence tools. Basi-      serve as a massive boost for the quantity of produc-
cally, just type in “reduce energy consumption” as        tivity as well as the quality of output.
the “benefit” which you are trying to gather infor-
mation on, similar to what an end-user would do in        The ramifications of such workflow and produc-
a simple keyword search. Further refinement can be         tivity enhancing solutions help facilitate more ef-
made — akin to an “advanced search” — to encom-           ficient scientific research, branching outside an or-
pass relevant synonyms that should be included in         ganization, bringing new ideas in and, as a result,
the query.                                                developing innovative, scalable products that meet
                                                          objectives in the manufacturing process. By mas-
When you click “search,” in less than a minute a          sively condensing these practices into a consoli-
comprehensive, organized summary of information           dated search, companies can exponentially speed
is returned based on gathering data found on the          time to market to grow quicker than they ever could
public web, as well as premium subscription jour-         before. That is the power — and future — of the
nals, scientific content, patents and abstracts. The       evolving information age. In fact, I think we might
initial screen provides a high-level solution sum-        start to call it “the intelligence age.
mary, broken down into a variety of categories such
as products, companies, organizations, thought
leaders, and approaches. For example, here the EPA
                                                          Joe Buzzanga is a product manager at Elsevier which
and Department of Energy both returned high re-
                                                          is a publisher of scientific, technical and medical in-
sults in the “Organizations” category, while lighting
                                                          formation products and services. www.illumin8.com
and insulation provided a number of solutions in
the “Approaches” category.


                                    Copyright © 2008 by Penton Media, Inc.

More Related Content

What's hot

Make compliance fulfillment count double
Make compliance fulfillment count doubleMake compliance fulfillment count double
Make compliance fulfillment count double
Dirk Ortloff
 
HPE IDOL 10 (Intelligent Data Operating Layer)
HPE IDOL 10 (Intelligent Data Operating Layer)HPE IDOL 10 (Intelligent Data Operating Layer)
HPE IDOL 10 (Intelligent Data Operating Layer)
Andrey Karpov
 
Why Big Data Analytics Needs Business Intelligence Too
Why Big Data Analytics Needs Business Intelligence Too Why Big Data Analytics Needs Business Intelligence Too
Why Big Data Analytics Needs Business Intelligence Too
Barry Devlin
 
Business unIntelligence, Chapter 5
Business unIntelligence, Chapter 5Business unIntelligence, Chapter 5
Business unIntelligence, Chapter 5
Barry Devlin
 
Business unIntelligence - a Whistle Stop Tour
Business unIntelligence - a Whistle Stop TourBusiness unIntelligence - a Whistle Stop Tour
Business unIntelligence - a Whistle Stop Tour
Barry Devlin
 
How new ai based analytics ignite a productivity revolution in e discovery-final
How new ai based analytics ignite a productivity revolution in e discovery-finalHow new ai based analytics ignite a productivity revolution in e discovery-final
How new ai based analytics ignite a productivity revolution in e discovery-final
jcscholtes
 
Scaling the mirrorworld with knowledge graphs
Scaling the mirrorworld with knowledge graphsScaling the mirrorworld with knowledge graphs
Scaling the mirrorworld with knowledge graphs
Alan Morrison
 
Making sense of BI
Making sense of BIMaking sense of BI
Making sense of BI
Ralph Martino
 
The Open Group Conference Panel Explores How the Big Data Era Now Challenges ...
The Open Group Conference Panel Explores How the Big Data Era Now Challenges ...The Open Group Conference Panel Explores How the Big Data Era Now Challenges ...
The Open Group Conference Panel Explores How the Big Data Era Now Challenges ...
Dana Gardner
 
How Can Analytics Improve Business?
How Can Analytics Improve Business?How Can Analytics Improve Business?
How Can Analytics Improve Business?
Inside Analysis
 
IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...
IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...
IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...
IRJET Journal
 
Ibm 1129-the big data zoo
Ibm 1129-the big data zooIbm 1129-the big data zoo
Ibm 1129-the big data zooAccenture
 
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...
Dana Gardner
 
Keynote Dubai
Keynote DubaiKeynote Dubai
Keynote Dubai
Neil Raden
 
Global Data Management: Governance, Security and Usefulness in a Hybrid World
Global Data Management: Governance, Security and Usefulness in a Hybrid WorldGlobal Data Management: Governance, Security and Usefulness in a Hybrid World
Global Data Management: Governance, Security and Usefulness in a Hybrid World
Neil Raden
 
IBM_Analytics_eBook_07 15 16
IBM_Analytics_eBook_07 15 16IBM_Analytics_eBook_07 15 16
IBM_Analytics_eBook_07 15 16Volkan Tekeli
 

What's hot (17)

Make compliance fulfillment count double
Make compliance fulfillment count doubleMake compliance fulfillment count double
Make compliance fulfillment count double
 
HPE IDOL 10 (Intelligent Data Operating Layer)
HPE IDOL 10 (Intelligent Data Operating Layer)HPE IDOL 10 (Intelligent Data Operating Layer)
HPE IDOL 10 (Intelligent Data Operating Layer)
 
Why Big Data Analytics Needs Business Intelligence Too
Why Big Data Analytics Needs Business Intelligence Too Why Big Data Analytics Needs Business Intelligence Too
Why Big Data Analytics Needs Business Intelligence Too
 
Business unIntelligence, Chapter 5
Business unIntelligence, Chapter 5Business unIntelligence, Chapter 5
Business unIntelligence, Chapter 5
 
Business unIntelligence - a Whistle Stop Tour
Business unIntelligence - a Whistle Stop TourBusiness unIntelligence - a Whistle Stop Tour
Business unIntelligence - a Whistle Stop Tour
 
How new ai based analytics ignite a productivity revolution in e discovery-final
How new ai based analytics ignite a productivity revolution in e discovery-finalHow new ai based analytics ignite a productivity revolution in e discovery-final
How new ai based analytics ignite a productivity revolution in e discovery-final
 
Scaling the mirrorworld with knowledge graphs
Scaling the mirrorworld with knowledge graphsScaling the mirrorworld with knowledge graphs
Scaling the mirrorworld with knowledge graphs
 
The ABCs of Big Data
The ABCs of Big DataThe ABCs of Big Data
The ABCs of Big Data
 
Making sense of BI
Making sense of BIMaking sense of BI
Making sense of BI
 
The Open Group Conference Panel Explores How the Big Data Era Now Challenges ...
The Open Group Conference Panel Explores How the Big Data Era Now Challenges ...The Open Group Conference Panel Explores How the Big Data Era Now Challenges ...
The Open Group Conference Panel Explores How the Big Data Era Now Challenges ...
 
How Can Analytics Improve Business?
How Can Analytics Improve Business?How Can Analytics Improve Business?
How Can Analytics Improve Business?
 
IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...
IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...
IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...
 
Ibm 1129-the big data zoo
Ibm 1129-the big data zooIbm 1129-the big data zoo
Ibm 1129-the big data zoo
 
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...
 
Keynote Dubai
Keynote DubaiKeynote Dubai
Keynote Dubai
 
Global Data Management: Governance, Security and Usefulness in a Hybrid World
Global Data Management: Governance, Security and Usefulness in a Hybrid WorldGlobal Data Management: Governance, Security and Usefulness in a Hybrid World
Global Data Management: Governance, Security and Usefulness in a Hybrid World
 
IBM_Analytics_eBook_07 15 16
IBM_Analytics_eBook_07 15 16IBM_Analytics_eBook_07 15 16
IBM_Analytics_eBook_07 15 16
 

Similar to Technology Intelligence for R&D

Analysing Knowledge Requirements A Case Study
Analysing Knowledge Requirements  A Case StudyAnalysing Knowledge Requirements  A Case Study
Analysing Knowledge Requirements A Case Study
Aaron Anyaakuu
 
Oea big-data-guide-1522052
Oea big-data-guide-1522052Oea big-data-guide-1522052
Oea big-data-guide-1522052kavi172
 
Analytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docx
Analytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docxAnalytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docx
Analytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docx
SHIVA101531
 
Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...
Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...
Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...
Findwise
 
The new pattern of innovation Palash Badjatya
The new pattern of innovation   Palash BadjatyaThe new pattern of innovation   Palash Badjatya
The new pattern of innovation Palash Badjatya
Acropolis Technical Campus
 
Introduction to business analyticsand historidal overview.pptx
Introduction to business analyticsand historidal overview.pptxIntroduction to business analyticsand historidal overview.pptx
Introduction to business analyticsand historidal overview.pptx
SambarajuRavalika
 
Big Data & Investment Management: The Potential to Quantify Traditionally Qua...
Big Data & Investment Management: The Potential to Quantify Traditionally Qua...Big Data & Investment Management: The Potential to Quantify Traditionally Qua...
Big Data & Investment Management: The Potential to Quantify Traditionally Qua...
Ken Cutroneo
 
Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
IRJET Journal
 
iabsg_dataroundtable
iabsg_dataroundtableiabsg_dataroundtable
iabsg_dataroundtablePeter Hubert
 
Organizational Behavior Question#3
Organizational Behavior Question#3Organizational Behavior Question#3
Organizational Behavior Question#3Waseem Saeed
 
Pervasive, intelligent cloud ecosystems, spectacular firms and frontier firms...
Pervasive, intelligent cloud ecosystems, spectacular firms and frontier firms...Pervasive, intelligent cloud ecosystems, spectacular firms and frontier firms...
Pervasive, intelligent cloud ecosystems, spectacular firms and frontier firms...
Economic Strategy Institute
 
Machine Intelligence: The Hypergiant Edition
Machine Intelligence: The Hypergiant EditionMachine Intelligence: The Hypergiant Edition
Machine Intelligence: The Hypergiant Edition
Hypergiant
 
How Data Virtualization Puts Machine Learning into Production (APAC)
How Data Virtualization Puts Machine Learning into Production (APAC)How Data Virtualization Puts Machine Learning into Production (APAC)
How Data Virtualization Puts Machine Learning into Production (APAC)
Denodo
 
The Future of Advance Analytics
The Future of Advance Analytics The Future of Advance Analytics
The Future of Advance Analytics
InnoTech
 
Open innovation and technology transfer chp 11
Open innovation and technology transfer chp 11Open innovation and technology transfer chp 11
Open innovation and technology transfer chp 11
AartiPandey63
 
Ba & nexus of info
Ba & nexus of infoBa & nexus of info
Ba & nexus of infoAccenture
 
Facilitating Collaborative Life Science Research in Commercial & Enterprise E...
Facilitating Collaborative Life Science Research in Commercial & Enterprise E...Facilitating Collaborative Life Science Research in Commercial & Enterprise E...
Facilitating Collaborative Life Science Research in Commercial & Enterprise E...
Chris Dagdigian
 
London 2012 brochure - Enterprise Content Management
London 2012 brochure - Enterprise Content ManagementLondon 2012 brochure - Enterprise Content Management
London 2012 brochure - Enterprise Content Management
Atos Benelux and the Nordics
 
Big data
Big dataBig data
Big data
Pooja Shah
 
Joining It All Up - KIM Legal
Joining It All Up - KIM LegalJoining It All Up - KIM Legal
Joining It All Up - KIM Legal
Kate Simpson
 

Similar to Technology Intelligence for R&D (20)

Analysing Knowledge Requirements A Case Study
Analysing Knowledge Requirements  A Case StudyAnalysing Knowledge Requirements  A Case Study
Analysing Knowledge Requirements A Case Study
 
Oea big-data-guide-1522052
Oea big-data-guide-1522052Oea big-data-guide-1522052
Oea big-data-guide-1522052
 
Analytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docx
Analytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docxAnalytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docx
Analytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docx
 
Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...
Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...
Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...
 
The new pattern of innovation Palash Badjatya
The new pattern of innovation   Palash BadjatyaThe new pattern of innovation   Palash Badjatya
The new pattern of innovation Palash Badjatya
 
Introduction to business analyticsand historidal overview.pptx
Introduction to business analyticsand historidal overview.pptxIntroduction to business analyticsand historidal overview.pptx
Introduction to business analyticsand historidal overview.pptx
 
Big Data & Investment Management: The Potential to Quantify Traditionally Qua...
Big Data & Investment Management: The Potential to Quantify Traditionally Qua...Big Data & Investment Management: The Potential to Quantify Traditionally Qua...
Big Data & Investment Management: The Potential to Quantify Traditionally Qua...
 
Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
 
iabsg_dataroundtable
iabsg_dataroundtableiabsg_dataroundtable
iabsg_dataroundtable
 
Organizational Behavior Question#3
Organizational Behavior Question#3Organizational Behavior Question#3
Organizational Behavior Question#3
 
Pervasive, intelligent cloud ecosystems, spectacular firms and frontier firms...
Pervasive, intelligent cloud ecosystems, spectacular firms and frontier firms...Pervasive, intelligent cloud ecosystems, spectacular firms and frontier firms...
Pervasive, intelligent cloud ecosystems, spectacular firms and frontier firms...
 
Machine Intelligence: The Hypergiant Edition
Machine Intelligence: The Hypergiant EditionMachine Intelligence: The Hypergiant Edition
Machine Intelligence: The Hypergiant Edition
 
How Data Virtualization Puts Machine Learning into Production (APAC)
How Data Virtualization Puts Machine Learning into Production (APAC)How Data Virtualization Puts Machine Learning into Production (APAC)
How Data Virtualization Puts Machine Learning into Production (APAC)
 
The Future of Advance Analytics
The Future of Advance Analytics The Future of Advance Analytics
The Future of Advance Analytics
 
Open innovation and technology transfer chp 11
Open innovation and technology transfer chp 11Open innovation and technology transfer chp 11
Open innovation and technology transfer chp 11
 
Ba & nexus of info
Ba & nexus of infoBa & nexus of info
Ba & nexus of info
 
Facilitating Collaborative Life Science Research in Commercial & Enterprise E...
Facilitating Collaborative Life Science Research in Commercial & Enterprise E...Facilitating Collaborative Life Science Research in Commercial & Enterprise E...
Facilitating Collaborative Life Science Research in Commercial & Enterprise E...
 
London 2012 brochure - Enterprise Content Management
London 2012 brochure - Enterprise Content ManagementLondon 2012 brochure - Enterprise Content Management
London 2012 brochure - Enterprise Content Management
 
Big data
Big dataBig data
Big data
 
Joining It All Up - KIM Legal
Joining It All Up - KIM LegalJoining It All Up - KIM Legal
Joining It All Up - KIM Legal
 

More from Joe Buzzanga

U.S. Consumer Search Preferences Q1 2017
U.S. Consumer Search Preferences Q1 2017U.S. Consumer Search Preferences Q1 2017
U.S. Consumer Search Preferences Q1 2017
Joe Buzzanga
 
Intelligent personal assistant testing 1
Intelligent personal assistant testing  1Intelligent personal assistant testing  1
Intelligent personal assistant testing 1
Joe Buzzanga
 
Google decode q3 2015 toc
Google decode q3 2015 tocGoogle decode q3 2015 toc
Google decode q3 2015 toc
Joe Buzzanga
 
Google decode q3 toc
Google decode q3 tocGoogle decode q3 toc
Google decode q3 toc
Joe Buzzanga
 
Google Decode q2 2014 toc
Google Decode q2 2014 tocGoogle Decode q2 2014 toc
Google Decode q2 2014 toc
Joe Buzzanga
 
Is Google Evil 3.0
Is Google Evil 3.0Is Google Evil 3.0
Is Google Evil 3.0Joe Buzzanga
 
Building Network Elements Using Intel Network Processors and ATCA
Building Network Elements Using Intel Network Processors and ATCABuilding Network Elements Using Intel Network Processors and ATCA
Building Network Elements Using Intel Network Processors and ATCA
Joe Buzzanga
 
London Online 2008
London Online 2008London Online 2008
London Online 2008
Joe Buzzanga
 
SLA Summer 2008
SLA Summer 2008SLA Summer 2008
SLA Summer 2008
Joe Buzzanga
 

More from Joe Buzzanga (9)

U.S. Consumer Search Preferences Q1 2017
U.S. Consumer Search Preferences Q1 2017U.S. Consumer Search Preferences Q1 2017
U.S. Consumer Search Preferences Q1 2017
 
Intelligent personal assistant testing 1
Intelligent personal assistant testing  1Intelligent personal assistant testing  1
Intelligent personal assistant testing 1
 
Google decode q3 2015 toc
Google decode q3 2015 tocGoogle decode q3 2015 toc
Google decode q3 2015 toc
 
Google decode q3 toc
Google decode q3 tocGoogle decode q3 toc
Google decode q3 toc
 
Google Decode q2 2014 toc
Google Decode q2 2014 tocGoogle Decode q2 2014 toc
Google Decode q2 2014 toc
 
Is Google Evil 3.0
Is Google Evil 3.0Is Google Evil 3.0
Is Google Evil 3.0
 
Building Network Elements Using Intel Network Processors and ATCA
Building Network Elements Using Intel Network Processors and ATCABuilding Network Elements Using Intel Network Processors and ATCA
Building Network Elements Using Intel Network Processors and ATCA
 
London Online 2008
London Online 2008London Online 2008
London Online 2008
 
SLA Summer 2008
SLA Summer 2008SLA Summer 2008
SLA Summer 2008
 

Recently uploaded

Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
RTTS
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 

Recently uploaded (20)

Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 

Technology Intelligence for R&D

  • 1. SEPT. 3, 2008 Using Technology Intelligence for R&D Instead of spending weeks and months on R&D, companies are now able to cut this time to seconds and minutes. B Y J O E B U Z Z A N G A , P R O D U C T M A N A G E R , E LS E V I E R I n today’s networked economy, the most effective What is “Technology Intelligence” — and what R&D goes beyond a company’s four walls and does it mean for the bottom line? explores what’s going on in the outside world The concept of Technology Intelligence plays an — in terms of technologies, products, strategies, in- important role here, referring to: novations, thought leaders — and how this infor- mation can be harnessed and applied to internal in- “…the activity that enables companies to iden- novation. But this is not an easy task. Consider this: tify the technological opportunities and threats in 2007 the global top 1,250 R&D companies spent that could affect the future growth and survival of over $479 billion on R&D. their business. It aims to capture and disseminate the technological information needed for strategic This has resulted in an accelerated movement planning and decision-making. As technology life around the information retrieval process and a cycles shorten and business becomes more global- hunt for technology that accomplishes for business ized, having effective Technology Intelligence capa- researchers what Google has done for consumers. bilities is becoming increasingly important.” This is because corporate R&D ends up wasting valuable man hours, brain power, and resources on We’re moving from the “Information Age” to the information retrieval. Some additional statistics: “Intelligence Age.” The former was all about build- ing the database — i.e. the Web and its vast amount • According to recent Forrester Research, the vol- of content — but today we’ve progressed to creating ume of the world’s data doubles approximately contextual access to the right pieces of information every three years; to derive intelligence, meaning and insight. • Per week, corporate R&D professionals (scien- Traditional methods for extracting such “intelli- tists and engineers) spend 5.5 hours gathering, gence” range from manually sifting through pub- looking for or pulling together information, and lications and journals, networking or attending an additional 4.7 hours analyzing and applying tradeshows and focus groups, hiring outsourced this information. consultants, or just standard surfing the Internet. Simply stated, 1) there is a lot of information out Yet both in their individual silos, as well as when there, 2) companies recognize the value of this in- mapped out across each other, these methods still formation and therefore are willing to spend money prove to have a number of drawbacks: difficult to to retrieve and analyze it, but 3) seem to spend too identify relevant information, take weeks or months much time doing so. Bottom line, people aren’t lack- to complete, resource intensive, expensive, and in ing information, but rather need insights gleaned the end return unpredictable results. from this information. Going a layer deeper, the actual information that Building upon the principles of Open Innovation, such approaches present often falls short of its po- there are new techniques and technologies that tential. For example, any search engine to date, paid bring structure, relevance and meaning to unlock or free, provides results in the form of records with content on the Internet for actionable business pur- citations (i.e.: title and abstract), similar to a Google poses. This goes beyond simple Google keyword search. But an important transition is happening in searches, and leverages approaches that intuitively the technology intelligence field, shifting from cita- search based on real-world problems and solutions. tions to meaning: actually understanding citations In doing so, instead of spending weeks and months that are in the search results, and then extracting on R&D, companies are now able to cut this time to meaning and insights from this query data. seconds and minutes.
  • 2. APRIL. 2, 2008 One way to think of this is in a simple formula: From this introductory summary screen, you can CIsquared: providing Intelligent Information within click on categories or specific items to drill down Context. By combining Web content, premium and look at some of the specific items returned. For scientific journals and patent information with example, if you select “heat recovery” as one of “smart” search technology and analysis, there is a the approaches returned, you receive a number of new breed of technology that allows companies to records which highlight the “benefit” (in this case quickly search and summarize answers that are not “reduce energy consumption”) and the solution. available through traditional search tools. The key One such results from a scholarly journal reports difference here is in the approach and results: this is that, “In mechanically ventilated buildings, heat a first attempt to cut information overload and find recovery from ventilation air is the single most im- the solutions to technical and business problems portant means of reducing ventilation energy con- with results that are relevant and have meaning. sumption.” From there you can click on the text and be directed to the original content source. For example, a Fortune 100 materials company might research who offers a technology that they can What’s unique is that, because this leverages in- license or acquire to complete their product line, tuitive search technology called text analytics and and find multiple M&A candidates. Or, a chemical “semantics,” the results are analyzed, relevant and company can search for who they can license exist- organized to be easily accessible and actionable, ing technologies to, and uncover opportunities with cutting lots of time from R&D efforts. All-in-all, a several totally new candidates. In other instances, very comprehensive, but even more importantly companies can use it to identify who might be vio- relevant, accurate, and applicable set of solutions lating their patents in specific areas, and discover are provided in minutes, as opposed to the days and multiple infringers in an adjacent market. In other week (or months!) that research would take with instances companies can use it quickly scan tech- more traditional methods. nical approaches to research problems, often un- This approach is a tool that can be leveraged in covering novel or unexpected “long tail” solutions. speeding up the retrieval, access and distillation of Let’s look at a specific search... data, and thus serves as an agent of this transforma- tion of change. Intelligent Research in Practice — and in Seconds Looking Ahead to the “Intelligent Age” A company looking to gather information on how Thought leaders in all industries are recognizing to “green” their facility could set out on a search the benefits of looking outside one’s organization for innovative methods and strategies manufactur- for information, from academic institutions such ers can deploy to reduce their energy consumption as Harvard Law School opening up their scholarly while running cleaner-and-greener facilities. As content for public access, to corporate entities like opposed to hiring an out-sourced consulting firm, 3M and P&G adopting new technologies such as El- tapping into focus groups, analyst research or even sevier’s illumin8 to transform their R&D efforts. A doing a keyword Google search, a knowledge work- variety of industries are finding that these tools can er can use such technology intelligence tools. Basi- serve as a massive boost for the quantity of produc- cally, just type in “reduce energy consumption” as tivity as well as the quality of output. the “benefit” which you are trying to gather infor- mation on, similar to what an end-user would do in The ramifications of such workflow and produc- a simple keyword search. Further refinement can be tivity enhancing solutions help facilitate more ef- made — akin to an “advanced search” — to encom- ficient scientific research, branching outside an or- pass relevant synonyms that should be included in ganization, bringing new ideas in and, as a result, the query. developing innovative, scalable products that meet objectives in the manufacturing process. By mas- When you click “search,” in less than a minute a sively condensing these practices into a consoli- comprehensive, organized summary of information dated search, companies can exponentially speed is returned based on gathering data found on the time to market to grow quicker than they ever could public web, as well as premium subscription jour- before. That is the power — and future — of the nals, scientific content, patents and abstracts. The evolving information age. In fact, I think we might initial screen provides a high-level solution sum- start to call it “the intelligence age. mary, broken down into a variety of categories such as products, companies, organizations, thought leaders, and approaches. For example, here the EPA Joe Buzzanga is a product manager at Elsevier which and Department of Energy both returned high re- is a publisher of scientific, technical and medical in- sults in the “Organizations” category, while lighting formation products and services. www.illumin8.com and insulation provided a number of solutions in the “Approaches” category. Copyright © 2008 by Penton Media, Inc.